The R Programming Hub✓

YouTube @therprogramminghub Lifestyle (sociology)

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🔄 Data last refreshed 15 hours ago

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Make a deal with The R Programming Hub

🔒 Paid proposals held safely in escrow — released only when the work's approved.

Subscribers

🔥 Buzz rank

#415,126 ▲3

Total Views

5.6K

Videos

Channel age

3 yrs

Est. monthly earnings

$1 – $2

🎁 Free analysisfor The R Programming Hub

🕵️Fake Followers CheckReal-audience % & bot risk→ 📊Engagement rateBenchmarked vs. peers→ 💰What they chargeFair sponsored-post price→

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

🎯 Reach quality

Subscriber activation · Exceptional

372.9%

Share of subscribers who watch a typical recent video (avg views ÷ subscribers) — the real reach behind the subscriber count, and a quick check on whether those subscribers are still active rather than a vanity number.

📈 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

332

Lifetime avg / video

Views / subscriber

Shorts (recent views)

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

💡 Facts

🗓️Joined YouTube in 2023 — 3 years ago.

🏆Ranked #52,577 among all influencers on SocialDB.

🎯Top Lifestyle (sociology) influencer — #12,506 in the niche.

👁️Averages 317 views per video.

📤Posts about 0.1× per week.

💬1.69% engagement rate.

👥 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

🕵️ Fake follower check

Estimated

83/100

Excellent Credibility score

88%

Real Real audience

Low Fake-follower risk

High Data confidence

Est. 88% real, active audience · Low fake-follower risk.
Strong engagement (~3.7× of subscribers watch each video) — an active, real audience.
Verified account.
Established account (3+ years old).
1.69% engagement — below the ~4.5% typical for this size.
Growing — gained 2 followers in the last 30 days.

Heuristic estimate from engagement, follower ratios, account age & growth — a screening signal, not a guarantee.

💚 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

BetterHelp

Incogni

Surfshark

Saily

Nebula

Genshin Impact

Fiverr

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!