Components
Build interactive dashboards with components.
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Build interactive dashboards with components.
Last updated
Was this helpful?
Components can be added to quickly create interactive and informative dashboards. Each component serves a specific purpose, providing unique insights and facilitating data analysis and exploration. By combining these components together, you can explore, compare, and interpret complex datasets with ease to make informed decisions.
This feature is only available to customers on the Enterprise plan. To upgrade, contact sales.
There are two ways to add components to a layer:
Directly from the Components the toolbar
Or from the Components tab in the Style Editor
The Measure component provides map viewers with tools to measure distances and areas directly on a map. Measure components can be configured by clicking on them while editing the map.
You can provide a custom button title and configure which measurement options are available to map viewers.
The Find component enables map viewers to search locations and layers by entering keywords in the search box.
Find components can be configured by clicking on them while editing the map. You can provide a custom button title and configure what parts of the map are searchable, including locations and specific data from layers on the map.
The spatial filter component enables viewers to filter layers and export the filtered results by drawing a shape on the map.
Selecting a spatial filter shows the number of features filtered, along with details about the size and shape of the filtered region.
Spatial filters can be configured by clicking on them while editing the map. You can set a custom button title, select which types of spatial filters to offer (polygon, circle, or both), and specify which layers are filtered.
To let viewers export the results of a spatial filter, toggle on Export data from within Map settings. Once the setting is on, a download icon will be available to all logged-in viewers from the spatial filter panel. Logged-out viewers can use the spatial filter component to filter data on the map, but are unable to export the results.
Spatial filters work great alongside other components set to “Update based on other filters”. In the image below, the statistic and bar chart components are set to update based on other filters, such that they show risk stats for the spatially-filtered region. Lines and polygons that partially intersect the spatial filter are fully counted in calculated statistics.
Summarize numeric values into useful statistics to quickly understand essential metrics in your data.
Good for
Providing quick insights into key metrics like averages, totals, and min or max values.
Gaining a high-level overview of important numerical data.
Presenting summarized data for easy interpretation.
Show the total sales revenue for a quarter.
Example use case: Display the average income of residents in a city.
With the Statistic component you have the option to either show the count of features (Feature count) or summarize a numeric attribute with different stats including: Sum, Average, Min, Max or Median.
Visualize and compare categories with bar charts to easily see differences and trends between various groups in your data.
Good for
Comparing different categories or groups.
Highlighting differences and trends between multiple datasets.
Visualize the number of users in different age groups.
Example use case: Compare the sales performance of different products.
With the Bar chart component you have the option to either show the count of features (Feature count) or summarize a numeric attribute with different stats including: Sum, Average, Min, Max or Median. This is especially useful to summarize a secondary statistic on various categories. For example, the total revenue for various sales regions.
Quickly identify data patterns and trends by displaying frequency distributions in easy-to-read bins.
Good for
Understanding distribution and variability.
Spotting outliers and central tendencies.
Analyzing the spread of data points.
Visualize the elevation distribution within a geographic region.
Example use case: Show the distribution of ages in demographic data.
By default, data are distributed into 50 bins, you can adjust this number in the Bins option.
Drill down and filter on-the-fly for specific categories or ranges of data to focus on the most relevant information, enhancing your analysis and decision-making process.
Good for
Focusing on particular values for more precise insights.
Select distinct land use types to explore changes in a city.
Example use case: Filter sales data by revenue ranges to see performance in sales regions.
There are two types of filter components: Dropdown and Slider. All attributes are filterable with a dropdown. Only numeric attributes can be filtered with a slider.
Explore spatial trends over time with an intuitive time slider and reveal key patterns across different locations and time periods.
Good for
Identifying trends and patterns over time.
Tracking the evolution of data.
Understanding how different variables interact across time.
Monitor traffic flow changes during different times of the day.
Example use case: Display temperature changes over a year across various cities.
With the Time series component, you can select between multiple time-based intervals to best summarize your data.
Native Date and Datetime Types: We automatically recognize files with native date and datetime support, such as GeoPackage and Shapefile.
String Types: If not a file type with native support, in order to recognize, the date or datetime strings should be in the following formats:
1970-01-01 – ISO 8601
1970/01/01 – common, unambiguous
1970-01-01T00:00:00 – ISO 8601
1970-01-01T00:00:00.00 – ISO 8601 with milliseconds
1970-01-01T00:00:00Z – ISO 8601 with UTC offset
1970-01-01 00:00:00 – common, unambiguous
1970/01/01 00:00:00 – common, unambiguous
Timezone Offsets: We do not support timezone offsets at this time.
The time series component gives the following maximum intervals for meaningful breaks
Days: 365 (1 year)
Hours: 168 (1 week)
Weeks: 260 (5 years)
Months: 120 (10 years)
Years: 200
For the Statistic, Bar chart, Histogram and Time series components, you can control if and how they update from their configuration panel.
By default, components reflect all data visible on the map, not only the data that’s currently within a user’s view. Enable this setting to update a component as the map is moved.
By default, components update when other component filters are applied. Disable this setting to keep a component unaffected by other component filters.
