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What’s New

Qrvey 8.7
Version 8.7 of the Qrvey platform is now available to customers! This version includes new features including area charts, the ability to pivot and export data, as well as numerous bug fixes and performance improvements.
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Qrvey 8.6
Version 8.6 of the Qrvey platform is now available to customers. This version includes several new feature enhancements and performance improvements.
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Required Update for 8.5.1
Attention 8.5.1 customers: for any 8.5.1 instance deployed prior to 08/05/2024, an update is required to ensure you are running the latest images.
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Qrvey 8.5
Version 8.5 (LTS) of the Qrvey platform is now available to customers. This version includes several new features and performance improvements.
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End-of-life Schedule
We've added a new article that lists the features and endpoints that have been scheduled for deprecation. All features and endpoints will be supported for (1) year after the release date of the LTS version that contains the alternative.
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Version: 8.6

Choropleth Map

Choropleth maps are a type of heatmap and are suitable for visualizing geographical divides of areas or regions, shaded in relation to the aggregated values. Usually, the darker, more intense colors are associated with larger data values. These are best for visualizing how a measurement varies across various geographical regions. For example, showing ranges of income across different zip codes, or ranges in the number of organ donors across different countries. The region over which analysis is run has to be picked. Choropleth Map supports all countries, along with the US states and cities.

choropleth

Required Columns​

Choropleth maps use one geolocation column to determine regions on the map, and a value column to be measured in those locations. Before you can create a Map Chart, your data needs to be prepared for the correct use of maps which is done by adding a Geolocation to your data. Every Map Chart needs at least one geolocation group to identify the parts of an address that will be used for positioning locations on the map. This can be set in the Design section of Datasets. It's important to define these groups correctly for accurate map locations.

For more information, see Overview of Geolocation Groups.

When to Use It​

The type of analysis that can be best performed with a choropleth map usually involves the variations of a measure over its range and geographical regions. The questions that lead to choosing a choropleth map for visualization are “How does each [geolocation] fare against others in terms of [measure]?” or “In which range of [measure] does each [geolocations] fall?” Examples of this type of analysis include:

  • “How does the average amount of rainfall in each state compare to each other?” Or “Which states get more rainfall than others?”
  • “Where, in the range of far left to far right, does each zip code’s voting statistics fall?”

Note that the question is never “how may”, or “how much”. For getting definite numbers that are the answers to such questions, use a Bubble Map.

Creating a Choropleth Map​

To create a Choropleth Map, drag and drop a data field from a geolocation group into the Geolocation shelf and a measure as the Values field. The data in the selected measure will be divided into 5 equal ranges by default and each range associated with a color from the color sequence of the selected theme. Each region of the selected geolocation column is colored according to where it falls in the range of the selected measure.

In the case below, we want to compare sales in US cities. We drag and drop country as Geolocation, and quantity as Values. Then we go to the General section to add Total Price to the Tooltip and choose Currency as the Values Format. In the Styles section, we set the Theme that matches our visualization needs. Note that it may make better sense to use a theme with a gradient in many heatmap cases.

choropleth

Styling the Choropleth Map​

In the Configuration Panel on the right of the Chart Builder, you can style different aspects of your map.

General​

The General section is available for all chart types, and the options vary depending on the chart selected. For more information on the options, see General Chart Settings.

Styles​

The Styles section enables you to control various visual elements of the charts, such as colors, labels, and more. It is available for most chart types, and the options vary depending on the chart selected. For a glossary of all styles, see Styles. Style options specific to this chart are listed below.

  • Theme - Set one of the predetermined themes for shading your regions. In most cases, it makes sense to use a gradient spectrum for a choropleth map.
  • Map Region - Choose one of the predetermined areas as the initial view of the map -- you can always zoom in or out of the chosen area.
  • Map Borders - Show or hide country and region borders on your map.
  • Custom Scale - By default, the choropleth map divides the range of data, from the smallest value to the largest, into 5 equal buckets and assigns each one color from a spectrum of five. You can change which range of data to depict in the heatmap by choosing the lower and upper limit, and decide how many buckets to break the range into, by choosing the Color Steps:
    • Color Steps - the number of different colors used in the chart.
    • Min Range - set the minimum of the Values data field you want to show.
    • Max Range - set the maximum of the Values data field you want to show.
  • Reversed Colors - Reverse the sequence of the colors applied from the theme.
  • Data Labels - Show or hide value labels of your data points.

Format​

You can apply Conditional Formatting to Choropleth Maps.

Filters​

You can also add Filters to your data by expanding the Filters section in the configuration panel or clicking on the Filters button in the toolbar above the canvas. Filters that are created in the Chart Builder are hidden from End Users. These types of filters can’t be edited or interacted with in the view mode. For more information, see Filters.

For more on Choropleth Maps and other Map charts, we recommend watching the Map Chart video.