Ads
related to: key factors of data visualization- Introducing Qlik Answers™
Make Better Decisions with Qlik's
All-new Gen-AI Knowledge Assistant.
- Qlik Sense® Demo Video
Business Intelligence Made Easy.
Watch the Qlik® Demo Videos Now.
- Pricing Plans
Choose from a range of flexible
and scalable licensing options
- 2024 Magic Quadrant™
For Analytics and BI Platforms.
Download Now, Courtesy of Qlik®.
- Gartner® Trends Report
Uncover This Year's Top Trends In
Data & Analytics. Download Now.
- 2025 Data & AI Trends
Reinvent Data, Insights, and Action
In a Post-AI Landscape. Read More.
- Introducing Qlik Answers™
Search results
Results From The WOW.Com Content Network
Data presentation architecture weds the science of numbers, data and statistics in discovering valuable information from data and making it usable, relevant and actionable with the arts of data visualization, communications, organizational psychology and change management in order to provide business intelligence solutions with the data scope ...
Data visualization uses information displays (graphics such as, tables and charts) to help communicate key messages contained in the data. [46] Tables are a valuable tool by enabling the ability of a user to query and focus on specific numbers; while charts (e.g., bar charts or line charts), may help explain the quantitative messages contained ...
Therefore, it is crucial to identify the appropriate visualization for the data set and infographic by taking into consideration graphical features such as position, size, shape, and color. There are primarily five types of visualization categories – time-series data, statistical distributions, maps, hierarchies, and networking. [3]
A visual variable, in cartographic design, graphic design, and data visualization, is an aspect of a graphical object that can visually differentiate it from other objects, and can be controlled during the design process.
Tufte's other key concepts include what he calls the lie factor, the data-ink ratio, and the data density of a graphic. [14] Tufte uses the term "data-ink ratio" to argue against using excessive decoration in visual displays of quantitative information. [15]
The importance of human graphical perception, what we discern easily versus what our brains have more difficulty decoding, is fundamental to good statistical graphics design, where clarity, transparency, accuracy and precision in data display and interpretation are essential for understanding the translation of data in a graph to clarify and ...
Ad
related to: key factors of data visualization