Machine learning

Stage 1 · Lesson 7 of 9

Charts that make one clear point

Python for data

Charts are how you spot problems in data and how you explain results to people who will not read a table. Learn 's object style, fig, ax = plt.subplots(), because pandas plotting and libraries like seaborn are built on it. Match the chart to the question.

A shows how one number is spread out. A shows how two numbers relate. A line chart shows change over time, and a bar chart compares categories.

Every chart should make one point. Give it a title that states that point, both axes with units, and pick a sensible scale.

Common trapa default chart with unlabelled axes, or a bar chart whose y-axis does not start at zero, which makes small differences look big.

A question to check yourself, an AI practice session and 1 cheat sheet entry come with the full roadmap. Unlock

Resources for this stage

Start with· follow one of these

Practise

  • The Python, Pandas and Data Visualization micro courses, in browser notebooks

Keep handy

  • Start with 10 minutes to pandas, then look up indexing, groupby and reshaping

  • Quick NumPy, pandas and Matplotlib lookups with a try-it editor

Mark this stage as not done?