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2. Data and information visualization - Wikipedia

   en.wikipedia.org/wiki/Data_and_information...

   Data and information visualization (data viz/vis or info viz/vis) [2] is the practice of designing and creating easy-to-communicate and easy-to-understand graphic or visual representations of a large amount [3] of complex quantitative and qualitative data and information with the help of static, dynamic or interactive visual items.

3. Data analysis - Wikipedia

   en.wikipedia.org/wiki/Data_analysis

   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 ...

4. Misleading graph - Wikipedia

   en.wikipedia.org/wiki/Misleading_graph

   A graph with a high lie factor (>1) would exaggerate change in the data it represents, while one with a small lie factor (>0, <1) would obscure change in the data. [24] A perfectly accurate graph would exhibit a lie factor of 1.

5. Edward Tufte - Wikipedia

   en.wikipedia.org/wiki/Edward_Tufte

   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]

6. Infographic - Wikipedia

   en.wikipedia.org/wiki/Infographic

   [3] [4] Similar pursuits are information visualization, data visualization, statistical graphics, information design, or information architecture. [2] Infographics have evolved in recent years to be for mass communication, and thus are designed with fewer assumptions about the readers' knowledge base than other types of visualizations. [5]

7. Dashboard (computing) - Wikipedia

   en.wikipedia.org/wiki/Dashboard_(computing)

   Power BI pulls data from Excel that can be used to create dashboards and visualizations. Whereas Excel does not import data from Power BI. Excel is typically used for less data and Power BI is more complex. Power BI can be used to display trends over time. For example, a company can create a time plot that shows its costs and revenues over a ...