Tables represent quantitative information where precise values can be required in some cases. However, this is not exclusive in this information age. My personal favorite method of using tables treats them as a raw data export into Microsoft Excel and Google Sheets for detailed analysis.

1. Table

• In this chart, we are displaying Users by Age Group and comparing them with previous time periods.

Recommended: Yes [Table A]

• Both Tables and Pivot Tables can handle large data sets, and in many cases, these two charts are the most suitable for displaying a large data set. Please use the chart type that best suits your need.

2. Table With Bars

• In this chart, we are displaying Users by Age Group

Recommended: Yes [Table A]

• The "Table with bars" is very similar to the "Table chart" except that the "Table with bars" has the option to display the value as horizontal bars. It’s possible to display both Bars and Bars with Numbers.

3. Table With Heatmap

• In this chart, we are displaying Users by Age Group

Recommended: Yes [Table A]

• A "Table with heatmap" is also similar to the "Table chart" except for the heatmap, which adds additional visual comparison where the highest value will have the highest color contrast.

4. A personal favorite, a RAW table can handle and display large sets of data. Treat tables as raw data for export into Excel/Google Sheets for a custom chart or detailed analysis.

RAW data table which consists of all the reporting metrics and dimensions of the report.