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minicourse_open_data_natal_2019's Introduction

Python to Open Data

This mini-course is part of OpenDataDay Natal and aims to introduce the libraries and modern tools to manipulate, process and visualize data using Python programming language. The analysis target is an open dataset of urban mobility provided by the Municipal Government of Natal.

Syllabus

  • Pandas basics
  • Plotting with Pandas and Matplotlib
  • Advanced plotting with Seaborn/Plotly/Bokeh
  • Geospatial Data Visualization

Authors

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minicourse_open_data_natal_2019's Issues

Course Structure

Program:

Python/Pandas/Numpy/Plot Intro (hour 1 and 2)
Open data Natal: Urban Mobility (hour 3 and 4)
Prof. Ivan's course on CBA 2018 (use as base program): https://github.com/ivanovitchm/cba2018/

Natal Mobility Data: http://dados.natal.br/

What to use:

Bus Stops data
Bus Routes data
Billing data
We must structure a formal program to be subimitted to the conference organization.

Update column reference

Update description of first exercise of "Line plots" (2_pandas_plot.ipynb): Change name of "GUANABARA - UBR" to "GUANABARA - URB"

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