Which Chart Should You Use? Infographic Chart Selection Guide

The fastest way to make an infographic confusing is to use the wrong chart. People search for "bar vs line vs pie" because they want a simple rule for what fits their data.

This guide gives you a clear chart selection framework and quick examples.

Start with the data question

Ask what you are trying to show:

• Compare values between categories
• Show change over time
• Show parts of a whole
• Show distribution or correlation
• Show location based data

Once you know the question, the chart type becomes obvious.

Chart types and when to use them

Bar chart

Best for: comparing categories

Use bars to compare values across products, regions, or options. Bar charts are the safest choice in most infographics.

Line chart

Best for: trends over time

If your data is time based, line charts show growth or decline clearly. Use one to three lines for readability.

Pie or donut chart

Best for: simple parts of a whole

Only use pie charts when you have 2 to 5 slices. If there are too many segments, use a bar chart instead.

Stacked bar chart

Best for: parts of a whole across categories

Great for showing composition by category, like revenue by product over regions.

Area chart

Best for: magnitude over time

Area charts work when you want to show volume or cumulative change. Use minimal colors to keep it clean.

Scatter plot

Best for: correlation

If you are showing the relationship between two metrics, scatter plots are the right call. Add labels for key points.

Map

Best for: geographic data

Use maps for location based insights, like regional sales or population data. Keep labels large and the color scale simple.

Table or matrix

Best for: exact values

If precise numbers matter, a small table can be clearer than a chart. Keep it short and clean.

Simple chart selection rules

• If it is time based, start with a line chart
• If it is category based, use bars
• If it is composition, use stacked bars or a simple donut
• If it is location based, use a map
• If it is correlation, use a scatter plot

When in doubt, bar charts win. They are the most readable on mobile.

Common mistakes to avoid

• Too many colors in one chart
• Mixing too many chart types in a single infographic
• Using 3D charts that distort values
• Labeling every data point when a highlight would do

Clarity beats decoration every time.

How Vix AI helps with chart selection

When you upload CSV data to Vix AI, it automatically chooses chart types based on your dataset. It:

• Detects whether the data is time based or categorical
• Selects the most readable chart style
• Applies consistent colors and labels
• Builds a clean layout around the visuals

You can regenerate to try a different approach, but the default is optimized for clarity.

Key takeaways

• Chart choice depends on the question your data answers
• Bar charts are best for categories, line charts for time
• Avoid pie charts with many slices
• Keep colors and labels simple for mobile readability