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Data analysis for social impact - what are the tools? A 2hr tutorial.

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Data Analysis for Social Impact - skill share session

Data analysis for social impact - what are the tools?

This workshop works great to get you and your team started with interactive data analysis (roughly 2hrs long). Introduces you to:

By the end you will know how to take messy data from HDX and create an interactive map like this:

Guinea ebola deaths

Previously shown at the Geneva Impact Hub: [Data analysis for social impact] (https://geneva.impacthub.net/event/data-analysis-training-for-social-impact/)

You can view the slides online.

This is a preview for a two day course on Data Science for Social Impact. Contact [email protected] directly for more information.

Install instructions

  • Download Open Refine, install and start it. Should open a new browser window. If not surf to http://localhost:3333
  • Anaconda is a python distribution that is easy to install and contains a large number of commonly used libraries. Download anaconda, make sure to get the python3.5 version.

Notebooks

  1. Intro to python
  2. Intro to pandas
  3. Zurich bikes
  4. Analysing ebola cases
  5. Intro to maps
  6. Interactive maps

Try it out

You can try part of the material out live, in the cloud. Simply click on the binder badge:

Binder

Datasets

The ebola datset in this tutorial was downloaded from HDX and are available there for free.

Guinea prefectures borders can be downloaded from GADM. Country: Guinea File Format: Shapefile Gives you GIN_adm_shp.zip, extract it to social-impact-teaser/gin_adm.

The Zurich bike data comes from Zurich Open Data.

License

Creative Commons License
Data Analysis for Social Impact by Tim Head is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

All images are from unsplash. Ebola data are taken from HDX.

Thanks to Peter Waller for inspiration and GIFs.

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