LibTest.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# SSH Open Marketplace data quality overview\n",
    "\n",
    "This notebook offers an overview of the SSH Open Marketplace dataset and was built to help moderators to: 1/ gain a better understanding of the SSH Open Marketplace data population; 2/ prioritising their curation tasks.  \n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 0. Requirements to run the notebook\n",
    "\n",
    "This section should give all the relevant information to \"interact\" with the MP data (whatever the method we choose at the end).\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 0.1\n",
    "*There are a number of external libraries needed to run the notebook, a cell with python import commands is required to import them. Below the import for libraries needed for this notebook*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd #to manage dataframes\n",
    "import matplotlib.pyplot as plt #to create histograms and images\n",
    "import seaborn as sns #to create histograms and images\n",
    "import json #to manage json objects\n",
    "from sshmarketplacelib import MPData as mpd\n",
    "from sshmarketplacelib import  eval as eva, helper as hel"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 0.2\n",
    "\n",
    "*The data that we want in this notebook check must be downloaded, the following cell downloads data using the util functions.*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "getting data from local repository...\n",
      "getting data from local repository...\n",
      "getting data from local repository...\n",
      "getting data from local repository...\n",
      "getting data from local repository...\n"
     ]
    }
   ],
   "source": [
    "\n",
    "mpdata = mpd()\n",
    "df_tool_flat =mpdata.getMPItems (\"toolsandservices\", True)\n",
    "df_publication_flat =mpdata.getMPItems (\"publications\", True)\n",
    "df_trainingmaterials_flat =mpdata.getMPItems (\"trainingmaterials\", True)\n",
    "df_workflows_flat =mpdata.getMPItems (\"workflows\", True)\n",
    "df_datasets_flat =mpdata.getMPItems (\"datasets\", True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Help on method getMPItems in module sshmarketplacelib.mpdata:\n",
      "\n",
      "getMPItems(itemscategory, localrepository=False, pages=0) method of sshmarketplacelib.mpdata.MPData instance\n",
      "    Loads data from MP dataset. This method creates a dataframe, stores it in a local repository and returns it to the caller.\n",
      "    \n",
      "    Parameters:\n",
      "    -----------\n",
      "    itemscategory : str\n",
      "        The category of items, possible values are: \"toolsandservices\", \"publications\", \"trainingmaterials\", \"workflows\", \"dataset\"\n",
      "    localrepository : boolean, optional\n",
      "    pages : int, optional\n",
      "        The number of pages, default is all\n",
      "    \n",
      "    Returns:\n",
      "    --------\n",
      "    DataFrame: Returning value\n",
      "    \n",
      "    If the localrepository parameter is 'FALSE' or is not specified, the items are downloaded from the MP dataset, \n",
      "    if the localrepository parameter is 'TRUE' the items are first searched in the local repository and \n",
      "    if they are not present they are downloaded from the remote MP dataset. \n",
      "    When the items are downloaded from the remote MP dataset they are stored in locally.\n",
      "    If the pages parameter is not provided all descriptions are returned, otherwise 20*pages items are returned.\n",
      "\n"
     ]
    }
   ],
   "source": [
    "help(mpdata.getMPItems)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 0.2.1\n",
    "*The function getMPItems(category, local) used in the previous cell, returns all the items of the specific category as a table where the colums are the attributes. It is useful to display the structure of the table. In the next cell the structure of the __df_publication_flat__ table is shown(all tables obtained with the getMPItems functions have the same structure)*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>category</th>\n",
       "      <th>label</th>\n",
       "      <th>persistentId</th>\n",
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       "      <th>contributors</th>\n",
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       "      <th>externalIds</th>\n",
       "      <th>...</th>\n",
       "      <th>thumbnail.concept.code</th>\n",
       "      <th>thumbnail.concept.vocabulary.code</th>\n",
       "      <th>thumbnail.concept.vocabulary.scheme</th>\n",
       "      <th>thumbnail.concept.vocabulary.namespace</th>\n",
       "      <th>thumbnail.concept.vocabulary.label</th>\n",
       "      <th>thumbnail.concept.vocabulary.closed</th>\n",
       "      <th>thumbnail.concept.label</th>\n",
       "      <th>thumbnail.concept.notation</th>\n",
       "      <th>thumbnail.concept.uri</th>\n",
       "      <th>thumbnail.concept.candidate</th>\n",
       "    </tr>\n",
       "  </thead>\n",
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       "      <th>0</th>\n",
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       "      <td>tool-or-service</td>\n",
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       "      <td>SIU1nO</td>\n",
       "      <td>2021-11-23T17:24:25+0000</td>\n",
       "      <td>approved</td>\n",
       "      <td>140kit provides a management layer for tweet c...</td>\n",
       "      <td>[{'actor': {'id': 2224, 'name': 'Ian Pearce, D...</td>\n",
       "      <td>[{'type': {'code': 'mode-of-use', 'label': 'Mo...</td>\n",
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       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
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       "      <td>tool-or-service</td>\n",
       "      <td>3DF Zephyr - photogrammetry software - 3d mode...</td>\n",
       "      <td>4gDAHv</td>\n",
       "      <td>2022-01-13T11:49:02+0000</td>\n",
       "      <td>approved</td>\n",
       "      <td>3DF Zephyr\\[1\\]\\[2\\] is a commercial photogram...</td>\n",
       "      <td>[]</td>\n",
       "      <td>[{'type': {'code': 'language', 'label': 'Langu...</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>40579</td>\n",
       "      <td>tool-or-service</td>\n",
       "      <td>3DHOP</td>\n",
       "      <td>UcxOmD</td>\n",
       "      <td>2022-03-18T16:25:26+0000</td>\n",
       "      <td>approved</td>\n",
       "      <td>3DHOP (3D Heritage Online Presenter) is an ope...</td>\n",
       "      <td>[]</td>\n",
       "      <td>[{'type': {'code': 'language', 'label': 'Langu...</td>\n",
       "      <td>[]</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>36555</td>\n",
       "      <td>tool-or-service</td>\n",
       "      <td>3DHOP: 3D Heritage Online Presenter</td>\n",
       "      <td>uFIMPQ</td>\n",
       "      <td>2022-01-13T11:50:32+0000</td>\n",
       "      <td>approved</td>\n",
       "      <td>No description provided.</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>36189</td>\n",
       "      <td>tool-or-service</td>\n",
       "      <td>3DReshaper \\| 3DReshaper</td>\n",
       "      <td>kAkzuz</td>\n",
       "      <td>2022-01-13T11:47:44+0000</td>\n",
       "      <td>approved</td>\n",
       "      <td>No description provided.</td>\n",
       "      <td>[]</td>\n",
       "      <td>[{'type': {'code': 'language', 'label': 'Langu...</td>\n",
       "      <td>[]</td>\n",
       "      <td>...</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 43 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      id         category                                              label  \\\n",
       "0  28230  tool-or-service                                             140kit   \n",
       "1  36324  tool-or-service  3DF Zephyr - photogrammetry software - 3d mode...   \n",
       "2  40579  tool-or-service                                              3DHOP   \n",
       "3  36555  tool-or-service                3DHOP: 3D Heritage Online Presenter   \n",
       "4  36189  tool-or-service                           3DReshaper \\| 3DReshaper   \n",
       "\n",
       "  persistentId            lastInfoUpdate    status  \\\n",
       "0       SIU1nO  2021-11-23T17:24:25+0000  approved   \n",
       "1       4gDAHv  2022-01-13T11:49:02+0000  approved   \n",
       "2       UcxOmD  2022-03-18T16:25:26+0000  approved   \n",
       "3       uFIMPQ  2022-01-13T11:50:32+0000  approved   \n",
       "4       kAkzuz  2022-01-13T11:47:44+0000  approved   \n",
       "\n",
       "                                         description  \\\n",
       "0  140kit provides a management layer for tweet c...   \n",
       "1  3DF Zephyr\\[1\\]\\[2\\] is a commercial photogram...   \n",
       "2  3DHOP (3D Heritage Online Presenter) is an ope...   \n",
       "3                           No description provided.   \n",
       "4                           No description provided.   \n",
       "\n",
       "                                        contributors  \\\n",
       "0  [{'actor': {'id': 2224, 'name': 'Ian Pearce, D...   \n",
       "1                                                 []   \n",
       "2                                                 []   \n",
       "3                                                 []   \n",
       "4                                                 []   \n",
       "\n",
       "                                          properties externalIds  ...  \\\n",
       "0  [{'type': {'code': 'mode-of-use', 'label': 'Mo...          []  ...   \n",
       "1  [{'type': {'code': 'language', 'label': 'Langu...          []  ...   \n",
       "2  [{'type': {'code': 'language', 'label': 'Langu...          []  ...   \n",
       "3                                                 []          []  ...   \n",
       "4  [{'type': {'code': 'language', 'label': 'Langu...          []  ...   \n",
       "\n",
       "  thumbnail.concept.code thumbnail.concept.vocabulary.code  \\\n",
       "0                    NaN                               NaN   \n",
       "1                    NaN                               NaN   \n",
       "2                    NaN                               NaN   \n",
       "3                    NaN                               NaN   \n",
       "4                    NaN                               NaN   \n",
       "\n",
       "  thumbnail.concept.vocabulary.scheme thumbnail.concept.vocabulary.namespace  \\\n",
       "0                                 NaN                                    NaN   \n",
       "1                                 NaN                                    NaN   \n",
       "2                                 NaN                                    NaN   \n",
       "3                                 NaN                                    NaN   \n",
       "4                                 NaN                                    NaN   \n",
       "\n",
       "   thumbnail.concept.vocabulary.label thumbnail.concept.vocabulary.closed  \\\n",
       "0                                 NaN                                 NaN   \n",
       "1                                 NaN                                 NaN   \n",
       "2                                 NaN                                 NaN   \n",
       "3                                 NaN                                 NaN   \n",
       "4                                 NaN                                 NaN   \n",
       "\n",
       "  thumbnail.concept.label thumbnail.concept.notation thumbnail.concept.uri  \\\n",
       "0                     NaN                        NaN                   NaN   \n",
       "1                     NaN                        NaN                   NaN   \n",
       "2                     NaN                        NaN                   NaN   \n",
       "3                     NaN                        NaN                   NaN   \n",
       "4                     NaN                        NaN                   NaN   \n",
       "\n",
       "  thumbnail.concept.candidate  \n",
       "0                         NaN  \n",
       "1                         NaN  \n",
       "2                         NaN  \n",
       "3                         NaN  \n",
       "4                         NaN  \n",
       "\n",
       "[5 rows x 43 columns]"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_tool_flat.head()\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1. SSH Open Marketplace items provenance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dblp: DH Publications            2810\n",
       "TAPoR                            1302\n",
       "CLARIN Resource Families          925\n",
       "SSK Zotero Resources              352\n",
       "Humanities Data                   301\n",
       "NA                                170\n",
       "The Programming Historian         169\n",
       "DARIAH-CAMPUS                      80\n",
       "CESSDA                             62\n",
       "Language Resource Switchboard      50\n",
       "Name: source.label, dtype: int64"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "utils=hel.Util()\n",
    "#get the dataframe\n",
    "df_items_by_sources=utils.getAllItemsBySources()\n",
    "#prints the content of the dataframe\n",
    "#print('{:<30}N. Items'.format(\"Source Label\"), end='\\n')\n",
    "# the function head(n) shows the first n rows of a dataframe\n",
    "df_items_by_sources.head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The following cell uses the function *plot* of the dataframe to draw a bar chart. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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Akt4JHAXMBPa3feHoDiMiIiIiIqI9Rll99GRA4+z67Vye81ngs+O0/3Zuz4uIiIiIiIj500j10YiIiIiIiJgakhRGRERERER0WJLCiIiIiIiIDktSGBERERER0WFJCiMiIiIiIjosSWFERERERESHJSmMiIiIiIjosCSFERERERERHZakMCIiIiIiosOSFEZERERERHRYksKIiIiIiIgOS1IYERERERHRYUkKIyIiIiIiOixJYURERERERIclKYyIiIiIiOiwJIUREREREREdlqQwIiIiIiKiw5IURkREREREdFiSwoiIiIiIiA5LUhgREREREdFhSQojIiIiIiI6LElhREREREREhyUpjIiIiIiI6LAkhRERERERER2WpDAiIiIiIqLDkhRGRERERER0WJLCiIiIiIiIDktSGBERERER0WFJCiMiIiIiIjosSWFERERERESHJSmMiIiIiIjosCSFERERERERHZakMCIiIiIiosOSFEZERERERHRYksKIiIiIiIgOS1IYERERERHRYUkKIyIiIiIiOixJYURERERERIclKYyIiIiIiOiwJIUREREREREdlqQwIiIiIiKiw5IURkREREREdFiSwoiIiIiIiA5LUhgREREREdFhSQojIiIiIiI6LElhREREREREh40sKZS0iqTjJP1F0oWS3lPbHyHpaEmX1K/L1nZJ+qakSyWdJ2mDvu+1c338JZJ2HtUxREREREREtM0oewrvA95vex1gU+AdktYBdgeOtb0WcGzdBngBsFa97QrsDSWJBPYANgE2BvboJZIRERERERExMSNLCm1fa/usev824K/ASsBLgAPqww4AXlrvvwT4kYtTgWUkrQA8Dzja9o22bwKOBp4/quOIiIiIiIhok0bmFEpaFVgfOA1Y3va1dde/gOXr/ZWAq/qednVtm1N7RERERERETNBCo35BSUsAhwLvtX2rpAf22bYkD+h1dqUMO2XFFVfk4osvntT32XqlWZOOYc2lDEzu+ZONt0k33HBD0yGMVI63vbp0rJDjbbscb3t16Vghx9t2Od5mjTQplLQwJSE80PYvavN1klawfW0dHnp9bb8GWKXv6SvXtmuALce0Hz/2tWzvC+wLsOGGG3rttdeeVMxH73/JpJ5XzOLoaybXGbvfJONt2mR/ztNVjre9unSskONtuxxve3XpWCHH23Y53uaMsvqogO8Df7X91b5dhwO9CqI7A7/qa9+pViHdFLilDjM9CniupGVrgZnn1raIiIiIiIiYoFH2FD4deB1wvqRzattHgM8DB0t6E3Al8Oq677fAC4FLgf8CbwCwfaOkTwOn18d9yvaNIzmCiIiIiIiIlhlZUmj7ZEBz2P3scR5v4B1z+F77A/sPLrqIiIiIiIhuaqT6aEREREREREwNSQojIiIiIiI6LElhREREREREhyUpjIiIiIiI6LAkhRERERERER2WpDAiIiIiIqLDkhRGRERERER0WJLCiIiIiIiIDktSGBERERER0WFJCiMiIiIiIjosSWFERERERESHJSmMiIiIiIjosCSFERERERERHZakMCIiIiIiosOSFEZERERERHRYksKIiIiIiIgOS1IYERERERHRYUkKIyIiIiIiOixJYURERERERIclKYyIiIiIiOiwJIUREREREREdlqQwIiIiIiKiw5IURkREREREdFiSwoiIiIiIiA5LUhgREREREdFhSQojIiIiIiI6LElhREREREREhyUpjIiIiIiI6LAkhRERERERER2WpDAiIiIiIqLDkhRGRERERER0WJLCiIiIiIiIDktSGBERERER0WFJCiMiIiIiIjosSWFERERERESHJSmMiIiIiIjosCSFERERERERHTahpFDScpKW69t+sqTPSNph8KFFRERERETEsE20p/Bg4MUAkh4FnAi8DPiupPcPOLaIiIiIiIgYsokmhU8BTq33XwlcavuJwE7AWwYZWERERERERAzfRJPChwO31/vPAQ6v988CVhlUUBERERERETEaE00KLwFeLmkV4LnA72v78sDNA4wrIiIiIiIiRmCiSeGewBeAK4BTbZ9W258HnD3AuCIiIiIiImIEFprIg23/QtJjgBWBc/t2HQMcOsjAIiIiIiIiYvgmlBQC2L4OuG5M22lzeHhERERERERMYRNOCiW9DNgKeDRjhp/afvWA4oqIiIiIiIgRmOji9V8BfgY8uTbdP+YWERERERER08hEC83sDLzK9la2t7e9Q/9tbk+UtL+k6yVd0Nf2SUnXSDqn3l7Yt+/Dki6VdJGk5/W1P7+2XSpp9wnGHxEREREREX0mmhT+F/jbJF/rh8Dzx2n/mu316u23AJLWAbYHnlif8x1JMyXNBL4NvABYB9ihPjYiIiIiIiImYaJJ4eeBD0qaTIGaE4Eb5/PhLwEOsn237cuBS4GN6+1S25fZvgc4qD42IiIiIiIiJmGiyd1+wIuBayRdDNzbv9P2syYRwzsl7QScAbzf9k3ASsCpfY+5urYBXDWmfZPxvqmkXYFdAVZccUUuvvjiSYQGW680a1LPA1hzKQOTe/5k423SDTfc0HQII5Xjba8uHSvkeNsux9teXTpWyPG2XY63WRNNCr8LbA78jrIshRfw9fcGPl2/z6eBrwBvXMDvCYDtfYF9ATbccEOvvfbak/o+R+9/yQJEMYujr5loZ2yx3yTjbdpkf87TVY63vbp0rJDjbbscb3t16Vghx9t2Od7mTDQp3A54me2jB/Hidc1DACTtB/ymbl4DrNL30JVrG3Npj4iIiIiIiAmaaDfWvxlgEiZphb7NlwG9yqSHA9tLepik1YC1gD8DpwNrSVpN0iKUYjSHDyqeiIiIiIiIrploT+EewKckvd727RN5oqSfAlsCj5J0df1eW0pajzJ89ArgLQC2L5R0MPAX4D7gHbbvr9/nncBRwExgf9sXTvAYIiIiIiIioppoUvgBYFXgOkn/4KGFZp4ypyfOYR3D78/l8Z8FPjtO+2+B385nvBERERERETEXE00Kfz6UKCIiIiIiIqIRE0oKbe85rEAiIiIiIiJi9Ca8XoKkRSW9UtKHJC1T29aQ9IiBRxcRERERERFDNaGeQklrAscASwDLAIcANwNvq9u7DDS6iIiIiIiIGKqJ9hR+Hfg9sDxwZ1/74cBWA4opIiIiIiIiRmSihWaeBmxq+35J/e3/AFYcWFQRERERERExEhOeUwgsPE7bY4BbFjCWiIiIiIiIGLGJJoW/B3br27akpYA9gSMGFlVERERERESMxESHj+4GHCfpImBR4GfAmsB1wKsHHFtEREREREQM2UTXKfynpPWAHYANKD2N+wIH2r5zbs+NiIiIiIiIqWeiS1JsAfzR9v7A/n3tC0nawvaJgw4wIiIiIiIihmeicwqPA8ZbpH7pui8iIiIiIiKmkYkmhQI8TvsjgTsWPJyIiIiIiIgYpfkaPirp8HrXwI8l3d23eybwJOCPA44tIiIiIiIihmx+5xT+p34VcBPQX1TmHuBkYL8BxhUREREREREjMF9Joe03AEi6AviS7f8OM6iIiIiIiIgYjYkOHwU4SNK4j7O97SCCiuasuvsRk37u1ivN4uj9L5nUc6/4/DaTft2IiIiIiJi8iQ4fjYiIiIiIiBaZ0PDRiIiIiIiIaJeJLkkRERERERERLZKkMCIiIiIiosOSFEZERERERHRYksKIiIiIiIgOS1IYERERERHRYUkKIyIiIiIiOixJYURERERERIclKYyIiIiIiOiwJIUREREREREdlqQwIiIiIiKiw5IURkREREREdFiSwoiIiIiIiA5LUhgREREREdFhSQojIiIiIiI6LElhREREREREhyUpjIiIiIiI6LAkhRERERERER2WpDAiIiIiIqLDkhRGRERERER0WJLCiIiIiIiIDktSGBERERER0WFJCiMiIiIiIjosSWFERERERESHJSmMiIiIiIjosCSFERERERERHZakMCIiIiIiosOSFEZERERERHTYyJJCSftLul7SBX1tj5B0tKRL6tdla7skfVPSpZLOk7RB33N2ro+/RNLOo4o/IiIiIiKijUbZU/hD4Plj2nYHjrW9FnBs3QZ4AbBWve0K7A0liQT2ADYBNgb26CWSERERERERMXEjSwptnwjcOKb5JcAB9f4BwEv72n/k4lRgGUkrAM8DjrZ9o+2bgKN5aKIZERERERER86npOYXL27623v8XsHy9vxJwVd/jrq5tc2qPiIiIiIiISVio6QB6bFuSB/X9JO1KGXrKiiuuyMUXXzyp77P1SrMmHcOaSxmY3PMnG++C6trxLogbbrih6RBGqkvH26VjhRxv2+V426tLxwo53rbL8Tar6aTwOkkr2L62Dg+9vrZfA6zS97iVa9s1wJZj2o8f7xvb3hfYF2DDDTf02muvPakAj97/kkk9r5jF0ddMrjN2v0nGu6C6drwLarK/V9NVl463S8cKOd62y/G2V5eOFXK8bZfjbU7Tw0cPB3oVRHcGftXXvlOtQropcEsdZnoU8FxJy9YCM8+tbRERERERETEJI+splPRTSi/foyRdTaki+nngYElvAq4EXl0f/lvghcClwH+BNwDYvlHSp4HT6+M+ZXts8ZqIiIiIiIiYTyNLCm3vMIddzx7nsQbeMYfvsz+w/wBDi4iIiIiI6Kymh49GREREREREg5IURkREREREdFiSwoiIiIiIiA5rekmKiEatuvsRk37u1ivNmvQSHld8fptJv25ERERExCClpzAiIiIiIqLDkhRGRERERER0WJLCiIiIiIiIDktSGBERERER0WFJCiMiIiIiIjosSWFERERERESHJSmMiIiIiIjosCSFERERERERHZakMCIiIiIiosOSFEZERERERHRYksKIiIiIiIgOS1IYERERERHRYUkKIyIiIiIiOixJYURERERERIclKYyIiIiIiOiwJIUREREREREdlqQwIiIiIiKiw5IURkREREREdFiSwoiIiIiIiA5LUhgREREREdFhSQojIiIiIiI6LElhREREREREhyUpjIiIiIiI6LAkhRERERERER2WpDAiIiIiIqLDkhRGRERERER0WJLCiIiIiIiIDktSGBERERER0WFJCiMiIiIiIjosSWFERERERESHJSmMiIiIiIjosCSFERERERERHZakMCIiIiIiosOSFEZERERERHRYksKIiIiIiIgOS1IYERERERHRYUkKIyIiIiIiOixJYURERERERIclKYyIiIiIiOiwJIUREREREREdlqQwIiIiIiKiw5IURkREREREdNiUSAolXSHpfEnnSDqjtj1C0tGSLqlfl63tkvRNSZdKOk/SBs1GHxERERERMX1NiaSw2sr2erY3rNu7A8faXgs4tm4DvABYq952BfYeeaQREREREREtMZWSwrFeAhxQ7x8AvLSv/UcuTgWWkbRCA/FFRERERERMe1MlKTTwe0lnStq1ti1v+9p6/1/A8vX+SsBVfc+9urZFRERERETEBC3UdADV5ravkfRo4GhJf+vfaduSPJFvWJPLXQFWXHFFLr744kkFtvVKsyb1PIA1lzIwuedPNt4FleOdf9PxeBfEDTfc0HQII9OlY4Ucb9vleNurS8cKOd62y/E2a0okhbavqV+vl3QYsDFwnaQVbF9bh4deXx9+DbBK39NXrm1jv+e+wL4AG264oddee+1JxXb0/pdM6nnFLI6+ZnKdsftNMt4FleOdiOl3vAtqsn9H01GXjhVyvG2X422vLh0r5HjbLsfbnMaHj0paXNKSvfvAc4ELgMOBnevDdgZ+Ve8fDuxUq5BuCtzSN8w0IiIiIiIiJmAq9BQuDxwmCUo8P7H9O0mnAwdLehNwJfDq+vjfAi8ELgX+C7xh9CFHRERERES0Q+NJoe3LgHXHaf8P8Oxx2g28YwShRUREREREtF7jw0cjIiIiIiKiOUkKIyIiIiIiOixJYURERERERIclKYyIiIiIiOiwJIUREREREREdlqQwIiIiIiKiw5IURkREREREdFiSwoiIiIiIiA5LUhgREREREdFhSQojIiIiIiI6LElhREREREREhy3UdAARMTqr7n7EpJ+79UqzOHr/Syb13Cs+v82kXzciIiIihis9hRERERERER2WpDAiIiIiIqLDkhRGRERERER0WJLCiIiIiIiIDktSGBERERER0WGpPhoRrTXZaquptBoRERFdkp7CiIiIiIiIDktSGBERERER0WFJCiMiIiIiIjosSWFERERERESHJSmMiIiIiIjosCSFERERERERHZakMCIiIiIiosOSFEZERERERHRYksKIiIiIiIgOS1IYERERERHRYUkKIyIiIiIiOixJYURERERERIclKYyIiIiIiOiwhZoOICIiFtyqux8x6eduvdIsjt7/kkk994rPbzPp110QXTveiIiIYUpPYURERERERIclKYyIiIiIiOiwJIUREREREREdlqQwIiIiIiKiw5IURkREREREdFiSwoiIiIiIiA5LUhgREREREdFhSQojIiIiIiI6LElhREREREREhy3UdAARERExd6vufsSkn7v1SrM4ev9LJvXcKz6/zaRfNyIipo/0FEZERERERHRYegojIiJiSknPaETEaKWnMCIiIiIiosPSUxgRERHRkPSKRsRUMG17CiU9X9JFki6VtHvT8URERERERExH07KnUNJM4NvA1sDVwOmSDrf9l2Yji4iIiIg56VrPaNeON6avaZkUAhsDl9q+DEDSQcBLgCSFEREREREN6FoS3Kbjna7DR1cCrurbvrq2RURERERExATIdtMxTJikVwLPt71L3X4dsIntd/Y9Zldg17r5OOCikQcKjwJuaOB1m5LjbbcuHW+XjhVyvG2X422vLh0r5HjbLsc7fI+1vdx4O6br8NFrgFX6tleubQ+wvS+w7yiDGkvSGbY3bDKGUcrxtluXjrdLxwo53rbL8bZXl44Vcrxtl+Nt1nQdPno6sJak1SQtAmwPHN5wTBEREREREdPOtOwptH2fpHcCRwEzgf1tX9hwWBEREREREdPOtEwKAWz/Fvht03HMQ6PDVxuQ4223Lh1vl44Vcrxtl+Ntry4dK+R42y7H26BpWWgmIiIiIiIiBmO6zimMiIiIiIiIAUhSGBERERER0WHTdk7hVCdpWWAV2+c1HcsoSXqM7X80HUcsOEmLA3faniVpbeDxwJG27204tKGR9Ghg0d52fpfbQ9JMYHn6Pvfy/sZ0IekRc9tv+8ZRxTJqkjYH1rL9A0nLAUvYvrzpuIZB0qtsHzKvtjaR9HDgMbabWE98JCRtMLf9ts8aVSxzkzmFAyTpeGBbyknHmcD1wCm2d2syrmGQtBmwEnCi7eslPQXYHXiG7VXm/uzpSdKrgN/Zvk3Sx4ANgM9MlT/mQZN0JvAMYFngFMpSMPfYfm2jgQ2BpG2BrwArUv5uHwv81fYTGw1sxCQtb/u6puMYNEnvAvYArgNm1WbbfkpzUcUwSFoDeA2wfZv+fiVdDhgQ8Bjgpnp/GeAftldrLrrhkbQHsCHwONtrS1oROMT20xsObSgknWV7g3m1tYWkFwNfBhaxvZqk9YBP2d622cgGS9Jxc9lt288aWTBzkZ7CwVra9q2SdgF+ZHsPSa3rKZT0JeBFwDnAhyQdBewCfA54Y4OhDdvHbR9Sr1o+B/gSsDewSbNhDY1s/1fSm4Dv2P6ipHOaDmpIPg1sChxje31JWwE7NhzTSEhaBngF5UT6CZTEuG3eQzmp/E/TgQybpI2Aq2z/q27vRHl/rwQ+2cYepZoobEf5HX4y5bNo+0aDGrBe0idpP+CwWoEdSS8AXtpgaMP2MmB94CwA2/+UtGSzIQ1efR9fCKwk6Zt9u5YC7msmqpH4JLAxcDyA7XMkte4Ch+2tmo5hfmRO4WAtJGkF4NXAb5oOZoi2Ada3vQPwXOC9wKa2v2H7rkYjG67769dtgH1tHwEs0mA8w6baI/xa4IjaNrPBeIbp3powzJA0w/ZxlKvTrSTp4ZK2l3Q4cD6ll/TTwMrNRjY0VwG3NB3EiOwD3AMgaQvg88CPKMc/pcqfLyhJu9Yr8McDjwTeBFxre0/b5zca3PBs2ksIAWwfCTytwXiG7R6XIW2GB6Y1tNE/gTOAuygjzXq3w4HnNRjXsN1re+z/5tYOYZS0sKR3S/p5vb1T0sJNx9WTnsLB+hRwFHCy7dMlrQ5c0nBMw3BXL/mzfZOkS2xf0XBMo3CNpH2ArYEvSHoY7b6w8l7gw5Sr0hfW3+e5DYGYzm6WtARwInCgpOuBOxqOaSgk/YQyLPj3wF7AH4BLbR/fZFxDdhlwvKQjgLt7jba/2lxIQzOzrzdwO8oFrEOBQ1vY0/8t4E/Aa2yfASCptSeU1T/r9IUf1+3XUhKKtjq4fu4uI+nNlNFI+zUc08DZPhc4V9KBttvcMzjWhZJeA8yUtBbwbuCPDcc0THsDCwPfqduvq227NBZRn8wpjAmTdDPl5BnKnIZn9G3TtrHgPZIWA54PnG/7ktor/GTbv284tKGStJjt/zYdxzD1iupQkvzXAksDP27pULtzKMf5I+Ag21dLusz26s1GNjx1XtJD2N5z1LEMm6QLgPVs3yfpb8Cutk/s7bP9pGYjHBxJjwReBewA/D/gYOD1bZ3XDg8UnNkD2ILSo3IiZQ5W6/5X9UjamjIqScBRto9uOKSBk3Sw7VdLOp9xesraOv+5nld9lL73F/h0W0edSTrX9rrzamtKksIBqlWx3gysyoMr3LVqnp2kZ85tv+0TRhXLqHWsCtpmwPcpx/gYSesCb7H99oZDGzhJX7D9oXm1tYWkx1NOpLcDbgAeBzypjUVmukbSRylzk26gFCTZwLYlrQkc0OICHatQpm7sACxOGeHwkWajGqxaQfdHbSz21XWSVrB9raTHjrN7RlvPM7pG0lnAq2z/vW6vDvx8qhQSSlI4QJL+CJxEGQfem39GHbrTSpIWAdaumxe1fLmCrlVBOw14JXC47fVrW6t6GnrmUPHtvLZene0n6amUAh2vAq623br5SfUCzgeBJ/LgJUemRMW3QZO0KbAC8Hvbd9S2tSkXeFpZLblfPdbtbX+q6VgGTdLJwLNs39N0LKMg6TZm95wtQhl6d4ftpZqLavAk7Wz7gHHaFwL+r9ZwaJ06J3i8ntG2/m9+NvADypQGUSqdv6HWMWhc5hQO1mJt7VkYj6QtgQOAKyi/3KvUf2wnzuVp01knqqD1s32VpP6m++f02OlI0tuAtwOrj6kUvCRlGY7Ws30mcKak/6EMBW+jA4GfUaomvxXYGfh3oxENSR1eeHG9PaxeuLvZ9sXNRjYckh4H7EpZRxXgr5R5lK1LCKvLgFNqkagH5j23dH4sth/4jFX5MHoJpVJ027xH0sNsP1AMqk5rOIxSKKut/qfv/qKUSsmtnVNp+9g6d/Jxteki23fP7TmjlKRwsH4j6YX9lcFa7ivAc10XHK1XZ38KPLXRqIbnnjoMq+1V0HqukvQ0wLU61nsoJ1xt8hPgSEoJ+9372m9r6xwdSZ+Yx0PaeFHnkba/L+k9dXj7CZJObzqoITmT2Vfee1d0lpB0LrBLm4qC1SHuv6BUXN2XcrzrU4oKvdz2qU3GNyR/r7cZlItXnVGrkP6yjtrZfV6Pn2aeA/xO0qK2v1lHN/wWONZ22471AfWiZL9TJP25kWBGoJ5LvYUyJxjK/6p9psoouwwfHaA6zGFxSjnw3hvstg1z6BlveF2bh9zVnpS1KNVHe2sy/sT2Xo0GNiSSHgV8g/JhJUq1yve4xWu9SXo0Dx5e+I8GwxkKSe8fp3lxSjn/R9peYsQhDZ2kU21vqrKm6jcp1Rp/bnuNhkMbGUkvpxSdeX7TsQyKpCOBL4ytnFvnve9u+wWNBBYDU39ve2ZQpnA80/ZmDYU0NJKWolykPInSI/pd299oNqrhqiMbemZQOhW+aftxc3jKtCbpe5Qh0L2hwq8D7red6qMxvUnaH5jFg0tjz2xbYZ1+XaiC1kWSXgx8lbJw+/WUcf5/tf3ERgMbsjr8+T2UhPBg4Cu2r282qsGT9CLKidYqlGU4lgL2tH14o4GN2HhzZ6czSRfbXnsO+y5q44llB+fH/qBv8z7KdJX92vZ/qi/5XZLyWXQscFBvv+1fNBHXsEm6nDKyQZT393JKNd2TGw1sSKZ69dEMHx0wSdvS1y1su82L2L8NeAdlXRkoJ13fmfPDp7+aBHYiEZR0AKVn8Oa6vSwlaWhj0v8ZyjyVY2yvL2krYMeGYxqaenV2N8qFnAMoFSpvajaq4en7P3wLsFWTsTRFZR3Otq2rettc9rVynVE6ND8WwPYbmo5hRF7cd//wMW2mDJNuHdurNR3DiN0vaY0x1UenTK2GJIUDJOnzwEaUf9pQJg4/3faHGwxr4OoQu48AawLnU9aFurXZqIZH0sm2Nx9TBQ3Kla3WDg8GntJLCAFs3yRp/QbjGaZ7bf9H0gxJM2wfJ+nrTQc1DJK+BLycMgfrybZvbzikoZH0QdtflLQX41e4e/c4T5vWJO02TvOywLaUxd7bZBVJ3xynXcBKow5mRLo0P5Y5vL+3AGfY/tWo4xmWDiW/DzJmeHDPLZT1oFvVG1x9ADhOUn/10SlzoT1J4WC9kLJo8Cx4oKflbKBVSSFl0eszKcOwXkSZd9baf2i2N69fOzWpH5ghadleD1LtXWrr/4yba0/KScCBkq6nvT0N7wfuBj4GfLSvumwbL3L0CiOd0WgUozX2/5SBfwE72j6/gXiG6QNz2dfW97xXr+BaSdtQ5sc+Yi6Pn+4WpVSWPaRuv4IyxHBdSVvZfm9TgcVAvAnYDOgtybAl5fxyNUmfsv1/TQU2JCdTalM8UH20wVgeInMKB6iWtN+yV7WwnkQf37bCK2PHP7dtnspYYyZCP0SLq1TuROkR7n0Yvwr4bAv/Sfcqyd5JGV73WmBp4MA2F9XpCpUFv79g+3/m+eCWqPPOHgtc2t/b3wV1mPvNbunJTdfmx0o6FXi67fvr9kKU49+c0pu0TpPxxYKpxb92sn1d3V6e0vGwA3CiW7Yu8njny1PpHLqtV/2b8jng7LoYpyhzC1tZSrh+8Pa6GGb2b7cwSeqVeNc4+wysPtpwhk/SDOBSyjDDXgGDl9v+S3NRDdXCQO/k4pe2b2kymBgc2/dLenrTcYyKpDdRPov+TrnavmuLE4ZPAAfb/pukh1EqN64H3CfpNbaPaTTAIejg/NhlgSUoxwulUvIj6t/1lFnfLSZtlV5CWF1f226UNCWWaRgESf+PMqT94XUaTu98cilgscYCGyNJ4QDZ/qmk4ynzCgE+ZPtfDYY0LEtTEqX+JOms+rV1SVIHJ0Jje5akb9teH2hrIkg9kdwHeCllSJKAx0o6DHir7XsaDC8G5xyVxb4P4cELfrexeMP7gCfa/nctYnAgswtXtM12wKfr/Z0pf7/LAWtTCii1LimUtDKlh3BzyuftSZSCYFc3GtjwfJHy93s8sy+2/28d3dGa93cOc+se0NL/VVDW6fsNs0ckvbK2LQ7c3FhUg/c84PXAypQ1vnvnz7dSRmRNCRk+OgCSHl+vVI7b/Wv7rPHaY3ro6vsr6cvAn4BftHgo1qeANSgJ4G21bUng28CVtj/eZHwxGGPK2ve4jZV0xw5FmkpDkwZN0tn1whWSDgV+b3ufut3K45Z0NPAToDeMf0fgtba3bi6q4ZK0ArBx3Tzd9j+bjGcY5vA/qqeV/6sAVCa1v5xykQPgFODQFp9zvML2oU3HMSdJCgdA0r62d63DRsdyW9cP6idpDeA1wPZtW9utq+9vrba6OGXtoLtoYSESSRcAG9v+75j2JYBT2zafIdqvFkk6qK9pex683llrKq7W+Wa7ANdRCjY81fbldd/fbD++yfiGQdI5ttebV1ubjFnq6wTbv24ynhisOo9wY0rP959bWnV0Wsjw0QGwvWu9+wLbd/Xvk7ToOE9pBUkrUobvvAZ4MmUey/aNBjUEvffXdhfmbzygI9VWZ41NCAFs3y4pV8xaom/IXW9uYZuH3I2tyHlmI1GMxnuBn1OGjH6tLyF8IaXydxv9R9KOwE/r9g5AawtijbPU17slbWZ7ygy5G7RaVfaJlMqrANj+VHMRDY+kVwNfAo6nXHjeS9IHbP+80cA6Kj2FAzTVqwoNiqRdKR9EKwEH19uv2j73rlYx3AZYlb4LKra/2lRMwyRpi/HabZ846liGRdK5lBLY4xUROq6/ym5MX10cchftJOmxlAscm9WmU4B32/5Hc1ENT63q3r/U10zg7LZVde+R9F1K4ZGtgO9R5tj92fabGg1sSOpn8Na93sFaOfmYfPY2Iz2FAzBdqgoN0Lcoc81eY/sMgI70qvyaMozyfGBWw7GMQn+Pw6KU4R1nMrsaaRuMVzSppwu/012xnO3+OTs/lPTepoIZplpQZ45sbzuqWIZN0ouB82xfWbc/QVnH7kpKT/DlTcY3DPVYW/MezqdlgF5V86UbjGMUnmb7KZLOs72npK9Qquq21Ywxw0X/Q1kaqrUkPY2Hdi78qLGA+iQpHIz+qkL9vUa3MYWqCg3QSpQP3q/UhPhgSkn/tlu5rVcnx2P7xf3bklYBvt5MNMNhe9WmY4iR6NKQu82AqyjHehrjX/Boi88Cm8ID6/ftSHlv1we+S/lsbpVaUfYblOM25QLt+2xf1mhgw9OZpb6qO+vX/9YpOv8BVmgwnmH7XV2rsPe/eTvgtw3GM1SS/o9S3O4c4P7abMrajI3L8NEBmupVhQalf0hsnauzHeWDeHHgsLaO9Zf0BeBY279vOpYm1CphF2ax4Jhuxgy5M/BH4F22r2o0sCGow+u2pvxPfgpwBPBT2xc2GtgQSDq3N8xM0v7ARba/ULdbN3UDHiiu821mn0RvT/ld3qS5qIarVh/tLfX155Yu9QWApI9T/lc9m/I+G9jP9icaDWyIJL2Cvvnetg9rMp5hkvRXYJ2pWl01SeGAdWGCcH8Z8DHtawE7tO14eyS9DPgxZWjDvbSwGmc/SXsxewjlDMqi0FfY3rGxoCImQdLTbZ8yr7a2qetw7kAp5LCn7W81HNJA1flmTwP+S1ln9BV9Uxr+0sYLWHVY4VPGtD2QHLfFnJaA6mnrUlD96t/vorZvaTqWGAxJh1DmAF/bdCzjyfDRAZrTBOFGgxqO5STtNod9t480ktH6KqWn4fypepVnwM7ou38fpbeh1SfR0Vp7AWNPMsdra4V6MrkNJSFcFfgm0Mar71+nDMO6FfhrX0K4PjAlT7omS9Ij6t0jJe1OWWbEtHe43Vfmss+0a277A+qFjoOAn9n+O3B3wyENRV3yarzzqFZfbAceBfxF0p/pe2+nylzv9BQOUO8KXt/XJYAjbT+j6dgGSdK1wN7MoThHi3sKTwS27FVB6wJJiwBr182LbN/bZDzDUtfZvNr23ZK2pAy7+5Htm5uMKxaMpM0oPUnvBb7Wt2sp4GVt610BkPQj4EmUROEg2xc0HNJQSVoJeDRwbl+FyhWAhdtUkVPS5ZST6Dl97q4+4pBiCOpQ9+3qbRbwM+DgNv0ud5mkZ47XbvuEUccyniSFAyTpNNub1DH/L6dMEL7Q9poNhzZQbZ2rMS+SfgisTqkE1n+Fp61LUmwJHABcQTkRWQXYuU1LUvRIOgfYkNKr8lvgV8ATbb+wwbBiAdUP4C2Bt1IKj/TcBvza9iVNxDVMkmYBd9TN/g/41l2Bl7Sj7R/X+w8aDizpnW0bLttVkp4ErMODp+VMicIcw1Sn5HycsnzOzKbjGSZJj+bB729rk2BJy/PgObLXz+3xo5Tho4P1G0nLUOZvnEX5QP5eoxENR5ur2c3N5fW2SL213VeA59q+CEDS2pTiBk9tNKrhmGX7vjpvdC/be0lq6+LXnVGvvp4g6Yd9yxbMAJawfWuz0Q2H7VaXcx9jN8o8b3jocOA3UpZPap2pXNJ+0CTtQbmwsw7lgt0LgJOZItUah2FMb+H9wAebjWh4JG1LOddYEbgeeCzwV0ptjtaR9GpKjnA85Vx6L0kfsP3zRgOrkhQOkO1P17uHSvoN7Z0g/OymA2iC7T2bjmHEFu4lhAC2L5bU1qVH7pW0A7Az0FuKo63H2kWfk/RWygnW6cBSkr5h+0sNxzUSkhYHXkYpBLZN0/EMkOZwf7ztVpjqJe2H4JXAupQF699Qe1l+PI/nTFuSTqN89hwCvKrFS430fJqyvMoxtteXtBVlaZm2+iiwUa93UNJywDFAksK2kfQO4EDbN9e5SYtJervt7zQd2yDZvnHej2qf+sf7QR5aXbaVE96BMyR9j9kfwDvy4OIzbfIGyhDDz9q+XNJqwP81HFMMzjq2b5X0Wsrw792BMylXbFupzgfeBngNZb2+Q3nwENo28Bzuj7fdFhsyhUvaD8GdtmdJuk/SUpTepFWaDmqIduq/GNsB99r+j6QZkmbYPk7S15sOaohmjBku+h9KdfcpIUnhYL3Z9rd7G7ZvkvRmoFVJYYcdSJn0/SJKArEz8O9GIxqutwHvAN5dt0+ipb/Ltv8i6UPAY+r25cAXmo0qBmjh2sv9UuBbtu+V1MqTaknPpVQdfS5wHKUHaSPbb2g0sOF4fK3WKGCNep+63dbCKxcA/4+WVVedizPqtJz9KBdybgf+1GhEQ9A3P3aburTZg7S1dgFwcy3KeCJwoKTrmT0nuo1+J+koZq8zOqWqB6fQzABJOh94Su8KXl1E+DzbrRwb3TWSzrT91P51oiSdbnujeT13uqvl0Fe2fd48HzwNSXox8GVgEdurSVoP+NRUKRMdC0bSu4EPAedSes8eA/y4bZWh4YFCMycBr68XN5B0WRurU9ZCHMsDV43ZtQrwL9uXjj6q4ZD0a0rv55KUNWOnZEn7YZK0KrBUGz+HJL3F9j51DuVDtHX6Sh3afielt+y1wNKU/82tHZEm6RXA0+vmSbanzHJBSQoHSNKXKJNk96lNbwGusv3+5qKKQZF0qu1N61WebwL/BH5ue42GQxsKSccD21JGFJxJGbbzR9vvazKuYZB0JmXdq+Ntr1/bLrD9pGYji2GRtJDt+5qOY9DqBY3tgVcBl1HWPPuE7cc2Gdcw1Ln7H7Z9/pj2JwP/a/vF4z9z+plTKfueqVLSftAkHWv72fNqawtJy9lu8wikB5H0BdsfmldbjEaGjw7WhyiJ4Nvq9tG0s/poV31G0tLA+ymV7pYCWpcg9Vm6zsPahbJm3x59w7Pa5l7bt0gPqk3RmfUo26o3JEvSbnN4SOuGZNk+h1KEZPdapXIHyvDZI4HDbO/bYHiDtvzYhBDA9vm1V6k1eklfne98re276vbDKb2lrSJpUWAx4FGSlmV24aClgJUaC2z4TpF0BWWqyi9s39RwPMO2NeXcud8Lxmmb1iSdbHtzSbcxhZcKSlI4QHXh3L3rLVqilrN/ve3fSNrZ9gHAVk3HNQIL1UWgX02pmNVmF0p6DTCzDkl7N/DHhmOKBbd4/bpko1E0xPYfgT9Keg+lavT2QJuSwmXmsu/howpixA4Bnta3fX9ta9s0hrcA76UsVXAms5PCW2npUiMAtteWtDHlb/Wjkv4CHNRbj7MtJL0NeDuw+piLzUsCp4z/rOnL9ub165T+LMrw0QGQdLDtV9c5hQ/5gfbmn8X0JOnsviGFZ9neYF7PaQNJr6IsnHuK7bdJWh34ku1XNBzawElajJL4Ppdy8nEU8One1fiI6ULS84Alx657JemVwC22j24mssGT9FPgD7b3G9O+C7C17e2aiWx4JJ1je70xbefaXrehkIZK0rts79V0HE2Q9CjKaIbWLV5fR10tC3yOUg2657aWzyf8P9uvm1dbU5IUDoCkFWxfWxccfYjeoskxPfUngl1KCiOmO0nfnNt+2++e2/7pSNIpwEvHzkuqJ5i/tr1ZM5ENXl2z7jDgHkpvEpQlGxYBXmb7X03FNiySjgb2sn143X4J8O62zrEDkPQkyuL1/UtBtXJdxrrsxssoPYVrUH6/D7Z95lyfOM1JejQPfn//0WA4QzP2HFLSQpSClOs0GNYDMnx0AGxfW78m+WunlevJpfruP6CNJ5YAktamDIVe3vaTJD0F2Nb2ZxoObWAkfd32e/sq+z1IFyr6tVz/idSewLiV/VrmYeMVqrB9Q6301xq2rwOeprLgda8o1BG2/9BgWMP2Vkrp/t4QyquBKdHLMAy1GueWlKTwt5T5ZidTllppo3OBX1KqX7du6Y2xauXvr1KGCV9PKdb4V8p60K0h6cPAR4CHS7q110y5oDVlhvSnp3AA5jRxtPd1qkwgjcmRtPPc9tc5hq0j6QTgA8A+ba3IKempts+cU2W/tlb066L+YeBtJuliyuLm941pXxj4i+21moksBkHSarYvr2u7Yfv2XlvTsQ1DnZazLnC27XVr7/CPbW/dcGgDV5cx+2KXKtZLOpdS+fsY2+vXCzw72n5Tw6ENhaTP2f5w03HMSXoKB2CqTxyNBdPWpG8+LGb7z2MqcraqhH/fkJz1bH+jf18tzpGksD26cgX0F8B+kt5p+w6AmkB8o+6L6e1QYAPbt/e1/Rx4akPxDNudtmdJuq8Orbyesg5l69i+v1YM7pJ7bf9H0gxJM2wfJ+nrTQc1REdK2mJso+0TmwhmrCSFAyZpA2BzygnIybbPbjikiMm6QdIa1JPpWqji2mZDGpqdKSfN/V4/TlvEVPcx4DPAlZJ6UxoeA3yfUjgqpiFJj6cMqVta0sv7di1F31ysFjpD0jLAfpTh4LcDbR5WeY6kwykVZe/oNdpu6wWdm+tFqxMpw6Kvp++4W+gDffcXBTam/F4/q5lwHizDRwdI0icoCwb3/nhfChzSpjlY0R212ui+lPLnNwGXU6qgtWburKQdgNdQLuSc1LdrSWBWm4s3dMGYof2LAf/t7aLlQ/vr+nVr1s1Lbd/ZZDyxYGpBmZcC2wKH9+26jbJkQeuX0KlrTy5lu63r5SLpB+M02/YbRx7MCNR5zncCM4DXAksDB9r+T6OBjYikVYCvT5Wq7kkKB0jSRcC6YxaVPcf245qNLGLy6j/tGZQT6u1tH9hwSANTKwavxjhlsSkVwVo1XDa6SdK+tndtOo5YcJI260gBks4srdJFktakFLE7ZUz75sC1tv/eTGSjpTI/58JUH22nf1K6g3trmz0MuKa5cGKQulCNEx4oif0OYCXgV8Axdfv9wHlAa5LC2ut5JdCaMv0R49iw6QBiwUj6oO0vAq+pIxwepIVVsD9B6Rkd63jg10Ark8LaUzheJey29RR+HRiv4Motdd+LRxnMqEjai9nv7wxgPeCsxgIaI0nhAPS9ybcAF9Z1hAxsDfy5ydhioPajVuMEsH2epJ9Q5u+0yf9Rhov+CXgzZVF3Udb9OqfBuAZO0sm2N59TBeE2Dy+MTrm+6QBigf21fj2j0ShGpzNLq4zxm777i1LWLPxnQ7EM0/K2zx/baPv8Oky4rfr/fu8Dfjq2t7RJGT46AF1dsqBrJJ1ue6P+0vaSzrG9XsOhDZSk820/ud6fSSku85jesOiIiGiGpDW6MLQuS6sUkmZQiha2qiqppEvm9B5KutT2muPtawNJiwCPp1yIvsj2PQ2H9ID0FA5Akr7O6Eo1znt7d2qJ7Ku7kBDWBHh5+v4v2v5HcxFFTJykXzOX5TdsbzvCcGLw9pe0MnA6pTjWieP1uLRAllYp1gIe3XQQQ3CGpDfb3q+/UdIulGqcrSTphZTRZn+njEhaTdJbbB/ZbGRFegoHSNLljD8WfPUGwokBm0M1zh1tX9FkXIMm6X5ml4QW8HBKkZnWDqmU9C5gD+A6YFZttu2nNBdVDMo4w4OhDPc/A3i/7ctGH9VwSHpm7y5lyPsu/fttZ+3Naa72NGwEbAm8BVjC9iMaDWrAJC1EmZqxC2XeN/QtrWL73jk9dzrr+1+l+vVfwIdtH9poYAMmaXngMOAeZieBGwKLUKaq/Kup2IZJ0t+AF9m+tG6vARxh+/HNRlYkKRwgSY/s21yUsjzFI2x/oqGQYgh61Tht39Z0LDEYki4FNulKGeyukfRp4GrgJ5STre2BNSgT/N9me8vmohue/qHu0Q61OuMz6m0Z4BzgJNs/bTCsocnSKu0maSvgSXXzQtt/aDKeYetNQ+rbFvDn/rYmJSkcMkln2n5q03HEgpP0v8AXbd9ct5el9DJ8rNHAYoFJOg7YOktQtJOkc22vO6btHNvrjbevLSSdZXuDpuOIwZF0H6Vn5XPAb6fSfKSYvLo80s22b6nbW1Gqr14BfDvv8/Qm6eX17tbAY4GDKT3BrwL+YfvtTcXWL3MKB0hS/4fvDEpXeH7G7fEC2x/pbdi+qY4PT1I4/V0GHC/pCODuXqPtrzYXUgzQfyW9GuitefZKZi8d1Koro5L6hxHOrBev1GuwfePoo4oBehTwdGAL4N2SZgF/sv3xZsOKBXQwpdLoLZLWAw6hJP7rAd9hzDDwmHb6l9i4DugN8/83ZWThlJCEZbC+0nf/Psqcs1c3FEsM3kxJD7N9NzwwrOVhDccUg/GPeluk3qJdXkspUPEdShJ4KrBj/Rt+Z5OBDcGZzJ6TBA9eA8tA5rhPY7ZvlnQZsAqwMmWO+8LNRhUD8HDbvaUndgT2t/2VWn30nObCikGw/YamY5gfGT46QJIeZfuGpuOI4ZD0IcrVnh/UpjcAh9cFhVupTgbvjXX/s+2sdxYR0ZCaEP4NOBk4kfJ/uXVDCyU9D1jS9s/HtL8SuMV2qxavH7MU1FmU4jJH1e3z2lz0rA6dXcv2MfVC3UJtq9kg6YO2vzhm8foH2H53A2E9RHoKB0DSi4H9gXvrUI5X2/5jw2HFANXJwD8BzgWeU5s/3fun3UZ1uN2XgOMpvQ57SfrA2A/pNpC0HPBB4In0DeWw/azGgoqBqe/vm4FVefCSI29sKqZRqhXuXgNsb/uJTccTC2RN27Pm/bBp7xOUOXVjHQ/8GmhVUgj8QdLBlGWulgX+ACBpBUqFzlaS9GZgV+ARlOJfKwPfBZ7dZFxD8Nf69Yy5PqphSQoH47PAM2z/TdImwBeZPV44WsC2Jf22Xsn7XdPxjMhHgY16vYP1xPoYZs/LapMDgZ8BLwLeCuxMGesf7fAryppuxwD3NxzLSEhaEdiOkgw+mTI/aftGg4pJqyfPx9u+pF6k/D5lbuwVwOttnzW3509DD7P9kP/Btm+oFcDb5r2Uv9cVgM37ltz4f5TP4rZ6B7AxcBpA/f1u3bqMtn9d10J+su3/aTqeOUlSOBj32f4bgO3TJC3ZdEAxFGdJ2sj26U0HMiIzxgwX/Q+lgFIbPdL29yW9p67jdoKkrrzPXbCY7Q81HcQoSNoV2AFYiVK84k3Ar2zv2WhgsaDeA/yw3t8BWBdYDVifMl/2Gc2ENTRLSVpobEVoSQtT1s5tFZe5XAeN0352A+GM0t227ynXOR5Yn7KV89ps3y/p6U3HMTdJCgfj0ZJ2m9N2Khi2xibAayVdSVncvbeYe1vH+v9O0lFAb/2r7YDfNhjPMPWuyl4raRvgn5ThLNEOv5H0Qttt/f3t9y3gT8BrbJ8BIKmVJ1kdc19f79GLgB/VdVWPkdTGee2/APaT9E7bdwBIWoKSAP+i0chikE6Q9BHg4ZK2Bt5OGR7cVudIOpxSXfaOXqPtKfE7nUIzAyBpj7ntzxXadqiToR/C9pWjjmXY6vCklSlFZjavzSfZPqy5qIZH0osowwtXAfYClgL2tH14o4HFQEi6DVicstzIvcy+oLNUo4ENgaRHUta+2oEy9OxgyvDCVRoNLBZILT6yDXATcCXwLNsX1n1/tf2EJuMbtNpj9BnKUgxXUv5mV6EMm/14X4Ic01itrvom4LmU9/go4HtuaXIi6QfjNHuqzG9PUhgxnyQ9Zrx22/8YdSyj0F8NLSKmH0krU3r4d6AkxYf1r7Ua00e9cLUPMBP4te031/ZnAh+0vU2T8Q1LrUa5Zt281PadTcYTg1Xnh95l+/66PZMyn/S/zUY2HJKebvuUebU1JUlhxHySdD6z1/9alDKf46K2VvOTdADwrS7MoZS0GvAuHlqdctumYooFJ+nxtQDYBuPtb2FxjjmStBawg+1PNR1LTE7tPVvS9k19bYtTzuVuby6ywZO0EXCV7X/V7Z2AV1B6DT9p+8Ym4xuWOufsk8BjKZ9FvVENrVxfVNKpwHN6v791iPDvbT+t2ciGQ9JZtjeYV1tTMqcwYj6N7TWrJ5pvbyicUdiEssD3FbR/DuUvKcOSfg10odx7V+xGKXf+lXH2GWjdkiOSXj6X3ReMLJAYuFp05aYxbXfM4eHT3T7U5Z8kbQF8nnLhbj1gX0rl1Tb6PvA+4Ey6USl50f4LGrZvl7RYkwENg6TNgKcBy42pQbIUpfd/SkhSGDFJts+qS5C01fOaDmCE7rL9zaaDiMGyvWv9ulXTsYzQi+eyz6RIR0wPM/t6A7cD9rV9KHCopHOaC2vobrF9ZNNBjNAdkjbojdqQ9FSgjUOEFwGWoORd/SsU3MoUusCR4aMDMCbrf4hUH22HMe/zDGADylIGrU2eJG0OrGX7B3WdwiVsX950XIMm6TXAWsDvKcVIgG4NL2yzOk9lGx46PDj/myOmIEkXAOvZvk/S34BdbZ/Y22f7Sc1GOBySPk/pOfoFHfgsqsOED6JU/BalONZ2ts9sNLAhkfTYqVycMD2Fg9Gf9b+FMuwh2qf/fb4POAI4tKFYhq5W1d0QeBzwA2Bh4MfAlF5nZ5KeDLyOMpywN3y0lcMLO+rXwF3A+XRgeHBNgpe1fUPdXgR4PfC+tlWp7JpaGfq1wOq2P1ULoP0/239uOLRB+ylluYIbKD1HJwFIWhO4pcnAhqw3+mjDvrbWfhbZPl3S4ynnGVDqNLS5suzDJO3LQy9QTon3Nz2FAybpbNvrNx1HDE+dCE3bJvaPVYforA+c1fudlnReG+cUSroUWMf2PU3HEoPX1t/b8UjannJh8g7gEuCzwP7A6cCn29rj0BWS9qZc2HiW7SdIWpZSmGOjhkMbOEmbAitQjq+3VuHalBEr+T2exiQ9y/Yf5jQHeqqs2zdoks4FvsuYOaNTpWc0PYWDlyy7pSQ9Cfg/6qLm9QrmzrbbWrzhHtvuLXxdq9y11QXAMsD1DccRw3GkpOfa/n3TgYzAx4Cn2r60FsP6E/BK221eELpLNrG9gaSzAWzfVHuCW8f2qZK2At5QOki50PZxDYc1VJKWBvYAtqhNJwCfst223tFnAn9g/DnQbZ77fJ/tvZsOYk6SFEbMv32B3XofSpK2rG2tLJ0MHCxpH2AZSW8G3gh8r+GYhmUZ4G+STufB8ziyJEU7nAocVhdKbvXi9ZSLOZfCA8WwLklC2Cr31uHBvYt1y9HCIdGSVqIkBndRelUAXiXpC8DLbF/TWHDDtT/lIuWr6/brKNM35lZVeNqxvUe9u0tvjcKO+LWktwOH8eBzjSmxxEqGjw7AmPXr1gAu7e2ivSX8O0fSubbXnVdbm0jaGngu5Xf5KNtHNxzSUNQFoB/C9gmjjiUGT9LlwEuA893yDz1JVwP9BXR2699OcZ3pTdJrKdU4NwAOoFQu/JjtQxoNbMAkHQb8yvYPx7TvBLzC9ksaCWzIJJ1je715tbWFpH8AvwN+BvyhA/+fxyvUN2XWoUxSOACSHju3/VO50lDMv/ohdRZlCCnAjpRhWi9rLqrhkfQF2x+aV1vEVCfpRGBL263rURmrFoiaE2fx+umvFuZ4NuVi3bG2/9pwSAMn6SLbj5vovulO0p+AD9g+uW4/Hfiy7c2ajWw46pqELwK2p1zo+A1wUO/4Y7SSFA6QpGUoZe0BLm7hGPBOqxP69wQ2r00nAnvavmnOz5q+JJ1le4Mxba0s2CHpNmbPB16EUmn1jpYOL+wcST8EVgeO5MFDdjrVayZpI9unNx1HTF4tvnKh7dvq9lLAE2yf1mxkg1WHPa81TvsMyvnVmg2ENXSS1qP0AC9NSfpvBF5v+9wm4xqFeo71DeC1tqfMgu6DJGlh4G3MnjN6PLDPVKm4mjmFAyDpYZRqby8FLqf8IT+29iy9NRUN26Emf++GB0q+L2771majGjxJbwPeDqwu6bxeM2Xh1VMaC2yIbD+w3Egt+f4SYNPmIooBu7zeFqm3zpC0DrBDvd3Mg0vdx/SzN6VHpef2cdra4DeS9gPe21d5dHHga8BvG41siGyfA6xbk33aeI4xVp2+sR3wfOAMZs+nbKO9KRedv1O3X1fbdmksoj7pKRwASZ+mXIV+a9/VuyWBbwNX2v54k/HFYEj6CfBWShnh04GlgG/Y/lKjgQ1YrX62LPA5YPe+XbdNlcnQo5DlZWK6krQqsxPBe4HHAhvavqLBsGIA5jDnrHUjOGqPyuco62v2puA8htKL9pG2XWyXtKPtH0vabbz9bR3VIOkK4GzgYODw3gWAtprqtSnSUzgYLwM2tv3fXoPt22qFoVOBJIXtsI7tW+tE/yMpCdOZQKuSwjrs+RZgB0nrAs+ou06iDGVpnTFrJc2g9Kbc1VA4MWCSNgQ+SkmO+hcMbtWJNDwwJ2kp4CBKQY5LJF2ehLA1LpP0bkrvApRRHZc1GM9Q1OF0/yPp40BvqOjf+8+zWqa35NOS4+xrZe9NHXG1f8fmOd8vaQ3bfweQtDp96xU2LUnhYMwa7x+V7dt7a7xFKyxcr16+FPiW7Xvb/P7WE49dmb1e0I8l7Wt7rwbDGpb+tZLuA66gDCGNdjgQ+ABwPi0s3z/GdcBKwPLAcpQF7Fv7f6qD3gp8k7IepYFjKf+nW0XSB21/0fadkh7fX11V0v/a/kiT8Q2a7X3q3WNsP2iaRi020zq275f0IqBLSeEHgOMkXUadaga8odmQZsvw0QGQdC6wJeUNHuu4qdItHAumJkkfAs4FtqEMZfmx7WfM9YnTVJ1PuNmY+Rx/amPvSrSbpJNtbz7vR7ZDHQL+csrw0bUo63A+z/afm4wrFkztWfmR7dc2Hcuw9Rc6G1v0bLwiaG0xhwJvbT7er1Hm2P0MeGDoqO2zGgtqyGodkl713Its3z23x49SegoHY2nKMMLxksJk3S1h+5uUK7Q9V0raqql4RkA8eFjD/Yz/Oz5tSdqLufyN2n73CMOJ4dlD0vcovSr91Ud/MeenTF91CPgPgB9IejSliMPXJD3G9irNRheTVXtWHitpkbbNqRuH5nB/vO1pT9JmwNOA5cbMK1wKaGUlzmq9+rW/t9DAs0YfyvBJegdwoO3z6vaykt5k+zvzeOpIJCkcANurNh1DDJ+k5YH/BVa0/YJa1W8z4PvNRjY0PwBOq1V0oQyb3b+5cIbijL77ewJzW+Mtpq83AI+nXJHuDR81s4dGt5Kk5ShrE+4F7DWvNXVjWrgMOEXS4Ty4Z6VthUg8h/vjbbfBIpQK3wvx4HmFtwKvbCSiEbDd5gvr43mz7W/3NmzfJOnNzK5G2qgMH42YT5KOpCRKH7W9rqSFgLNtP7nh0IZG0gbMXpfxJNtnNxnPMKXaaHu1ebHrseqSKnsA72R2D8N9wF4dK+jQSpLGvXBle89RxzJMku6nJL0CHg706jYIWNT2wk3FNkySHmv7ynk/sh3mdLHddisvtks6H3iKa/JVh4SfZ/uJzUZWpKcwYv49yvbBkj4MYPu++sHVKpLeAhxg+646rv+svn3vsf2N5qIbqlwha68/SlrH9l+aDmQE3gc8HdjI9uXwQIW7vSW9z/bXGo0uFkjbkr85aevi5fPhv5K+BDwRWLTXaLuVwymBH1IvttftiynzC1uZFAK/A34mqVdY6C21bUqY0XQAEdPIHZIeSU0eJG1KWbqhbb4OnClpvXH27TzaUCIGYlPgHEkXSTpP0vm1kFIbvQ7YoZcQAti+DNgR2KmxqGIgJB0n6Q9jb03HFQNzIPA3YDXKlIYrKOsit9WjbB9MHdZv+z6m0BINQ/Ah4A/A2+rtWOCDjUbUJz2FEfNvN+BwYA1Jp1DKvbdxrP/fKP+4finpW7a/3LevVRP8Jd3G7B7CxSTd2ttFmYu1VDORxYA9v+kARmhh2zeMbbT977qkTkxv/9N3f1HgFZThwdEOj7T9/Toq5wTgBEltTgq7crEdANuzgO/W25STpHDAJP3G9ovmtB3Tl+2zJD2TUkpYwEXAxs1GNRS2/fu64Pf3JL0A2NH2tbRsiKXt8RYKjpbpzdGplTgXncfDp7u5VaVse8XK1rN95pimUyRlqZH2uLd+vVbSNsA/gUc0GM+wdeVi+7SQpHDw3jyP7Zhm6kTgV1MWhD7S9oV1wdV9KRPgW1mcpPY2vFTSWylVSN/XdEwRkyFpW+ArwIrA9ZQFg/9KmbfTNuv29Xj3E+1PiFtPUn+CMAN4KmVZrGiHz9R1Rt8P7EVZkqK1n73jXWy3fe88nhZDkuqjAyZpEUrpc1N+uXNldpqT9ENgFeDPwCaUK3dPBT5s+5fNRTYc41XhlPR4ylyHJ9l+WDORRUyOpHMp614dY3v9ur7ojrbf1HBoERMi6XLK+YUow0YvBz5l++RGA4uBkLSK7avGtP0/2/9qKqZhkLQRcFXvuCTtRBkKfSXwSds3NhlfVyUpHKDa1f9d4O+Uf9irAW+xfWSjgcUCkXQBpYTwLEmLAv8C1rD9n4ZDGwpJG9t+yHCkOh/pFbYPaiCsiEmTdIbtDWtyuH79Wz7X9rpNxxYR0SPpPuAQ4E22/1vbzrK9QbORDZaks4Dn2L5R0hbAQcC7KIvZP8F2q4aQSvo1c5l+Y3vbEYYzRxk+OlhfAbayfSmApDWAI4AkhdPbPXVyMLbvknRZWxNCgPESwtp+L+Ufd8R0c7OkJYATgQMlXU/fwt8R00W9OPc2YIvadDywT4bctcb5wEnAyZJeZbvXydA2M/t6A7cD9rV9KHCopHOaC2toegX7BOwH7NJgLHOUpHCwbuslhNVlwG1NBRMD8/i+8vWiTIg+j9kVKp/SXGgRMR9eAtxJmZvzWsocrCzkHtPR3sDCwHfq9utq25Q8yYwJs+3v1FENv5b0IVpW4K2aKWmhugTFs4Fd+/a1LjeplWQBkHR7//ZU0roffMPOkPRb4GDKH/GrgNMlvRzA9i+aDC4m7QlNBzBVSFok82RjOqmFon5jeyvKWlgHNBxSxILYaMyw5z/UBCLaQQC2T5H0bMr55OObDWkofkpZbuMGygW7kwAkrUmLl6SopmySn6RwsBYFrgOeWbf/TalO+WLKL0GSwmmoV86+KyR9wvZDelFqRbRfAVuOPKiISbJ9v6RZkpa23faTjWi/+yWtUYcVIml12r3Yd9e8sHfH9rW1KNbTGoxnKGx/VtKxwArA7z27wMkMytzCVhlTNXimpGXpGxY8VQrrJCkcINtvaDqGiAHYXNJnbX+01yBpeeAocmEjpqfbgfMlHU3fXELb724upIhJ+QBwnKTLKCeVjwVy7jHNSdrR9o+BHaRxpxCeOOKQhs72qeO0XdxELCNwJrOrBgOc1bfPwOojj2gcSQoHQNJezL2qUE48YjrZFvi5pK/a3k3SWpRiSV+2/d2GY4uYjF+QCxrRAraPrf+TH1ebLrJ9d5MxxUAsXr8u2WgUMRS2V2s6hvmRJSkGQNLOc9tvO3NYYlqpFe5+BtxNGbryXtuHNRtVRES3SXoV8Dvbt0n6GLAB8BnbZ83jqRExhdQVCl4DbG/7iU3HA0kKh0LSUpQKUqk82gKSjmPOPcG2/exRxjNsknardxcGPkiZAP7A0BXbX20irojJknQ+D/0bvgU4g3JC3dolZqJdJJ1n+ymSNgc+TSl1/wnbmzQcWiwASd+c2/6MOGsHSStSluB4DfBk4HPAL2yf32hgVYaPDpCkDYEfULr/Jelm4I22z2w0sFhQ/zNO26aUhOn6EccyCv3DV745TlvEdHMkpRjHT+r29sBiwL+AH1KKgUVMB72iMtsA+9k+QtJnmgwoBqJ3nvh0YB3KSB0oVez/0khEQyTpNuY+7WqpEYYzdJJ2BXYAVqJUlH0T8CvbezYa2BjpKRygunbdO2z3SutuDnwn69i1h6RnAh+nVJr9rO0jGw4pIuZB0lm2NxivTdL5tp/cVGwREyHpN8A1wNaUoaN3An8es0xFTFOSTgU2r+v39aZynGR702YjGw5JnwauBf6PUoTltcAKtj/RaGADJuke4E/A+22fUdsusz0lCsz0zGg6gJa5v5cQAtg+GbivwXhiQCQ9T9JJlITws7Y3b2tCKOnNtZABKvaXdIuk8ySt33R8EZMwU9LGvQ1JGwEz62b+R8d08mpKJejn2b4ZeASlImm0w7JAfy/ZErWtrba1/R3bt9m+1fbewEuaDmoIVqCszfgVSRfVZHjhhmN6iAwfHQBJvSvQJ0jah/LGmzJu+Pim4orBkHQ6sBzwJcqVnv73nBZO8H8PZUgdlOEO61LKJa9PGU76jGbCipi0XYD9JS1BuRp9K/AmSYtT5nRETAu2/yvpemBz4BLKRY1Lmo0qBujzwNm1loGALYBPNhrRcN0h6bXAQZTz5h3oWzaoLeq89e8C35W0MiU/uE7SX4HDbH+k0QCrDB8dgPrHOye2/ayRBRMDJ+l45l5oplXvr6RzbK9X7/8EOM32N+r2Q4bhRUwXkpYGyCL2MV1J2gPYEHic7bVr4YpDbD+94dBiAUmaQalXcBnQKxx0mu1/NRfVcElaFfgGZS6lgVMo1c6vaDCskamjsnaw/ammY4EkhRExhqSzKEUMbgKuBJ5l+8K676+2n9BkfBETVZPBPShX3QFOAD6V5DCmG0nnUEZtnGV7/dp2XmoXtIOks3vva7SHpJfPbb/tKbGOboaPDkBfCf9xpYT/9DZd/pgH6BOUUv0zgcP7EsJnUq5gRkw3+wMXUOZjAbyOUil6rn/bEVPQPbYtyQB1CHS0x7GSXkFZpqD1vTaSfsA4I7Fsv7GBcIZpbhWuDUyJ88j0FA5AHc4B8DhgI+Dwuv1iSlWwHRsJLAai/tOaE7fwnxeSFgKWtH1TX9tiwAzbtzcXWcTE9Q+JnltbxFQn6X+AtSjVRz9HKW3/E9tzXecupoe6VMPilLmid1HmFbptSzT01AS4Z1HgZcA/sy5jM5IUDpCkE4FteovWS1oSOML2FnN/ZsTUUSszXtWbxyBpJ+AVlKGkn7R9Y5PxRUyUpD8BH6gVoZH0dODLtjdrNrKIiZO0NfBcSsJwlO2jGw4pYiDqvMqTbT+t6VgGTdJMYFnbN9TtRYDXA++bKtNysiTFYC0P3NO3fU9ti2lO0kxJj+rbXkTSrrVyVNvsQ/09lrQFpRraj4BbgH0bjCtist4KfFvSFZKuAL4FvKXZkCImpvc5ZPto2x8APgKs1tLPoc6StKykjSVt0bs1HdMIrQU8uukgBk3S9sCNwHmSTpD0XMp0nBdQ1macEjKncLB+BPxZ0mF1+6XMLu0f01T9Y96HUjr5EuCzlDlKpzOF/pgHaGZfb+B2wL62DwUOrUUOIqaNenX2dbbXlbQUgO1bGw4rYkI6+DnUSZJ2oSwLtTJwDqUa6Z+AVlU576nDZU0dJgv8C/hQo0ENx8eAp9q+tC5p9ifglbZ/3XBcD5LhowNW3+zeOm4n2j67yXhiwUm6AHjpVP9jHpR6vOvZvk/S34BdbZ/Y22f7Sc1GGDExkk61vWnTcURMVtc+h7pK0vmU2hSn2l5P0uOB/7WdoljT2NjlvKbquVR6CgesLmTetsXMu+4e25dCeX8lXdLyD+KfAidIugG4EzgJQNKalCGkEdPN2ZIOBw6hb2HkFlYOjvbq2udQV91l+y5JSHqY7b9JelzTQQ2TpG2ZvVzQ8bZ/02Q8Q/LoMSsVLNO/PVVWKUhSGDFv0+KPeVBsf1bSscAKwO/7ymLPAN7VXGQRk7Yo8B8ePARrypQBj5gPnfoc6rCrJS0D/BI4WlJvveBWkvR5Ss/ogbXpPZKeZvsjDYY1DPsBS85he8oM2czw0Yh56FtyZDy2/amRBRMREyJpOeCxwKW2b244nIhJmcfnELb3HFUsMRp1beClgd/Zvmdej5+OJJ1Hma4yq27PBM62/ZRmIxsdSRvZPr3pOCBJYcQCmUp/zBHxYLVow/8CfwdWo8yPPXzuz4qIGC1Jj5jb/rYuBVWTwi17x1d/Dse3PSmUtA6wQ73dbHvDhkMCMnw0YsLG/jEDU+KPOSIe4r3AE23/W9LqlCFKSQojYqo5k9lVOB8D3FTvLwP8g3JRq40+R5nzfRzleLcAdm82pOGQtCqzzx3vpYxg2dD2FQ2G9SBJCiPmw3T4Y46Ih7jH9r8BbF8m6WFNBxQRMZbt1QAk7QccZvu3dfsFlOXNWsn2TyUdT5lXCPAh2/9qMKShkPQnYCngIOAVti+RdPlUO4dMUhgxD9PljzkiHmJlSd+c07btdzcQU0TEnGxq+829DdtHSvpikwENQ11Wpd/V9euKklaslfzb5DpgJWB5YDngEqZQgZmeJIUR8zYt/pgj4iE+MGb7zEaiiBgQSctT5smuaPsFdTrDZra/33BoMRj/lPQx4Md1+7XAPxuMZ1i+Mpd95sGVoqc92y+VtDTwcuCTktaiVBDe2PafGw7vASk0EzEf+v6YdwDWoozzf95U+mOOiIh2k3Qk8APgo7bXlbQQpVrjkxsOLQagFlrZg9nr9p0I7NnWQjNdJenRwHbA9sBjbK/ScEhAksKICat/zK+mJIhT5o85IiLaTdLptjeSdLbt9WvbObbXazi0iAmT9A7gwN5yQZKWBXaw/Z1GAxuiukwSvfnukh5re0qsRTmj6QAiphvb19v+lu2nA99oOp6IiOiMOyQ9kjqFQdKmwC3NhhSDImltSftK+r2kP/RuTcc1RG/uXz/W9k3Am+f88OlJxScl3QBcDFws6d+SPjFVEkLInMKIBfVu4MtNBxEREZ2wG2VZlTUknUKZ5/7KZkOKAToE+C7wPeD+hmMZhZmS5DpssS5ev0jDMQ3D+4CnAxvZvhygLpO0t6T32f5ao9FVGT4asQAkXZXhoxFTm6S1gb2B5W0/SdJTgG1tf6bh0CImrM4jfBxlXbeLbN/bcEgxIJLOtP3UpuMYFUlfoizxtU9tegtwle33NxfV4Ek6G9ja9g1j2pcDft8bCt60JIURC0DSP2w/puk4ImLOJJ1AqUS6T988rAtsP6nZyCImRtLLx2m+BTjf9vWjjicGS9IngeuBw4C7e+1tLTQjaQYlEXx2bToa+J7tVvWSzu3zZip9FmX4aMQ8SDqf8ZegEGWZioiY2haz/WdJ/W33NRVMxAJ4E7AZcFzd3pKy1Mpqkj5l+/+aCiwGYuf6tX85HQOrNxDL0NmeRRnFsXfTsQzZPZPcN1JJCiPm7UVNBxARC+QGSWswuzjHK4Frmw0pYlIWAp5g+zp4YN3CHwGbUJYvSFI4jdlerekYRknS04FPUoaQLkS52G7bbUuC15V06zjtAhYddTBzkqQwYt4WpsxFOqW/sf4z+1czIUXEBLwD2Bd4vKRrgMuBHZsNKWJSVuklhNX1te1GSZlb2AKSngSsQ1+yYPtHzUU0VN+nFGE5kxYX1rE9s+kY5keSwoh5+zrw4XHab637XjzKYCJiYmxfBjxH0uLADNu3NR1TxCQdL+k3lCqVAK+obYsDNzcWVQyEpD0oQ4LXAX4LvAA4mdIb3Ea32D6y6SCiSKGZiHnoLRY8h33n237yqGOKiPkn6WGUk+dV6bsYavtTTcUUMRkqE2NfQSlvD3AKcKhzMtcKtYbBusDZttetw4N/bHvrhkMbCkmfB2YCv+DBhXXOaiyoDktPYcS8LTOXfQ8fVRARMWm/olRoPJO+E4+I6aYmfz+vt2ifO23PknSfpKWow4ObDmqINqlfN+xrM/CsBmLpvCSFEfN2hqQ3296vv1HSLpSTzIiY2la2/fymg4hYUJI2BfYCnkBZ5HsmcIftpRoNLAblDEnLAPtRzi9uB/7UaERDZHurpmOI2TJ8NGIe6vCNwyhlg3tJ4IaUD+SX2U6xmYgpTNK+wF62z286logFIekMYHvKnMINgZ2AtW2PN+89pjFJqwJL2T6v6ViGpZ5f/S+wou0XSFoH2Mz29xsOrZOSFEbMJ0lbAb0FRi+0/Ycm44mIuZN0ATCLMipmLeAyyvDRXtnzpzQYXsSESTrD9oaSzuv9/ko62/b6TccWC07SsbafPa+2tpB0JPAD4KN1DuVClPmUqdXQgAwfjZhPto9j9oLBETH1rQSs13QQEQP0X0mLAOdI+iJlvc0ZDccUC0jSosBiwKMkLUu5cAWwFOX/WFs9yvbBkj4MYPs+Sa1dmmKqS1IYERFtdbntK5sOImKAXkeZR/hOyvpuq1Cqkcb09hbgvcCKlGkqvaTwVuBbDcU0CndIeiSluExvzuwtzYbUXRk+GhERrSTpauCrc9pve477IiJGTdK7bO/VdByjImkDSuGkJwEXAMsBr2zzPMqpLD2FERHRVjOBJZh91T1iWpN0ObVXpZ/t1RsIJwZE0kbAVb2EUNJOlB7gK4FP2r6xyfiGxfZZkp4JPI7yf/oi2/c2HFZnpacwIiJaSdJZtjdoOo6IQalD7XoWBV4FPML2JxoKKQZA0lnAc2zfKGkL4CDgXZQ50U+w/com4xuWOpfy7cDmlIsdJwHftX1Xo4F1VJLCiIhopVRljC6QdKbtpzYdR0yepHNtr1vvfxv4t+1P1u1zbK/XYHhDI+lg4Dbgx7XpNcAytl/VXFTdleGjERHRVq0s4x7dVedg9cygrFWYc7npb6akhWzfR/m/tWvfvja/v0+yvU7f9nGS/tJYNB3X5l+0iIjosLbOw4lO+0rf/fuAK4BXNxNKDNBPgRMk3QDcSRlGiaQ1aXc1zrMkbWr7VABJmwBnNBxTZ2X4aEREREREg+pyDCsAv7d9R21bG1jC9lmNBjckkv5KKTLzj9r0GOAiygUP235KU7F1UZLCiIiIiGlA0m7jNN8CnGn7nBGHE7FAJD12bvuzzuxoJSmMiIiImAYk/YQyj/DXtelFwHnAqsAhtr/YUGgRkyJpXeAZdfMk2+c2GU+XzWg6gIiIiIiYLysDG9h+v+33A08FHg1sAby+ycAiJkrSe4ADKb/DjwZ+LOldzUbVXSk0ExERETE9PBq4u2/7XmB523dKunsOz4mYqt4EbNI3h/ILwJ+AvRqNqqOSFEZERERMDwcCp0n6Vd1+MfATSYsDKeUf042A+/u2769t0YDMKYyIiIiYJiRtBDytbp5iOyX8Y1qqhZN2Bg6rTS8Ffmj7603F1GVJCiMiIiKmCUkzgeXpG+1l+x9zfkbE1CVpA2DzunmS7bObjKfLkhRGRERETAO1CMcewHXMHmqX9dxiWpH0iLntt33jqGKJ2ZIURkREREwDki6lFOb4T9OxREyWpMsBUy5qrAD8s7eLcpFj9aZi67IUmomIiIiYHq6iLFYfMW3ZXq13X9LZttdvMp4okhRGRERETA+XAcdLOoK+pSlsf7W5kCIWSIYsThFJCiMiIiKmh3/U2yL1FhExEJlTGBERERERI1GXoujZDXhQT3d6vpuRnsKIiIiIaUDScsAHgScCi/babT+rsaAiJm7Jvvv7jdmOhiQpjIiIiJgeDgR+BrwIeCtl4e9/NxpRxATZ3rPpGOKhZjQdQERERETMl0fa/j5wr+0TbL8RSC9hTCuS3ixprXpfkvaXdIuk8ySlEmlDkhRGRERETA/31q/XStqmnkDPdSHwiCnoPcAV9f4OwLrA6pT5hd9sKKbOS1IYERERMT18RtLSwPuB/wG+B7y30YgiJu4+270LHC8CfmT7P7aPARZvMK5OS1IYERERMQ3Y/o3tW2xfYHsr208F1mg6rogJmiVpBUmLAs8Gjunb9/CGYuq8JIURERER09du835IxJTyCeAMyhDSw21fCCDpmcBlDcbVaVmnMCIiImKaknSV7VWajiNiIiQtBCxp+6a+tsWAGbZvby6y7kpPYURERMT0lav7Ma1I2gh4VC8hlLSTpF8BnwcWaTS4DktPYURERMQUJuk2xk/+BDzcdtadjmlD0lnAc2zfKGkL4CDgXcB6wBNsv7LJ+Loq/0QiIiIipjDbSzYdQ8QAzbR9Y72/HbCv7UOBQyWd01xY3ZbhoxERERERMSoz65xCKNVH/9C3Lx1WDckPPiIiIiIiRuWnwAmSbgDuBE4CkLQmcEuTgXVZ5hRGRERERMTISNoUWAH4ve07atvawBK2z2o0uI5KUhgREREREdFhmVMYERERERHRYUkKIyIiIiIiOixJYURERERERIclKYyIiE6TtJyk70i6QtLdkq6TdKykrZuOLSIiYhSyJEVERHTdocBiwJuAS4FHA88EHjmsF5Q0g1Ls7f5hvUZERMT8Sk9hRER0lqRlgGcAu9s+1vaVtk+3/WXbB9XHLCvpAEk3SbpT0jGSntj3PV4v6fYx33dLSZb0qP7HSHqhpAuAe4AnSFpE0v9KurL2Ul4m6d1932cdSUdIuk3S9ZJ+Kun/9e1/cu3VvLV+/3MlbTXUH1pERLROksKIiOiy2+ttW0mLzuExPwQ2AV4CbAz8F/idpIdP8LUWBT4OvAVYB7gSOADYCdgNeAKlt/JmAEkrACcCF9TXfQ6wBPCr2tMI8BPg2rp/PeCTwF0TjCsiIjouw0cjIqKzbN8n6fXAfsCuks4GTgEOsX2apLWAbYFn2j4RQNLrgH8ArwW+N4GXmwm80/aZ9fusBWwPvMD27+pjLut7/NuAc21/qNcgaSfgRmBD4M/AY4Ev2/5bfcilE4gnIiICSE9hRER0nO1DgRWBFwNHAk8DTpX0EUrv3SzgT32PvwU4n9LbNxH3Aef0ba9fv/dxc3j8U4Et6rDQ2+sQ1avqvjXq168C35P0B0kflfT4CcYUERGRpDAiIsL2XbaPtv0p208Dvk8ZijnXp9WvswCN2bfwOI+/e4KFZWYAR1CGhfbf1gJ+U+P+JCU5/SUlmT1P0hsn8BoRERFJCiMiIsbxF8oUiyspn5Wb9XZIWgp4cn0MwL+BxWp7z3rz8Rrn1O89p8IwZwFPBK60femY2229B9m+xPY3bW9DSWZ3mY/XjoiIeECSwoiI6CxJj6xDL3eU9BRJq0l6FfBB4Fjb5wK/AvaR9AxJTwZ+DNxKKfICcBpwB/A5SWtKegXw9nm9tu2LgYMpwz9fUV/7GXXOIsC3gaWBn0naRNLqkp4jaV9JS0p6uKRv10qnq0raBNic2clqRETEfElSGBERXXY7cCrwHuAE4ELgfykJ33b1MW+gFHU5vH5dDHi+7TsBbN9IKTqzNWWu4a6UKqPzY6f6Wt8E/kapdLp0/b7/BJ5OGZ76uxrbt4G76+1+YNn6nIuAwyhzH3eb2I8gIiK6Trbn/aiIiIiIiIhopfQURkREREREdFiSwoiIiIiIiA5LUhgREREREdFhSQojIiIiIiI6LElhREREREREhyUpjIiIiIiI6LAkhRERERERER2WpDAiIiIiIqLDkhRGRERERER02P8HcoqP4ynRg9gAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 1080x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "df_items_by_sources.plot(kind='bar', figsize=(15,6))\n",
    "plt.grid(alpha=0.6)\n",
    "ax.yaxis.set_label_text(\"\")\n",
    "ax.set_title(\"Number of items by sources\", fontsize=15)\n",
    "ax.set_xlabel('Sources', fontsize=14)\n",
    "ax.set_ylabel('Items', fontsize=14);\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Item Categories by source providers"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>source.label</th>\n",
       "      <th>CESSDA</th>\n",
       "      <th>CLARIN Resource Families</th>\n",
       "      <th>DARIAH contribution tool</th>\n",
       "      <th>DARIAH-CAMPUS</th>\n",
       "      <th>EOSC Catalogue</th>\n",
       "      <th>Humanities Data</th>\n",
       "      <th>Language Resource Switchboard</th>\n",
       "      <th>SSHopencloud Service Catalogue</th>\n",
       "      <th>SSK Zotero Resources</th>\n",
       "      <th>Standardization Survival Kit</th>\n",
       "      <th>TAPoR</th>\n",
       "      <th>The Programming Historian</th>\n",
       "      <th>dblp: DH Publications</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Categories</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>dataset</th>\n",
       "      <td>0.0</td>\n",
       "      <td>925.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>301.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>publication</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>136.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2810.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tool-or-service</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>154.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1302.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>training-material</th>\n",
       "      <td>62.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>169.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>workflow</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "source.label       CESSDA  CLARIN Resource Families  DARIAH contribution tool  \\\n",
       "Categories                                                                      \n",
       "dataset               0.0                     925.0                       3.0   \n",
       "publication           0.0                       0.0                       0.0   \n",
       "tool-or-service       0.0                       0.0                      11.0   \n",
       "training-material    62.0                       0.0                       1.0   \n",
       "workflow              0.0                       0.0                       0.0   \n",
       "\n",
       "source.label       DARIAH-CAMPUS  EOSC Catalogue  Humanities Data  \\\n",
       "Categories                                                          \n",
       "dataset                      0.0             0.0            301.0   \n",
       "publication                  0.0             0.0              0.0   \n",
       "tool-or-service              0.0            27.0              0.0   \n",
       "training-material           80.0             0.0              0.0   \n",
       "workflow                     0.0             0.0              0.0   \n",
       "\n",
       "source.label       Language Resource Switchboard  \\\n",
       "Categories                                         \n",
       "dataset                                      0.0   \n",
       "publication                                  0.0   \n",
       "tool-or-service                             50.0   \n",
       "training-material                            0.0   \n",
       "workflow                                     0.0   \n",
       "\n",
       "source.label       SSHopencloud Service Catalogue  SSK Zotero Resources  \\\n",
       "Categories                                                                \n",
       "dataset                                       1.0                   0.0   \n",
       "publication                                   0.0                 136.0   \n",
       "tool-or-service                              16.0                 154.0   \n",
       "training-material                             1.0                  62.0   \n",
       "workflow                                      0.0                   0.0   \n",
       "\n",
       "source.label       Standardization Survival Kit   TAPoR  \\\n",
       "Categories                                                \n",
       "dataset                                     0.0     0.0   \n",
       "publication                                 0.0     0.0   \n",
       "tool-or-service                             0.0  1302.0   \n",
       "training-material                           0.0     0.0   \n",
       "workflow                                   25.0     0.0   \n",
       "\n",
       "source.label       The Programming Historian  dblp: DH Publications  \n",
       "Categories                                                           \n",
       "dataset                                  0.0                    0.0  \n",
       "publication                              0.0                 2810.0  \n",
       "tool-or-service                          0.0                    0.0  \n",
       "training-material                      169.0                    0.0  \n",
       "workflow                                 0.0                    0.0  "
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_categories_bysources=utils.getCategoriesBySources()\n",
    "df_categories_bysources.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1.2 Iitems created by individual users \n",
    "\n",
    "The dataset of items not created by 'system importer' can be obtained by filtering the value of the correspondent attribute.  \n",
    "The attribute in the dataset where the name of the creator is stored is *informationContributor.username* , in the cell below the *publication* dataset is filtered to individuate items not created by System importer. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>label</th>\n",
       "      <th>category</th>\n",
       "      <th>informationContributor.displayName</th>\n",
       "      <th>source.label</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>223</th>\n",
       "      <td>Archaeology Data Service / Digital Antiquity G...</td>\n",
       "      <td>publication</td>\n",
       "      <td>Administrator</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>930</th>\n",
       "      <td>Documentation about the Europeana Data Model</td>\n",
       "      <td>publication</td>\n",
       "      <td>Administrator</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1318</th>\n",
       "      <td>Information Organization and Access in Digital...</td>\n",
       "      <td>publication</td>\n",
       "      <td>Laure Barbot</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1395</th>\n",
       "      <td>ISIDORE celebrates its 10th anniversary</td>\n",
       "      <td>publication</td>\n",
       "      <td>Edward Gray</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2114</th>\n",
       "      <td>ROSSIO Infrastructure: a digital research tool...</td>\n",
       "      <td>publication</td>\n",
       "      <td>Laure Barbot</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                  label     category  \\\n",
       "223   Archaeology Data Service / Digital Antiquity G...  publication   \n",
       "930        Documentation about the Europeana Data Model  publication   \n",
       "1318  Information Organization and Access in Digital...  publication   \n",
       "1395            ISIDORE celebrates its 10th anniversary  publication   \n",
       "2114  ROSSIO Infrastructure: a digital research tool...  publication   \n",
       "\n",
       "     informationContributor.displayName source.label  \n",
       "223                       Administrator          NaN  \n",
       "930                       Administrator          NaN  \n",
       "1318                       Laure Barbot          NaN  \n",
       "1395                        Edward Gray          NaN  \n",
       "2114                       Laure Barbot          NaN  "
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "publications_imported_by_Si=df_publication_flat[(df_publication_flat['informationContributor.username']!='System importer') & (df_publication_flat['source.label'].isna())]\n",
    "publications_imported_by_Si[['label', 'category','informationContributor.displayName', 'source.label']].head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The *toolsandservices* dataset is filtered to individuate items not created by System importer."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>label</th>\n",
       "      <th>category</th>\n",
       "      <th>informationContributor.displayName</th>\n",
       "      <th>source.label</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1579</th>\n",
       "      <td>WebLicht</td>\n",
       "      <td>tool-or-service</td>\n",
       "      <td>Laure Barbot</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1619</th>\n",
       "      <td>WissKI</td>\n",
       "      <td>tool-or-service</td>\n",
       "      <td>Edward Gray</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1644</th>\n",
       "      <td>WorldCat</td>\n",
       "      <td>tool-or-service</td>\n",
       "      <td>Laure Barbot</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1656</th>\n",
       "      <td>XML to TEILex0</td>\n",
       "      <td>tool-or-service</td>\n",
       "      <td>Laure Barbot</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1669</th>\n",
       "      <td>YouTube</td>\n",
       "      <td>tool-or-service</td>\n",
       "      <td>Administrator</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               label         category informationContributor.displayName  \\\n",
       "1579        WebLicht  tool-or-service                       Laure Barbot   \n",
       "1619          WissKI  tool-or-service                        Edward Gray   \n",
       "1644        WorldCat  tool-or-service                       Laure Barbot   \n",
       "1656  XML to TEILex0  tool-or-service                       Laure Barbot   \n",
       "1669         YouTube  tool-or-service                      Administrator   \n",
       "\n",
       "     source.label  \n",
       "1579          NaN  \n",
       "1619          NaN  \n",
       "1644          NaN  \n",
       "1656          NaN  \n",
       "1669          NaN  "
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tools_imported_by_Si=df_tool_flat[(df_tool_flat['informationContributor.username']!='System importer') & (df_tool_flat['source.label'].isna())]\n",
    "tools_imported_by_Si[['label', 'category','informationContributor.displayName', 'source.label']].tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>label</th>\n",
       "      <th>category</th>\n",
       "      <th>informationContributor.displayName</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>271</th>\n",
       "      <td>Screencast: Processing Europeana Newspaper Col...</td>\n",
       "      <td>training-material</td>\n",
       "      <td>Laure Barbot</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>280</th>\n",
       "      <td>SSHOC League of Data</td>\n",
       "      <td>training-material</td>\n",
       "      <td>Administrator</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>281</th>\n",
       "      <td>SSHOC Webinar: CLARIN Hands-on Tutorial on Tra...</td>\n",
       "      <td>training-material</td>\n",
       "      <td>Martin Kirnbauer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>282</th>\n",
       "      <td>SSHOC webinar: Introducing the newly launched ...</td>\n",
       "      <td>training-material</td>\n",
       "      <td>Martin Kirnbauer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>227</th>\n",
       "      <td>OpenRefine to Wikibase: Data Upload Pipeline</td>\n",
       "      <td>training-material</td>\n",
       "      <td>Laure Barbot</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>COST Action 16111: ETHMIGSURVEYDATA Zenodo Com...</td>\n",
       "      <td>training-material</td>\n",
       "      <td>Martin Kirnbauer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>How to create a workflow in the SSH Open Marke...</td>\n",
       "      <td>workflow</td>\n",
       "      <td>Administrator</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Intertextuality phenomena in European drama hi...</td>\n",
       "      <td>workflow</td>\n",
       "      <td>Edward Gray</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                 label           category  \\\n",
       "271  Screencast: Processing Europeana Newspaper Col...  training-material   \n",
       "280                              SSHOC League of Data   training-material   \n",
       "281  SSHOC Webinar: CLARIN Hands-on Tutorial on Tra...  training-material   \n",
       "282  SSHOC webinar: Introducing the newly launched ...  training-material   \n",
       "227       OpenRefine to Wikibase: Data Upload Pipeline  training-material   \n",
       "56   COST Action 16111: ETHMIGSURVEYDATA Zenodo Com...  training-material   \n",
       "12   How to create a workflow in the SSH Open Marke...           workflow   \n",
       "15   Intertextuality phenomena in European drama hi...           workflow   \n",
       "\n",
       "    informationContributor.displayName  \n",
       "271                       Laure Barbot  \n",
       "280                      Administrator  \n",
       "281                   Martin Kirnbauer  \n",
       "282                   Martin Kirnbauer  \n",
       "227                       Laure Barbot  \n",
       "56                    Martin Kirnbauer  \n",
       "12                       Administrator  \n",
       "15                         Edward Gray  "
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_all_items=pd.concat([df_tool_flat, df_publication_flat, df_trainingmaterials_flat, df_workflows_flat, df_datasets_flat])\n",
    "item_imported_by_user=df_all_items[(df_all_items['informationContributor.username']!='System importer')& (df_all_items['source.label'].isna())]\n",
    "item_imported_by_user[['label', 'category','informationContributor.displayName']].sort_values('category').tail(8)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2. Non-redundancy\n",
    "\n",
    "the same entity should only be referenced once in the SSH Open Marketplace. Duplicate items are merged to ensure the coherence of the items showcased in the portal. \n",
    "\n",
    "### 2.1 Identification of the duplicates\n",
    "\n",
    "*Duplicates are individuated for every category by defining the attributes that should be inspected to identify equal items. In the next cell the function __getDuplicates(category, attributes)__ is invoked to get for every category the subset of items having the same value in the 'attribute' label, each set of duplicated items is stored in a variable*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_tool_duplicates=utils.getDuplicates(df_tool_flat, 'label')\n",
    "df_publication_duplicates=utils.getDuplicates(df_publication_flat, 'label')\n",
    "df_trainingmaterials_duplicates=utils.getDuplicates(df_trainingmaterials_flat, 'label')\n",
    "df_workflows_duplicates=utils.getDuplicates(df_workflows_flat, 'label')\n",
    "df_datasets_duplicates=utils.getDuplicates(df_datasets_flat, 'label')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2.1.1\n",
    "*The  sets of duplicated items can be inspected, in the next cell the number of duplicated items for every category is shown*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "There are: 0 duplicated tools, 4 duplicated publications, 4 duplicated training materials, 0 duplicated workflows, 232 duplicated datasets\n"
     ]
    }
   ],
   "source": [
    "print (f'There are: {df_tool_duplicates.shape[0]} duplicated tools, {df_publication_duplicates.shape[0]} duplicated publications,'\n",
    "       +f' {df_trainingmaterials_duplicates.shape[0]} duplicated training materials,'+\n",
    "      f' {df_workflows_duplicates.shape[0]} duplicated workflows,'+\n",
    "      f' {df_datasets_duplicates.shape[0]} duplicated datasets')\n",
    "    "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2.1.2\n",
    "\n",
    "*It's possible to see the values of some of the duplicated items. In the next cell there is a command to show 3 items of the dataset for duplicated tools.*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
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       "      <th>41</th>\n",
       "      <td>training-material/bD4Jl6</td>\n",
       "      <td>40412</td>\n",
       "      <td>training-material</td>\n",
       "      <td>Como instalei o Browsertrix no meu computador</td>\n",
       "      <td>bD4Jl6</td>\n",
       "      <td>2022-01-18T10:31:38+0000</td>\n",
       "      <td>approved</td>\n",
       "      <td>Guia de instalação do Browsertrix para não esp...</td>\n",
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       "      <td>[{'type': {'code': 'language', 'label': 'Langu...</td>\n",
       "      <td>...</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>training-material/KbYQxy</td>\n",
       "      <td>36300</td>\n",
       "      <td>training-material</td>\n",
       "      <td>ContextCapture tutorials</td>\n",
       "      <td>KbYQxy</td>\n",
       "      <td>2022-01-13T11:48:53+0000</td>\n",
       "      <td>approved</td>\n",
       "      <td>To get started with ContextCapture, we recomme...</td>\n",
       "      <td>[]</td>\n",
       "      <td>[{'type': {'code': 'language', 'label': 'Langu...</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3 rows × 46 columns</p>\n",
       "</div>"
      ],
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       "                       MPUrl     id           category  \\\n",
       "40  training-material/AzXNMy  40548  training-material   \n",
       "41  training-material/bD4Jl6  40412  training-material   \n",
       "50  training-material/KbYQxy  36300  training-material   \n",
       "\n",
       "                                            label persistentId  \\\n",
       "40  Como instalei o Browsertrix no meu computador       AzXNMy   \n",
       "41  Como instalei o Browsertrix no meu computador       bD4Jl6   \n",
       "50                       ContextCapture tutorials       KbYQxy   \n",
       "\n",
       "              lastInfoUpdate    status  \\\n",
       "40  2022-03-14T14:26:51+0000  approved   \n",
       "41  2022-01-18T10:31:38+0000  approved   \n",
       "50  2022-01-13T11:48:53+0000  approved   \n",
       "\n",
       "                                          description  \\\n",
       "40                    Browsertrix installation guide.   \n",
       "41  Guia de instalação do Browsertrix para não esp...   \n",
       "50  To get started with ContextCapture, we recomme...   \n",
       "\n",
       "                                         contributors  \\\n",
       "40  [{'actor': {'id': 9226, 'name': 'Arquivo.pt', ...   \n",
       "41  [{'actor': {'id': 9163, 'name': 'Ricardo Basíl...   \n",
       "50                                                 []   \n",
       "\n",
       "                                           properties  ...  \\\n",
       "40  [{'type': {'code': 'keyword', 'label': 'Keywor...  ...   \n",
       "41  [{'type': {'code': 'language', 'label': 'Langu...  ...   \n",
       "50  [{'type': {'code': 'language', 'label': 'Langu...  ...   \n",
       "\n",
       "   thumbnail.concept.vocabulary.code thumbnail.concept.vocabulary.scheme  \\\n",
       "40                               NaN                                 NaN   \n",
       "41                               NaN                                 NaN   \n",
       "50                               NaN                                 NaN   \n",
       "\n",
       "   thumbnail.concept.vocabulary.namespace thumbnail.concept.vocabulary.label  \\\n",
       "40                                    NaN                                NaN   \n",
       "41                                    NaN                                NaN   \n",
       "50                                    NaN                                NaN   \n",
       "\n",
       "   thumbnail.concept.vocabulary.closed  thumbnail.concept.label  \\\n",
       "40                                 NaN                      NaN   \n",
       "41                                 NaN                      NaN   \n",
       "50                                 NaN                      NaN   \n",
       "\n",
       "   thumbnail.concept.notation thumbnail.concept.uri  \\\n",
       "40                        NaN                   NaN   \n",
       "41                        NaN                   NaN   \n",
       "50                        NaN                   NaN   \n",
       "\n",
       "   thumbnail.concept.candidate thumbnail.info.filename  \n",
       "40                         NaN                     NaN  \n",
       "41                         NaN                     NaN  \n",
       "50                         NaN                     NaN  \n",
       "\n",
       "[3 rows x 46 columns]"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_trainingmaterials_duplicates.head(3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2.1.3\n",
    "\n",
    "*As shown in the section __0.2.1__ of this notebook every row in the table includes 30 different attributes, it may be useful to define a list of attributes and use it when showing the data. In the next cell a list of attributes is defined and used as visualization mask for 6 items in the duplicated tool dataset*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
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       "      <th></th>\n",
       "      <th>MPUrl</th>\n",
       "      <th>persistentId</th>\n",
       "      <th>label</th>\n",
       "      <th>description</th>\n",
       "      <th>source.label</th>\n",
       "      <th>accessibleAt</th>\n",
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       "  <tbody>\n",
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       "Empty DataFrame\n",
       "Columns: [MPUrl, persistentId, label, description, source.label, accessibleAt]\n",
       "Index: []"
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     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# the list of attributes\n",
    "vis_attr=['MPUrl', 'persistentId', 'label','description', 'source.label','accessibleAt']\n",
    "df_tool_duplicates[vis_attr].head(6)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "*The list of attributes can be applied to all sets of duplicated items, in the next two cells it is used to filter attributes in the set of duplicated workflows and training materials*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
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       "      <th></th>\n",
       "      <th>MPUrl</th>\n",
       "      <th>persistentId</th>\n",
       "      <th>label</th>\n",
       "      <th>description</th>\n",
       "      <th>source.label</th>\n",
       "      <th>accessibleAt</th>\n",
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       "Empty DataFrame\n",
       "Columns: [MPUrl, persistentId, label, description, source.label, accessibleAt]\n",
       "Index: []"
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     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "df_workflows_duplicates[vis_attr].head(6)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
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       "      <th>MPUrl</th>\n",
       "      <th>persistentId</th>\n",
       "      <th>label</th>\n",
       "      <th>description</th>\n",
       "      <th>source.label</th>\n",
       "      <th>accessibleAt</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>training-material/AzXNMy</td>\n",
       "      <td>AzXNMy</td>\n",
       "      <td>Como instalei o Browsertrix no meu computador</td>\n",
       "      <td>Browsertrix installation guide.</td>\n",
       "      <td>DARIAH contribution tool</td>\n",
       "      <td>[https://tinyurl.com/instalar-browsertrix]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>training-material/bD4Jl6</td>\n",
       "      <td>bD4Jl6</td>\n",
       "      <td>Como instalei o Browsertrix no meu computador</td>\n",
       "      <td>Guia de instalação do Browsertrix para não esp...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[https://tinyurl.com/instalar-browsertrix]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>training-material/KbYQxy</td>\n",
       "      <td>KbYQxy</td>\n",
       "      <td>ContextCapture tutorials</td>\n",
       "      <td>To get started with ContextCapture, we recomme...</td>\n",
       "      <td>SSK Zotero Resources</td>\n",
       "      <td>[https://www.acute3d.com/tutorials/]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>training-material/vySU0m</td>\n",
       "      <td>vySU0m</td>\n",
       "      <td>ContextCapture tutorials</td>\n",
       "      <td>To get started with ContextCapture, we recomme...</td>\n",
       "      <td>SSK Zotero Resources</td>\n",
       "      <td>[https://www.acute3d.com/tutorials/]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                       MPUrl persistentId  \\\n",
       "40  training-material/AzXNMy       AzXNMy   \n",
       "41  training-material/bD4Jl6       bD4Jl6   \n",
       "50  training-material/KbYQxy       KbYQxy   \n",
       "51  training-material/vySU0m       vySU0m   \n",
       "\n",
       "                                            label  \\\n",
       "40  Como instalei o Browsertrix no meu computador   \n",
       "41  Como instalei o Browsertrix no meu computador   \n",
       "50                       ContextCapture tutorials   \n",
       "51                       ContextCapture tutorials   \n",
       "\n",
       "                                          description  \\\n",
       "40                    Browsertrix installation guide.   \n",
       "41  Guia de instalação do Browsertrix para não esp...   \n",
       "50  To get started with ContextCapture, we recomme...   \n",
       "51  To get started with ContextCapture, we recomme...   \n",
       "\n",
       "                source.label                                accessibleAt  \n",
       "40  DARIAH contribution tool  [https://tinyurl.com/instalar-browsertrix]  \n",
       "41                       NaN  [https://tinyurl.com/instalar-browsertrix]  \n",
       "50      SSK Zotero Resources        [https://www.acute3d.com/tutorials/]  \n",
       "51      SSK Zotero Resources        [https://www.acute3d.com/tutorials/]  "
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_trainingmaterials_duplicates[vis_attr].head(6)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3. Completeness & metadata quality\n",
    "\n",
    "We want to know how complete the SSH Open Marketplace dataset is, i.e. what is the level of quality of metadata describing the items populating the Marketplace.\n",
    "As the data model of the Marketplace differentiates between attributes and properties, we want to mix these two different fields in the overview provided in this section.\n",
    "\n",
    "### 3.1 Null values"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3.1.1 Null values in attributes by item types\n",
    "*There are a number of functions for null values. The function __getNullValues()__ returns a table where the columns are the category and the rows are the attributes. The number in the cell individuated by an attribute and a category indicates how many null values there are in that category for the attribute. The function calculates the table for all the categories downloaded in the notebook. In this sepcific case all datasets downloaded in section __0.2__. The next cell gets the null values and shows them* "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/cesare/eclipse-workspace/mplib/sshoccurationprod/sshmarketplacelib/helper.py:485: FutureWarning: Passing 'suffixes' which cause duplicate columns {'ts_persistentId_x'} in the result is deprecated and will raise a MergeError in a future version.\n",
      "  df_items=pd.merge(df_items, df_prop_data_tmp, left_on='persistentId',right_on='ts_persistentId', how = 'outer').fillna(np.nan)\n"
     ]
    },
    {
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       "    <tr>\n",
       "      <th>informationContributor.username</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>label</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>lastInfoUpdate</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>media</th>\n",
       "      <td>1229</td>\n",
       "      <td>2949</td>\n",
       "      <td>444</td>\n",
       "      <td>243</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>persistentId</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>properties</th>\n",
       "      <td>37</td>\n",
       "      <td>6</td>\n",
       "      <td>55</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>relatedItems</th>\n",
       "      <td>1230</td>\n",
       "      <td>2780</td>\n",
       "      <td>1478</td>\n",
       "      <td>308</td>\n",
       "      <td>27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>source.id</th>\n",
       "      <td>4</td>\n",
       "      <td>7</td>\n",
       "      <td>127</td>\n",
       "      <td>30</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>source.label</th>\n",
       "      <td>4</td>\n",
       "      <td>7</td>\n",
       "      <td>127</td>\n",
       "      <td>30</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>source.url</th>\n",
       "      <td>4</td>\n",
       "      <td>7</td>\n",
       "      <td>127</td>\n",
       "      <td>30</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "category                                 dataset  publication  \\\n",
       "property: missed values                                         \n",
       "accessibleAt                                   4           20   \n",
       "composedOf                                  1234         2953   \n",
       "concept.candidate                             67           53   \n",
       "concept.code                                  67           53   \n",
       "concept.definition                          1232         2950   \n",
       "concept.label                                 67           53   \n",
       "concept.notation                            1229         2948   \n",
       "concept.uri                                   67           53   \n",
       "concept.vocabulary.closed                     67           53   \n",
       "concept.vocabulary.code                       67           53   \n",
       "concept.vocabulary.label                      67           53   \n",
       "concept.vocabulary.namespace                  67           53   \n",
       "concept.vocabulary.scheme                     67           53   \n",
       "contributors                                 926           68   \n",
       "dateCreated                                 1232         2951   \n",
       "dateLastUpdated                              931         2953   \n",
       "description                                    0         2856   \n",
       "externalIds                                 1216         2915   \n",
       "id                                             0            0   \n",
       "informationContributor.config                  0            0   \n",
       "informationContributor.displayName             0            0   \n",
       "informationContributor.id                      0            0   \n",
       "informationContributor.registrationDate        0            0   \n",
       "informationContributor.role                    0            0   \n",
       "informationContributor.status                  0            0   \n",
       "informationContributor.username                0            0   \n",
       "label                                          0            0   \n",
       "lastInfoUpdate                                 0            0   \n",
       "media                                       1229         2949   \n",
       "persistentId                                   0            0   \n",
       "properties                                    37            6   \n",
       "relatedItems                                1230         2780   \n",
       "source.id                                      4            7   \n",
       "source.label                                   4            7   \n",
       "source.url                                     4            7   \n",
       "\n",
       "category                                 tool-or-service  training-material  \\\n",
       "property: missed values                                                       \n",
       "accessibleAt                                         478                 14   \n",
       "composedOf                                          1687                405   \n",
       "concept.candidate                                     63                  1   \n",
       "concept.code                                          63                  1   \n",
       "concept.definition                                  1518                377   \n",
       "concept.label                                         63                  1   \n",
       "concept.notation                                     644                252   \n",
       "concept.uri                                           63                  1   \n",
       "concept.vocabulary.closed                             63                  1   \n",
       "concept.vocabulary.code                               63                  1   \n",
       "concept.vocabulary.label                              63                  1   \n",
       "concept.vocabulary.namespace                          63                  1   \n",
       "concept.vocabulary.scheme                             63                  1   \n",
       "contributors                                         209                 56   \n",
       "dateCreated                                         1687                123   \n",
       "dateLastUpdated                                     1687                235   \n",
       "description                                           53                 23   \n",
       "externalIds                                         1520                190   \n",
       "id                                                     0                  0   \n",
       "informationContributor.config                          0                  0   \n",
       "informationContributor.displayName                     0                  0   \n",
       "informationContributor.id                              0                  0   \n",
       "informationContributor.registrationDate                0                  0   \n",
       "informationContributor.role                            0                  0   \n",
       "informationContributor.status                          0                  0   \n",
       "informationContributor.username                        0                  0   \n",
       "label                                                  0                  0   \n",
       "lastInfoUpdate                                         0                  0   \n",
       "media                                                444                243   \n",
       "persistentId                                           0                  0   \n",
       "properties                                            55                  0   \n",
       "relatedItems                                        1478                308   \n",
       "source.id                                            127                 30   \n",
       "source.label                                         127                 30   \n",
       "source.url                                           127                 30   \n",
       "\n",
       "category                                 workflow  \n",
       "property: missed values                            \n",
       "accessibleAt                                    2  \n",
       "composedOf                                      0  \n",
       "concept.candidate                               0  \n",
       "concept.code                                    0  \n",
       "concept.definition                             18  \n",
       "concept.label                                   0  \n",
       "concept.notation                                9  \n",
       "concept.uri                                     0  \n",
       "concept.vocabulary.closed                       0  \n",
       "concept.vocabulary.code                         0  \n",
       "concept.vocabulary.label                        0  \n",
       "concept.vocabulary.namespace                    0  \n",
       "concept.vocabulary.scheme                       0  \n",
       "contributors                                    0  \n",
       "dateCreated                                    27  \n",
       "dateLastUpdated                                27  \n",
       "description                                     1  \n",
       "externalIds                                    27  \n",
       "id                                              0  \n",
       "informationContributor.config                   0  \n",
       "informationContributor.displayName              0  \n",
       "informationContributor.id                       0  \n",
       "informationContributor.registrationDate         0  \n",
       "informationContributor.role                     0  \n",
       "informationContributor.status                   0  \n",
       "informationContributor.username                 0  \n",
       "label                                           0  \n",
       "lastInfoUpdate                                  0  \n",
       "media                                           2  \n",
       "persistentId                                    0  \n",
       "properties                                      0  \n",
       "relatedItems                                   27  \n",
       "source.id                                       2  \n",
       "source.label                                    2  \n",
       "source.url                                      2  "
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_null_values=utils.getNullValues()\n",
    "df_null_values[0].head(35)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3.1.2\n",
    "*The function __getNullValues(attributes)__ returns a table where the columns are the categories and the rows are the attributes listed in the invocation.  The list of attributes should contain 1 or more attribute name separated by ','.\n",
    "The number in the cell individuated by an attribute and a category indicates how many null values there are in that category for the attribute.  \n",
    "The function calculates the table for all the dataset downloaded in the notebook. In this sepcific case all datasets downloaded in section __0.2__. The next cell searches for null values of properties: accessibleAt, description, contributors and relatedItems.* "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/cesare/eclipse-workspace/mplib/sshoccurationprod/sshmarketplacelib/helper.py:485: FutureWarning: Passing 'suffixes' which cause duplicate columns {'ts_persistentId_x'} in the result is deprecated and will raise a MergeError in a future version.\n",
      "  df_items=pd.merge(df_items, df_prop_data_tmp, left_on='persistentId',right_on='ts_persistentId', how = 'outer').fillna(np.nan)\n",
      "/Users/cesare/eclipse-workspace/mplib/sshoccurationprod/sshmarketplacelib/helper.py:498: FutureWarning: Passing 'suffixes' which cause duplicate columns {'ts_persistentId_x'} in the result is deprecated and will raise a MergeError in a future version.\n",
      "  df_items=pd.merge(left=df_items, right=tmp, left_on='persistentId', right_on='ts_persistentId', how = 'outer').fillna(np.nan)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>category</th>\n",
       "      <th>dataset</th>\n",
       "      <th>publication</th>\n",
       "      <th>tool-or-service</th>\n",
       "      <th>training-material</th>\n",
       "      <th>workflow</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>property: missed values</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>accessibleAt</th>\n",
       "      <td>4</td>\n",
       "      <td>20</td>\n",
       "      <td>478</td>\n",
       "      <td>14</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>contributors</th>\n",
       "      <td>926</td>\n",
       "      <td>68</td>\n",
       "      <td>209</td>\n",
       "      <td>56</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>relatedItems</th>\n",
       "      <td>1230</td>\n",
       "      <td>2780</td>\n",
       "      <td>1478</td>\n",
       "      <td>308</td>\n",
       "      <td>27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>description</th>\n",
       "      <td>0</td>\n",
       "      <td>2856</td>\n",
       "      <td>53</td>\n",
       "      <td>23</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>discipline</th>\n",
       "      <td>1229</td>\n",
       "      <td>2949</td>\n",
       "      <td>1595</td>\n",
       "      <td>259</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>keyword</th>\n",
       "      <td>88</td>\n",
       "      <td>2945</td>\n",
       "      <td>269</td>\n",
       "      <td>63</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "category                 dataset  publication  tool-or-service  \\\n",
       "property: missed values                                          \n",
       "accessibleAt                   4           20              478   \n",
       "contributors                 926           68              209   \n",
       "relatedItems                1230         2780             1478   \n",
       "description                    0         2856               53   \n",
       "discipline                  1229         2949             1595   \n",
       "keyword                       88         2945              269   \n",
       "\n",
       "category                 training-material  workflow  \n",
       "property: missed values                               \n",
       "accessibleAt                            14         2  \n",
       "contributors                            56         0  \n",
       "relatedItems                           308        27  \n",
       "description                             23         1  \n",
       "discipline                             259        17  \n",
       "keyword                                 63         8  "
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_nullpart_values=utils.getNullValues('accessibleAt, contributors, relatedItems, description, discipline, keyword')\n",
    "df_nullpart_values[0].head(6)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3.1.3\n",
    "\n",
    "*The function __getItemsWithNullValues(props, all)__ returns all items where the properties indicated in the list have null values.  \n",
    "In the next cell:*\n",
    "\n",
    "<ol>\n",
    "    <li> <i>the function is invoked to get all items where the accessibleAt, contributors and relatedItems have null values, the parameter True means that all the attributes/properties in the list must be null in an item</i></li>\n",
    "    <li> <i>the visualization mask is defined</i></li>\n",
    "    <li> <i>some items are shown</i></li>\n",
    "    </ol>\n",
    "  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>MPUrl</th>\n",
       "      <th>persistentId</th>\n",
       "      <th>category</th>\n",
       "      <th>label</th>\n",
       "      <th>source.label</th>\n",
       "      <th>accessibleAt</th>\n",
       "      <th>contributors</th>\n",
       "      <th>relatedItems</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>4956</th>\n",
       "      <td>training-material/m6qr2d</td>\n",
       "      <td>m6qr2d</td>\n",
       "      <td>training-material</td>\n",
       "      <td>Training Professionals Network</td>\n",
       "      <td>SSHopencloud Service Catalogue</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5141</th>\n",
       "      <td>dataset/u11tRS</td>\n",
       "      <td>u11tRS</td>\n",
       "      <td>dataset</td>\n",
       "      <td>Audio Transcript Data</td>\n",
       "      <td>SSHopencloud Service Catalogue</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5625</th>\n",
       "      <td>dataset/s5Myph</td>\n",
       "      <td>s5Myph</td>\n",
       "      <td>dataset</td>\n",
       "      <td>Hungarian Sign Language Corpus</td>\n",
       "      <td>CLARIN Resource Families</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5664</th>\n",
       "      <td>dataset/gMaWvn</td>\n",
       "      <td>gMaWvn</td>\n",
       "      <td>dataset</td>\n",
       "      <td>Korpusbasierte Analyse österreichischer Parlam...</td>\n",
       "      <td>CLARIN Resource Families</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5947</th>\n",
       "      <td>dataset/Cdyq3J</td>\n",
       "      <td>Cdyq3J</td>\n",
       "      <td>dataset</td>\n",
       "      <td>Signs of Ireland</td>\n",
       "      <td>CLARIN Resource Families</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                         MPUrl persistentId           category  \\\n",
       "4956  training-material/m6qr2d       m6qr2d  training-material   \n",
       "5141            dataset/u11tRS       u11tRS            dataset   \n",
       "5625            dataset/s5Myph       s5Myph            dataset   \n",
       "5664            dataset/gMaWvn       gMaWvn            dataset   \n",
       "5947            dataset/Cdyq3J       Cdyq3J            dataset   \n",
       "\n",
       "                                                  label  \\\n",
       "4956                     Training Professionals Network   \n",
       "5141                              Audio Transcript Data   \n",
       "5625                     Hungarian Sign Language Corpus   \n",
       "5664  Korpusbasierte Analyse österreichischer Parlam...   \n",
       "5947                                   Signs of Ireland   \n",
       "\n",
       "                        source.label accessibleAt contributors relatedItems  \n",
       "4956  SSHopencloud Service Catalogue          NaN          NaN          NaN  \n",
       "5141  SSHopencloud Service Catalogue          NaN          NaN          NaN  \n",
       "5625        CLARIN Resource Families          NaN          NaN          NaN  \n",
       "5664        CLARIN Resource Families          NaN          NaN          NaN  \n",
       "5947        CLARIN Resource Families          NaN          NaN          NaN  "
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#1\n",
    "df_items_null_values=utils.getItemsWithNullValues('accessibleAt, contributors, relatedItems', True)\n",
    "#2\n",
    "vis_items_mask=['MPUrl', 'persistentId', 'category', 'label', 'source.label','accessibleAt','contributors', 'relatedItems']\n",
    "#3\n",
    "df_items_null_values[vis_items_mask].tail()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3.1.3.1\n",
    "\n",
    "*The variable df_items_null_values contains the list of items where the values for accessibleAt, contributors and relatedItems are all null, we can inspect the dataset.  \n",
    "How many items are in the dataset?  \n",
    "The cell below prints the number of items in the dataset*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " There are 17 items where the values in attributes accessibleAt, contributors, relatedItems are null \n",
      "\n"
     ]
    }
   ],
   "source": [
    "\n",
    "print (f'\\n There are {df_items_null_values.shape[0]} items where the values in attributes accessibleAt, contributors, relatedItems are null \\n')\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "*What are the sources?*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "source.label\n",
       "CLARIN Resource Families           3\n",
       "SSHopencloud Service Catalogue    10\n",
       "TAPoR                              1\n",
       "The Programming Historian          1\n",
       "Name: label, dtype: int64"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test=df_items_null_values.groupby('source.label').count()['label']\n",
    "test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style type=\"text/css\">\n",
       "</style>\n",
       "<table id=\"T_9718a_\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th class=\"blank level0\" >&nbsp;</th>\n",
       "      <th class=\"col_heading level0 col0\" >MPUrl</th>\n",
       "      <th class=\"col_heading level0 col1\" >category</th>\n",
       "      <th class=\"col_heading level0 col2\" >source.label</th>\n",
       "      <th class=\"col_heading level0 col3\" >label</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th id=\"T_9718a_level0_row0\" class=\"row_heading level0 row0\" >20</th>\n",
       "      <td id=\"T_9718a_row0_col0\" class=\"data row0 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/nMm0wM\">tool-or-service/nMm0wM</a></td>\n",
       "      <td id=\"T_9718a_row0_col1\" class=\"data row0 col1\" >tool-or-service</td>\n",
       "      <td id=\"T_9718a_row0_col2\" class=\"data row0 col2\" >nan</td>\n",
       "      <td id=\"T_9718a_row0_col3\" class=\"data row0 col3\" >Adobe Acrobat Reader</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_9718a_level0_row1\" class=\"row_heading level0 row1\" >74</th>\n",
       "      <td id=\"T_9718a_row1_col0\" class=\"data row1 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/CqCK1n\">tool-or-service/CqCK1n</a></td>\n",
       "      <td id=\"T_9718a_row1_col1\" class=\"data row1 col1\" >tool-or-service</td>\n",
       "      <td id=\"T_9718a_row1_col2\" class=\"data row1 col2\" >SSHopencloud Service Catalogue</td>\n",
       "      <td id=\"T_9718a_row1_col3\" class=\"data row1 col3\" >API for Generations and Gender Programme (GGP) </td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_9718a_level0_row2\" class=\"row_heading level0 row2\" >95</th>\n",
       "      <td id=\"T_9718a_row2_col0\" class=\"data row2 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/wLzD4H\">tool-or-service/wLzD4H</a></td>\n",
       "      <td id=\"T_9718a_row2_col1\" class=\"data row2 col1\" >tool-or-service</td>\n",
       "      <td id=\"T_9718a_row2_col2\" class=\"data row2 col2\" >SSHopencloud Service Catalogue</td>\n",
       "      <td id=\"T_9718a_row2_col3\" class=\"data row2 col3\" >Audio Survey Module Questionnaire and Fieldwork Implementation Guideline</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_9718a_level0_row3\" class=\"row_heading level0 row3\" >230</th>\n",
       "      <td id=\"T_9718a_row3_col0\" class=\"data row3 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/m5jJ5s\">tool-or-service/m5jJ5s</a></td>\n",
       "      <td id=\"T_9718a_row3_col1\" class=\"data row3 col1\" >tool-or-service</td>\n",
       "      <td id=\"T_9718a_row3_col2\" class=\"data row3 col2\" >SSHopencloud Service Catalogue</td>\n",
       "      <td id=\"T_9718a_row3_col3\" class=\"data row3 col3\" >Code for data exchange between TMT and open source CAT software</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_9718a_level0_row4\" class=\"row_heading level0 row4\" >330</th>\n",
       "      <td id=\"T_9718a_row4_col0\" class=\"data row4 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/8lXz8g\">tool-or-service/8lXz8g</a></td>\n",
       "      <td id=\"T_9718a_row4_col1\" class=\"data row4 col1\" >tool-or-service</td>\n",
       "      <td id=\"T_9718a_row4_col2\" class=\"data row4 col2\" >SSHopencloud Service Catalogue</td>\n",
       "      <td id=\"T_9718a_row4_col3\" class=\"data row4 col3\" >Data Confidentiality Schema for Sensitive Data</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_9718a_level0_row5\" class=\"row_heading level0 row5\" >427</th>\n",
       "      <td id=\"T_9718a_row5_col0\" class=\"data row5 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/9McIgG\">tool-or-service/9McIgG</a></td>\n",
       "      <td id=\"T_9718a_row5_col1\" class=\"data row5 col1\" >tool-or-service</td>\n",
       "      <td id=\"T_9718a_row5_col2\" class=\"data row5 col2\" >SSHopencloud Service Catalogue</td>\n",
       "      <td id=\"T_9718a_row5_col3\" class=\"data row5 col3\" >ERAN Pilot: Specifications for Secure Remote Access to Sensitive Research Data </td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_9718a_level0_row6\" class=\"row_heading level0 row6\" >496</th>\n",
       "      <td id=\"T_9718a_row6_col0\" class=\"data row6 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/a47VVu\">tool-or-service/a47VVu</a></td>\n",
       "      <td id=\"T_9718a_row6_col1\" class=\"data row6 col1\" >tool-or-service</td>\n",
       "      <td id=\"T_9718a_row6_col2\" class=\"data row6 col2\" >SSHopencloud Service Catalogue</td>\n",
       "      <td id=\"T_9718a_row6_col3\" class=\"data row6 col3\" >Framework for data use agreement</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_9718a_level0_row7\" class=\"row_heading level0 row7\" >666</th>\n",
       "      <td id=\"T_9718a_row7_col0\" class=\"data row7 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/NvN0y8\">tool-or-service/NvN0y8</a></td>\n",
       "      <td id=\"T_9718a_row7_col1\" class=\"data row7 col1\" >tool-or-service</td>\n",
       "      <td id=\"T_9718a_row7_col2\" class=\"data row7 col2\" >TAPoR</td>\n",
       "      <td id=\"T_9718a_row7_col3\" class=\"data row7 col3\" >iTunesCyrFix</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_9718a_level0_row8\" class=\"row_heading level0 row8\" >778</th>\n",
       "      <td id=\"T_9718a_row8_col0\" class=\"data row8 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/2KpJe6\">tool-or-service/2KpJe6</a></td>\n",
       "      <td id=\"T_9718a_row8_col1\" class=\"data row8 col1\" >tool-or-service</td>\n",
       "      <td id=\"T_9718a_row8_col2\" class=\"data row8 col2\" >SSHopencloud Service Catalogue</td>\n",
       "      <td id=\"T_9718a_row8_col3\" class=\"data row8 col3\" >Making Data Findable by being Citable - Tools</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_9718a_level0_row9\" class=\"row_heading level0 row9\" >1261</th>\n",
       "      <td id=\"T_9718a_row9_col0\" class=\"data row9 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/tsbNWP\">tool-or-service/tsbNWP</a></td>\n",
       "      <td id=\"T_9718a_row9_col1\" class=\"data row9 col1\" >tool-or-service</td>\n",
       "      <td id=\"T_9718a_row9_col2\" class=\"data row9 col2\" >SSHopencloud Service Catalogue</td>\n",
       "      <td id=\"T_9718a_row9_col3\" class=\"data row9 col3\" >SSH GDPR Code of Conduct</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_9718a_level0_row10\" class=\"row_heading level0 row10\" >1343</th>\n",
       "      <td id=\"T_9718a_row10_col0\" class=\"data row10 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/Zztxus\">tool-or-service/Zztxus</a></td>\n",
       "      <td id=\"T_9718a_row10_col1\" class=\"data row10 col1\" >tool-or-service</td>\n",
       "      <td id=\"T_9718a_row10_col2\" class=\"data row10 col2\" >nan</td>\n",
       "      <td id=\"T_9718a_row10_col3\" class=\"data row10 col3\" >test vocabularies</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_9718a_level0_row11\" class=\"row_heading level0 row11\" >4859</th>\n",
       "      <td id=\"T_9718a_row11_col0\" class=\"data row11 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/training-material/BvZp6o\">training-material/BvZp6o</a></td>\n",
       "      <td id=\"T_9718a_row11_col1\" class=\"data row11 col1\" >training-material</td>\n",
       "      <td id=\"T_9718a_row11_col2\" class=\"data row11 col2\" >The Programming Historian</td>\n",
       "      <td id=\"T_9718a_row11_col3\" class=\"data row11 col3\" >OCR with Tesseract and ScanTailor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_9718a_level0_row12\" class=\"row_heading level0 row12\" >4956</th>\n",
       "      <td id=\"T_9718a_row12_col0\" class=\"data row12 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/training-material/m6qr2d\">training-material/m6qr2d</a></td>\n",
       "      <td id=\"T_9718a_row12_col1\" class=\"data row12 col1\" >training-material</td>\n",
       "      <td id=\"T_9718a_row12_col2\" class=\"data row12 col2\" >SSHopencloud Service Catalogue</td>\n",
       "      <td id=\"T_9718a_row12_col3\" class=\"data row12 col3\" >Training Professionals Network</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_9718a_level0_row13\" class=\"row_heading level0 row13\" >5141</th>\n",
       "      <td id=\"T_9718a_row13_col0\" class=\"data row13 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/dataset/u11tRS\">dataset/u11tRS</a></td>\n",
       "      <td id=\"T_9718a_row13_col1\" class=\"data row13 col1\" >dataset</td>\n",
       "      <td id=\"T_9718a_row13_col2\" class=\"data row13 col2\" >SSHopencloud Service Catalogue</td>\n",
       "      <td id=\"T_9718a_row13_col3\" class=\"data row13 col3\" >Audio Transcript Data</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_9718a_level0_row14\" class=\"row_heading level0 row14\" >5625</th>\n",
       "      <td id=\"T_9718a_row14_col0\" class=\"data row14 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/dataset/s5Myph\">dataset/s5Myph</a></td>\n",
       "      <td id=\"T_9718a_row14_col1\" class=\"data row14 col1\" >dataset</td>\n",
       "      <td id=\"T_9718a_row14_col2\" class=\"data row14 col2\" >CLARIN Resource Families</td>\n",
       "      <td id=\"T_9718a_row14_col3\" class=\"data row14 col3\" >Hungarian Sign Language Corpus</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_9718a_level0_row15\" class=\"row_heading level0 row15\" >5664</th>\n",
       "      <td id=\"T_9718a_row15_col0\" class=\"data row15 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/dataset/gMaWvn\">dataset/gMaWvn</a></td>\n",
       "      <td id=\"T_9718a_row15_col1\" class=\"data row15 col1\" >dataset</td>\n",
       "      <td id=\"T_9718a_row15_col2\" class=\"data row15 col2\" >CLARIN Resource Families</td>\n",
       "      <td id=\"T_9718a_row15_col3\" class=\"data row15 col3\" >Korpusbasierte Analyse österreichischer Parlamentsreden</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_9718a_level0_row16\" class=\"row_heading level0 row16\" >5947</th>\n",
       "      <td id=\"T_9718a_row16_col0\" class=\"data row16 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/dataset/Cdyq3J\">dataset/Cdyq3J</a></td>\n",
       "      <td id=\"T_9718a_row16_col1\" class=\"data row16 col1\" >dataset</td>\n",
       "      <td id=\"T_9718a_row16_col2\" class=\"data row16 col2\" >CLARIN Resource Families</td>\n",
       "      <td id=\"T_9718a_row16_col3\" class=\"data row16 col3\" >Signs of Ireland</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x1598263e0>"
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rend_nv_table_df=df_items_null_values[['MPUrl', 'category', 'source.label','label']]\n",
    "clickable_nv_table = rend_nv_table_df.style.format({'MPUrl': utils.make_clickable})\n",
    "clickable_nv_table"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3.1.3.2 - Coverage of *recommended* attributes/dynamic properties\n",
    "\n",
    "The following shows how values for the recomennded properties are distributed in categories\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [],
   "source": [
    "recommended_ts='accessibleAt, contributors, externalIds, media, relatedItems, version, activity, keyword, discipline, language, tool-family, mode-of-use, intended-audience, see-also, user-manual-url, helpdesk-url, license, terms-of-use-url, technology-readiness-level'\n",
    "recommended_ts_mask=['persistentId', 'MPUrl', 'label','accessibleAt', 'contributors', 'externalIds', 'media', 'relatedItems', 'version', 'activity', 'keyword', 'discipline', 'language', 'tool-family', 'mode-of-use', 'intended-audience', 'see-also', 'user-manual-url', 'helpdesk-url', 'license', 'terms-of-use-url', 'technology-readiness-level']\n",
    "\n",
    "df_items_null_values=utils.getItemsWithNullValues(recommended_ts, False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Coverage for Category and Source Providers"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [],
   "source": [
    "source_provider_label='TAPoR'\n",
    "df_items_null_values_sp=df_items_null_values[(df_items_null_values['source.label']==source_provider_label) & (df_items_null_values['category']=='tool-or-service')]\n",
    "\n",
    "df_coverage_sp=df_items_null_values_sp.loc[ : ,recommended_ts_mask]\n",
    "#df.loc[df['A'] > 2, 'B'] = new_val\n",
    "df_coverage_sp['value']=df_coverage_sp.isnull().sum(axis=1)\n",
    "#df_coverage_sp.loc[:,'value']=df_coverage_sp.isnull().sum(axis=1)\n",
    "#df_coverage_sp_up=df_coverage_sp[['MPUrl', 'persistentId', 'label', 'value']] \n",
    "labels_sp=df_coverage_sp[['MPUrl', 'persistentId', 'label', 'value']].groupby('value').count()['label']\n",
    "\n",
    "\n",
    "#labels_sp.shape\n",
    "#df_coverage_sp.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "ax = fig.add_axes([0,0,1,1])\n",
    "ax.axis('equal')\n",
    "explode = [0.3,0.3,0.3,0.3,0.3,0.3,0.3,0.3,0.3,0.3,0.3]\n",
    "\n",
    "ax.pie(labels_sp.values, labels = labels_sp.index,   autopct='%1.2f%%', radius = 2)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Coverage for all Tools or Services "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_items_null_values=utils.getItemsWithNullValues(recommended_ts, False)\n",
    "df_items_null_values=df_items_null_values[df_items_null_values.category=='tool-or-service']\n",
    "df_coverage=df_items_null_values.loc[ : ,recommended_ts_mask]\n",
    "df_coverage['value']=df_coverage.isnull().sum(axis=1)\n",
    "#df_coverage.isnull().sum(axis=1)\n",
    "df_coverage_up=df_coverage[['MPUrl', 'persistentId', 'label', 'value']] "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "#xMeq9F\n",
    "#df_items_null_values[recommended_ts_mask].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "labels=df_coverage_up.groupby('value').count()['label']\n",
    "\n",
    "test=labels[labels.values>11]\n",
    "\n",
    "#labels.shape\n",
    "\n",
    "#print(labels)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "ax = fig.add_axes([0,0,1,1])\n",
    "ax.axis('equal')\n",
    "explode = [0.3,0.3,0.3,0.3,0.3,0.3,0.3,0.3,0.3,0.3,0.3]\n",
    "\n",
    "ax.pie(labels.values, labels = labels.index,   autopct='%1.2f%%', radius = 2)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### List of tools or services with a specific number of null values in recommended properties"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style type=\"text/css\">\n",
       "</style>\n",
       "<table id=\"T_f8cef_\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th class=\"blank level0\" >&nbsp;</th>\n",
       "      <th class=\"col_heading level0 col0\" >MPUrl</th>\n",
       "      <th class=\"col_heading level0 col1\" >persistentId</th>\n",
       "      <th class=\"col_heading level0 col2\" >label</th>\n",
       "      <th class=\"col_heading level0 col3\" >value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row0\" class=\"row_heading level0 row0\" >3</th>\n",
       "      <td id=\"T_f8cef_row0_col0\" class=\"data row0 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/uFIMPQ\">tool-or-service/uFIMPQ</a></td>\n",
       "      <td id=\"T_f8cef_row0_col1\" class=\"data row0 col1\" >uFIMPQ</td>\n",
       "      <td id=\"T_f8cef_row0_col2\" class=\"data row0 col2\" >3DHOP: 3D Heritage Online Presenter</td>\n",
       "      <td id=\"T_f8cef_row0_col3\" class=\"data row0 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row1\" class=\"row_heading level0 row1\" >6</th>\n",
       "      <td id=\"T_f8cef_row1_col0\" class=\"data row1 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/zrfCly\">tool-or-service/zrfCly</a></td>\n",
       "      <td id=\"T_f8cef_row1_col1\" class=\"data row1 col1\" >zrfCly</td>\n",
       "      <td id=\"T_f8cef_row1_col2\" class=\"data row1 col2\" >3DVIA Virtools</td>\n",
       "      <td id=\"T_f8cef_row1_col3\" class=\"data row1 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row2\" class=\"row_heading level0 row2\" >21</th>\n",
       "      <td id=\"T_f8cef_row2_col0\" class=\"data row2 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/U6hzqf\">tool-or-service/U6hzqf</a></td>\n",
       "      <td id=\"T_f8cef_row2_col1\" class=\"data row2 col1\" >U6hzqf</td>\n",
       "      <td id=\"T_f8cef_row2_col2\" class=\"data row2 col2\" >Adobe After Effects</td>\n",
       "      <td id=\"T_f8cef_row2_col3\" class=\"data row2 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row3\" class=\"row_heading level0 row3\" >25</th>\n",
       "      <td id=\"T_f8cef_row3_col0\" class=\"data row3 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/aeQ2f6\">tool-or-service/aeQ2f6</a></td>\n",
       "      <td id=\"T_f8cef_row3_col1\" class=\"data row3 col1\" >aeQ2f6</td>\n",
       "      <td id=\"T_f8cef_row3_col2\" class=\"data row3 col2\" >Adobe InDesign</td>\n",
       "      <td id=\"T_f8cef_row3_col3\" class=\"data row3 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row4\" class=\"row_heading level0 row4\" >26</th>\n",
       "      <td id=\"T_f8cef_row4_col0\" class=\"data row4 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/E34Hob\">tool-or-service/E34Hob</a></td>\n",
       "      <td id=\"T_f8cef_row4_col1\" class=\"data row4 col1\" >E34Hob</td>\n",
       "      <td id=\"T_f8cef_row4_col2\" class=\"data row4 col2\" >Adobe Photoshop</td>\n",
       "      <td id=\"T_f8cef_row4_col3\" class=\"data row4 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row5\" class=\"row_heading level0 row5\" >39</th>\n",
       "      <td id=\"T_f8cef_row5_col0\" class=\"data row5 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/AB57Ny\">tool-or-service/AB57Ny</a></td>\n",
       "      <td id=\"T_f8cef_row5_col1\" class=\"data row5 col1\" >AB57Ny</td>\n",
       "      <td id=\"T_f8cef_row5_col2\" class=\"data row5 col2\" >aLTAG3D - a Long Term Archive Generator for 3D</td>\n",
       "      <td id=\"T_f8cef_row5_col3\" class=\"data row5 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row6\" class=\"row_heading level0 row6\" >55</th>\n",
       "      <td id=\"T_f8cef_row6_col0\" class=\"data row6 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/gKEK3M\">tool-or-service/gKEK3M</a></td>\n",
       "      <td id=\"T_f8cef_row6_col1\" class=\"data row6 col1\" >gKEK3M</td>\n",
       "      <td id=\"T_f8cef_row6_col2\" class=\"data row6 col2\" >AnnotateIt</td>\n",
       "      <td id=\"T_f8cef_row6_col3\" class=\"data row6 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row7\" class=\"row_heading level0 row7\" >68</th>\n",
       "      <td id=\"T_f8cef_row7_col0\" class=\"data row7 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/r43yWg\">tool-or-service/r43yWg</a></td>\n",
       "      <td id=\"T_f8cef_row7_col1\" class=\"data row7 col1\" >r43yWg</td>\n",
       "      <td id=\"T_f8cef_row7_col2\" class=\"data row7 col2\" >Apache OpenNLP</td>\n",
       "      <td id=\"T_f8cef_row7_col3\" class=\"data row7 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row8\" class=\"row_heading level0 row8\" >70</th>\n",
       "      <td id=\"T_f8cef_row8_col0\" class=\"data row8 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/7PyEBu\">tool-or-service/7PyEBu</a></td>\n",
       "      <td id=\"T_f8cef_row8_col1\" class=\"data row8 col1\" >7PyEBu</td>\n",
       "      <td id=\"T_f8cef_row8_col2\" class=\"data row8 col2\" >Apache Stanbol</td>\n",
       "      <td id=\"T_f8cef_row8_col3\" class=\"data row8 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row9\" class=\"row_heading level0 row9\" >88</th>\n",
       "      <td id=\"T_f8cef_row9_col0\" class=\"data row9 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/TmiBJ7\">tool-or-service/TmiBJ7</a></td>\n",
       "      <td id=\"T_f8cef_row9_col1\" class=\"data row9 col1\" >TmiBJ7</td>\n",
       "      <td id=\"T_f8cef_row9_col2\" class=\"data row9 col2\" >AskSam</td>\n",
       "      <td id=\"T_f8cef_row9_col3\" class=\"data row9 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row10\" class=\"row_heading level0 row10\" >98</th>\n",
       "      <td id=\"T_f8cef_row10_col0\" class=\"data row10 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/5Er35v\">tool-or-service/5Er35v</a></td>\n",
       "      <td id=\"T_f8cef_row10_col1\" class=\"data row10 col1\" >5Er35v</td>\n",
       "      <td id=\"T_f8cef_row10_col2\" class=\"data row10 col2\" >AustESE</td>\n",
       "      <td id=\"T_f8cef_row10_col3\" class=\"data row10 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row11\" class=\"row_heading level0 row11\" >101</th>\n",
       "      <td id=\"T_f8cef_row11_col0\" class=\"data row11 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/kzL3qk\">tool-or-service/kzL3qk</a></td>\n",
       "      <td id=\"T_f8cef_row11_col1\" class=\"data row11 col1\" >kzL3qk</td>\n",
       "      <td id=\"T_f8cef_row11_col2\" class=\"data row11 col2\" >Autodesk 3ds Max</td>\n",
       "      <td id=\"T_f8cef_row11_col3\" class=\"data row11 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row12\" class=\"row_heading level0 row12\" >142</th>\n",
       "      <td id=\"T_f8cef_row12_col0\" class=\"data row12 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/Aj3Z9L\">tool-or-service/Aj3Z9L</a></td>\n",
       "      <td id=\"T_f8cef_row12_col1\" class=\"data row12 col1\" >Aj3Z9L</td>\n",
       "      <td id=\"T_f8cef_row12_col2\" class=\"data row12 col2\" >Blackboard Scholar</td>\n",
       "      <td id=\"T_f8cef_row12_col3\" class=\"data row12 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row13\" class=\"row_heading level0 row13\" >161</th>\n",
       "      <td id=\"T_f8cef_row13_col0\" class=\"data row13 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/bHHXBB\">tool-or-service/bHHXBB</a></td>\n",
       "      <td id=\"T_f8cef_row13_col1\" class=\"data row13 col1\" >bHHXBB</td>\n",
       "      <td id=\"T_f8cef_row13_col2\" class=\"data row13 col2\" >Boxer</td>\n",
       "      <td id=\"T_f8cef_row13_col3\" class=\"data row13 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row14\" class=\"row_heading level0 row14\" >184</th>\n",
       "      <td id=\"T_f8cef_row14_col0\" class=\"data row14 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/yks1mq\">tool-or-service/yks1mq</a></td>\n",
       "      <td id=\"T_f8cef_row14_col1\" class=\"data row14 col1\" >yks1mq</td>\n",
       "      <td id=\"T_f8cef_row14_col2\" class=\"data row14 col2\" >cc-viewer: An awesome OpenAQ data viewer from Cloud City</td>\n",
       "      <td id=\"T_f8cef_row14_col3\" class=\"data row14 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row15\" class=\"row_heading level0 row15\" >200</th>\n",
       "      <td id=\"T_f8cef_row15_col0\" class=\"data row15 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/Hfxm0S\">tool-or-service/Hfxm0S</a></td>\n",
       "      <td id=\"T_f8cef_row15_col1\" class=\"data row15 col1\" >Hfxm0S</td>\n",
       "      <td id=\"T_f8cef_row15_col2\" class=\"data row15 col2\" >Chrome</td>\n",
       "      <td id=\"T_f8cef_row15_col3\" class=\"data row15 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row16\" class=\"row_heading level0 row16\" >219</th>\n",
       "      <td id=\"T_f8cef_row16_col0\" class=\"data row16 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/Rt1EqK\">tool-or-service/Rt1EqK</a></td>\n",
       "      <td id=\"T_f8cef_row16_col1\" class=\"data row16 col1\" >Rt1EqK</td>\n",
       "      <td id=\"T_f8cef_row16_col2\" class=\"data row16 col2\" >CloudCompare - 3D point cloud and mesh processing software Open Source Project</td>\n",
       "      <td id=\"T_f8cef_row16_col3\" class=\"data row16 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row17\" class=\"row_heading level0 row17\" >221</th>\n",
       "      <td id=\"T_f8cef_row17_col0\" class=\"data row17 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/7aSH2Z\">tool-or-service/7aSH2Z</a></td>\n",
       "      <td id=\"T_f8cef_row17_col1\" class=\"data row17 col1\" >7aSH2Z</td>\n",
       "      <td id=\"T_f8cef_row17_col2\" class=\"data row17 col2\" >CloudCompare - Github</td>\n",
       "      <td id=\"T_f8cef_row17_col3\" class=\"data row17 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row18\" class=\"row_heading level0 row18\" >235</th>\n",
       "      <td id=\"T_f8cef_row18_col0\" class=\"data row18 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/jQnpCr\">tool-or-service/jQnpCr</a></td>\n",
       "      <td id=\"T_f8cef_row18_col1\" class=\"data row18 col1\" >jQnpCr</td>\n",
       "      <td id=\"T_f8cef_row18_col2\" class=\"data row18 col2\" >Collabora</td>\n",
       "      <td id=\"T_f8cef_row18_col3\" class=\"data row18 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row19\" class=\"row_heading level0 row19\" >304</th>\n",
       "      <td id=\"T_f8cef_row19_col0\" class=\"data row19 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/MkXY6u\">tool-or-service/MkXY6u</a></td>\n",
       "      <td id=\"T_f8cef_row19_col1\" class=\"data row19 col1\" >MkXY6u</td>\n",
       "      <td id=\"T_f8cef_row19_col2\" class=\"data row19 col2\" >Cultural Heritage Imaging \\| NEH Start-up Project</td>\n",
       "      <td id=\"T_f8cef_row19_col3\" class=\"data row19 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row20\" class=\"row_heading level0 row20\" >305</th>\n",
       "      <td id=\"T_f8cef_row20_col0\" class=\"data row20 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/NQ76Ma\">tool-or-service/NQ76Ma</a></td>\n",
       "      <td id=\"T_f8cef_row20_col1\" class=\"data row20 col1\" >NQ76Ma</td>\n",
       "      <td id=\"T_f8cef_row20_col2\" class=\"data row20 col2\" >Cultural Heritage Imaging \\| Process: RTIBuilder Download</td>\n",
       "      <td id=\"T_f8cef_row20_col3\" class=\"data row20 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row21\" class=\"row_heading level0 row21\" >341</th>\n",
       "      <td id=\"T_f8cef_row21_col0\" class=\"data row21 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/uPBXdG\">tool-or-service/uPBXdG</a></td>\n",
       "      <td id=\"T_f8cef_row21_col1\" class=\"data row21 col1\" >uPBXdG</td>\n",
       "      <td id=\"T_f8cef_row21_col2\" class=\"data row21 col2\" >Dataverse</td>\n",
       "      <td id=\"T_f8cef_row21_col3\" class=\"data row21 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row22\" class=\"row_heading level0 row22\" >353</th>\n",
       "      <td id=\"T_f8cef_row22_col0\" class=\"data row22 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/02gzWL\">tool-or-service/02gzWL</a></td>\n",
       "      <td id=\"T_f8cef_row22_col1\" class=\"data row22 col1\" >02gzWL</td>\n",
       "      <td id=\"T_f8cef_row22_col2\" class=\"data row22 col2\" >Detects columns and connects indented lines in hOCR files: nypl-spacetime/hocr-detect-columns</td>\n",
       "      <td id=\"T_f8cef_row22_col3\" class=\"data row22 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row23\" class=\"row_heading level0 row23\" >354</th>\n",
       "      <td id=\"T_f8cef_row23_col0\" class=\"data row23 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/b0k3I0\">tool-or-service/b0k3I0</a></td>\n",
       "      <td id=\"T_f8cef_row23_col1\" class=\"data row23 col1\" >b0k3I0</td>\n",
       "      <td id=\"T_f8cef_row23_col2\" class=\"data row23 col2\" >Deutsche Digitale Bibliothek</td>\n",
       "      <td id=\"T_f8cef_row23_col3\" class=\"data row23 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row24\" class=\"row_heading level0 row24\" >373</th>\n",
       "      <td id=\"T_f8cef_row24_col0\" class=\"data row24 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/7y3thM\">tool-or-service/7y3thM</a></td>\n",
       "      <td id=\"T_f8cef_row24_col1\" class=\"data row24 col1\" >7y3thM</td>\n",
       "      <td id=\"T_f8cef_row24_col2\" class=\"data row24 col2\" >Diigo</td>\n",
       "      <td id=\"T_f8cef_row24_col3\" class=\"data row24 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row25\" class=\"row_heading level0 row25\" >386</th>\n",
       "      <td id=\"T_f8cef_row25_col0\" class=\"data row25 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/Hzq9Tn\">tool-or-service/Hzq9Tn</a></td>\n",
       "      <td id=\"T_f8cef_row25_col1\" class=\"data row25 col1\" >Hzq9Tn</td>\n",
       "      <td id=\"T_f8cef_row25_col2\" class=\"data row25 col2\" >Django/python powered MEI massaging app.</td>\n",
       "      <td id=\"T_f8cef_row25_col3\" class=\"data row25 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row26\" class=\"row_heading level0 row26\" >389</th>\n",
       "      <td id=\"T_f8cef_row26_col0\" class=\"data row26 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/OB34AB\">tool-or-service/OB34AB</a></td>\n",
       "      <td id=\"T_f8cef_row26_col1\" class=\"data row26 col1\" >OB34AB</td>\n",
       "      <td id=\"T_f8cef_row26_col2\" class=\"data row26 col2\" >Documentation and use cases for ALTO XML. Contribute to altoxml/documentation development by creating an account on GitHub</td>\n",
       "      <td id=\"T_f8cef_row26_col3\" class=\"data row26 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row27\" class=\"row_heading level0 row27\" >406</th>\n",
       "      <td id=\"T_f8cef_row27_col0\" class=\"data row27 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/EClQF0\">tool-or-service/EClQF0</a></td>\n",
       "      <td id=\"T_f8cef_row27_col1\" class=\"data row27 col1\" >EClQF0</td>\n",
       "      <td id=\"T_f8cef_row27_col2\" class=\"data row27 col2\" >EAC-CPF Homepage</td>\n",
       "      <td id=\"T_f8cef_row27_col3\" class=\"data row27 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row28\" class=\"row_heading level0 row28\" >409</th>\n",
       "      <td id=\"T_f8cef_row28_col0\" class=\"data row28 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/fORSx6\">tool-or-service/fORSx6</a></td>\n",
       "      <td id=\"T_f8cef_row28_col1\" class=\"data row28 col1\" >fORSx6</td>\n",
       "      <td id=\"T_f8cef_row28_col2\" class=\"data row28 col2\" >ediarum</td>\n",
       "      <td id=\"T_f8cef_row28_col3\" class=\"data row28 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row29\" class=\"row_heading level0 row29\" >416</th>\n",
       "      <td id=\"T_f8cef_row29_col0\" class=\"data row29 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/G8unY0\">tool-or-service/G8unY0</a></td>\n",
       "      <td id=\"T_f8cef_row29_col1\" class=\"data row29 col1\" >G8unY0</td>\n",
       "      <td id=\"T_f8cef_row29_col2\" class=\"data row29 col2\" >ELAN</td>\n",
       "      <td id=\"T_f8cef_row29_col3\" class=\"data row29 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row30\" class=\"row_heading level0 row30\" >425</th>\n",
       "      <td id=\"T_f8cef_row30_col0\" class=\"data row30 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/tCRenC\">tool-or-service/tCRenC</a></td>\n",
       "      <td id=\"T_f8cef_row30_col1\" class=\"data row30 col1\" >tCRenC</td>\n",
       "      <td id=\"T_f8cef_row30_col2\" class=\"data row30 col2\" >epcEdit</td>\n",
       "      <td id=\"T_f8cef_row30_col3\" class=\"data row30 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row31\" class=\"row_heading level0 row31\" >447</th>\n",
       "      <td id=\"T_f8cef_row31_col0\" class=\"data row31 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/gQR3IB\">tool-or-service/gQR3IB</a></td>\n",
       "      <td id=\"T_f8cef_row31_col1\" class=\"data row31 col1\" >gQR3IB</td>\n",
       "      <td id=\"T_f8cef_row31_col2\" class=\"data row31 col2\" >Evri</td>\n",
       "      <td id=\"T_f8cef_row31_col3\" class=\"data row31 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row32\" class=\"row_heading level0 row32\" >455</th>\n",
       "      <td id=\"T_f8cef_row32_col0\" class=\"data row32 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/tQN7ll\">tool-or-service/tQN7ll</a></td>\n",
       "      <td id=\"T_f8cef_row32_col1\" class=\"data row32 col1\" >tQN7ll</td>\n",
       "      <td id=\"T_f8cef_row32_col2\" class=\"data row32 col2\" >Extensible Markup Language (XML)</td>\n",
       "      <td id=\"T_f8cef_row32_col3\" class=\"data row32 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row33\" class=\"row_heading level0 row33\" >475</th>\n",
       "      <td id=\"T_f8cef_row33_col0\" class=\"data row33 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/nYVgLN\">tool-or-service/nYVgLN</a></td>\n",
       "      <td id=\"T_f8cef_row33_col1\" class=\"data row33 col1\" >nYVgLN</td>\n",
       "      <td id=\"T_f8cef_row33_col2\" class=\"data row33 col2\" >Firefox</td>\n",
       "      <td id=\"T_f8cef_row33_col3\" class=\"data row33 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row34\" class=\"row_heading level0 row34\" >477</th>\n",
       "      <td id=\"T_f8cef_row34_col0\" class=\"data row34 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/Y6Cix8\">tool-or-service/Y6Cix8</a></td>\n",
       "      <td id=\"T_f8cef_row34_col1\" class=\"data row34 col1\" >Y6Cix8</td>\n",
       "      <td id=\"T_f8cef_row34_col2\" class=\"data row34 col2\" >fixed</td>\n",
       "      <td id=\"T_f8cef_row34_col3\" class=\"data row34 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row35\" class=\"row_heading level0 row35\" >487</th>\n",
       "      <td id=\"T_f8cef_row35_col0\" class=\"data row35 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/8WrxNC\">tool-or-service/8WrxNC</a></td>\n",
       "      <td id=\"T_f8cef_row35_col1\" class=\"data row35 col1\" >8WrxNC</td>\n",
       "      <td id=\"T_f8cef_row35_col2\" class=\"data row35 col2\" >FOLKER</td>\n",
       "      <td id=\"T_f8cef_row35_col3\" class=\"data row35 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row36\" class=\"row_heading level0 row36\" >500</th>\n",
       "      <td id=\"T_f8cef_row36_col0\" class=\"data row36 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/6vEKc5\">tool-or-service/6vEKc5</a></td>\n",
       "      <td id=\"T_f8cef_row36_col1\" class=\"data row36 col1\" >6vEKc5</td>\n",
       "      <td id=\"T_f8cef_row36_col2\" class=\"data row36 col2\" >Free open-source photogrammetry software tools.</td>\n",
       "      <td id=\"T_f8cef_row36_col3\" class=\"data row36 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row37\" class=\"row_heading level0 row37\" >528</th>\n",
       "      <td id=\"T_f8cef_row37_col0\" class=\"data row37 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/ogXQ7C\">tool-or-service/ogXQ7C</a></td>\n",
       "      <td id=\"T_f8cef_row37_col1\" class=\"data row37 col1\" >ogXQ7C</td>\n",
       "      <td id=\"T_f8cef_row37_col2\" class=\"data row37 col2\" >GIMP</td>\n",
       "      <td id=\"T_f8cef_row37_col3\" class=\"data row37 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row38\" class=\"row_heading level0 row38\" >535</th>\n",
       "      <td id=\"T_f8cef_row38_col0\" class=\"data row38 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/N5hPDZ\">tool-or-service/N5hPDZ</a></td>\n",
       "      <td id=\"T_f8cef_row38_col1\" class=\"data row38 col1\" >N5hPDZ</td>\n",
       "      <td id=\"T_f8cef_row38_col2\" class=\"data row38 col2\" >GNU Octave</td>\n",
       "      <td id=\"T_f8cef_row38_col3\" class=\"data row38 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row39\" class=\"row_heading level0 row39\" >537</th>\n",
       "      <td id=\"T_f8cef_row39_col0\" class=\"data row39 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/1KBLSJ\">tool-or-service/1KBLSJ</a></td>\n",
       "      <td id=\"T_f8cef_row39_col1\" class=\"data row39 col1\" >1KBLSJ</td>\n",
       "      <td id=\"T_f8cef_row39_col2\" class=\"data row39 col2\" >Goobi: Workflow management software for digitisation projects - intranda/goobi</td>\n",
       "      <td id=\"T_f8cef_row39_col3\" class=\"data row39 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row40\" class=\"row_heading level0 row40\" >538</th>\n",
       "      <td id=\"T_f8cef_row40_col0\" class=\"data row40 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/LbSufZ\">tool-or-service/LbSufZ</a></td>\n",
       "      <td id=\"T_f8cef_row40_col1\" class=\"data row40 col1\" >LbSufZ</td>\n",
       "      <td id=\"T_f8cef_row40_col2\" class=\"data row40 col2\" >GoodReader</td>\n",
       "      <td id=\"T_f8cef_row40_col3\" class=\"data row40 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row41\" class=\"row_heading level0 row41\" >571</th>\n",
       "      <td id=\"T_f8cef_row41_col0\" class=\"data row41 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/gm5FCF\">tool-or-service/gm5FCF</a></td>\n",
       "      <td id=\"T_f8cef_row41_col1\" class=\"data row41 col1\" >gm5FCF</td>\n",
       "      <td id=\"T_f8cef_row41_col2\" class=\"data row41 col2\" >Hackety Hack</td>\n",
       "      <td id=\"T_f8cef_row41_col3\" class=\"data row41 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row42\" class=\"row_heading level0 row42\" >593</th>\n",
       "      <td id=\"T_f8cef_row42_col0\" class=\"data row42 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/4QzgD9\">tool-or-service/4QzgD9</a></td>\n",
       "      <td id=\"T_f8cef_row42_col1\" class=\"data row42 col1\" >4QzgD9</td>\n",
       "      <td id=\"T_f8cef_row42_col2\" class=\"data row42 col2\" >HTML5 based DjVu file viewer. Contribute to mateusz-matela/djvu-html5 development by creating an account on GitHub</td>\n",
       "      <td id=\"T_f8cef_row42_col3\" class=\"data row42 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row43\" class=\"row_heading level0 row43\" >600</th>\n",
       "      <td id=\"T_f8cef_row43_col0\" class=\"data row43 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/IDaEf6\">tool-or-service/IDaEf6</a></td>\n",
       "      <td id=\"T_f8cef_row43_col1\" class=\"data row43 col1\" >IDaEf6</td>\n",
       "      <td id=\"T_f8cef_row43_col2\" class=\"data row43 col2\" >HyperImage</td>\n",
       "      <td id=\"T_f8cef_row43_col3\" class=\"data row43 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row44\" class=\"row_heading level0 row44\" >607</th>\n",
       "      <td id=\"T_f8cef_row44_col0\" class=\"data row44 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/k0vmlP\">tool-or-service/k0vmlP</a></td>\n",
       "      <td id=\"T_f8cef_row44_col1\" class=\"data row44 col1\" >k0vmlP</td>\n",
       "      <td id=\"T_f8cef_row44_col2\" class=\"data row44 col2\" >IANUS Datenportal</td>\n",
       "      <td id=\"T_f8cef_row44_col3\" class=\"data row44 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row45\" class=\"row_heading level0 row45\" >618</th>\n",
       "      <td id=\"T_f8cef_row45_col0\" class=\"data row45 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/LUNxYS\">tool-or-service/LUNxYS</a></td>\n",
       "      <td id=\"T_f8cef_row45_col1\" class=\"data row45 col1\" >LUNxYS</td>\n",
       "      <td id=\"T_f8cef_row45_col2\" class=\"data row45 col2\" >ifttt</td>\n",
       "      <td id=\"T_f8cef_row45_col3\" class=\"data row45 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row46\" class=\"row_heading level0 row46\" >625</th>\n",
       "      <td id=\"T_f8cef_row46_col0\" class=\"data row46 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/Ay1ZsU\">tool-or-service/Ay1ZsU</a></td>\n",
       "      <td id=\"T_f8cef_row46_col1\" class=\"data row46 col1\" >Ay1ZsU</td>\n",
       "      <td id=\"T_f8cef_row46_col2\" class=\"data row46 col2\" >ImagePlot</td>\n",
       "      <td id=\"T_f8cef_row46_col3\" class=\"data row46 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row47\" class=\"row_heading level0 row47\" >642</th>\n",
       "      <td id=\"T_f8cef_row47_col0\" class=\"data row47 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/Es3ozf\">tool-or-service/Es3ozf</a></td>\n",
       "      <td id=\"T_f8cef_row47_col1\" class=\"data row47 col1\" >Es3ozf</td>\n",
       "      <td id=\"T_f8cef_row47_col2\" class=\"data row47 col2\" >Instaviz</td>\n",
       "      <td id=\"T_f8cef_row47_col3\" class=\"data row47 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row48\" class=\"row_heading level0 row48\" >644</th>\n",
       "      <td id=\"T_f8cef_row48_col0\" class=\"data row48 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/EcLbxP\">tool-or-service/EcLbxP</a></td>\n",
       "      <td id=\"T_f8cef_row48_col1\" class=\"data row48 col1\" >EcLbxP</td>\n",
       "      <td id=\"T_f8cef_row48_col2\" class=\"data row48 col2\" >Integrated Authority File (GND)</td>\n",
       "      <td id=\"T_f8cef_row48_col3\" class=\"data row48 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row49\" class=\"row_heading level0 row49\" >646</th>\n",
       "      <td id=\"T_f8cef_row49_col0\" class=\"data row49 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/XEBPje\">tool-or-service/XEBPje</a></td>\n",
       "      <td id=\"T_f8cef_row49_col1\" class=\"data row49 col1\" >XEBPje</td>\n",
       "      <td id=\"T_f8cef_row49_col2\" class=\"data row49 col2\" >Intervue</td>\n",
       "      <td id=\"T_f8cef_row49_col3\" class=\"data row49 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row50\" class=\"row_heading level0 row50\" >661</th>\n",
       "      <td id=\"T_f8cef_row50_col0\" class=\"data row50 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/xdJVRm\">tool-or-service/xdJVRm</a></td>\n",
       "      <td id=\"T_f8cef_row50_col1\" class=\"data row50 col1\" >xdJVRm</td>\n",
       "      <td id=\"T_f8cef_row50_col2\" class=\"data row50 col2\" >iSpring</td>\n",
       "      <td id=\"T_f8cef_row50_col3\" class=\"data row50 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row51\" class=\"row_heading level0 row51\" >666</th>\n",
       "      <td id=\"T_f8cef_row51_col0\" class=\"data row51 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/NvN0y8\">tool-or-service/NvN0y8</a></td>\n",
       "      <td id=\"T_f8cef_row51_col1\" class=\"data row51 col1\" >NvN0y8</td>\n",
       "      <td id=\"T_f8cef_row51_col2\" class=\"data row51 col2\" >iTunesCyrFix</td>\n",
       "      <td id=\"T_f8cef_row51_col3\" class=\"data row51 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row52\" class=\"row_heading level0 row52\" >667</th>\n",
       "      <td id=\"T_f8cef_row52_col0\" class=\"data row52 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/a8STxM\">tool-or-service/a8STxM</a></td>\n",
       "      <td id=\"T_f8cef_row52_col1\" class=\"data row52 col1\" >a8STxM</td>\n",
       "      <td id=\"T_f8cef_row52_col2\" class=\"data row52 col2\" >iWrite</td>\n",
       "      <td id=\"T_f8cef_row52_col3\" class=\"data row52 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row53\" class=\"row_heading level0 row53\" >671</th>\n",
       "      <td id=\"T_f8cef_row53_col0\" class=\"data row53 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/YZhok6\">tool-or-service/YZhok6</a></td>\n",
       "      <td id=\"T_f8cef_row53_col1\" class=\"data row53 col1\" >YZhok6</td>\n",
       "      <td id=\"T_f8cef_row53_col2\" class=\"data row53 col2\" >JASP</td>\n",
       "      <td id=\"T_f8cef_row53_col3\" class=\"data row53 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row54\" class=\"row_heading level0 row54\" >683</th>\n",
       "      <td id=\"T_f8cef_row54_col0\" class=\"data row54 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/WTrJ48\">tool-or-service/WTrJ48</a></td>\n",
       "      <td id=\"T_f8cef_row54_col1\" class=\"data row54 col1\" >WTrJ48</td>\n",
       "      <td id=\"T_f8cef_row54_col2\" class=\"data row54 col2\" >Jonny Mathias</td>\n",
       "      <td id=\"T_f8cef_row54_col3\" class=\"data row54 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row55\" class=\"row_heading level0 row55\" >774</th>\n",
       "      <td id=\"T_f8cef_row55_col0\" class=\"data row55 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/qzhSM8\">tool-or-service/qzhSM8</a></td>\n",
       "      <td id=\"T_f8cef_row55_col1\" class=\"data row55 col1\" >qzhSM8</td>\n",
       "      <td id=\"T_f8cef_row55_col2\" class=\"data row55 col2\" >MacSpeech Scribe</td>\n",
       "      <td id=\"T_f8cef_row55_col3\" class=\"data row55 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row56\" class=\"row_heading level0 row56\" >777</th>\n",
       "      <td id=\"T_f8cef_row56_col0\" class=\"data row56 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/BryPWf\">tool-or-service/BryPWf</a></td>\n",
       "      <td id=\"T_f8cef_row56_col1\" class=\"data row56 col1\" >BryPWf</td>\n",
       "      <td id=\"T_f8cef_row56_col2\" class=\"data row56 col2\" >Maeshowe: The Application of RTI to Norse Runes</td>\n",
       "      <td id=\"T_f8cef_row56_col3\" class=\"data row56 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row57\" class=\"row_heading level0 row57\" >812</th>\n",
       "      <td id=\"T_f8cef_row57_col0\" class=\"data row57 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/TftFnA\">tool-or-service/TftFnA</a></td>\n",
       "      <td id=\"T_f8cef_row57_col1\" class=\"data row57 col1\" >TftFnA</td>\n",
       "      <td id=\"T_f8cef_row57_col2\" class=\"data row57 col2\" >MDB Tool</td>\n",
       "      <td id=\"T_f8cef_row57_col3\" class=\"data row57 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row58\" class=\"row_heading level0 row58\" >823</th>\n",
       "      <td id=\"T_f8cef_row58_col0\" class=\"data row58 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/fCdyBJ\">tool-or-service/fCdyBJ</a></td>\n",
       "      <td id=\"T_f8cef_row58_col1\" class=\"data row58 col1\" >fCdyBJ</td>\n",
       "      <td id=\"T_f8cef_row58_col2\" class=\"data row58 col2\" >Mellel</td>\n",
       "      <td id=\"T_f8cef_row58_col3\" class=\"data row58 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row59\" class=\"row_heading level0 row59\" >827</th>\n",
       "      <td id=\"T_f8cef_row59_col0\" class=\"data row59 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/05h28r\">tool-or-service/05h28r</a></td>\n",
       "      <td id=\"T_f8cef_row59_col1\" class=\"data row59 col1\" >05h28r</td>\n",
       "      <td id=\"T_f8cef_row59_col2\" class=\"data row59 col2\" >MerMEId. Tool for editing MEI header data</td>\n",
       "      <td id=\"T_f8cef_row59_col3\" class=\"data row59 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row60\" class=\"row_heading level0 row60\" >828</th>\n",
       "      <td id=\"T_f8cef_row60_col0\" class=\"data row60 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/AdaVoH\">tool-or-service/AdaVoH</a></td>\n",
       "      <td id=\"T_f8cef_row60_col1\" class=\"data row60 col1\" >AdaVoH</td>\n",
       "      <td id=\"T_f8cef_row60_col2\" class=\"data row60 col2\" >MeshLab</td>\n",
       "      <td id=\"T_f8cef_row60_col3\" class=\"data row60 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row61\" class=\"row_heading level0 row61\" >829</th>\n",
       "      <td id=\"T_f8cef_row61_col0\" class=\"data row61 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/Ew8dCW\">tool-or-service/Ew8dCW</a></td>\n",
       "      <td id=\"T_f8cef_row61_col1\" class=\"data row61 col1\" >Ew8dCW</td>\n",
       "      <td id=\"T_f8cef_row61_col2\" class=\"data row61 col2\" >MeshLab Documentation</td>\n",
       "      <td id=\"T_f8cef_row61_col3\" class=\"data row61 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row62\" class=\"row_heading level0 row62\" >830</th>\n",
       "      <td id=\"T_f8cef_row62_col0\" class=\"data row62 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/F8fsFP\">tool-or-service/F8fsFP</a></td>\n",
       "      <td id=\"T_f8cef_row62_col1\" class=\"data row62 col1\" >F8fsFP</td>\n",
       "      <td id=\"T_f8cef_row62_col2\" class=\"data row62 col2\" >Meshlab - Github</td>\n",
       "      <td id=\"T_f8cef_row62_col3\" class=\"data row62 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row63\" class=\"row_heading level0 row63\" >834</th>\n",
       "      <td id=\"T_f8cef_row63_col0\" class=\"data row63 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/jW7Juy\">tool-or-service/jW7Juy</a></td>\n",
       "      <td id=\"T_f8cef_row63_col1\" class=\"data row63 col1\" >jW7Juy</td>\n",
       "      <td id=\"T_f8cef_row63_col2\" class=\"data row63 col2\" >MicMac documentation</td>\n",
       "      <td id=\"T_f8cef_row63_col3\" class=\"data row63 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row64\" class=\"row_heading level0 row64\" >866</th>\n",
       "      <td id=\"T_f8cef_row64_col0\" class=\"data row64 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/GfOswz\">tool-or-service/GfOswz</a></td>\n",
       "      <td id=\"T_f8cef_row64_col1\" class=\"data row64 col1\" >GfOswz</td>\n",
       "      <td id=\"T_f8cef_row64_col2\" class=\"data row64 col2\" >MuseScore</td>\n",
       "      <td id=\"T_f8cef_row64_col3\" class=\"data row64 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row65\" class=\"row_heading level0 row65\" >867</th>\n",
       "      <td id=\"T_f8cef_row65_col0\" class=\"data row65 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/eysS8u\">tool-or-service/eysS8u</a></td>\n",
       "      <td id=\"T_f8cef_row65_col1\" class=\"data row65 col1\" >eysS8u</td>\n",
       "      <td id=\"T_f8cef_row65_col2\" class=\"data row65 col2\" >🎵 Music notation engraving library for MEI with MusicXML and Humdrum support and various toolkits (JavaScript, Python): rism-ch/verovio</td>\n",
       "      <td id=\"T_f8cef_row65_col3\" class=\"data row65 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row66\" class=\"row_heading level0 row66\" >870</th>\n",
       "      <td id=\"T_f8cef_row66_col0\" class=\"data row66 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/ZNBuVy\">tool-or-service/ZNBuVy</a></td>\n",
       "      <td id=\"T_f8cef_row66_col1\" class=\"data row66 col1\" >ZNBuVy</td>\n",
       "      <td id=\"T_f8cef_row66_col2\" class=\"data row66 col2\" >myPeers</td>\n",
       "      <td id=\"T_f8cef_row66_col3\" class=\"data row66 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row67\" class=\"row_heading level0 row67\" >871</th>\n",
       "      <td id=\"T_f8cef_row67_col0\" class=\"data row67 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/7L7pZ0\">tool-or-service/7L7pZ0</a></td>\n",
       "      <td id=\"T_f8cef_row67_col1\" class=\"data row67 col1\" >7L7pZ0</td>\n",
       "      <td id=\"T_f8cef_row67_col2\" class=\"data row67 col2\" >MySQL</td>\n",
       "      <td id=\"T_f8cef_row67_col3\" class=\"data row67 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row68\" class=\"row_heading level0 row68\" >875</th>\n",
       "      <td id=\"T_f8cef_row68_col0\" class=\"data row68 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/71u2vE\">tool-or-service/71u2vE</a></td>\n",
       "      <td id=\"T_f8cef_row68_col1\" class=\"data row68 col1\" >71u2vE</td>\n",
       "      <td id=\"T_f8cef_row68_col2\" class=\"data row68 col2\" >nanoc</td>\n",
       "      <td id=\"T_f8cef_row68_col3\" class=\"data row68 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row69\" class=\"row_heading level0 row69\" >924</th>\n",
       "      <td id=\"T_f8cef_row69_col0\" class=\"data row69 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/21hiHP\">tool-or-service/21hiHP</a></td>\n",
       "      <td id=\"T_f8cef_row69_col1\" class=\"data row69 col1\" >21hiHP</td>\n",
       "      <td id=\"T_f8cef_row69_col2\" class=\"data row69 col2\" >OmniFocus</td>\n",
       "      <td id=\"T_f8cef_row69_col3\" class=\"data row69 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row70\" class=\"row_heading level0 row70\" >926</th>\n",
       "      <td id=\"T_f8cef_row70_col0\" class=\"data row70 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/3QBtXR\">tool-or-service/3QBtXR</a></td>\n",
       "      <td id=\"T_f8cef_row70_col1\" class=\"data row70 col1\" >3QBtXR</td>\n",
       "      <td id=\"T_f8cef_row70_col2\" class=\"data row70 col2\" >OmniPage</td>\n",
       "      <td id=\"T_f8cef_row70_col3\" class=\"data row70 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row71\" class=\"row_heading level0 row71\" >931</th>\n",
       "      <td id=\"T_f8cef_row71_col0\" class=\"data row71 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/MF0Za8\">tool-or-service/MF0Za8</a></td>\n",
       "      <td id=\"T_f8cef_row71_col1\" class=\"data row71 col1\" >MF0Za8</td>\n",
       "      <td id=\"T_f8cef_row71_col2\" class=\"data row71 col2\" >Open Archives Initiative Protocol for Metadata Harvesting</td>\n",
       "      <td id=\"T_f8cef_row71_col3\" class=\"data row71 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row72\" class=\"row_heading level0 row72\" >934</th>\n",
       "      <td id=\"T_f8cef_row72_col0\" class=\"data row72 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/5mpQoK\">tool-or-service/5mpQoK</a></td>\n",
       "      <td id=\"T_f8cef_row72_col1\" class=\"data row72 col1\" >5mpQoK</td>\n",
       "      <td id=\"T_f8cef_row72_col2\" class=\"data row72 col2\" >OpenCOLLADA</td>\n",
       "      <td id=\"T_f8cef_row72_col3\" class=\"data row72 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row73\" class=\"row_heading level0 row73\" >937</th>\n",
       "      <td id=\"T_f8cef_row73_col0\" class=\"data row73 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/8wMkbO\">tool-or-service/8wMkbO</a></td>\n",
       "      <td id=\"T_f8cef_row73_col1\" class=\"data row73 col1\" >8wMkbO</td>\n",
       "      <td id=\"T_f8cef_row73_col2\" class=\"data row73 col2\" >OpenFlipper</td>\n",
       "      <td id=\"T_f8cef_row73_col3\" class=\"data row73 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row74\" class=\"row_heading level0 row74\" >938</th>\n",
       "      <td id=\"T_f8cef_row74_col0\" class=\"data row74 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/YqjUYN\">tool-or-service/YqjUYN</a></td>\n",
       "      <td id=\"T_f8cef_row74_col1\" class=\"data row74 col1\" >YqjUYN</td>\n",
       "      <td id=\"T_f8cef_row74_col2\" class=\"data row74 col2\" >OpenFlipper Developer Documentation</td>\n",
       "      <td id=\"T_f8cef_row74_col3\" class=\"data row74 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row75\" class=\"row_heading level0 row75\" >939</th>\n",
       "      <td id=\"T_f8cef_row75_col0\" class=\"data row75 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/NFk1dB\">tool-or-service/NFk1dB</a></td>\n",
       "      <td id=\"T_f8cef_row75_col1\" class=\"data row75 col1\" >NFk1dB</td>\n",
       "      <td id=\"T_f8cef_row75_col2\" class=\"data row75 col2\" >OpenFlipper-Free</td>\n",
       "      <td id=\"T_f8cef_row75_col3\" class=\"data row75 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row76\" class=\"row_heading level0 row76\" >943</th>\n",
       "      <td id=\"T_f8cef_row76_col0\" class=\"data row76 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/y9sDZE\">tool-or-service/y9sDZE</a></td>\n",
       "      <td id=\"T_f8cef_row76_col1\" class=\"data row76 col1\" >y9sDZE</td>\n",
       "      <td id=\"T_f8cef_row76_col2\" class=\"data row76 col2\" >OpenOffice</td>\n",
       "      <td id=\"T_f8cef_row76_col3\" class=\"data row76 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row77\" class=\"row_heading level0 row77\" >946</th>\n",
       "      <td id=\"T_f8cef_row77_col0\" class=\"data row77 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/3OLou6\">tool-or-service/3OLou6</a></td>\n",
       "      <td id=\"T_f8cef_row77_col1\" class=\"data row77 col1\" >3OLou6</td>\n",
       "      <td id=\"T_f8cef_row77_col2\" class=\"data row77 col2\" >Open Source, Distributed, RESTful Search Engine. Contribute to elastic/elasticsearch development by creating an account on GitHub</td>\n",
       "      <td id=\"T_f8cef_row77_col3\" class=\"data row77 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row78\" class=\"row_heading level0 row78\" >955</th>\n",
       "      <td id=\"T_f8cef_row78_col0\" class=\"data row78 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/WBDKcf\">tool-or-service/WBDKcf</a></td>\n",
       "      <td id=\"T_f8cef_row78_col1\" class=\"data row78 col1\" >WBDKcf</td>\n",
       "      <td id=\"T_f8cef_row78_col2\" class=\"data row78 col2\" >Org Mode</td>\n",
       "      <td id=\"T_f8cef_row78_col3\" class=\"data row78 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row79\" class=\"row_heading level0 row79\" >988</th>\n",
       "      <td id=\"T_f8cef_row79_col0\" class=\"data row79 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/oeIlIk\">tool-or-service/oeIlIk</a></td>\n",
       "      <td id=\"T_f8cef_row79_col1\" class=\"data row79 col1\" >oeIlIk</td>\n",
       "      <td id=\"T_f8cef_row79_col2\" class=\"data row79 col2\" >Pattern</td>\n",
       "      <td id=\"T_f8cef_row79_col3\" class=\"data row79 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row80\" class=\"row_heading level0 row80\" >994</th>\n",
       "      <td id=\"T_f8cef_row80_col0\" class=\"data row80 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/gF2CjH\">tool-or-service/gF2CjH</a></td>\n",
       "      <td id=\"T_f8cef_row80_col1\" class=\"data row80 col1\" >gF2CjH</td>\n",
       "      <td id=\"T_f8cef_row80_col2\" class=\"data row80 col2\" >PDF Extract</td>\n",
       "      <td id=\"T_f8cef_row80_col3\" class=\"data row80 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row81\" class=\"row_heading level0 row81\" >999</th>\n",
       "      <td id=\"T_f8cef_row81_col0\" class=\"data row81 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/20Uzsv\">tool-or-service/20Uzsv</a></td>\n",
       "      <td id=\"T_f8cef_row81_col1\" class=\"data row81 col1\" >20Uzsv</td>\n",
       "      <td id=\"T_f8cef_row81_col2\" class=\"data row81 col2\" >Pear Note</td>\n",
       "      <td id=\"T_f8cef_row81_col3\" class=\"data row81 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row82\" class=\"row_heading level0 row82\" >1001</th>\n",
       "      <td id=\"T_f8cef_row82_col0\" class=\"data row82 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/qJOq50\">tool-or-service/qJOq50</a></td>\n",
       "      <td id=\"T_f8cef_row82_col1\" class=\"data row82 col1\" >qJOq50</td>\n",
       "      <td id=\"T_f8cef_row82_col2\" class=\"data row82 col2\" >Personal Brain</td>\n",
       "      <td id=\"T_f8cef_row82_col3\" class=\"data row82 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row83\" class=\"row_heading level0 row83\" >1042</th>\n",
       "      <td id=\"T_f8cef_row83_col0\" class=\"data row83 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/PhTbBl\">tool-or-service/PhTbBl</a></td>\n",
       "      <td id=\"T_f8cef_row83_col1\" class=\"data row83 col1\" >PhTbBl</td>\n",
       "      <td id=\"T_f8cef_row83_col2\" class=\"data row83 col2\" >potree: WebGL point cloud viewer for large datasets</td>\n",
       "      <td id=\"T_f8cef_row83_col3\" class=\"data row83 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row84\" class=\"row_heading level0 row84\" >1076</th>\n",
       "      <td id=\"T_f8cef_row84_col0\" class=\"data row84 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/VgJbk7\">tool-or-service/VgJbk7</a></td>\n",
       "      <td id=\"T_f8cef_row84_col1\" class=\"data row84 col1\" >VgJbk7</td>\n",
       "      <td id=\"T_f8cef_row84_col2\" class=\"data row84 col2\" >PyBossa</td>\n",
       "      <td id=\"T_f8cef_row84_col3\" class=\"data row84 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row85\" class=\"row_heading level0 row85\" >1081</th>\n",
       "      <td id=\"T_f8cef_row85_col0\" class=\"data row85 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/wtfizG\">tool-or-service/wtfizG</a></td>\n",
       "      <td id=\"T_f8cef_row85_col1\" class=\"data row85 col1\" >wtfizG</td>\n",
       "      <td id=\"T_f8cef_row85_col2\" class=\"data row85 col2\" >QDA Miner - Qualitative Data Analysis Software for Qualitative Research</td>\n",
       "      <td id=\"T_f8cef_row85_col3\" class=\"data row85 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row86\" class=\"row_heading level0 row86\" >1103</th>\n",
       "      <td id=\"T_f8cef_row86_col0\" class=\"data row86 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/yWUrg9\">tool-or-service/yWUrg9</a></td>\n",
       "      <td id=\"T_f8cef_row86_col1\" class=\"data row86 col1\" >yWUrg9</td>\n",
       "      <td id=\"T_f8cef_row86_col2\" class=\"data row86 col2\" >Readability</td>\n",
       "      <td id=\"T_f8cef_row86_col3\" class=\"data row86 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row87\" class=\"row_heading level0 row87\" >1112</th>\n",
       "      <td id=\"T_f8cef_row87_col0\" class=\"data row87 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/6TiHIo\">tool-or-service/6TiHIo</a></td>\n",
       "      <td id=\"T_f8cef_row87_col1\" class=\"data row87 col1\" >6TiHIo</td>\n",
       "      <td id=\"T_f8cef_row87_col2\" class=\"data row87 col2\" >Referencer</td>\n",
       "      <td id=\"T_f8cef_row87_col3\" class=\"data row87 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row88\" class=\"row_heading level0 row88\" >1129</th>\n",
       "      <td id=\"T_f8cef_row88_col0\" class=\"data row88 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/7jF2uv\">tool-or-service/7jF2uv</a></td>\n",
       "      <td id=\"T_f8cef_row88_col1\" class=\"data row88 col1\" >7jF2uv</td>\n",
       "      <td id=\"T_f8cef_row88_col2\" class=\"data row88 col2\" >Ruby on Rails</td>\n",
       "      <td id=\"T_f8cef_row88_col3\" class=\"data row88 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row89\" class=\"row_heading level0 row89\" >1141</th>\n",
       "      <td id=\"T_f8cef_row89_col0\" class=\"data row89 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/s8uozH\">tool-or-service/s8uozH</a></td>\n",
       "      <td id=\"T_f8cef_row89_col1\" class=\"data row89 col1\" >s8uozH</td>\n",
       "      <td id=\"T_f8cef_row89_col2\" class=\"data row89 col2\" >Scholarometer</td>\n",
       "      <td id=\"T_f8cef_row89_col3\" class=\"data row89 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row90\" class=\"row_heading level0 row90\" >1150</th>\n",
       "      <td id=\"T_f8cef_row90_col0\" class=\"data row90 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/yDz0jp\">tool-or-service/yDz0jp</a></td>\n",
       "      <td id=\"T_f8cef_row90_col1\" class=\"data row90 col1\" >yDz0jp</td>\n",
       "      <td id=\"T_f8cef_row90_col2\" class=\"data row90 col2\" >Scratch</td>\n",
       "      <td id=\"T_f8cef_row90_col3\" class=\"data row90 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row91\" class=\"row_heading level0 row91\" >1187</th>\n",
       "      <td id=\"T_f8cef_row91_col0\" class=\"data row91 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/tzL2Ao\">tool-or-service/tzL2Ao</a></td>\n",
       "      <td id=\"T_f8cef_row91_col1\" class=\"data row91 col1\" >tzL2Ao</td>\n",
       "      <td id=\"T_f8cef_row91_col2\" class=\"data row91 col2\" >Sibelius MEI Plugin.</td>\n",
       "      <td id=\"T_f8cef_row91_col3\" class=\"data row91 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row92\" class=\"row_heading level0 row92\" >1188</th>\n",
       "      <td id=\"T_f8cef_row92_col0\" class=\"data row92 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/V1U4ws\">tool-or-service/V1U4ws</a></td>\n",
       "      <td id=\"T_f8cef_row92_col1\" class=\"data row92 col1\" >V1U4ws</td>\n",
       "      <td id=\"T_f8cef_row92_col2\" class=\"data row92 col2\" >SibMEI 1.0</td>\n",
       "      <td id=\"T_f8cef_row92_col3\" class=\"data row92 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row93\" class=\"row_heading level0 row93\" >1235</th>\n",
       "      <td id=\"T_f8cef_row93_col0\" class=\"data row93 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/h16Jzc\">tool-or-service/h16Jzc</a></td>\n",
       "      <td id=\"T_f8cef_row93_col1\" class=\"data row93 col1\" >h16Jzc</td>\n",
       "      <td id=\"T_f8cef_row93_col2\" class=\"data row93 col2\" >Software - The Stanford Natural Language Processing Group</td>\n",
       "      <td id=\"T_f8cef_row93_col3\" class=\"data row93 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row94\" class=\"row_heading level0 row94\" >1243</th>\n",
       "      <td id=\"T_f8cef_row94_col0\" class=\"data row94 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/SKXyni\">tool-or-service/SKXyni</a></td>\n",
       "      <td id=\"T_f8cef_row94_col1\" class=\"data row94 col1\" >SKXyni</td>\n",
       "      <td id=\"T_f8cef_row94_col2\" class=\"data row94 col2\" >SoundScriber</td>\n",
       "      <td id=\"T_f8cef_row94_col3\" class=\"data row94 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row95\" class=\"row_heading level0 row95\" >1270</th>\n",
       "      <td id=\"T_f8cef_row95_col0\" class=\"data row95 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/p7pfbV\">tool-or-service/p7pfbV</a></td>\n",
       "      <td id=\"T_f8cef_row95_col1\" class=\"data row95 col1\" >p7pfbV</td>\n",
       "      <td id=\"T_f8cef_row95_col2\" class=\"data row95 col2\" >Stanford Named Entity Recognizer (NER)</td>\n",
       "      <td id=\"T_f8cef_row95_col3\" class=\"data row95 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row96\" class=\"row_heading level0 row96\" >1293</th>\n",
       "      <td id=\"T_f8cef_row96_col0\" class=\"data row96 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/IMqx3Q\">tool-or-service/IMqx3Q</a></td>\n",
       "      <td id=\"T_f8cef_row96_col1\" class=\"data row96 col1\" >IMqx3Q</td>\n",
       "      <td id=\"T_f8cef_row96_col2\" class=\"data row96 col2\" >Stories Matter</td>\n",
       "      <td id=\"T_f8cef_row96_col3\" class=\"data row96 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row97\" class=\"row_heading level0 row97\" >1298</th>\n",
       "      <td id=\"T_f8cef_row97_col0\" class=\"data row97 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/6Ypavd\">tool-or-service/6Ypavd</a></td>\n",
       "      <td id=\"T_f8cef_row97_col1\" class=\"data row97 col1\" >6Ypavd</td>\n",
       "      <td id=\"T_f8cef_row97_col2\" class=\"data row97 col2\" >Substance</td>\n",
       "      <td id=\"T_f8cef_row97_col3\" class=\"data row97 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row98\" class=\"row_heading level0 row98\" >1335</th>\n",
       "      <td id=\"T_f8cef_row98_col0\" class=\"data row98 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/VNoucV\">tool-or-service/VNoucV</a></td>\n",
       "      <td id=\"T_f8cef_row98_col1\" class=\"data row98 col1\" >VNoucV</td>\n",
       "      <td id=\"T_f8cef_row98_col2\" class=\"data row98 col2\" >TemaTres Controlled Vocabulary Server</td>\n",
       "      <td id=\"T_f8cef_row98_col3\" class=\"data row98 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row99\" class=\"row_heading level0 row99\" >1368</th>\n",
       "      <td id=\"T_f8cef_row99_col0\" class=\"data row99 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/5aBjg5\">tool-or-service/5aBjg5</a></td>\n",
       "      <td id=\"T_f8cef_row99_col1\" class=\"data row99 col1\" >5aBjg5</td>\n",
       "      <td id=\"T_f8cef_row99_col2\" class=\"data row99 col2\" >TextPad</td>\n",
       "      <td id=\"T_f8cef_row99_col3\" class=\"data row99 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row100\" class=\"row_heading level0 row100\" >1375</th>\n",
       "      <td id=\"T_f8cef_row100_col0\" class=\"data row100 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/jDUl7C\">tool-or-service/jDUl7C</a></td>\n",
       "      <td id=\"T_f8cef_row100_col1\" class=\"data row100 col1\" >jDUl7C</td>\n",
       "      <td id=\"T_f8cef_row100_col2\" class=\"data row100 col2\" >Text Variation Explorer</td>\n",
       "      <td id=\"T_f8cef_row100_col3\" class=\"data row100 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row101\" class=\"row_heading level0 row101\" >1381</th>\n",
       "      <td id=\"T_f8cef_row101_col0\" class=\"data row101 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/mZ8s4O\">tool-or-service/mZ8s4O</a></td>\n",
       "      <td id=\"T_f8cef_row101_col1\" class=\"data row101 col1\" >mZ8s4O</td>\n",
       "      <td id=\"T_f8cef_row101_col2\" class=\"data row101 col2\" >The CIS OCR PostCorrectionTool. Contribute to cisocrgroup/PoCoTo development by creating an account on GitHub</td>\n",
       "      <td id=\"T_f8cef_row101_col3\" class=\"data row101 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row102\" class=\"row_heading level0 row102\" >1387</th>\n",
       "      <td id=\"T_f8cef_row102_col0\" class=\"data row102 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/fHWdoS\">tool-or-service/fHWdoS</a></td>\n",
       "      <td id=\"T_f8cef_row102_col1\" class=\"data row102 col1\" >fHWdoS</td>\n",
       "      <td id=\"T_f8cef_row102_col2\" class=\"data row102 col2\" >The Observer XT</td>\n",
       "      <td id=\"T_f8cef_row102_col3\" class=\"data row102 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row103\" class=\"row_heading level0 row103\" >1391</th>\n",
       "      <td id=\"T_f8cef_row103_col0\" class=\"data row103 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/PLq5JS\">tool-or-service/PLq5JS</a></td>\n",
       "      <td id=\"T_f8cef_row103_col1\" class=\"data row103 col1\" >PLq5JS</td>\n",
       "      <td id=\"T_f8cef_row103_col2\" class=\"data row103 col2\" >Things</td>\n",
       "      <td id=\"T_f8cef_row103_col3\" class=\"data row103 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row104\" class=\"row_heading level0 row104\" >1394</th>\n",
       "      <td id=\"T_f8cef_row104_col0\" class=\"data row104 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/QskMPk\">tool-or-service/QskMPk</a></td>\n",
       "      <td id=\"T_f8cef_row104_col1\" class=\"data row104 col1\" >QskMPk</td>\n",
       "      <td id=\"T_f8cef_row104_col2\" class=\"data row104 col2\" >Tianamo</td>\n",
       "      <td id=\"T_f8cef_row104_col3\" class=\"data row104 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row105\" class=\"row_heading level0 row105\" >1396</th>\n",
       "      <td id=\"T_f8cef_row105_col0\" class=\"data row105 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/PLcChk\">tool-or-service/PLcChk</a></td>\n",
       "      <td id=\"T_f8cef_row105_col1\" class=\"data row105 col1\" >PLcChk</td>\n",
       "      <td id=\"T_f8cef_row105_col2\" class=\"data row105 col2\" >TiKiT•Musica</td>\n",
       "      <td id=\"T_f8cef_row105_col3\" class=\"data row105 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row106\" class=\"row_heading level0 row106\" >1434</th>\n",
       "      <td id=\"T_f8cef_row106_col0\" class=\"data row106 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/i2rZm1\">tool-or-service/i2rZm1</a></td>\n",
       "      <td id=\"T_f8cef_row106_col1\" class=\"data row106 col1\" >i2rZm1</td>\n",
       "      <td id=\"T_f8cef_row106_col2\" class=\"data row106 col2\" >Transcript</td>\n",
       "      <td id=\"T_f8cef_row106_col3\" class=\"data row106 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row107\" class=\"row_heading level0 row107\" >1435</th>\n",
       "      <td id=\"T_f8cef_row107_col0\" class=\"data row107 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/gH3wTO\">tool-or-service/gH3wTO</a></td>\n",
       "      <td id=\"T_f8cef_row107_col1\" class=\"data row107 col1\" >gH3wTO</td>\n",
       "      <td id=\"T_f8cef_row107_col2\" class=\"data row107 col2\" >Transcription Assistant</td>\n",
       "      <td id=\"T_f8cef_row107_col3\" class=\"data row107 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row108\" class=\"row_heading level0 row108\" >1436</th>\n",
       "      <td id=\"T_f8cef_row108_col0\" class=\"data row108 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/gAU7Vk\">tool-or-service/gAU7Vk</a></td>\n",
       "      <td id=\"T_f8cef_row108_col1\" class=\"data row108 col1\" >gAU7Vk</td>\n",
       "      <td id=\"T_f8cef_row108_col2\" class=\"data row108 col2\" >Transcription Service</td>\n",
       "      <td id=\"T_f8cef_row108_col3\" class=\"data row108 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row109\" class=\"row_heading level0 row109\" >1437</th>\n",
       "      <td id=\"T_f8cef_row109_col0\" class=\"data row109 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/kbKuVC\">tool-or-service/kbKuVC</a></td>\n",
       "      <td id=\"T_f8cef_row109_col1\" class=\"data row109 col1\" >kbKuVC</td>\n",
       "      <td id=\"T_f8cef_row109_col2\" class=\"data row109 col2\" >Transcriva</td>\n",
       "      <td id=\"T_f8cef_row109_col3\" class=\"data row109 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row110\" class=\"row_heading level0 row110\" >1469</th>\n",
       "      <td id=\"T_f8cef_row110_col0\" class=\"data row110 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/ndgsde\">tool-or-service/ndgsde</a></td>\n",
       "      <td id=\"T_f8cef_row110_col1\" class=\"data row110 col1\" >ndgsde</td>\n",
       "      <td id=\"T_f8cef_row110_col2\" class=\"data row110 col2\" >TypeWright</td>\n",
       "      <td id=\"T_f8cef_row110_col3\" class=\"data row110 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row111\" class=\"row_heading level0 row111\" >1503</th>\n",
       "      <td id=\"T_f8cef_row111_col0\" class=\"data row111 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/DrxHId\">tool-or-service/DrxHId</a></td>\n",
       "      <td id=\"T_f8cef_row111_col1\" class=\"data row111 col1\" >DrxHId</td>\n",
       "      <td id=\"T_f8cef_row111_col2\" class=\"data row111 col2\" >VIAF: The Virtual International Authority File</td>\n",
       "      <td id=\"T_f8cef_row111_col3\" class=\"data row111 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row112\" class=\"row_heading level0 row112\" >1527</th>\n",
       "      <td id=\"T_f8cef_row112_col0\" class=\"data row112 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/zzf17f\">tool-or-service/zzf17f</a></td>\n",
       "      <td id=\"T_f8cef_row112_col1\" class=\"data row112 col1\" >zzf17f</td>\n",
       "      <td id=\"T_f8cef_row112_col2\" class=\"data row112 col2\" >VIVO</td>\n",
       "      <td id=\"T_f8cef_row112_col3\" class=\"data row112 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row113\" class=\"row_heading level0 row113\" >1533</th>\n",
       "      <td id=\"T_f8cef_row113_col0\" class=\"data row113 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/DmehtL\">tool-or-service/DmehtL</a></td>\n",
       "      <td id=\"T_f8cef_row113_col1\" class=\"data row113 col1\" >DmehtL</td>\n",
       "      <td id=\"T_f8cef_row113_col2\" class=\"data row113 col2\" >VoiceThread</td>\n",
       "      <td id=\"T_f8cef_row113_col3\" class=\"data row113 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row114\" class=\"row_heading level0 row114\" >1639</th>\n",
       "      <td id=\"T_f8cef_row114_col0\" class=\"data row114 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/n4Dv8y\">tool-or-service/n4Dv8y</a></td>\n",
       "      <td id=\"T_f8cef_row114_col1\" class=\"data row114 col1\" >n4Dv8y</td>\n",
       "      <td id=\"T_f8cef_row114_col2\" class=\"data row114 col2\" >WordStat - Content Analysis & Text Mining Software</td>\n",
       "      <td id=\"T_f8cef_row114_col3\" class=\"data row114 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row115\" class=\"row_heading level0 row115\" >1641</th>\n",
       "      <td id=\"T_f8cef_row115_col0\" class=\"data row115 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/Np6zh9\">tool-or-service/Np6zh9</a></td>\n",
       "      <td id=\"T_f8cef_row115_col1\" class=\"data row115 col1\" >Np6zh9</td>\n",
       "      <td id=\"T_f8cef_row115_col2\" class=\"data row115 col2\" >WordVenture</td>\n",
       "      <td id=\"T_f8cef_row115_col3\" class=\"data row115 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row116\" class=\"row_heading level0 row116\" >1643</th>\n",
       "      <td id=\"T_f8cef_row116_col0\" class=\"data row116 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/kZ0MmE\">tool-or-service/kZ0MmE</a></td>\n",
       "      <td id=\"T_f8cef_row116_col1\" class=\"data row116 col1\" >kZ0MmE</td>\n",
       "      <td id=\"T_f8cef_row116_col2\" class=\"data row116 col2\" >WorkTop</td>\n",
       "      <td id=\"T_f8cef_row116_col3\" class=\"data row116 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row117\" class=\"row_heading level0 row117\" >1651</th>\n",
       "      <td id=\"T_f8cef_row117_col0\" class=\"data row117 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/YTVCXp\">tool-or-service/YTVCXp</a></td>\n",
       "      <td id=\"T_f8cef_row117_col1\" class=\"data row117 col1\" >YTVCXp</td>\n",
       "      <td id=\"T_f8cef_row117_col2\" class=\"data row117 col2\" >Xalan</td>\n",
       "      <td id=\"T_f8cef_row117_col3\" class=\"data row117 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row118\" class=\"row_heading level0 row118\" >1652</th>\n",
       "      <td id=\"T_f8cef_row118_col0\" class=\"data row118 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/yByBuy\">tool-or-service/yByBuy</a></td>\n",
       "      <td id=\"T_f8cef_row118_col1\" class=\"data row118 col1\" >yByBuy</td>\n",
       "      <td id=\"T_f8cef_row118_col2\" class=\"data row118 col2\" >Xena</td>\n",
       "      <td id=\"T_f8cef_row118_col3\" class=\"data row118 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row119\" class=\"row_heading level0 row119\" >1655</th>\n",
       "      <td id=\"T_f8cef_row119_col0\" class=\"data row119 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/D9FrNl\">tool-or-service/D9FrNl</a></td>\n",
       "      <td id=\"T_f8cef_row119_col1\" class=\"data row119 col1\" >D9FrNl</td>\n",
       "      <td id=\"T_f8cef_row119_col2\" class=\"data row119 col2\" >XMetal</td>\n",
       "      <td id=\"T_f8cef_row119_col3\" class=\"data row119 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row120\" class=\"row_heading level0 row120\" >1659</th>\n",
       "      <td id=\"T_f8cef_row120_col0\" class=\"data row120 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/XVVPws\">tool-or-service/XVVPws</a></td>\n",
       "      <td id=\"T_f8cef_row120_col1\" class=\"data row120 col1\" >XVVPws</td>\n",
       "      <td id=\"T_f8cef_row120_col2\" class=\"data row120 col2\" >Xournal</td>\n",
       "      <td id=\"T_f8cef_row120_col3\" class=\"data row120 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row121\" class=\"row_heading level0 row121\" >1666</th>\n",
       "      <td id=\"T_f8cef_row121_col0\" class=\"data row121 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/n1aH79\">tool-or-service/n1aH79</a></td>\n",
       "      <td id=\"T_f8cef_row121_col1\" class=\"data row121 col1\" >n1aH79</td>\n",
       "      <td id=\"T_f8cef_row121_col2\" class=\"data row121 col2\" >Yojimbo</td>\n",
       "      <td id=\"T_f8cef_row121_col3\" class=\"data row121 col3\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f8cef_level0_row122\" class=\"row_heading level0 row122\" >1682</th>\n",
       "      <td id=\"T_f8cef_row122_col0\" class=\"data row122 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/NR5Mbp\">tool-or-service/NR5Mbp</a></td>\n",
       "      <td id=\"T_f8cef_row122_col1\" class=\"data row122 col1\" >NR5Mbp</td>\n",
       "      <td id=\"T_f8cef_row122_col2\" class=\"data row122 col2\" >Zoomify</td>\n",
       "      <td id=\"T_f8cef_row122_col3\" class=\"data row122 col3\" >18</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x133854df0>"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "number_of_null_values=18\n",
    "\n",
    "myw_url_status=df_coverage_up[df_coverage_up.value==number_of_null_values]\n",
    "myclickable_table = myw_url_status.style.format({'MPUrl': utils.make_clickable})\n",
    "myclickable_table"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Coverage for training materials"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "recommended_tm='accessibleAt, contributors, externalIds, media, relatedItems'\n",
    "recommended_tm_mask=['persistentId', 'MPUrl', 'label','accessibleAt', 'contributors', 'externalIds', 'media', 'relatedItems']\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>MPUrl</th>\n",
       "      <th>persistentId</th>\n",
       "      <th>label</th>\n",
       "      <th>value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>4640</th>\n",
       "      <td>training-material/baDTwh</td>\n",
       "      <td>baDTwh</td>\n",
       "      <td>2.1 Error rates and ground truth - Text Digiti...</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4641</th>\n",
       "      <td>training-material/T3JbA2</td>\n",
       "      <td>T3JbA2</td>\n",
       "      <td>3DHOP - How To</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4642</th>\n",
       "      <td>training-material/L8gAnu</td>\n",
       "      <td>L8gAnu</td>\n",
       "      <td>3ds Max Tutorials: Introduction</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4643</th>\n",
       "      <td>training-material/H6Y1zV</td>\n",
       "      <td>H6Y1zV</td>\n",
       "      <td>8 Transcriptions of Speech - The TEI Guidelines</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4644</th>\n",
       "      <td>training-material/EHGRy5</td>\n",
       "      <td>EHGRy5</td>\n",
       "      <td>Administración de datos en R</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                         MPUrl persistentId  \\\n",
       "4640  training-material/baDTwh       baDTwh   \n",
       "4641  training-material/T3JbA2       T3JbA2   \n",
       "4642  training-material/L8gAnu       L8gAnu   \n",
       "4643  training-material/H6Y1zV       H6Y1zV   \n",
       "4644  training-material/EHGRy5       EHGRy5   \n",
       "\n",
       "                                                  label  value  \n",
       "4640  2.1 Error rates and ground truth - Text Digiti...      3  \n",
       "4641                                     3DHOP - How To      4  \n",
       "4642                    3ds Max Tutorials: Introduction      3  \n",
       "4643    8 Transcriptions of Speech - The TEI Guidelines      3  \n",
       "4644                       Administración de datos en R      2  "
      ]
     },
     "execution_count": 73,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_items_null_values=utils.getItemsWithNullValues(recommended_tm, False)\n",
    "df_tm_null_values=df_items_null_values[df_items_null_values.category=='training-material']\n",
    "df_tm_coverage=df_tm_null_values.loc[ : , recommended_tm_mask]\n",
    "df_tm_coverage['value']=df_tm_coverage.isnull().sum(axis=1)\n",
    "#df_coverage.isnull().sum(axis=1)\n",
    "df_tm_coverage_up=df_tm_coverage[['MPUrl', 'persistentId', 'label', 'value']] \n",
    "df_tm_coverage_up.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "value\n",
       "1    117\n",
       "2    131\n",
       "3    125\n",
       "4     13\n",
       "5      1\n",
       "Name: label, dtype: int64"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "labels_tm=df_tm_coverage_up.groupby('value').count()['label']\n",
    "labels_tm.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "ax = fig.add_axes([0,0,1,1])\n",
    "ax.axis('equal')\n",
    "explode = [0.3,0.3,0.3,0.3,0.3,0.3,0.3,0.3,0.3,0.3,0.3]\n",
    "\n",
    "ax.pie(labels_tm.values, labels = labels_tm.index,   autopct='%1.2f%%', radius = 2)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3.2 Description lengh\n",
    "For the `description` attribute, there should not be any null_values (this is a mandatory attribute and it is automatically filled with \"No description provided\" when it is empty at the ingest stage), so we want to list the items with a description length less than 25 and more than 1500 characters.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "df_all_items=pd.concat([df_tool_flat, df_publication_flat, df_trainingmaterials_flat, df_workflows_flat, df_datasets_flat], ignore_index=True)\n",
    "df_items = df_all_items.replace(utils.empty_description, np.nan)\n",
    "alt_ed_string=utils.empty_description.replace('.','')\n",
    "df_items = df_items.replace(alt_ed_string, np.nan)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(12, 6))\n",
    "ax.hist(df_items['description'].str.len(),  bins=100)\n",
    "ax.set_title('Description Length')\n",
    "ax.set_xlabel('Characters in description')\n",
    "ax.set_ylabel('Frequency');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "There are 2933 items with empty descriptions,  3 items with description shorter than 25 characters, 78 Items with description longer than 1500 characters,  3292 Items with description between 25 and 1500 characters.\n"
     ]
    }
   ],
   "source": [
    "minchars=25\n",
    "maxchars=1500\n",
    "\n",
    "df_items_d = df_items[(df_items['description'].notnull()) & (df_items['description'].str.len()>=minchars) & (df_items['description'].str.len()<=maxchars)]\n",
    "\n",
    "df_items_min = df_items[(df_items['description'].notnull()) & (df_items['description'].str.len()<minchars)]\n",
    "\n",
    "df_items_max = df_items[(df_items['description'].notnull()) & (df_items['description'].str.len()>maxchars)]\n",
    "\n",
    "print (f\"\\nThere are {df_items['description'].isna().sum()} items with empty descriptions, \"+\n",
    "       f\" {df_items_min['description'].count()} items with description shorter than {minchars} characters,\"+\n",
    "f\" {df_items_max['description'].count()} Items with description longer than {maxchars} characters, \"+\n",
    "      f\" {df_items_d['description'].count()} Items with description between {minchars} and {maxchars} characters.\")\n",
    "       "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The distribution of empty descriptions in items by item sources"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "source.label\n",
       "SSK Zotero Resources             125\n",
       "Standardization Survival Kit       1\n",
       "TAPoR                              4\n",
       "The Programming Historian          2\n",
       "dblp: DH Publications           2801\n",
       "Name: label, dtype: int64"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_empty_desc=df_items[df_items['description'].isna()]\n",
    "df_empty_desc.groupby('source.label').count()['label']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "*The next cell creates a table with a clickable url for items having description shorter than 25 characters*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style type=\"text/css\">\n",
       "</style>\n",
       "<table id=\"T_f14ca_\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th class=\"blank level0\" >&nbsp;</th>\n",
       "      <th class=\"col_heading level0 col0\" >MPUrl</th>\n",
       "      <th class=\"col_heading level0 col1\" >category</th>\n",
       "      <th class=\"col_heading level0 col2\" >source.label</th>\n",
       "      <th class=\"col_heading level0 col3\" >label</th>\n",
       "      <th class=\"col_heading level0 col4\" >description</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th id=\"T_f14ca_level0_row0\" class=\"row_heading level0 row0\" >195</th>\n",
       "      <td id=\"T_f14ca_row0_col0\" class=\"data row0 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/o2X2Sl\">tool-or-service/o2X2Sl</a></td>\n",
       "      <td id=\"T_f14ca_row0_col1\" class=\"data row0 col1\" >tool-or-service</td>\n",
       "      <td id=\"T_f14ca_row0_col2\" class=\"data row0 col2\" >TAPoR</td>\n",
       "      <td id=\"T_f14ca_row0_col3\" class=\"data row0 col3\" >Chartle</td>\n",
       "      <td id=\"T_f14ca_row0_col4\" class=\"data row0 col4\" >Create simple charts.\n",
       "</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f14ca_level0_row1\" class=\"row_heading level0 row1\" >918</th>\n",
       "      <td id=\"T_f14ca_row1_col0\" class=\"data row1 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/tool-or-service/5jMQ6a\">tool-or-service/5jMQ6a</a></td>\n",
       "      <td id=\"T_f14ca_row1_col1\" class=\"data row1 col1\" >tool-or-service</td>\n",
       "      <td id=\"T_f14ca_row1_col2\" class=\"data row1 col2\" >SSK Zotero Resources</td>\n",
       "      <td id=\"T_f14ca_row1_col3\" class=\"data row1 col3\" >Offline Getting Started and Manual (pdf)</td>\n",
       "      <td id=\"T_f14ca_row1_col4\" class=\"data row1 col4\" >Last Update: 14.12.2017</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f14ca_level0_row2\" class=\"row_heading level0 row2\" >3402</th>\n",
       "      <td id=\"T_f14ca_row2_col0\" class=\"data row2 col0\" ><a target=\"_blank\" href=\"https://marketplace.sshopencloud.eu/publication/vwL2JV\">publication/vwL2JV</a></td>\n",
       "      <td id=\"T_f14ca_row2_col1\" class=\"data row2 col1\" >publication</td>\n",
       "      <td id=\"T_f14ca_row2_col2\" class=\"data row2 col2\" >SSK Zotero Resources</td>\n",
       "      <td id=\"T_f14ca_row2_col3\" class=\"data row2 col3\" >Multitemporal 3D modelling for cultural heritage emergency during seismic events: Damage assesment of S. Agostino church in Amatrice (RI)</td>\n",
       "      <td id=\"T_f14ca_row2_col4\" class=\"data row2 col4\" >6</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x14121aef0>"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rend_desc_table_df=df_items_min[['MPUrl', 'category', 'source.label','label', 'description']]\n",
    "clickable_shortdesc_table = rend_desc_table_df.style.format({'MPUrl': utils.make_clickable})\n",
    "clickable_shortdesc_table"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3.3 Media quality\n",
    "--- still under discussion: how to check thumbnail and media quality?  "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 4. Contextualisation quality \n",
    "\n",
    "We want to know how well interlinked the items are in the Marketplace. \n",
    "One option could be to have a table presenting:\n",
    "- as columns, three options: less than 4 relations; between 4 and 10 relations; more than 10 relations\n",
    "- as raws, the item types OR the sources provenance\n",
    "\n",
    "values given as results should ideally be clickable and lead to the list of items individuated by the count.\n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 6. Activity coverage\n",
    "\n",
    "We want to see an overview of the activity coverage in the Marketplace dataset, in a dedicated section of the notebook, because this is an important field. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [],
   "source": [
    "#the type.code value used as filter value\n",
    "typecode='activity'\n",
    "df_list_of_properties_sources=utils.getAllPropertiesBySources()\n",
    "#filter properties by type.code\n",
    "df_list_of_activity_properties=df_list_of_properties_sources[df_list_of_properties_sources[\"type.code\"]==typecode]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>MPUrl</th>\n",
       "      <th>type.code</th>\n",
       "      <th>type.label</th>\n",
       "      <th>type.type</th>\n",
       "      <th>type.groupName</th>\n",
       "      <th>type.hidden</th>\n",
       "      <th>type.ord</th>\n",
       "      <th>type.allowedVocabularies</th>\n",
       "      <th>concept.code</th>\n",
       "      <th>concept.vocabulary.code</th>\n",
       "      <th>...</th>\n",
       "      <th>concept.notation</th>\n",
       "      <th>concept.uri</th>\n",
       "      <th>concept.candidate</th>\n",
       "      <th>value</th>\n",
       "      <th>concept.definition</th>\n",
       "      <th>ts_label</th>\n",
       "      <th>persistentId</th>\n",
       "      <th>label</th>\n",
       "      <th>source.label</th>\n",
       "      <th>category</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>tool-or-service/SIU1nO</td>\n",
       "      <td>activity</td>\n",
       "      <td>Activity</td>\n",
       "      <td>concept</td>\n",
       "      <td>Categorisation</td>\n",
       "      <td>False</td>\n",
       "      <td>17</td>\n",
       "      <td>[{'code': 'tadirah2', 'scheme': 'https://vocab...</td>\n",
       "      <td>capturing</td>\n",
       "      <td>tadirah2</td>\n",
       "      <td>...</td>\n",
       "      <td></td>\n",
       "      <td>https://vocabs.dariah.eu/tadirah/capturing</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>140kit</td>\n",
       "      <td>SIU1nO</td>\n",
       "      <td>140kit</td>\n",
       "      <td>TAPoR</td>\n",
       "      <td>tool-or-service</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>tool-or-service/SIU1nO</td>\n",
       "      <td>activity</td>\n",
       "      <td>Activity</td>\n",
       "      <td>concept</td>\n",
       "      <td>Categorisation</td>\n",
       "      <td>False</td>\n",
       "      <td>17</td>\n",
       "      <td>[{'code': 'tadirah2', 'scheme': 'https://vocab...</td>\n",
       "      <td>analyzing</td>\n",
       "      <td>tadirah2</td>\n",
       "      <td>...</td>\n",
       "      <td></td>\n",
       "      <td>https://vocabs.dariah.eu/tadirah/analyzing</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>140kit</td>\n",
       "      <td>SIU1nO</td>\n",
       "      <td>140kit</td>\n",
       "      <td>TAPoR</td>\n",
       "      <td>tool-or-service</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>tool-or-service/SIU1nO</td>\n",
       "      <td>activity</td>\n",
       "      <td>Activity</td>\n",
       "      <td>concept</td>\n",
       "      <td>Categorisation</td>\n",
       "      <td>False</td>\n",
       "      <td>17</td>\n",
       "      <td>[{'code': 'tadirah2', 'scheme': 'https://vocab...</td>\n",
       "      <td>visualAnalysis</td>\n",
       "      <td>tadirah2</td>\n",
       "      <td>...</td>\n",
       "      <td></td>\n",
       "      <td>https://vocabs.dariah.eu/tadirah/visualAnalysis</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>140kit</td>\n",
       "      <td>SIU1nO</td>\n",
       "      <td>140kit</td>\n",
       "      <td>TAPoR</td>\n",
       "      <td>tool-or-service</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>tool-or-service/SIU1nO</td>\n",
       "      <td>activity</td>\n",
       "      <td>Activity</td>\n",
       "      <td>concept</td>\n",
       "      <td>Categorisation</td>\n",
       "      <td>False</td>\n",
       "      <td>17</td>\n",
       "      <td>[{'code': 'tadirah2', 'scheme': 'https://vocab...</td>\n",
       "      <td>gathering</td>\n",
       "      <td>tadirah2</td>\n",
       "      <td>...</td>\n",
       "      <td></td>\n",
       "      <td>https://vocabs.dariah.eu/tadirah/gathering</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>140kit</td>\n",
       "      <td>SIU1nO</td>\n",
       "      <td>140kit</td>\n",
       "      <td>TAPoR</td>\n",
       "      <td>tool-or-service</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>tool-or-service/rdwzoM</td>\n",
       "      <td>activity</td>\n",
       "      <td>Activity</td>\n",
       "      <td>concept</td>\n",
       "      <td>Categorisation</td>\n",
       "      <td>False</td>\n",
       "      <td>17</td>\n",
       "      <td>[{'code': 'tadirah2', 'scheme': 'https://vocab...</td>\n",
       "      <td>programming</td>\n",
       "      <td>tadirah2</td>\n",
       "      <td>...</td>\n",
       "      <td></td>\n",
       "      <td>https://vocabs.dariah.eu/tadirah/programming</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4th Dimension</td>\n",
       "      <td>rdwzoM</td>\n",
       "      <td>4th Dimension</td>\n",
       "      <td>TAPoR</td>\n",
       "      <td>tool-or-service</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 25 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                     MPUrl type.code type.label type.type  type.groupName  \\\n",
       "1   tool-or-service/SIU1nO  activity   Activity   concept  Categorisation   \n",
       "4   tool-or-service/SIU1nO  activity   Activity   concept  Categorisation   \n",
       "5   tool-or-service/SIU1nO  activity   Activity   concept  Categorisation   \n",
       "8   tool-or-service/SIU1nO  activity   Activity   concept  Categorisation   \n",
       "23  tool-or-service/rdwzoM  activity   Activity   concept  Categorisation   \n",
       "\n",
       "    type.hidden  type.ord                           type.allowedVocabularies  \\\n",
       "1         False        17  [{'code': 'tadirah2', 'scheme': 'https://vocab...   \n",
       "4         False        17  [{'code': 'tadirah2', 'scheme': 'https://vocab...   \n",
       "5         False        17  [{'code': 'tadirah2', 'scheme': 'https://vocab...   \n",
       "8         False        17  [{'code': 'tadirah2', 'scheme': 'https://vocab...   \n",
       "23        False        17  [{'code': 'tadirah2', 'scheme': 'https://vocab...   \n",
       "\n",
       "      concept.code concept.vocabulary.code  ... concept.notation  \\\n",
       "1        capturing                tadirah2  ...                    \n",
       "4        analyzing                tadirah2  ...                    \n",
       "5   visualAnalysis                tadirah2  ...                    \n",
       "8        gathering                tadirah2  ...                    \n",
       "23     programming                tadirah2  ...                    \n",
       "\n",
       "                                        concept.uri concept.candidate value  \\\n",
       "1        https://vocabs.dariah.eu/tadirah/capturing             False   NaN   \n",
       "4        https://vocabs.dariah.eu/tadirah/analyzing             False   NaN   \n",
       "5   https://vocabs.dariah.eu/tadirah/visualAnalysis             False   NaN   \n",
       "8        https://vocabs.dariah.eu/tadirah/gathering             False   NaN   \n",
       "23     https://vocabs.dariah.eu/tadirah/programming             False   NaN   \n",
       "\n",
       "   concept.definition       ts_label persistentId          label source.label  \\\n",
       "1                 NaN         140kit       SIU1nO         140kit        TAPoR   \n",
       "4                 NaN         140kit       SIU1nO         140kit        TAPoR   \n",
       "5                 NaN         140kit       SIU1nO         140kit        TAPoR   \n",
       "8                 NaN         140kit       SIU1nO         140kit        TAPoR   \n",
       "23                NaN  4th Dimension       rdwzoM  4th Dimension        TAPoR   \n",
       "\n",
       "           category  \n",
       "1   tool-or-service  \n",
       "4   tool-or-service  \n",
       "5   tool-or-service  \n",
       "8   tool-or-service  \n",
       "23  tool-or-service  \n",
       "\n",
       "[5 rows x 25 columns]"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_list_of_activity_properties.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 4183 entries, 1 to 36235\n",
      "Data columns (total 25 columns):\n",
      " #   Column                        Non-Null Count  Dtype \n",
      "---  ------                        --------------  ----- \n",
      " 0   MPUrl                         4183 non-null   object\n",
      " 1   type.code                     4183 non-null   object\n",
      " 2   type.label                    4183 non-null   object\n",
      " 3   type.type                     4183 non-null   object\n",
      " 4   type.groupName                4183 non-null   object\n",
      " 5   type.hidden                   4183 non-null   bool  \n",
      " 6   type.ord                      4183 non-null   int64 \n",
      " 7   type.allowedVocabularies      4183 non-null   object\n",
      " 8   concept.code                  4183 non-null   object\n",
      " 9   concept.vocabulary.code       4183 non-null   object\n",
      " 10  concept.vocabulary.scheme     4183 non-null   object\n",
      " 11  concept.vocabulary.namespace  4183 non-null   object\n",
      " 12  concept.vocabulary.label      4183 non-null   object\n",
      " 13  concept.vocabulary.closed     4183 non-null   object\n",
      " 14  concept.label                 4183 non-null   object\n",
      " 15  concept.notation              4183 non-null   object\n",
      " 16  concept.uri                   4183 non-null   object\n",
      " 17  concept.candidate             4183 non-null   object\n",
      " 18  value                         0 non-null      object\n",
      " 19  concept.definition            262 non-null    object\n",
      " 20  ts_label                      4183 non-null   object\n",
      " 21  persistentId                  4183 non-null   object\n",
      " 22  label                         4183 non-null   object\n",
      " 23  source.label                  3813 non-null   object\n",
      " 24  category                      4183 non-null   object\n",
      "dtypes: bool(1), int64(1), object(23)\n",
      "memory usage: 821.1+ KB\n"
     ]
    }
   ],
   "source": [
    "df_list_of_activity_properties.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [],
   "source": [
    "tt_a_df=df_list_of_activity_properties.groupby(['concept.label', 'source.label']).count()['label'].unstack('source.label')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x1296 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#change values in the next lines to resize the table\n",
    "fig, ax = plt.subplots(figsize=(12, 18))\n",
    "sns.heatmap(tt_a_df, annot=True, linewidths=0.1, fmt='.0f', ax=ax, cbar=None, cmap='Blues', linecolor='gray')\n",
    "ax.set_xticklabels(ax.get_xticklabels(), rotation=30, ha='right')\n",
    "ax.set_yticklabels(ax.get_yticklabels(), rotation=0)\n",
    "ax.invert_yaxis()\n",
    "ax.set_xlabel(None)\n",
    "ax.set_ylabel(None)\n",
    "#sns.heatmap(df, linewidths=2, linecolor='yellow')\n",
    "title = typecode+' properties by Source provider\\n'\n",
    "plt.title(title, loc='left', fontsize=20)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# SSHOC Market Place Data Library\n",
    "A Python library for download and process the SSHOC marketPlace dataset. \n",
    "The libary has been designed to be used by the SSHOC Curation Module and provides a set of ad hoc functions that can be used in Python Notebooks or programs.\n",
    " \n",
    "## Usage\n",
    "\n",
    "To use the library functionalities: \n",
    "\n",
    "A - create an instance of mplib.MPData, and loads locally the MP data. The function:\n",
    "\n",
    "#### getMPItems (category: str, local: boolean) -> DataFrame\n",
    "\n",
    "downloads MP dataset and store it locally. The data is provided as a Data Frame i.e. data is organized in a tabular fashion and columns are labeled with the names of the attribites in MP datamodel.\n",
    "\n",
    "\n",
    " Example:\n",
    "```Python \n",
    " from mplib import MPData as mpd\n",
    "\n",
    " mpdata = mpd()\n",
    " ts_df=mpdata.getMPItems (\"pubblications\", True)\n",
    "```\n",
    "\n",
    "the data is returned as a Data Frame:\n",
    "\n",
    "<table>\n",
    "<tr>\n",
    "\t<th>id</th><th>\tcategory</th><th>\tlabel</th><th>\tpersistentId</th><th>\tlastInfoUpdate</th><th>\tstatus</th><th>\tdescription</th><th>\tcontributors</th><th>\tproperties</th><th>\texternalIds</th>\n",
    "    </tr><tr>\n",
    "<td>10414</td><td>\tpublication</td><td>\t3D-ICONS -- 3D Digitisation of Icons of Europe...</td><td>\tjOum8c</td><td>\t2021-06-23T17:03:55+0000</td><td>\tapproved</td><td>\t3D-ICONS was a pilot project funded under the ...\t</td><td>[]</td><td>\t[{'id': 41261, 'type': {'code': 'language', 'l...\t</td><td>[]</td>\n",
    " </tr><tr>\n",
    "<td>7454</td><td>\tpublication</td><td>\t4 Default Text Structure - The TEI Guidelines</td><td>\tY3Vmhy</td><td>\t2021-06-22T13:30:43+0000</td><td>\tapproved</td><td>\tNo description provided.</td><td>\t[]</td><td>\t[{'id': 41094, 'type': {'code': 'language', 'l...\t</td><td>[]</td>\n",
    " </tr><tr>\n",
    "<td>10738</td><td>\tpublication</td><td>\t9 Dictionaries - The TEI Guidelines</td><td>\tvQ7Bvs</td><td>\t2021-06-23T17:04:34+0000</td><td>\tapproved</td><td>\tNo description provided.</td><td>\t[]</td><td>\t[{'id': 41163, 'type': {'code': 'language', 'l...\t</td><td>[]</td><td>\n",
    " </tr>\n",
    "</table>\n",
    "\n",
    "\n",
    "B - use the helper functions to analyse the Market Place data, for example the function below returns the number of null values for all propertes in each item category:\n",
    "\n",
    "#### getNullValues()-> DataFrame\n",
    "\n",
    "\n",
    "Example:\n",
    "```Python \n",
    " from mplib import helper as hlpr\n",
    "\n",
    " utils = hlpr.Util()\n",
    " nv_df=utils.getNullValues()\n",
    "```\n",
    "\n",
    "\n",
    "Returns:\n",
    "<TABLE>\n",
    "    <tr>\n",
    "    <th>category <br>property: missed values</th><th>dataset</th><th>publication</th><th>tool-or-service</th><th>\ttraining-material</th><th>\tworkflow</th><th>\n",
    "        </tr><tr>\n",
    "<td>accessibleAt</td><td>\t1</td><td>\t7</td><td>\t475</td><td>\t14</td><td>\t1</td>\n",
    "    </tr><tr>\n",
    "<td>composedOf</td><td>\t305</td><td>\t137</td><td>\t1671</td><td>\t321</td><td>\t0</td>\n",
    "    </tr><tr>\n",
    "<td>concept.candidate</td><td>\t46</td><td>\t5</td><td>\t157</td><td>\t0</td><td>\t0</td>\n",
    "    </tr>\n",
    "    <tr>\n",
    "<td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td>\n",
    "    </tr>\n",
    "\n",
    "</TABLE> \n",
    "  \n",
    "\n",
    "\n",
    "## Installation\n",
    "It is recommended to install library in the virtual environment to avoid dependency clash. In order to install it enter cloned directory and install it via pip with explicit requirements.txt from the project.\n",
    "\n",
    "- Clone the repository, enter the directory and install requirements:\n",
    "```bash\n",
    "git clone https://gitlab.gwdg.de/sshoc/marketplace-curation.git\n",
    "cd marketplace-curation\n",
    "pip install ./ -r ./requirements.txt\n",
    "```\n",
    "\n",
    "- Edit the config.yaml.template file and set the values, then rename the file as *config.yaml*\n",
    "\n",
    "- Create a folder called 'data' in the same folder of your notebooks/programs\n",
    "```\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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