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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.
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.
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.
R, C, Fortran, MPI, and ØMQ. Programming with Big Data in R (pbdR) [1] is a series of R packages and an environment for statistical computing with big data by using high-performance statistical computation. [2][3] The pbdR uses the same programming language as R with S3/S4 classes and methods which is used among statisticians and data miners ...
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]
Doctoral advisor. Michael Genesereth. Jock D. Mackinlay (born August 16, 1952) is an American information visualization expert and Vice President of Research and Design at Tableau Software. With Stuart Card, George G. Robertson and others he invented a number of information visualization techniques. [1]
Library of algorithms to aggregate areas into regions, where each region is geographically connected, while optimizing a predefined objective function. Python. BSD license. R -Analysis of Spatial Data. yes. Linux, MAC OS, Windows. Roger Bivand (maintainer) CRAN site for Analysis of Spatial Data, R-Forge site.
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 ...