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  2. Data and information visualization - Wikipedia

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

    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 ...

  3. Edward Tufte - Wikipedia

    en.wikipedia.org/wiki/Edward_Tufte

    Edward Tufte. Edward Rolf Tufte (/ ˈtʌfti /; [2] born March 14, 1942), [1] sometimes known as " ET ", [3] is an American statistician and professor emeritus of political science, statistics, and computer science at Yale University. [4] He is noted for his writings on information design and as a pioneer in the field of data visualization.

  4. Biological data visualization - Wikipedia

    en.wikipedia.org/wiki/Biological_data_visualization

    Most data visualization in systems biology is done using mathematically generated models. Researchers will diagram all of the protein, gene, or metabolic pathways in a given biological system, then determine the speed of the reactions in that system using mass action kinetics or enzyme kinetics .

  5. Topological data analysis - Wikipedia

    en.wikipedia.org/wiki/Topological_data_analysis

    Topological data analysis. In applied mathematics, topological data analysis (TDA) is an approach to the analysis of datasets using techniques from topology. Extraction of information from datasets that are high-dimensional, incomplete and noisy is generally challenging. TDA provides a general framework to analyze such data in a manner that is ...

  6. R (programming language) - Wikipedia

    en.wikipedia.org/wiki/R_(programming_language)

    R is a programming language for statistical computing and data visualization. It has been adopted in the fields of data mining, bioinformatics, and data analysis. [9] The core R language is augmented by a large number of extension packages, containing reusable code, documentation, and sample data. R software is open-source and free software.

  7. Data science - Wikipedia

    en.wikipedia.org/wiki/Data_science

    Data science is "a concept to unify statistics, data analysis, informatics, and their related methods " to "understand and analyze actual phenomena " with data. [5] It uses techniques and theories drawn from many fields within the context of mathematics, statistics, computer science, information science, and domain knowledge. [6]

  8. Apache Superset - Wikipedia

    en.wikipedia.org/wiki/Apache_Superset

    Apache Superset. Apache Superset is an open-source software application for data exploration and data visualization able to handle data at petabyte scale (big data). The application started as a hack-a-thon project by Maxime Beauchemin (creator of Apache Airflow) while working at Airbnb and entered the Apache Incubator program in 2017. [1]

  9. Plotly - Wikipedia

    en.wikipedia.org/wiki/Plotly

    plotly.com. Plotly is a technical computing company headquartered in Montreal, Quebec, that develops online data analytics and visualization tools. Plotly provides online graphing, analytics, and statistics tools for individuals and collaboration, as well as scientific graphing libraries for Python, R, MATLAB, Perl, Julia, Arduino, JavaScript ...