Advantages: Suitable for in-depth

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data analysis and modeling, and can create highly customized charts. Applicable people: Statisticians, data scientists. Opens in a new window r-statistics.co R ggplot2 example 5. Google Data Studio Features: Free, easy to use, suitable for creating simple reports and dashboards. Advantages: High integration with Google products such as Google Analytics and Google Sheets. Applicable people: Individual users, small and medium-sized enterprises.



Opens in a new window tellyourtale.com Google Data Email List Studio interface How to choose the right data visualization software? Data source: Consider the data source types and connection methods supported by the software. Functional requirements: Different software has different functional features, choose the one that meets your needs. Ease of use: If you are not familiar with programming, you can choose software that uses drag-and-drop operations.






Cost: Evaluate the purchase cost and the cost of using the software. Community support: Strong community support can provide timely help and solutions. Best practices for data visualization Choose the right chart type: Different data types are suitable for different chart types. Keep it simple: The chart should be concise and clear, highlighting the key information. Choose the right color: Colors can convey different information, but pay attention to the color matching. Add annotations: Add titles, axis labels, legends, etc. to help the audience better understand the chart. Tell a story: Data visualization is not just about displaying data, but also about telling a story.