Correlation charts include:

1. Scatterplot charts
2. Bubble charts
3. Column and line charts
4. Heatmap charts

Types of correlation charts 

Correlation charts show correlation between two or more variables.

Use cases include:

Income and life expectancy

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- Change over time
- Category comparison
- Ranking
- Part-to-whole
- Correlation
- Distribution
- Flow
- Relationship

Types of Charts

Part-to-whole charts show how partial elements add up to a total.

Use cases include:

Consolidated revenue of product categories
Budgets

Part-to-whole

Distribution charts show how often each values occur in a dataset.

Use cases include:

Population distribution
Income distribution

Distribution

Multiple types of charts can be suitable for depicting data. The guidelines below provide insight into how to choose one chart over another.
- Showing Change Over Time
- Bar and Pie Charts
- Area Charts

Selecting Charts

Relationship charts show how multiple items relate to one another.

Use cases include:

- Social networks
- Word charts
- Types of Relationship Charts

Relationship Charts

Flow charts show the movement of data between multiple states.

Use cases include:

- Fund transfers
- Vote counts 
- Election results

Flow Charts

Change over time charts show data over a period of time, such as trends or comparisons across multiple categories.

Common use cases include:

- Stock price performance
- Health statistics
- Chronologies

Change Over Time Charts

Category comparison charts compare data between multiple distinct categories.

Use cases include:

- Income across different countries
- Popular venue times
- Team allocations

Category Comparison Charts 

Ranking charts show an item’s position in an ordered list.

Use cases include:

- Election results
- Performance statistics

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