Data Visualization
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What it is
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is a process turning raw data into a visual representation to ease understanding, analysis, and insights' communications from that dataset
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Chart-selection guidance for statistics-and-probability-polban
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Selecting a graph
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Categories: Bar Chart; parts of a whole: Pie Chart; change across an ordered variable: Line Chart
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Numerical Distributions: Frequency Histogram, Frequency Polygon, Stem-and-Leaf Diagram, or Box Plot
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Cumulative frequencies: Ogive
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Interpretation
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Read the title, units, population, time interval, axis scale, and denominator before comparing values.
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A numerical label does not automatically make a graph a histogram: bars can represent categories such as hours or product codes.
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Counts, percentages, and monetary totals answer different questions; a large transaction count does not necessarily imply the largest sales value.
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Unavailable reference