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  2. When choosing an appropriate chart for data visualization, consider the following types123:
    • Distribution: Use this type to interpret univariate analysis results.
    • Comparison: Compare numbers effectively.
    • Composition: Provide a bird's-eye view of data.
    • Correlation: Display the relationship between two numerical variables.
    • Pie Charts: Show parts of a whole, but avoid using them for too many categories.
    • Scatter Plots: Perfect for displaying relationships between numerical variables.
    • Histograms: Depict the distribution and frequency of numerical data.
    Learn more:
    How to Choose the Right Chart for Data Visualization ? Understand what type of data you have (numbers, categories, time-based). Look for patterns or relationships in your data. Figure out what you want to say or show with your data. Think about the key points or comparisons you want to make.
    entri.app/blog/how-to-choose-the-right-chart-for-dat…

    How to Choose the Most Appropriate Chart?

    • 1. Distribution This type of data visualization helps to interpret univariate analysis result in the early analytical stage. ...
    www.visual-design.net/post/choose-the-right-chart
    Pie Charts: Use these to show parts of a whole, but avoid them for more than a few categories due to readability issues. Scatter Plots: Perfect for displaying the relationship between two numerical variables. Histograms: Depict the distribution and frequency of numerical data.
    www.funwithdata.ca/resources/selecting-the-right-c…
     
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