Interactive SDK ZoomCharts Facet Chart Browser Shares, Hierarchical Structure

https://zoomcharts.com/en/gallery/all:facet-chart-browser-shares

Data visualization or data visualisation is viewed by many disciplines as a modern equivalent of visual communication. It is not owned by any one field, but rather finds interpretation across many (e.g. it is viewed as a modern branch of descriptive statistics by some, but also as a grounded theory development tool by others). It involves the creation and study of the visual representation of data, meaning "information that has been abstracted in some schematic form, including attributes or variables for the units of information".

A primary goal of data visualization is to communicate information clearly and efficiently to users via the statistical graphics, plots, information graphics, tables, and charts selected. Effective visualization helps users in analyzing and reasoning about data and evidence. It makes complex data more accessible, understandable and usable. Users may have particular analytical tasks, such as making comparisons or understanding causality, and the design principle of the graphic (i.e., showing comparisons or showing causality) follows the task. Tables are generally used where users will look-up a specific measure of a variable, while charts of various types are used to show patterns or relationships in the data for one or more variables.

Data visualization is both an art and a science. The rate at which data is generated has increased, driven by an increasingly information-based economy. Data created by internet activity and an expanding number of sensors in the environment, such as satellites and traffic cameras, are referred to as "Big Data". Processing, analyzing and communicating this data present a variety of ethical and analytical challenges for data visualization. The field of data science and practitioners called data scientists have emerged to help address this challenge.

The Facet Chart Hierarchical Structure tool, part of ZoomCharts’ advanced data visualization line of software, makes presenting and analyzing large amounts of data simple and visually appealing. Work more efficiently with your data by organizing it to fit your company’s exact needs.

Hierarchical Structure is one of the many advanced data visualization features being offered by ZoomCharts and used by clients in several educational fields, including sciences and mathematics, such as anatomy, biochemistry, ecology, microbiology, nutrition, neuroscience, physiology, zoology, chemical engineering, geochemistry, molecular biology, geology, paleontology, physics, astronomy, algebra, computer science, geometry, logic, and statistics, and the arts such as, music, dance, theatre, film, animation, architecture, applied arts, photography, graphic design, interior design, and mixed media.

- Interactive data representation lets you visualize large amounts of information
- View data in hierarchical order for an organized display
- Present detailed information about your data series easily and efficiently

Check out ZoomCharts products:

Network Chart
Big network exploration
Explore linked data sets. Highlight relevant data with dynamic filters and visual styles. Incremental data loading. Exploration with focus nodes.

Time Chart
Time navigation and exploration tool
Browse activity logs, select time ranges. Multiple data series and value axes. Switch between time units.

Pie Chart
Amazingly intuitive hierarchical data exploration
Get quick overview of your data and drill down when necessary. All in a single easy to use chart.

Facet Chart
Scrollable bar chart with drill-down
Compare values side by side and provide easy access to the long tail.

ZoomCharts
http://www.zoomcharts.com
The world’s most interactive data visualization software