The R Programming Hub ✓

YouTube @therprogramminghub Lifestyle (sociology)

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Subscribers

🔥 Buzz rank

#84,760 ▲6991

Total Views

5.5K

Videos

Channel age

3 yrs

Est. monthly earnings

$1 – $2

How we estimate

~317 recent monthly views × an estimated ad RPM of $2.51–$4.83 per 1,000 views — adjusted for Lifestyle (sociology) content. Yearly ≈ $12 – $24. Excludes sponsorships, memberships & merch. Full methodology →

Known for

2K views 6 - Publish Your R Shiny App || R Shiny For Absolute Beginners

693 views How To Integrate R Programming into Power BI || Data Visualization || Dashboard || Data Analysis

490 views 1 - Build Your First R Shiny App || R Shiny For Absolute Beginners

443 views How To Perform One Hot Encoding In R Programming ||

▶️ Featured Video

2K views

📈 Performance

Typical video

100–307 views

Median 139 — the reliable floor a brand can expect, not just the headline average.

Upload rhythm

0.1× / week

Most active on Fridays — consistent output keeps an engaged, sponsor-ready audience.

317

Avg views / video

Avg likes

Avg comments

1.69%

Engagement rate

0.1

Uploads / week

323

Lifetime avg / video

Views / subscriber

Shorts (recent views)

Engagement rate = (likes + comments) ÷ views across recent videos.

💡 Did you know?

🗓️Joined YouTube in 2023 — 3 years ago.

🏆Ranked #25,335 among all influencers on SocialDB.

🎯Top Lifestyle (sociology) influencer — #5,875 in the niche.

👁️Averages 317 views per video.

📤Posts about 0.1× per week.

💬1.69% engagement rate.

🚀Gained 1 subscribers in the last 7 days.

🛡️ Audience credibility

46/100 Fair

Est. 68% real, active audience · Medium fake-follower risk.
Views far exceed subscriber count — strong reach beyond their core base.
1.69% engagement — below the ~5% typical for this size.

Est. authentic audience

68%

Fake-follower risk

Medium

Heuristic estimate from view-through, engagement vs size and recent growth — a screening signal, not a guarantee.

👥 Audience demographics

Estimated

Modeled from this creator's niche, platform & region — a planning estimate, not connected analytics.

Gender split

Male 20% Female 80%

Age · peak 18-24

13-177%

18-2431%

25-3430%

35-4420%

45+12%

Top geographies

United States34%
India11%
United Kingdom8%
Brazil6%
Indonesia5%

Likely interests

EntertainmentLifestyleTrending

💚 Brand affinity

Estimated

Brands The R Programming Hub's audience is most likely to respond to — from detected sponsorships in this niche.

Keeps

Shopify

Epidemic Sound

Nebula

Incogni

Surfshark

BetterHelp

Audible

Genshin Impact

Saily

About

Welcome to our R programming channel, where we aim to provide informative and engaging content about the R programming language!

This channel is dedicated to helping users of all skill levels improve their R programming abilities. Whether you're just starting out and want to learn the fundamentals, or you're experienced with R and looking for more advanced strategies and techniques, our videos have something for you.

We cover a wide range of topics related to R programming, including data manipulation, data visualization, statistical analysis, machine learning, and more. Our videos include tutorials, walkthroughs, and practical examples that demonstrate how to use R to solve real-world problems.

So whether you're just starting out with R or you're a seasoned pro, our channel is the perfect place to learn and grow as an R programmer. Subscribe today and join the R programming community!