r/datascience rules, stats, and what to post
Know the rules before you post. So easy grandma can do it.
- To post
- No minimum in the rules
- To comment
- No minimum in the rules
- Self-promotion
- Allowed with conditions
- For every one self promotional post, you must have nine other posts or comments that are not self promotional.
- Links
- Allowed with conditions
- Video links and listicles are not allowed.
- Promo risk
- High
- From the rules, not from removal counts
- Community age
- 15 years
- Since Aug 2011
About r/datascience
A source-backed Rankhog guide to r/datascience: public rules, community context, posting fit, and startup-promotion risk before you publish.Checked from the r/datascience rules on Reddit.
r/datascience rules
11 rules, in the community's own words.
- 1
Be Respectful and Supportive
This rule embodies the principle of treating others with the same level of respect and kindness that you expect to receive. Whether offering advice, engaging in debates, or providing feedback, all interactions within the subreddit should be conducted in a courteous and supportive manner.
- 2
Stay On Topic
Off-topic discussions, unrelated content, and tangential remarks are subject to removal.
- 3
Use the Weekly Thread
For inquiries related to transitioning into the field or career advice, users are encouraged to utilize the designated weekly thread.
- 4
No Video Links
- 5
No Listicles
N free videos, Y free book, Z free courses, etc...
- 6
No Surveys
- 7
Limit Self-Promotion
Remember the reddit self-promotion rule of thumb: ""For every 1 time you post self-promotional content, 9 other posts (submissions or comments) should not contain self-promotional content.""
- 8
/r/datascience is not stack overflow
Some technical questions are better suited to stackoverflow.com.
- 9
/r/datascience is not a homework helper
- 10
/r/datascience is not a crowd-sourced Google
Looks like you're asking a basic question with a widely agreed upon answer. Try using a search engine instead. "Search engine questions" hurt the subreddit because they don't generate enough discussion and lower the overall quality of the forum.
- 11
Memes are only allowed on Mondays
See our "Meme Monday" announcement thread for more information https://www.reddit.com/r/datascience/comments/euot0h/introducing_meme_monday_memes_as_submissions_are/
What to post in r/datascience
What fits the room, and what gets removed.
Works well
- Starting a respectful debate about a specific data science methodology or concept.
- Sharing complex insights or findings related to data science practices.
- Asking a nuanced technical question that requires discussion rather than a simple factual answer.
Avoid
- Posting content that is off topic.
- Sharing video links or listicles.
- Asking basic questions that could be answered with a search engine.
- Posting self-promotional content without having nine other non-self promotional posts or comments.
- Posting memes on any day other than Mondays.
Best hours to post in r/datascience
No pattern yet. r/datascience does not have enough top posts from the last 90 days to name its best hours.
What r/datascience Is For
This space is for data science professionals to engage in discussions and debates on the subject of data science.
Rules That Matter Before Posting
The rules that really matter for posting here are Be Respectful and Supportive, Stay On Topic, Use the Weekly Thread, No Video Links, No Listicles, No Surveys, Limit Self-Promotion, and Memes are only allowed on Mondays.
What To Post
A good post here is a thoughtful discussion or a debate about a specific topic within data science. Since the community is for professionals, your content should be high quality and geared toward deep engagement.
What To Avoid
You should avoid off topic discussions, unrelated content, tangential remarks, video links, listicles, surveys, and asking basic questions that a search engine could answer. Also, remember that this subreddit is not a stack overflow or a homework helper.
A note from Anthony
When looking at the rules here, the restriction on self promotion seems pretty strict. It really puts the focus on making sure the community is giving value first. I also noticed they have a very specific rule about memes only being allowed on Mondays, which is definitely an unusual policy.
By Anthony Riera, founder and operator of Rankhog. Every guide is built from the community's own public rules and data, then checked by Rankhog's grounding audit before it goes live.
Common questions about r/datascience
What subreddits are similar to r/datascience?
Subreddits like r/datascience are r/science, r/Futurology, r/biology, r/computerscience and r/CSEducation.
Where is the best place to ask about career advice or transitioning into data science?
For inquiries related to transitioning into the field or career advice, you should utilize the designated weekly thread.
Can I post a list of free resources or ask for homework help?
No, listicles are not allowed, and the subreddit is not a homework helper.
Should I ask a very basic question here that has a widely agreed upon answer?
No, the community is not a crowd sourced Google, so try using a search engine for basic questions.
Subreddits like r/datascience
Other rooms for the same crowd.