Studio’s new style component designed especially for data visualization
Guest
Kelsey Taylor
Julia Rickles
Guest
Julia Rickles
,?
Kelsey Taylor
TikTok成人版
October 20, 2020
Maps
Studio’s new style component designed especially for data visualization
Guest
Kelsey Taylor
Julia Rickles
Guest
Julia Rickles
,?
Kelsey Taylor
TikTok成人版
October 20, 2020
Studio has a new style component built for fast data visualization in private beta for select customers starting today. provide sensible defaults and quick opportunities for customization by optimizing the most common style property changes and packaging them into drop-down options, sliders, and toggles. This new data visualization component is an easy way to create stunning spatial visualizations with custom data on the map, explore different data visualizations, quickly prototype various data stylings, and learn about data visualization types and best practices.
Data driven circles displaying earthquake data
There are two types of data visualizations to start with:?
Choropleths, or shaded areas that represent values in your data, such as population density, election results, or per-capita income.
Data-driven circles, also known as scaled point maps, bubble maps, or proportional symbol maps, where size represents a value in your data. Often used in public health and political maps.
The Data visualization component can be added to any style using the “add component” menu in the . Once the component is added to the style, Studio will prompt you to add data, choose a visualization type, and then begin styling the data.
Toggle, slide, and experiment with data styling using the intuitive component controls. Studio has 19 colorblind-friendly palettes available, as well as an option to add labels from a field in your data to set context.
Add the Data visualization component with the Add new component button in Studio
Studio will automatically recommend a visualization based on your data
In addition to Choropleth and Data-driven circles, we plan to add several more data visualization types in later releases. to start building with the Data visualization component. Tweet us what you create with .
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