The Best Chart Types for Your Data (And When to Use Each)
Choosing the right chart type is the difference between a clear insight and a confusing graphic. Here's a practical guide to help you pick the right one every time.
The quick rule
Ask yourself: what am I trying to show?
- Comparison between items → Bar chart
- Trend over time → Line chart
- Proportion of a whole → Pie or doughnut chart
- Relationship between two variables → Scatter plot
- Distribution of values → Histogram or bar chart
- Part-to-whole over time → Stacked bar chart
Chart types explained
Bar Chart
The workhorse of data visualization. Use it when you want to compare values across distinct categories — sales by region, revenue by product, tasks by status. Horizontal bars work well when category names are long.
Line Chart
Shows how values change over a continuous period — stock prices, website traffic, temperature. Use multiple lines to compare trends. Keep it to 3-5 lines max or it becomes unreadable.
Pie Chart
Shows how a whole is divided into parts — market share, budget allocation, survey responses. Use sparingly and only when you have 2-6 categories. More than that, use a bar chart instead.
Scatter Plot
Plots two variables against each other to reveal patterns — height vs. weight, price vs. demand, ad spend vs. sales. Look for clusters, outliers, and trends in the dots.
Doughnut Chart
Like a pie chart but with a hollow center — useful for displaying a key metric (like total revenue) in the middle while showing breakdown around it.
Radar Chart
Shows multiple variables for a single entity — skill ratings, product feature scores, performance metrics across dimensions. Best for 3-8 variables.
Common mistakes to avoid
- Using a pie chart for too many categories. If you have more than 6 slices, switch to a bar chart.
- Starting the Y-axis at a non-zero value. It exaggerates differences and can mislead readers.
- Using 3D charts. They distort perception and add no value. Stick to 2D.
- Too many data series. If your chart has 8+ lines or bars, it's hard to read. Split into multiple charts.
- Wrong chart for the data. A line chart implies continuity. Don't use it for discrete categories like "Apples, Oranges, Bananas."
When to use interactive charts
Static charts work for reports and presentations. Interactive charts work when your audience wants to explore — hover for details, filter by category, zoom into time ranges.
Tools like VizFlow let you create interactive charts from CSV data without writing code. The chart is generated client-side, so you can share it via URL without uploading data to a server.
Create your chart now
Drop a CSV file and VizFlow will recommend the best chart type for your data.
Open VizFlow