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- Different types of charts to record data include1234:
- Donut and pie charts (for composition)
- Area charts (for trends over time)
- Stacked bar, percent, and column charts (for data composition overview)
- Dual-axis charts (to show relationship between data sets)
- Heatmaps (for large and complex numeric data)
Learn more:✕This summary was generated using AI based on multiple online sources. To view the original source information, use the "Learn more" links.Donut and pie charts are great choices to show composition when simple proportions are useful. Area charts put the composition of data within the context of trends over time. Stacked bar, percent, and column charts show an overview of the data’s composition.cloud.google.com/blog/products/data-analytics/diffe…Dual-axis charts combine two different charts to show the relationship between data sets of different scales. Pie charts are circular graphs and charts divided into slices to represent the size of each component variable. Heatmaps use colors on a grid to represent large and complex numeric data.userpilot.com/blog/types-of-charts/But with so many popular types of charts and graphs including line graphs, bar graphs, pie charts, bubble charts, scatter plots, and histograms, how do you know what are the best options for your industry, project, or data? Picking the right chart or graph doesn't have to be difficult.www.visme.co/blog/types-of-graphs/Different Types of Graphs for Data Visualization
- 1. Bar Graph
- 2. Line Graph
- 3. Bullet Graph
- 4. Column + Line Graph
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