Multiple Distribution visualization

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Coordinate Systems and Axes in Data Visualization

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Color Scales in Data Visualization

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Color is a powerful tool in data visualization. It can be used to: Differentiate between categories: Colors can be assigned to different categories of data to make them visually distinct. For example, in a bar chart, you might use different colors to represent different product categories. Bar chart with different colors for product categories Represent quantitative values: Colors can be used to represent the magnitude of a quantitative variable. For example, in a heatmap, you might use a gradient of colors from red to blue to represent temperature, with red representing higher temperatures and blue representing lower temperatures. Heatmap with gradient colors representing temperature Highlight trends and patterns: Colors can be used to highlight trends and patterns in your data. For example, in a line chart, you might use a different color for each line to show how different variables change over time. Line chart with different colors for trend lines However, it's important to use...
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Time Series Visualization

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