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data_visualization's Introduction

Hello, and Welcome!

This repo is created by Alia and Lavender to develop in-depth analysis using different open data sources related to an urban or suburban environment.

Who are we?

Two engineering school grads passionate about extracting data to explore environmental and cultural matters of big cities. To start, we are focusing on NYC and Toronto at this moment and expanding to other mega metropolitans!

What do we explore?

Any urban matters, you name it, we are possibly on the way to dig it up. This repo will include but not limited to following topics:

Transportation, Energy & Infrastructure

Urban Ecology & Agriculture

Air Quality & Heat Island Effect

Food and Drinks

Community & Housing

Residents' Voice

Education

Economic & Financial Investment

We love to make data colourful!

Webcolour: https://en.wikipedia.org/wiki/Web_colors

What do we used?

We love Python libraries and D3

Python libraries:

Data processing & Wrangling:

Numpy

Pandas

Geopandas

Stats:

Scipy

Visualization:

Matplotlib

Bokeh

Plotly

[Seaborn] (https://seaborn.pydata.org/)

Machine Learning:

Scikit Learn

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