#R Programming Language

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#R Programming Language Reel by @paigeinscience (verified account) - My second most asked question is always how I learnt R     I taught myself mainly by just trial and error (I have to actually physically do something
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@paigeinscience
My second most asked question is always how I learnt R     I taught myself mainly by just trial and error (I have to actually physically do something I can’t just watch videos as I don’t take it in) so I started with the very basics.   I think it’s so easy to overdo and feel like you need to know how to do everything or a lot of things at the start. Stick to simple things like understanding the R studio interface and loading packages and other basic commands     (after this most things I learnt were googling very specifically what I needed to do and adding the command to a ‘useful command’ list I have)    Next:  Following a vignette from start to finish (one that would be similar to what I would soon need) I then would go through and click on functions to look at the arguments (this tells you all the parameters for the function) and how I can change them if needed!    Finally try swirl it’s so easy to just load directly in the terminal and you learn as you go!        What’s your top tips?    I also have so many more so make sure you follow!      #phd #student #coding #rprogramming #university #tipsandtricks
#R Programming Language Reel by @earthyemby - A tip if you're trying to learn R ⬇️ SWIRL is a package within R Studio that has tutorials so you can "learn R within R." I did the R Programming cou
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@earthyemby
A tip if you’re trying to learn R ⬇️ SWIRL is a package within R Studio that has tutorials so you can “learn R within R.” I did the R Programming course as an assignment a year or so ago and now use it to refresh my memory about basic terms and codes within R. It also looks like there are quite a few “courses” within SWIRL that are not just for beginners if you already know some R and want to advance - although I haven’t tried them yet 😄 Share this with your friends who might find this useful since R is surprisingly necessary for a lot of majors and academic fields 👩🏼‍💻 #rprogramming #collegetips #gradschool #womeninstem #r
#R Programming Language Reel by @codewithprashantt - Programming Languages & Their Real-World Uses Choosing the right programming language can shape your tech journey. From AI and data science to mobile
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@codewithprashantt
Programming Languages & Their Real-World Uses Choosing the right programming language can shape your tech journey. From AI and data science to mobile apps and game development — each language serves a powerful purpose. 🐍 Python — AI, machine learning, data science ☕ Java — enterprise & android apps ⚙️ C++ — games & system programming 🌐 JavaScript — web & server apps 🍎 Swift — ios & macos development 🟩 C# — games & backend services 💡 Learn smart, build real projects, and grow your developer skills step by step. 🎯 Pick one language. Master it. Then expand. Keywords: programming languages, coding, software development, python, java, c++, javascript, swift, csharp, machine learning, app development, web development, game development, tech skills java cpp javascript swift csharp learntocode developer techskills ai webdevelopment appdevelopment gamedevelopment codelife #programming #coding #softwaredevelopment #python
#R Programming Language Reel by @python_for_bioinformatics - In R: 10 lines, 3 errors, 2 Google searches. In Python: dna[::-1] 🧬 Natural selection clearly chose Python #python #rprogramming #bioinformatics #bi
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@python_for_bioinformatics
In R: 10 lines, 3 errors, 2 Google searches. In Python: dna[::-1] 🧬 Natural selection clearly chose Python #python #rprogramming #bioinformatics #biotechnology #dna #rna #pythonprogramming
#R Programming Language Reel by @erikadrianarv - R y yo es una relación de amor / odio👩🏻‍💻 #rstudio #ranguage #rstats #bioinformatics #coding #biology #programation #humor #reels #mexico #programm
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@erikadrianarv
R y yo es una relación de amor / odio👩🏻‍💻 #rstudio #ranguage #rstats #bioinformatics #coding #biology #programation #humor #reels #mexico #programmer #fypシ #parati #biochemistry #scientist #womeninstem #womenwhocode #stem
#R Programming Language Reel by @letsfindcourse - R programming Data Type . . Follow - @letsfindcourse . . #rprogramming #rprogramminglanguage #rprograming #rprogram #rprogrammer #programmer #program
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@letsfindcourse
R programming Data Type . . Follow - @letsfindcourse . . #rprogramming #rprogramminglanguage #rprograming #rprogram #rprogrammer #programmer #programmingisfun #programminglife #coding #codingmemes #codingbootcamp #reelsinsta #reelsitfeelsit #reelsinstagram #reelsviral
#R Programming Language Reel by @swerikcodes (verified account) - If I was a beginner learning to code, I would use this 90 day roadmap step by step for beginners 💪 #coding #codingforbeginners #learntocode #computer
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@swerikcodes
If I was a beginner learning to code, I would use this 90 day roadmap step by step for beginners 💪 #coding #codingforbeginners #learntocode #computerscience #programming
#R Programming Language Reel by @genericcode - Yes I am a programmer and that's how I am good at it. 🫣 #corporate #viral #trending #memes #explore
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@genericcode
Yes I am a programmer and that's how I am good at it. 🫣 #corporate #viral #trending #memes #explore
#R Programming Language Reel by @lky_112l (verified account) - Comment which language you start with 👇 . Follow us @lky_112l for more information. . Like and Share with Your Programmer Friends . Programmer, Pro
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@lky_112l
Comment which language you start with 👇 . Follow us @lky_112l for more information. . Like and Share with Your Programmer Friends . Programmer, Programming, Tech, Code, Coding, Java, Python, Internet. . Keep supporting 💯 The National Aeronautics and Space Administration (NASA /ˈnæsə/) is an independent agency of the U.S. federal government responsible for the United States’ civil space program and for research in aeronautics and space exploration. Headquartered in Washington, D.C., NASA operates ten field centers across the United States and is organized into mission directorates for Science, Space Operations, Exploration Systems Development, Space Technology, Aeronautics Research, and Mission Support. Established in 1958, NASA succeeded the National Advisory Committee for Aeronautics (NACA) to give the American space development effort a distinct civilian orientation, emphasizing peaceful applications in space science. It has since led most of America’s space exploration programs, including Project Mercury, Project Gemini, the 1968–1972 Apollo program missions, the Skylab space station, and the Space Shuttle. . . . . .
#R Programming Language Reel by @mohcinale - Relaxing Python & Pygame Creations #coding #programming
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@mohcinale
Relaxing Python & Pygame Creations #coding #programming
#R Programming Language Reel by @citizendatascientist (verified account) - Here is a 2 Month Plan to Learn R programming Month 1 📌 Week 1: ➡️ Start with the basics of R programming language by studying its syntax and data ty
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@citizendatascientist
Here is a 2 Month Plan to Learn R programming Month 1 📌 Week 1: ➡️ Start with the basics of R programming language by studying its syntax and data types. ➡️ Learn how to install and set up RStudio, which is an Integrated Development Environment (IDE) for R. ➡️ Take online tutorials and practice exercises to get familiarise with R programming. 📌 Week 2: ➡️ Learn about data structures in R such as vectors, matrices, and data frames. ➡️ Practice data manipulation techniques such as subsetting, merging, and transforming data. 📌 Week 3: ➡️ Learn about functions and control structures in R. ➡️ Practice writing and executing functions to perform various tasks. 📌 Week 4: ➡️ Explore R packages and libraries to expand the functionality of R. ➡️ Learn how to install and use packages such as ggplot2, dplyr, and tidyr for data visualization and data analysis. Month 2 📌 Week 5: ➡️ Learn about statistical analysis and modeling techniques in R. ➡️ Practice performing descriptive statistics, hypothesis testing, and regression analysis. 📌 Week 6: ➡️ Explore machine learning algorithms in R. ➡️ Learn about supervised and unsupervised learning algorithms such as decision trees, k-means clustering, and linear regression. 📌 Week 7: ➡️ Learn about web scraping and text analysis in R. ➡️ Practice extracting data from websites and analyzing text data using R. 📌 Week 8: ➡️ Consolidate your learning by working on a project. ➡️ Choose a real-world problem and use R to analyze data and provide insights. 📌 Daily activities: ➡️ Practice coding every day for at least an hour. ➡️ Watch R programming tutorials on websites such as DataCamp and Udemy. ➡️ Participate in online forums and communities to ask questions and get help from other R programmers. ➡️ Read blogs and articles on R programming to keep up with the latest trends and best practices. Comment ' Yes ' If you want free learning Resources #Rprogramming #learntocode #datadriven #datascience #dataanalysis #datavisualization #statistics #machinelearning #web_scraping #textanalysis #coding #programming #onlinelearning #datamanipulation #datastructures #dataframes #vectors #matrices #ggplot2 #dplyr #tidyr #regressionanal

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💡 Top performing posts average 1.7M views (2.5x above average). Moderate competition - consistent posting builds momentum.

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