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0010-Final-Project

Our project to determine the best neighborhood in Pittsburgh.

TEAM NAME: All Across The World

MEMBERS: Keyon Hedayati (USA) Minhal Khan (India) Zhen Wu (China)

LINKS AND DESCRIPTIONS OF DATA:

Keyon

The datasets I will be using will be of the Pittsburgh local food gardens, and Smart Trash can locations.

Forbes: https://www.forbes.com/sites/learnvest/2017/08/02/10-things-you-should-look-for-when-choosing-a-new-neighborhood/?sh=65171b6b5fbc Smart Trash Info: https://www.smartcitiesdive.com/news/pittsburghs-smart-garbage-cans-help-streamline-public-works/559156/#:~:text=The%20smart%20cans%20have%20sensors,most%20efficient%20routes%20for%20collection

Food Garden Data: https://data.wprdc.org/dataset/0d8c9708-3f01-48c4-adff-04d29825c9a2/resource/dbdfcb3e-8fa5-4468-9b05-f69562798f7a/download/growpghgardens201712.csv Smart Trash Data: https://data.wprdc.org/datastore/dump/75b83ac9-8069-4cf1-bcc3-b9e6b04487d9

Zhen

I use the dataset of public art in Pittsburgh neighborhoods. According to https://www.smartcitiesdive.com/ex/sustainablecitiescollective/how-tough-neighborhood-building-stronger-future-vivid-public-art/91756/, public art makes the neighborhoods more vibrant and improves the social environment. It is a spirit of innovation and a tag of the inner-city culture.

Public Art Data: https://data.wprdc.org/dataset/city-of-pittsburgh-public-art/resource/00d74e83-8a23-486e-841b-286e1332a151?view_id=7c4a2734-ec64-46a0-95ad-39d4fe599ae0

Minhal

I'll be using facilities and population density datasets from the WPRDC.

Facilities: https://data.wprdc.org/datastore/dump/fbb50b02-2879-47cd-abea-ae697ec05170

Population Density 2010: https://data.wprdc.org/dataset/40188e1c-6d2e-4f20-9391-607bd3054949/resource/8ac5c768-09ba-43a8-829f-ce4a417d20fb/download/population-density.csv

TLDR:

Going by Forbes report of 'Top 10 Things to Look for in a Neighborhood', we decided to judge best neighborhoods by community, cleanliness, recreation and art. We decided to move away from traditional first thought measures such as crime. We wanted to find neighborhoods that give back, and are pleasant to live in.