Dataflake Documentation
  • Home
    • Welcome to Dataflake
    • FAQs
  • Get Started
    • Create my first dashboard
    • Share my dashboard
  • Data Sources
    • PostgreSQL
    • MySQL
    • ClickHouse
    • BigQuery
    • Microsoft SQL Server
    • Flat files
    • Public Dataset
    • Edit, Rename, Delete a Data Source
  • Query
    • Add a query
    • Edit, Delete a query
  • Visualizations
    • Create a chart
    • Chart types
      • Bar chart
      • Pie chart
      • Line chart
      • Horizontal bar chart
      • Mixed chart
      • Card chart
      • Table
      • Bubble chart
      • Scatter chart
      • Sankey Diagram
      • Map chart
  • Manage charts
    • Copy a chart
    • Delete a chart
    • Move a chart
    • Duplicate a chart
  • Custom charts
    • Quick styling toolbar
    • Right styling panel
  • Dashboard
    • Add a dashboard
    • Dashboard Templates
    • Manage Dashboard
    • Manage Legend Color
    • Manage chart labels
    • UI elements
    • JSON Card
  • Drilldowns
    • Zoomed-in Analysis
    • Table Chart Comparison & Running
    • Graph Max/ Min/ Average
    • Filter/ Data Control
  • Email Scheduling
    • Create an email delivery Schedule
    • Stop email delivery
  • Share/ Embed
    • Share/ Embed Dashboard link
    • Embed Iframe
  • Security
    • Security Overview
Powered by GitBook
On this page
  • When should we use a map chart?
  • Create a map chart
  • Style a map chart
  • Advanced styling options

Was this helpful?

Export as PDF
  1. Visualizations
  2. Chart types

Map chart

PreviousSankey DiagramNextManage charts

Last updated 1 year ago

Was this helpful?

When should we use a map chart?

A map chart, also known as a geographical map or choropleth map, is a type of chart that visualizes data based on geographic locations. It uses color-coded or shaded regions to represent values of a variable across different geographical areas.

Create a map chart

Read this section to learn about how to create a chart

Style a map chart

Read to learn about how to use quick styling toolbar

Advanced styling options

Read this section to learn about styling chart with many advanced options

here
this section
here