This course has given you a brief introduction to the tools that can help you read in, analyse and plot your data.

This has been only a brief introduction. You can learn more from these excellent free online resources:


Looking at ggplot2: Elegant Graphics for Data Analysis, can you find how to make the graph of average decadal temperature plotted in the last section prettier? Change the axis titles to Temperature / °C and Year, and change the points colour to red.

[Optional] Change the colour of the points so that low temperatures are blue and higher temperatures are red.


Once you’re happy with the concepts in this course, you may also want to look at the Text and Sentiment Analysis in R course which starts to show how to perform text and sentiment analysis using R.


This workshop is based on Introduction to Data Analysis in Python, by Matt Williams. All text is published under a Creative Commons Attribution 4.0 International License with all code snippets licensed as MIT.

The source for the material can be found on GitHub where fixes are welcome.