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Data Analytics: Statistics & Data Visualization

Choosing the Right Chart

Plot first, summarise second — and choose a chart from the question you are answering, not from a menu.

Level
Beginner
Lessons
3
Total time
42 min
Simulations
3
1 free lessonIncluded in Data Analytics: Statistics & Data Visualization · $9
Tools you'll use
  • Python
  • pandas
  • NumPy
Skills
  • Exploratory data analysis
  • Chart selection
  • matplotlib
Try it now — free

This is the real simulation from the module. No account needed.

What you will be able to do

  • Explain why summary statistics can mislead
  • Pick a chart type from the analytical question

Syllabus

3 lessons · 42 min

Every lesson's title and summary is public. The lessons themselves open once you own the track. The lesson marked free can be read in full right now, no account needed.

Every lesson in Data Analytics: Statistics & Data Visualization

  1. Plot Before You Summarise

    14 min

    Identical means, standard deviations and correlations can hide data of completely different shapes. One chart catches what all those numbers miss.

    FreeRead it free Simulation

  2. Charts for Presentation

    15 min

    An exploratory chart finds the result; a presentation chart delivers it. Titles that state the finding, direct labels, and removing everything that does not help.

    Included with the track Simulation

  3. Colour and Accessibility

    13 min

    Categorical, sequential and diverging palettes do three different jobs — and one in twelve male readers cannot tell your red from your green.

    Included with the track
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