diff --git a/src/analyse_exploratoire.ipynb b/src/analyse_exploratoire.ipynb
index a11a143..f01fa4d 100644
--- a/src/analyse_exploratoire.ipynb
+++ b/src/analyse_exploratoire.ipynb
@@ -17,40 +17,52 @@
},
{
"cell_type": "code",
- "execution_count": 7,
+ "execution_count": 1,
+ "metadata": {
+ "ExecuteTime": {
+ "end_time": "2023-10-18T16:48:13.502498383Z",
+ "start_time": "2023-10-18T16:48:13.459258341Z"
+ },
+ "collapsed": false
+ },
"outputs": [],
"source": [
"import matplotlib.pyplot as plt\n",
"import numpy as np\n",
"import pandas as pd\n",
"import seaborn as sns"
- ],
- "metadata": {
- "collapsed": false,
- "ExecuteTime": {
- "end_time": "2023-10-18T16:48:13.502498383Z",
- "start_time": "2023-10-18T16:48:13.459258341Z"
- }
- }
+ ]
},
{
"cell_type": "code",
- "execution_count": 8,
+ "execution_count": 2,
"metadata": {
"ExecuteTime": {
"end_time": "2023-10-18T16:48:13.770440929Z",
"start_time": "2023-10-18T16:48:13.762830438Z"
}
},
- "outputs": [],
+ "outputs": [
+ {
+ "ename": "AttributeError",
+ "evalue": "module 'seaborn' has no attribute 'set_thme'",
+ "output_type": "error",
+ "traceback": [
+ "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
+ "\u001b[1;31mAttributeError\u001b[0m Traceback (most recent call last)",
+ "\u001b[1;32mc:\\Users\\jules\\Desktop\\Cours\\DataScience\\analyse-survie\\src\\analyse_exploratoire.ipynb Cell 4\u001b[0m line \u001b[0;36m2\n\u001b[0;32m 1\u001b[0m np\u001b[39m.\u001b[39mrandom\u001b[39m.\u001b[39mseed(\u001b[39m0\u001b[39m)\n\u001b[1;32m----> 2\u001b[0m sns\u001b[39m.\u001b[39;49mset_thme()\n",
+ "\u001b[1;31mAttributeError\u001b[0m: module 'seaborn' has no attribute 'set_thme'"
+ ]
+ }
+ ],
"source": [
"np.random.seed(0)\n",
- "sns.set_theme()"
+ "sns.set_thme()"
]
},
{
"cell_type": "code",
- "execution_count": 9,
+ "execution_count": null,
"metadata": {
"ExecuteTime": {
"end_time": "2023-10-18T16:48:14.241486985Z",
@@ -81,7 +93,7 @@
},
{
"cell_type": "code",
- "execution_count": 10,
+ "execution_count": null,
"metadata": {
"ExecuteTime": {
"end_time": "2023-10-18T16:48:15.288824938Z",
@@ -102,7 +114,7 @@
},
{
"cell_type": "code",
- "execution_count": 11,
+ "execution_count": null,
"metadata": {
"ExecuteTime": {
"end_time": "2023-10-18T16:48:15.744803710Z",
@@ -130,7 +142,7 @@
},
{
"cell_type": "code",
- "execution_count": 12,
+ "execution_count": null,
"metadata": {
"ExecuteTime": {
"end_time": "2023-10-18T16:48:16.427628004Z",
@@ -154,7 +166,7 @@
},
{
"cell_type": "code",
- "execution_count": 13,
+ "execution_count": null,
"metadata": {
"ExecuteTime": {
"end_time": "2023-10-18T16:48:17.368521019Z",
@@ -245,7 +257,7 @@
},
{
"cell_type": "code",
- "execution_count": 14,
+ "execution_count": null,
"metadata": {
"ExecuteTime": {
"end_time": "2023-10-18T16:48:18.510971979Z",
@@ -255,7 +267,32 @@
"outputs": [
{
"data": {
- "text/plain": "['cat1',\n 'cat2',\n 'cat3',\n 'cat4',\n 'cat5',\n 'cat6',\n 'cat7',\n 'cat8',\n 'cat9',\n 'cat10',\n 'cat11',\n 'cat12',\n 'cat13',\n 'cat14',\n 'cat15',\n 'curr1',\n 'curr2',\n 'curr3',\n 'curr4',\n 'curr5',\n 'curr6',\n 'Status',\n 'facebook_connected',\n 'has_video']"
+ "text/plain": [
+ "['cat1',\n",
+ " 'cat2',\n",
+ " 'cat3',\n",
+ " 'cat4',\n",
+ " 'cat5',\n",
+ " 'cat6',\n",
+ " 'cat7',\n",
+ " 'cat8',\n",
+ " 'cat9',\n",
+ " 'cat10',\n",
+ " 'cat11',\n",
+ " 'cat12',\n",
+ " 'cat13',\n",
+ " 'cat14',\n",
+ " 'cat15',\n",
+ " 'curr1',\n",
+ " 'curr2',\n",
+ " 'curr3',\n",
+ " 'curr4',\n",
+ " 'curr5',\n",
+ " 'curr6',\n",
+ " 'Status',\n",
+ " 'facebook_connected',\n",
+ " 'has_video']"
+ ]
},
"execution_count": 14,
"metadata": {},
@@ -273,7 +310,7 @@
},
{
"cell_type": "code",
- "execution_count": 15,
+ "execution_count": null,
"metadata": {
"ExecuteTime": {
"end_time": "2023-10-18T16:48:19.612581658Z",
@@ -294,7 +331,7 @@
},
{
"cell_type": "code",
- "execution_count": 16,
+ "execution_count": null,
"metadata": {
"ExecuteTime": {
"end_time": "2023-10-18T16:48:21.783224926Z",
@@ -315,7 +352,7 @@
},
{
"cell_type": "code",
- "execution_count": 17,
+ "execution_count": null,
"metadata": {
"ExecuteTime": {
"end_time": "2023-10-18T16:48:22.546082892Z",
@@ -406,20 +443,29 @@
},
{
"cell_type": "markdown",
- "source": [
- "# Visualisations"
- ],
"metadata": {
"collapsed": false
- }
+ },
+ "source": [
+ "# Visualisations"
+ ]
},
{
"cell_type": "code",
- "execution_count": 18,
+ "execution_count": null,
+ "metadata": {
+ "ExecuteTime": {
+ "end_time": "2023-10-18T16:48:31.895454571Z",
+ "start_time": "2023-10-18T16:48:31.628286356Z"
+ },
+ "collapsed": false
+ },
"outputs": [
{
"data": {
- "text/plain": ""
+ "text/plain": [
+ ""
+ ]
},
"execution_count": 18,
"metadata": {},
@@ -427,8 +473,10 @@
},
{
"data": {
- "text/plain": "