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The project was started in 2013 by a group of researchers of Politecnico di Milano [2] [3] with the original name of "RAW". Version 1.0.0 was released in 2014. Version 1.0.0 was released in 2014. In the same year the tool won the "Most Beautiful" award at the Kantar Information is Beautiful Awards 2014 organized by David McCandless .
Kaggle is a data science competition platform and online community for data scientists and machine learning practitioners under Google LLC.Kaggle enables users to find and publish datasets, explore and build models in a web-based data science environment, work with other data scientists and machine learning engineers, and enter competitions to solve data science challenges.
Google Dataset Search is a search engine from Google that helps researchers locate online data that is freely available for use. [1] The company launched the service on September 5, 2018, and stated that the product was targeted at scientists and data journalists. The service was out of beta as of January 23, 2020. [2]
OpenML: [493] Web platform with Python, R, Java, and other APIs for downloading hundreds of machine learning datasets, evaluating algorithms on datasets, and benchmarking algorithm performance against dozens of other algorithms.
Statistical literacy benefits from open data. Instructors can use locally relevant data sets to teach statistical concepts to their students. [56] [57] Allowing open data in the scientific community is essential for increasing the rate of discoveries and recognizing significant patterns. [58]
Dataset from NASA's Socioeconomic Data and Applications Center includes raw population, population density, historic, current and predicted. Global Rural-Urban Mapping Project (GRUMP) Dataset from NASA's Socioeconomic Data and Applications Center (based on the above data, but includes information on rural and urban population balances).
There are a few reviews of free statistical software. There were two reviews in journals (but not peer reviewed), one by Zhu and Kuljaca [26] and another article by Grant that included mainly a brief review of R. [27] Zhu and Kuljaca outlined some useful characteristics of software, such as ease of use, having a number of statistical procedures and ability to develop new procedures.
JASP (Jeffreys’s Amazing Statistics Program [2]) is a free and open-source program for statistical analysis supported by the University of Amsterdam. It is designed to be easy to use, and familiar to users of SPSS. It offers standard analysis procedures in both their classical and Bayesian form.
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