Data Visualization Workout 14 - Crafting Meaningful Plots

Title: Data Visualization: Crafting Meaningful Plots


Data visualization is the art of representing data in a visual context. Grasp the basics of effective data visualization techniques and the principles behind creating insightful plots in this workout.


You’re given a series of data visualization plots, along with datasets. Your task is to match them correctly, understand the stories they tell, and suggest improvements.


By the end of this workout, you should be able to:

  1. Identify different types of data visualizations and their best use cases.

  2. Critically analyze plots for their effectiveness and clarity.

Interactive Task:

Given the following datasets and plots, match them correctly:

  1. Dataset: Monthly sales data for 5 years.

    • Plot Options:

      • i) Pie chart

      • ii) Line chart

      • iii) Scatter plot

      • iv) Bar chart

  2. Dataset: Distribution of student grades in a class.

    • Plot Options:

      • i) Histogram

      • ii) Donut chart

      • iii) Radar chart

      • iv) Heatmap

  3. Given the following plot (a hypothetical bar chart showing sales of various products), suggest one improvement to make the visualization clearer:

    • [Image: Bar Chart]

    • Your Suggestion: ________________________


  1. Which type of visualization is best suited for showing the relationship between two continuous variables?

    • i) Pie chart

    • ii) Scatter plot

    • iii) Bar chart

    • iv) Line chart

  2. What is a common pitfall to avoid when designing data visualizations for a broad audience?

    • i) Using too many colors.

    • ii) Making the visualization interactive.

    • iii) Using a legend.

    • iv) Keeping the design simple and clear.

Duration: 25 minutes

Difficulty: Beginner to Intermediate

1 Like

ii) Line chart
i) Histogram
ii) Scatter plot
i) Using too many colors

Awesome, thanks for participating.

testing a few things and will be rolling out a new workouts program soon