Pick the right chart

- A short social carousel explained when to use bar, line, pie, scatter, histogram, area, heatmap, and map charts. - The guide used ten slides and a demo video to show common chart choices in practice. - These practical posts and a charts‑choice flowchart argue visual selection remains a hands‑on skill, even with fast AI demos ( ).

Choosing a chart is still a reporting decision, not a button click: the basic rule is to match the graphic to the question in the data. (datawrapper.de) Datawrapper’s chart guide says bar charts work best for comparing categories, line charts for change over time, pie charts for simple parts-of-a-whole, and scatter plots for relationships between two numeric variables. (datawrapper.de) The same guide places histograms and heatmaps in the “distribution” bucket, area charts in the “developments over time” bucket, and choropleth, symbol, and locator maps in the geography bucket. (datawrapper.de) Highcharts’ current Chart Chooser uses the same sorting logic: start with the data type and the objective, then narrow the options to comparison, trend, composition, distribution, relationship, or geography. (highcharts.com) That framework matters because chart errors usually come from using the wrong visual grammar. Flourish says the wrong chart can produce confusion or misinterpretation even when the underlying numbers are correct. (flourish.studio) The practical rules are simple. Use bars when readers need to compare sizes across groups, use lines when time is the main axis, and use scatter plots when the point is whether two measures move together. (datawrapper.de) Use a histogram when you need to show how values are distributed across ranges, and use a heatmap when the table is too dense to read cell by cell and color can show the pattern faster. (datawrapper.de) Use an area chart only when the filled shape adds information about accumulated volume over time; if the task is just tracking change, a line is usually cleaner. Datawrapper lists both line and area charts under time-based charts, but treats them as different choices. (datawrapper.de) Maps need the same restraint. Datawrapper separates choropleth maps for rates across regions, symbol maps for point values, and locator maps for showing where something is. (datawrapper.de) Pie charts remain the narrowest tool in the box. Datawrapper includes them for part-to-whole displays, but its guide limits them to simple shares with only a few categories because angle and area are harder to compare than bar lengths. (datawrapper.de) The larger point is that modern chart tools can generate many formats from the same spreadsheet, but they do not remove the underlying choice. Highcharts says users still have to identify both the data type and the communication objective before picking the graphic. (highcharts.com)

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