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minimaxir
reddit-bigquery
R2015–2015
minimaxir / reddit-bigquery

reddit-bigquery

Code + Jupyter notebook for analyzing and visualizing Reddit Data quickly and easily

Explore on GitHubRead Hacker News discussions
3Distinct people
4Mentions
0Explicit recommenders
111GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Code + Jupyter notebook for analyzing and visualizing Reddit Data quickly and easily

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 3:56:07 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by day4 dated mentions

Observed mentions: 2015-10-04 04:16:14 UTC to 2015-10-27 16:56:13 UTC.

0122015-10-04 00:00:00 UTC to 2015-10-05 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsOct 42015-10-05 00:00:00 UTC to 2015-10-06 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2015-10-06 00:00:00 UTC to 2015-10-07 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2015-10-07 00:00:00 UTC to 2015-10-08 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2015-10-08 00:00:00 UTC to 2015-10-09 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2015-10-09 00:00:00 UTC to 2015-10-10 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2015-10-10 00:00:00 UTC to 2015-10-11 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2015-10-11 00:00:00 UTC to 2015-10-12 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2015-10-12 00:00:00 UTC to 2015-10-13 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2015-10-13 00:00:00 UTC to 2015-10-14 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2015-10-14 00:00:00 UTC to 2015-10-15 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2015-10-15 00:00:00 UTC to 2015-10-16 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsOct 152015-10-16 00:00:00 UTC to 2015-10-17 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2015-10-17 00:00:00 UTC to 2015-10-18 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2015-10-18 00:00:00 UTC to 2015-10-19 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2015-10-19 00:00:00 UTC to 2015-10-20 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2015-10-20 00:00:00 UTC to 2015-10-21 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2015-10-21 00:00:00 UTC to 2015-10-22 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2015-10-22 00:00:00 UTC to 2015-10-23 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2015-10-23 00:00:00 UTC to 2015-10-24 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2015-10-24 00:00:00 UTC to 2015-10-25 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2015-10-25 00:00:00 UTC to 2015-10-26 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2015-10-26 00:00:00 UTC to 2015-10-27 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2015-10-27 00:00:00 UTC to 2015-10-28 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 commentsOct 27

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
Oct 42015-10-04 00:00:00 UTC2015-10-05 00:00:00 UTC101
Oct 52015-10-05 00:00:00 UTC2015-10-06 00:00:00 UTC000
Oct 62015-10-06 00:00:00 UTC2015-10-07 00:00:00 UTC000
Oct 72015-10-07 00:00:00 UTC2015-10-08 00:00:00 UTC000
Oct 82015-10-08 00:00:00 UTC2015-10-09 00:00:00 UTC000
Oct 92015-10-09 00:00:00 UTC2015-10-10 00:00:00 UTC000
Oct 102015-10-10 00:00:00 UTC2015-10-11 00:00:00 UTC000
Oct 112015-10-11 00:00:00 UTC2015-10-12 00:00:00 UTC000
Oct 122015-10-12 00:00:00 UTC2015-10-13 00:00:00 UTC000
Oct 132015-10-13 00:00:00 UTC2015-10-14 00:00:00 UTC000
Oct 142015-10-14 00:00:00 UTC2015-10-15 00:00:00 UTC000
Oct 152015-10-15 00:00:00 UTC2015-10-16 00:00:00 UTC000
Oct 162015-10-16 00:00:00 UTC2015-10-17 00:00:00 UTC000
Oct 172015-10-17 00:00:00 UTC2015-10-18 00:00:00 UTC000
Oct 182015-10-18 00:00:00 UTC2015-10-19 00:00:00 UTC000
Oct 192015-10-19 00:00:00 UTC2015-10-20 00:00:00 UTC101
Oct 202015-10-20 00:00:00 UTC2015-10-21 00:00:00 UTC000
Oct 212015-10-21 00:00:00 UTC2015-10-22 00:00:00 UTC000
Oct 222015-10-22 00:00:00 UTC2015-10-23 00:00:00 UTC000
Oct 232015-10-23 00:00:00 UTC2015-10-24 00:00:00 UTC000
Oct 242015-10-24 00:00:00 UTC2015-10-25 00:00:00 UTC000
Oct 252015-10-25 00:00:00 UTC2015-10-26 00:00:00 UTC000
Oct 262015-10-26 00:00:00 UTC2015-10-27 00:00:00 UTC000
Oct 272015-10-27 00:00:00 UTC2015-10-28 00:00:00 UTC202

What Hacker News says

4 sources
minimaxir·Oct 19, 2015
Saying "the best way to start a Data Science project is to start a Data Science project" isn't helpful, especially since the article doesn't give any hints how to obtain, process, and visualize large sets of data. That is the actual bottleneck to learning how to use data science, and is an area where tutorials are sorely lacking. It's one of the main reasons I now open source the code in my blog posts for data analysis. (example: https://github.com/minimaxir/reddit-bigquery/blob/master/red... )
In How to Start a Data Science Project When You Are a Beginner

MAKE YOURSELF AT HOME

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