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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

1️⃣ “R for Data Science” by Wickham et al. is widely recommended across stats forums as one of the best books to learn hands on R programming. The is available online for free at www.r4ds.hadley.nz 2️⃣ HarvardX Data Science R Basics is free to audit assumes no prior knowledge and teaches you foundational programming concepts and operations (it doesn’t get into statistical modeling yet). 3️⃣ “An Introduction to Statistical Learning with Applications in R” by James et al. can be a little bit more technical and advanced (as it actually covers statistical topics), but comes with great real-life R coding examples.The PDF of the book is available online for free at www.statlearning.com 4️⃣ www.rscreencasts.com has a long list of screencast videos by data scientist David Robinson where he shares real-world examples of live data analyses in R, including how to approach analysis, what packages and methods he uses, as well as general R tricks and tips. 5️⃣ If you prefer more interactive learning, you might enjoy swirl (swirlstats.com) that teaches you R programming interactively inside the R console, no reading books or watching courses required. ❓Any other good recs? Drop them in the comments! #rprogramming #rstudio #datascientist #womenintech #womeninstem

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

RStudio shortcuts in 60 seconds⏰ Save a bunch of time on both mac or windows by using this shortcut to run the same region of code over and over again to test changes and see how your visualizations will look. #rstudio

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

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

Yes I am a programmer and that's how I am good at it. 🫣 #corporate #viral #trending #memes #explore

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

Now it’s time to connect Frontend with backend through RestAPI’s 💥 #codes #learning #mernstack #projects #reactjs

1% of coding vs 99% of coding. . . . . #coding #codinglife #error #motivation #inspiration #videography #aesthetic
Top Creators
Most active in #r-programming
Reels Graph Intelligence.
Advanced mapping of high-affinity Instagram Reels semantic patterns identified within the #r-programming ecosystem.
Strategic Implementation
Our semantic engine has identified these specific pattern clusters as high-affinity matches for #r-programming. Integrated usage of #r-programming with strategic Reels tags like #programming and #program is statistically linked to a significant increase in initial Reels discovery velocity.
In-Depth Hashtag Analysis: #r-programming
Expert Review • June 4, 2026 • Based on 12 Reels
Executive Overview
#r-programming is an actively used Instagram hashtag. Across the 12 trending reels analyzed on this page, the content has accumulated a combined total of 6,131,990 views— demonstrating strong content velocity within this content vertical. The top creator ecosystem features 8 notable accounts, led by @mohcinale with 2,450,518 total views. The hashtag's semantic network includes 73 related keywords such as #programming, #program, #programs, indicating its position within a broader content cluster.
Viewership & Reach Analysis
The 12 reels in this dataset have generated a combined 6,131,990 views, translating to an average of 510,999 views per reel. This exceptionally high average viewership indicates that content in this hashtag frequently hits the Explore page or Reels tab, driving massive exposure beyond the creator's immediate follower base.
The highest-performing reel in this dataset received 2,450,518 views. This viral outlier performance is 480% of the average reel performance in this set. This significant gap between the top performer and the average highlights the "viral lottery" nature of this hashtag — breakout hits can achieve massive scale.
Content Overview & Top Creators
The #r-programming ecosystem is dominated by short-form video content (Reels), aligning with Instagram's algorithmic preference for video-first distribution. There are 8 distinct accounts contributing to the trending feed. The top creator, @mohcinale, has contributed 1 reel with a total viewership of 2,450,518. The top three creators — @mohcinale, @swerikcodes, and @miyan_nishar — together account for 66.0% of the total views in this dataset. The semantic network of #r-programming extends across 73 related hashtags, including #programming, #program, #programs, #programing. Creators often use these tags together to reach overlapping audiences.
Discoverability & Reach Potential
The discoverability metrics for #r-programming indicate an active content ecosystem. The average of 510,999 views per reel demonstrates consistent audience reach. For creators using #r-programming, high-quality production and strong hooks in the first 1-2 seconds tend to perform best given the competition.
Analyst Verdict
#r-programming demonstrates the hallmarks of a well-performing Instagram hashtag. With an average of 510,999 views per reel, the viewership metrics position this hashtag as a premium discovery vehicle. Creators like @mohcinale and @swerikcodes are leading the charge, setting viewership benchmarks for the community.
Frequently Asked Questions
Everything about #r-programming on Instagram
Global Reels Trends
Explore high-velocity Instagram Reels hashtags currently shaping global discovery.













