Visualization types in Databricks

This article outlines the types of visualizations available to use in Databricks.


A boxplot shows the distribution summary of numerical data, optionally grouped by category. See Boxplot visualization.

Example boxplot visualization

Charts: line, bar, area, pie

Visualizations that use X and Y axes are called charts. See Chart visualizations. The charts covered include:

  • Line charts

Line chart
  • Bar charts

Bar chart
  • Area charts

Area chart
  • Pie charts

Pie chart


A cohort analysis examines the outcomes of predetermined groups, called cohorts, as they progress through a set of stages. See Cohort visualization.

Cohort chart


The counter visualization simply counts the number of columns or rows.

Counter display


The funnel visualization analyzes two fields from your query: step and value.

Funnel display


A histogram plots the frequency that a given value occurs in a dataset. See Histogram visualization.

Histogram example


There are two types of map visualizations: choropleth and marker. See Map visualization.


Example map choropleth visualization


Example marker map visualization


The heatmap visualization allows you to visualize numerical data using colors. See Heatmap visualization.

Heatmap display

Pivot table

The pivot table visualization aggregates records from a query result into a new tabular display. It’s similar to PIVOT or GROUP BY statements in SQL. See Pivot table visualization.

Pivot table display


A sankey diagram visualizes the flow from one set of values to another.

Sankey display


A sunburst diagram helps visualize hierarchical data using concentric circles.

Sunburst display


The table visualization displays data in a standard table, but with the ability to manually reorder, hide, and format the data. See Table visualization.

Word cloud

A word cloud visually represents the frequency a word occurs in the data.

Word cloud display