Bar Chart

Bar charts are one of the most fundamental and widely-used visualization types for comparing discrete categories. Each bar represents a category, with its length or height proportional to the value it represents. Bar charts are excellent for showing differences between groups, ranking items, and presenting survey results. They can be oriented horizontally or vertically, and extended to grouped or stacked variations for multi-dimensional comparisons.

Example Visualization

Bar chart comparing average scores across 5 groups with error bars

Try this prompt

"Use matplotlib.pyplot or seaborn to create a bar chart comparing the 'Average Score' for 5 different 'Groups'. Add error bars representing the standard deviation. Generate a proper example dataset to demonstrate this visualization."

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Common Use Cases

1Comparing performance across categories
2Displaying survey or poll results
3Showing sales by product or region
4Ranking items by value

Pro Tips

Sort bars by value for easier comparison (unless order matters)

Use horizontal bars for long category labels

Include error bars when showing statistical measures