Test your knowledge on different types of data visualizations, their uses, and best practices. See how well you understand the tools and concepts that bring data to life!
1. What is the main use of a scatter plot?
To display data in a linear form
To summarize categorical data
To show parts of a whole
To show correlations between variables
2. Which visualization method is best for representing parts of a whole?
Pie Chart
Bar Graph
Scatter Plot
Line Graph
3. What should you ensure when creating a line chart to represent data accurately?
Avoid using a legend
Highlight each data point
Start y-axis at an arbitrary point
Add context through annotations
4. What is a common mistake to avoid when using pie charts?
Using different pie sizes
Using too many colors
Not adding up to 100%
Not labeling each slice
5. Which type of chart is used to represent data on a map?
Bubble Chart
Column Chart
Geo Chart
Histogram
6. What is the first step in reading data visualizations effectively?
Analyze the colors and shapes
Compare the axes and labels
Check the legend and units
Read the title and description
7. Which graph type is best for identifying trends over time?
Pie Chart
Line Chart
Bar Graph
Scatter Plot
8. How can data misrepresentation occur when using cumulative graphs?
Oversimplifying important variables
Starting the x-axis at zero
Using varied color schemes
Adding context labels
9. What is the best choice for depicting the relationship between three variables?
Geo Chart
Line Chart
Bubble Chart
Column Chart
10. Which type of visualization is particularly useful for highlighting trends and outliers?
Scatter Plot
Pie Chart
Line Chart
Histogram
11. Why should you avoid truncating the y-axis in data visualizations?
It simplifies comparisons
It can exaggerate differences
It obscures the legend
It adds visual clutter
12. When might you use a column chart instead of other chart types?