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TidyTuesday
TidyTuesday, also noted as Tidy Tuesday, tidytuesday, or #tidytuesday, is a weekly community of practice that is currently organized by the Data Science Learning Community (DSLC). A new data set is highlighted each week for participants to practice exploring, visualizing, and sharing findings. Participants can follow the daily hashtag #tidytuesday on social media. History TidyTuesday was started by Tom Mock, a product manager at Posit PBC, on April 1, 2018. The motivations to create this was for newcomers to data and more experienced data scientists to feel less socially isolated and a means to practice skills like acquiring, cleaning, wrangling, visualizing and presenting data. Some participants have shared feeling inspired by others' data visualizations and noting that most people will share their code in order to replicate their work. Impact TidyTuesday has also been used by other groups or features published data. R-Ladies Global have used TidyTuesday datasets as a ha ...
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Tidyverse
The tidyverse is a collection of open source packages for the R programming language introduced by Hadley Wickham and his team that "share an underlying design philosophy, grammar, and data structures" of tidy data. Characteristic features of tidyverse packages include extensive use of non-standard evaluation and encouraging piping. As of November 2018, the tidyverse package and some of its individual packages comprise 5 out of the top 10 most downloaded R packages. The tidyverse is the subject of multiple books and papers. In 2019, the ecosystem has been published in the '' Journal of Open Source Software''. Its syntax has been referred to as "supremely readable", and some have argued that tidyverse is an effective way to introduce complete beginners to programming, as pedagogically it allows students to quickly begin doing data processing tasks. Moreover, some practitioners have pointed out that data processing tasks are intuitively easier to chain together with tidyverse ...
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Data Science
Data science is an interdisciplinary academic field that uses statistics, scientific computing, scientific methods, processing, scientific visualization, algorithms and systems to extract or extrapolate knowledge from potentially noisy, structured, or unstructured data. Data science also integrates domain knowledge from the underlying application domain (e.g., natural sciences, information technology, and medicine). Data science is multifaceted and can be described as a science, a research paradigm, a research method, a discipline, a workflow, and a profession. Data science is "a concept to unify statistics, data analysis, informatics, and their related methods" to "understand and analyze actual phenomena" with data. It uses techniques and theories drawn from many fields within the context of mathematics, statistics, computer science, information science, and domain knowledge. However, data science is different from computer science and information science. Turing Awar ...
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R (programming Language)
R is a programming language for statistical computing and Data and information visualization, data visualization. It has been widely adopted in the fields of data mining, bioinformatics, data analysis, and data science. The core R language is extended by a large number of R package, software packages, which contain Reusability, reusable code, documentation, and sample data. Some of the most popular R packages are in the tidyverse collection, which enhances functionality for visualizing, transforming, and modelling data, as well as improves the ease of programming (according to the authors and users). R is free and open-source software distributed under the GNU General Public License. The language is implemented primarily in C (programming language), C, Fortran, and Self-hosting (compilers), R itself. Preprocessor, Precompiled executables are available for the major operating systems (including Linux, MacOS, and Microsoft Windows). Its core is an interpreted language with a na ...
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Data Thinking
Data Thinking is a framework that integrates data science with the design process. It combines computational thinking, statistical thinking, and domain-specific knowledge to guide the development of data-driven solutions in product development. The framework is used to explore, design, develop, and validate solutions, with a focus on user experience and data analytics, including data collection and interpretation The framework aims to apply data literacy and inform decision-making through data-driven insights. Major components According to "Computational thinking in the era of data science": * Data thinking involves understanding that solutions require both data-driven and domain-knowledge-driven rules. * Data thinking evaluates whether data accurately represents real-life scenarios and improves data collection where necessary. * The framework highlights the importance of preserving domain-specific meaning during data analysis. * Data thinking incorporates statistical and logic ...
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Data Scientists
Data science is an interdisciplinary academic field that uses statistics, scientific computing, scientific methods, processing, scientific visualization, algorithms and systems to extract or extrapolate knowledge from potentially noisy, structured, or unstructured data. Data science also integrates domain knowledge from the underlying application domain (e.g., natural sciences, information technology, and medicine). Data science is multifaceted and can be described as a science, a research paradigm, a research method, a discipline, a workflow, and a profession. Data science is "a concept to unify statistics, data analysis, informatics, and their related methods" to "understand and analyze actual phenomena" with data. It uses techniques and theories drawn from many fields within the context of mathematics, statistics, computer science, information science, and domain knowledge. However, data science is different from computer science and information science. Turing Award winn ...
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A Series Of Statistical Charts Illustrating The Condition Of The Descendants Of Former African Slaves Now In Residence In The United States Of America LCCN2014645358
A, or a, is the first letter and the first vowel letter of the Latin alphabet, used in the modern English alphabet, and others worldwide. Its name in English is '' a'' (pronounced ), plural ''aes''. It is similar in shape to the Ancient Greek letter alpha, from which it derives. The uppercase version consists of the two slanting sides of a triangle, crossed in the middle by a horizontal bar. The lowercase version is often written in one of two forms: the double-storey and single-storey . The latter is commonly used in handwriting and fonts based on it, especially fonts intended to be read by children, and is also found in italic type. In English, '' a'' is the indefinite article, with the alternative form ''an''. Name In English, the name of the letter is the ''long A'' sound, pronounced . Its name in most other languages matches the letter's pronunciation in open syllables. History The earliest known ancestor of A is ''aleph''—the first letter of the Phoenician ...
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Hackathon
A hackathon (also known as a hack day, hackfest, datathon or codefest; a portmanteau of '' hacking'' and ''marathon'') is an event where people engage in rapid and collaborative engineering over a relatively short period of time such as 24 or 48 hours. They are often run using agile software development practices, such as sprint-like design wherein computer programmers and others involved in software development, including graphic designers, interface designers, product managers, domain experts, and others collaborate intensively on engineering projects, such as software engineering. The goal of a hackathon is to create functioning software or hardware by the end of the event. Hackathons tend to have a specific focus, which can include the programming language used, the operating system, an application, an API, or the subject and the demographic group of the programmers. In other cases, there is no restriction on the type of software being created or the design of the new syst ...
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Community Of Practice
A community of practice (CoP) is a group of people who "share a concern or a passion for something they do and learn how to do it better as they interact regularly". The concept was first proposed by cognitive anthropologist Jean Lave and educational theorist Etienne Wenger in their 1991 book ''Situated Learning''. Wenger significantly expanded on this concept in his 1998 book ''Communities of Practice''. A CoP can form around members' shared interests or goals. Through being part of a CoP, the members learn from each other and develop their identities. CoP members can engage with one another in physical settings (for example, in a lunchroom at work, an office, a factory floor), but CoP members are not necessarily co-located. They can form a virtual community of practice (VCoP) where the CoP is primarily located in an online community such as a discussion board, newsgroup, or on a social networking service. Communities of practice have existed for as long as people have ...
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R-Ladies Global
R-Ladies is an organization that promotes gender diversity in the community of users of the R statistical programming language. It is made up of local chapters affiliated with the worldwide coordinating organization R-Ladies Global. History On October 1, 2012, Gabriela de Queiroz, a data scientist, founded R-Ladies in San Francisco (United States) after participating in similar free initiatives through Meetup. In the following four years, three other groups started: Taipei in 2014, Minneapolis (called “Twin Cities”) in 2015, and London in 2016. The chapters were independent until the 2016 useR! Conference, where it was agreed to create a central coordinating organization. In that year, Gabriela de Queiroz and Erin LeDell of R-Ladies San Francisco; Chiin-Rui Tan, Alice Daish, Hannah Frick, Rachel Kirkham and Claudia Vitolo of R-Ladies London; as well as Heather Turner joined to apply for a grant from the R Consortium, with which they asked for support for the globa ...
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Posit PBC
Posit PBC (or Posit) is an open-source data science software company. It is a public-benefit corporation founded by J. J. Allaire, creator of the programming language ColdFusion. Posit has no formal connection to the R Foundation, a not-for-profit organization located in Vienna, Austria, which is responsible for overseeing development of the R environment for statistical computing. Posit was formerly known as RStudio Inc. In July 2022, it announced that it changed its name to Posit, to signify its broadening exploration towards other programming languages such as Python. History Before the company started, Allaire initially started RStudio, the integrated development environment (IDE), as an open source project. He recruited Joe Cheng to help work on this project, who would eventually become Posit's CTO. Moreover, Cheng would conceptualize and develop the Shiny web framework in 2012. In August 2012, Hadley Wickham, Winston Chang, and Garrett Grolemund joined Posit (at t ...
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