Customer Insights Visualization Reference

Table visualizations can be customized using the instructions below.

Column Visualizations display data as a set of vertical bars, with the height of each bar proportional to the underlying data (the higher number the taller the bar).

What is the difference between a column and a bar chart? When is it most appropriate to use each? And how can a bar chart be customized?

Scatterplots show the correlation between two variables. Scatterplots do a particularly good job of helping you identify data outliers and anomalies.

Line Charts display information as a series of data points connected by lines. They are typically used to illustrate data trends over time.

Area Charts represent cumulated totals over time. The area chart is similar to a line chart except that the space beneath the line is filled in to help emphasis the overall totals.

Pie charts show numerical proportions and are most meaningful when the slices together make up 100%.

Maps plot data based on geographic region, and are most useful when there are definite high data points and definite low data points.

Single Value Visualizations emphasize a single value in your dataset. The value displayed in the visualization is always taken from the very first row in your returned dataset.

Funnel charts are composed of a single set of numbers and are typically used to show the reduction in data from one phase of a scenario to the next.

Timeline charts compare items over time.

Regional Static Maps provide a way to map data by country or by US state.

Point-based Static Maps display data by postal code or by location.

Donut charts are simply pie charts with a hole in the center. The “multiples” part of donut multiples comes from the fact that a visualization can contain more than one donut chart.

The Single Record Visualization displays all the field values for a single record.