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We found in a previous post that Python has a solid claim to being the fastest-growing programming language in terms of Stack Overflow visits. The same analysis showed that the R programming language has shown remarkable growth in the last five years as well. In fact, R is growing at a similar rate to Python in terms of a year-over-year percentage, though this growth is "easier" because it started from a smaller share of traffic. In another post , we found that much of the growth of Python can be explained by the expansion of data science. Since R is primarily used for statistical analysis, it's likely that R is part of the same trend. In this post, we'll analyze how quickly R has grown, examine how its growth differs across industries, and look at what R packages are popular and growing within the ecosystem.
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Each of these are industries where data analysis and visualization play r popular disproportionate role, relative to software and web development. The Data Team here at Stack Overflow is one exception!
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While everyone gets to be a bit Irish on Saint Patrick's Day Sunday , the Chicago River will get a head start when it is dyed green this weekend. The over year tradition of dyeing the Chicago River is set to take place Saturday ahead of the city's St. Patrick's Day parade. The dyeing is carried out by members of the Chicago Journeymen Plumbers Local who have been turning the river emerald green since The best views in the city to see the dyeing are on Upper Wacker Drive between Columbus and Fairbanks, according to the Local, but you don't have to be in the Windy City to watch. In the then business manager of the plumbers local, Stephen Bailey, noticed that one of his member's coveralls had been stained green. When the member said that the stains were a result of the chemicals used to discover leaks Bailey made the connection to the holiday and, according to the Local , said, "call the mayor, we'll dye the river green. Home U. Dyeing the Chicago River green Date, time, how to watch St.
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The House vote to be held Wednesday is expected to pass with sizable bipartisan support, and President Joe Biden said on Friday that he would sign the legislation if it makes it to his desk. House Speaker Mike Johnson supports the bill and says TikTok is "actively undermining our economy and security. The bill's future in the Senate is more uncertain. Rand Paul, R-Ky. The leading Republican and Democrat on that committee introduced the legislation, that would make TikTok unavailable in app stores or web hosting services — effectively making it unavailable to U. TikTok has said it now uses a separate, U. The bipartisan bill has had a speedy rise. Introduced last Tuesday, it passed out of the House Energy and Commerce Committee with a unanimous member vote on Thursday — a mark of cohesion that Stefanik noted when asked whether Trump will influence the vote.
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This comparison is shown only to demonstrate that the kind of sustained growth R has shown is rare among languages of comparable size. This gives a sense of what groups of packages tend to solve similar problems. What areas of R package development have recently grown in their share of questions and answers? To examine this, we extracted what R packages were used in particular questions and answers. Indeed, in June-July , when most classes aren't in session, R was the second-most visited tag from universities, second only to Python. This Kaggle kernel shows how we parsed the data, including examining uses of the library and require functions. However, running this on the most common packages mentioned in answers , not just questions, leads to a very similar list you can try it yourself! Allow up to 1 week to ship if a Custom Bore size is selected. Related Products. We separately found that pandas , a data science framework for Python, was less visited in tech than it was in almost all other industries. R Packages In the case of Python, we were interested in what particular applications of the language had been driving its growth, such as data science, web development, and system administration.
Image used with permission by copyright holder Reddit is introducing changes to its public homepage in an attempt to present a more sanitized version of its site to new users. The social news aggregation site announced the update in the form of a Reddit post on Wednesday.
In this post, we'll analyze how quickly R has grown, examine how its growth differs across industries, and look at what R packages are popular and growing within the ecosystem. In the case of Python, we were interested in what particular applications of the language had been driving its growth, such as data science, web development, and system administration. We'll measure this over time in terms of the percentage of questions where either the question mentions the package, or one of its answers does. This graph also confirms what we saw in a previous analysis , that R is both disproportionately visited and fast-growing in the government sector. However, running this on the most common packages mentioned in answers , not just questions, leads to a very similar list you can try it yourself! Since R is primarily used for statistical analysis, it's likely that R is part of the same trend. Note that in some very rare cases packages were edited into older questions or answers, which allows them to "appear" before the package was released. The plyr and reshape2 packages rose in frequency from about to , then declined afterwards when Wickham replaced them with the newer dplyr and tidyr packages. In the center of the ecosystem we see a cluster for data transformation, including dplyr, data. We found in a previous post that Python has a solid claim to being the fastest-growing programming language in terms of Stack Overflow visits. Like Python, a disproportionate amount of traffic to R questions comes from high-income countries it's visited about three times as often in those countries as in the rest of the world , so this post will consider Stack Overflow traffic from high-income countries, such as the United States, United Kingdom, Germany, Canada and France. Many of the most commonly mentioned packages were written by Hadley Wickham, with his packages making up 7 of the top 10 the others being data.
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