- Subscribers
- 223,365
- Average Upvotes
- 26.1
- Average Comments
- 17.1
- Min. Upvotes to HOT
- 1
r/dataanalysis
Best Time to Post on r/dataanalysis (UTC TIME)
r/dataanalysis peaks Tuesdays 12pm-2pm UTC
dataanalysis Subscriber Count - redditli.st
About r/dataanalysis
r/dataanalysis was created on July 29, 2014, making it 12 years and 2 months old and one of the older subreddits on Reddit. With 223,365 members, this is a mid-size community that has built a substantial following and typically sees consistent daily activity.
r/dataanalysis is experiencing strong growth, with 4,000 new members in the last 30 days.
r/dataanalysis Engagement Analysis
r/dataanalysis shows moderate engagement relative to its size, with an average of 26.1 upvotes per post across its 223,365 members. The community is highly discussion-oriented, with a comment-to-upvote ratio of 0.66. To reach the Hot section of r/dataanalysis, posts typically need at least 1 upvotes, reflecting the community's activity level.
Posts on r/dataanalysis receive an average of 17.1 comments, indicating a highly engaged community where members actively participate in conversations rather than passively consuming content. This level of discussion is characteristic of communities that value dialogue and diverse perspectives.
r/dataanalysis Posting Patterns Analysis
Based on an analysis of 27 top posts from the past week, Tuesday is the most active day with 8 posts reaching the top, while Thursday sees the least activity with 2 posts. Weekday activity is higher than weekends, suggesting a more professionally-oriented community.
The peak posting hours are around 12pm UTC (4 posts), 5pm UTC (3 posts), and 1pm UTC (2 posts). The quietest hours are 6pm UTC, 10pm UTC, and 5am UTC, with only 1-1 posts each reaching the top during these times.
Weekly breakdown: Monday (6), Tuesday (8), Wednesday (5), Thursday (2), Friday (3), Saturday (0), Sunday (3) posts reaching the top.
r/dataanalysis Growth Analysis
r/dataanalysis currently has 223,365 subscribers. Over the past 30 days, the community has grown by 4,000 members (1.82%), averaging 125 new subscribers per day. This growth rate places r/dataanalysis in the top 2% of all tracked subreddits.
Over the past 90 days, r/dataanalysis has gained 11,711 subscribers (5.53%). Since tracking began 613 days ago, the community has added 88,729 total subscribers. Growth has been accelerating recently compared to the longer-term trend.
r/dataanalysis Milestones
- Fastest growth period: +2,877 subscribers May 2025
r/dataanalysis Growth Trend
r/dataanalysis is experiencing strong growth, with 4,000 new members in the last 30 days.
Frequently Asked Questions
How many subscribers does r/dataanalysis have?
r/dataanalysis has 223,365 subscribers as of October 2026.
What is the best time to post on r/dataanalysis?
The best time to post on r/dataanalysis is Tuesdays 12pm-2pm UTC, based on analysis of top-performing posts from the past week.
Is r/dataanalysis growing?
r/dataanalysis is experiencing strong growth, with 4,000 new members in the last 30 days.
When was r/dataanalysis created?
r/dataanalysis was created on July 29, 2014, making it 12 years old.
How many upvotes do you need to reach Hot on r/dataanalysis?
Posts on r/dataanalysis typically need at least 1 upvotes to reach the Hot section.
r/dataanalysis Key Statistics Summary
r/dataanalysis is a Reddit community with 223,365 subscribers. The community describes itself as: "This is a place to discuss and post about data analysis. Rules: - Career-focused questions belong in r/DataAnalysisCareers - Comments should remain civil and courteous. - All reddit-wide rules..." The best time to post on r/dataanalysis is Tuesdays 12pm-2pm UTC. Posts receive an average of 26.1 upvotes and 17.1 comments. The minimum upvotes needed to reach the Hot section is approximately 1. The subreddit is adding approximately 125 new members each day. Founded 12 years ago, r/dataanalysis is tracked and analyzed by RedditList as part of its comprehensive database of over 106,367 subreddits.
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Last updated: 2026-07-24 04:05:29