Group-View: Stacked vs. Side-by-side Charts

You can view compared data groups (such as by gender) using  stacked or side-by-side charts.

  • Stacked charts shows each compared group stacked on each other. The groups do not overlap, so it is easier observe overall trends, and combined group totals.
  • Side-by-by charts shows each compared group on the same baseline. This can improve making one-to-one comparison between data groups.

You can switch the mode with just a single click, and use relative distributions with both options. All aggregate charts in a dashboard use the same group view mode.


How can you enable side-by-side or stacked charts?

  • Click on the icon next to the compared summary on the top panel of the dashboard, or
  • Use the dashboards config panel, via the gear  icon on upper-left dashboard corner.

Example

Breakdown of trends across quadrants (regions) in a dataset of homicides.

Breakdown of trends across quadrants, using their relative distribution across race & time.


When can you use stacked charts?

Keshif helps you prevent misleading data analysis when stacking selections would be inaccurate or inappropriate.

  • The aggregation function should not be "average".
    Example: You cannot stack "average-age" of males and females.
  • The aggregation function should not be "total/sum" with a metric that includes negative values.
    Example: You cannot stack "total-temperature", as temperature may be negative.
  • The compared attribute cannot be a multi-valued categorical attribute.
    Example: You cannot stack "people who like apples" and "people who like oranges". There are some people who like both, so their stacked (combined) sum will be incorrect for analysis.

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