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4 Charts
Relationship Charts
Explore correlations and connections between variables
Scatter Plot
beginnerReveal correlations and patterns between two continuous variables.
Best for:
- Exploring the relationship between two continuous variables
- Identifying correlations (positive, negative, none)
- Spotting clusters, outliers, and anomalies
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Bubble Chart
intermediateExtend a scatter plot with a third variable encoded as bubble size.
Best for:
- Three continuous variables where size adds meaningful information
- Country/market comparisons (e.g., GDP vs. life expectancy vs. population)
- Product portfolio analysis (e.g., revenue vs. growth vs. market size)
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Heatmap
intermediateEncode values as colors in a matrix to reveal patterns across two categorical dimensions.
Best for:
- Revealing patterns in a matrix of two categorical dimensions
- Calendar/activity data (GitHub contribution graph)
- Correlation matrices between variables
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Correlation Matrix
advancedDisplay pairwise correlations between all variables in a dataset as a colored grid.
Best for:
- Exploratory data analysis with many numeric variables
- Feature selection for machine learning models
- Understanding multicollinearity in regression
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