Chart Type Recommender
Answer 4 quick questions about your data and get an instant recommendation for the best chart type to use.
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How to choose the right chart type
The best chart type depends on three things: what kind of data you have, how many variables you are comparing, and what story you want to tell.
Common chart types and when to use them
Bar chart: Comparing categories. Use when you have discrete groups and want to show magnitude differences.
Line chart: Showing trends over time. Best when time is on the x-axis and you want to show change.
Scatter plot: Showing the relationship between two numeric variables. Great for correlation analysis.
Pie / Donut chart: Showing part-to-whole relationships. Only use with fewer than 6 categories.
Histogram: Showing the distribution of a single numeric variable.
Heatmap: Showing patterns in a matrix of two categorical variables.
Box plot: Comparing distributions across groups, including median, quartiles and outliers.
Frequently asked questions
Can I use a pie chart for more than 5 categories? Technically yes, but it becomes very hard to read. Use a bar chart instead.
When should I use a log scale? When your data spans multiple orders of magnitude — for example revenue data that ranges from $100 to $10,000,000.