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Data wrangling in Python

This repo extensively explores data wangling using Python, mainly using Pandas and Numpy. I also cover data visualization and analysis using matplotlib, seaborn and folium for map representation.

The data used was obtained from survey forms. Such data is often unstructured and requires a great deal of wrangling to make it usable for analysis.

There are two projects covered here:

  • National Small Business Survey using data from a 2015 survey on small businesses that covers a range of questions and attributes

  • UNEB Exam Performance using data on the performance of students at PLE, UCE and UACE in Uganda from 2011 to 2015

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Extensive data wrangling in Python prior to analysis

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