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Data visualization refers to the techniques used to communicate data or information by encoding it as visual objects (e.g., points, lines, or bars) contained in graphics. The goal is to communicate information clearly and efficiently to users. It is one of the steps in data analysis or data science. According to Vitaly Friedman (2008) the "main ...
Statistical graphics have been central to the development of science and date to the earliest attempts to analyse data. Many familiar forms, including bivariate plots, statistical maps, bar charts, and coordinate paper were used in the 18th century. Statistical graphics developed through attention to four problems: [3]
Tableau Software, LLC (/ tæbˈloʊ / tab-LOH) is an American interactive data visualization software company focused on business intelligence. [2][3] It was founded in 2003 in Mountain View, California, and is currently headquartered in Seattle, Washington. [4] In 2019, the company was acquired by Salesforce for $15.7 billion. [5]
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 ...
Time-series data is one of the most common forms of data visualization. It documents sets of values over time. Examples of graphics in this category include index charts, stacked graphs, small multiples, and horizon graphs. Index charts are ideal to use when raw values are less important than relative changes.
Heat map. Heat map generated from DNA microarray data reflecting gene expression values in several conditions. A heat map showing the RF coverage of a drone detection system. A heat map (or heatmap) is a 2-dimensional data visualization technique that represents the magnitude of individual values within a dataset as a color.
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