Data Science in Python: Energy Supply and GDP

Assignment three of Introduction to Data Science in Python (University of Michigan) involves working with multiple datasets and combining the data that they contain. Continue reading Data Science in Python: Energy Supply and GDP

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Charting in Python: Misleading Visuals

The very first assignment for the University of Michigan course Applied Plotting, Charting & Data Representation in Python is to find a graphic that poorly represents the data it is meant to visualise, and is therefore misleading to the audience of whichever medium it is a part. Continue reading Charting in Python: Misleading Visuals

Data Science in Python: Olympic Gold

The first assignment for the University of Michigan course ‘Introduction to Data Science in Python’ on Coursera requires some basic data cleaning, and analysis using Pandas. Continue reading Data Science in Python: Olympic Gold

Charting in Python: Weather Data

This post explores weather data – more specifically, daily maximum and minimum temperatures – for the Netherlands between 2005 and 2015, as part of Assignment II in the Coursera course ‘Applied Plotting, Charting & Data Representation in Python’ by the University of Michigan. Continue reading Charting in Python: Weather Data