To represent data in a Treemap structure, there are several algorithms to choose from, like Squarified, Slice and Dice, and Stripped, with the most common being the Squarified Treemap algorithm. Originally designed to visualize files on a hard drive, Treemaps have been applied to a wide variety of domains ranging from financial analysis to sports reporting ( Ordered Treemap Layouts, Ben Shneiderman, Martin Wattenberg, ). At the same time, Treemaps are not designed to convey numerical quantities the intent is to show relative ranking and relative differences in data-set values. It shows the relative weight of data points at more than one level (represented as a rectangle) letting you continuously drill down deeper into the data set that is represented by smaller rectangles for more efficient analysis. Unlike the arguably most popular part-to-whole visualization, the Pie Chart, a Treemap Chart is designed for drill-down scenarios. Categories are shown in proportion to other categories based on their value percentage to the total value being analyzed. While a Treemap is sometimes categorized as a “distribution” visualization, I see it mostly referred to as a “part-to-whole” visualization, showing categories (parts) of a data set that add up to a total (whole) value.
Embed Documentation Looking for help with the Embed SDK? Check out our documentationĪ Treemap Chart is a data visualization that shows hierarchical data using nested nodes (rectangles) of varying size and color, making is easy to spot data patterns or to compare data quantities. App Documentation Everything you need to assist you in creating, editing and sharing dashboards. Webinars Join us for embedded analytics best practices and demos. Glossary Learn more about business intelligence terms with definitions and examples. Customer Stories See how companies are leveraging Reveal to improve their applications. Whitepapers Get access to in-depth whitepapers from a variety of topics. Blogs Discover the latest for the Reveal product and industry wide news. Retail analytics Improve your decision-making process with a single source of truth of your data. IT analytics Drive innovations in IT with the creation and improvement of products and services. Telecommunications Differentiate your services with forward-looking, predicitive insights. Manufacturing Gather, store, process and utilize data insights in daily operations. Insurance Identify profitable customers, manage lifecycles from acquisition to maturity. Healthcare Real-time, in-context insights into your healthcare data. Finance Satisfy consumers quicker by providing them with embedded analytics. Banking Open new opportunites and improve customer satisfaction in your banking apps. Security We built Reveal from the ground up with your data security as our #1 priority. Features Enhance your brand with Reveal’s robust embedded analytics features. Chart Types Identify trends and patterns, understand complex information quickly, communicate insights, drive better and smarter decisions. Data Sources Connect to a wide range of data sources to create real-time visualizations.
0 kommentar(er)
