Statistical Graphs
Bar graphs, line graphs, pie charts
Start with the basics and progress through 7 lessons. Each lesson builds on the previous one.
0 of 7 lessons done
Test Your Knowledge
10 questions, new mix each time (from 109)
In This Topic (7 lessons)
Reading Bar Graphs
Learn how to read and interpret bar graphs to understand data at a glance.
Reading Line Graphs
Learn how to read and interpret line graphs to understand data trends over time.
Reading Pie Charts
Learn how to read and interpret pie charts to understand data at a glance.
Dot Plots
Learn how to create and interpret dot plots to display and analyze data.
Frequency Tables
Learn how to organize data into frequency tables and interpret the results.
Histograms
Learn how to read and create histograms to display continuous data distributions.
Box Plots (Box and Whisker)
Learn to create and interpret box plots to visualize data distribution using the five-number summary.
Graphs and charts transform numbers into visual stories. Choosing the right visualization for your data—bar graphs, line graphs, pie charts, histograms, or scatter plots—helps communicate information clearly and reveals patterns that numbers alone might hide.
What You'll Learn
- Create appropriate graphs for different data types
- Read and interpret various chart types
- Choose the best visualization for your purpose
- Identify misleading graphs
- Label and title graphs correctly
Frequently Asked Questions
When do I use each type of graph?
Bar: comparing categories. Line: showing change over time. Pie: showing parts of a whole. Histogram: distribution of continuous data. Scatter: relationship between two variables.
What makes a graph misleading?
Truncated axes, inconsistent scales, cherry-picked data ranges, 3D effects that distort comparisons, and missing labels can all mislead viewers.
What should every graph include?
Title, labeled axes with units, clear legend if needed, appropriate scale, and data source if applicable.