This dataset contains all stories and comments from Hacker News from its launch in 2006. Each story contains a story ID, the author that made the post, when it was written, and the number of points the story received.
You can start exploring this data in the BigQuery console:
Here are some examples of SQL queries you can run on this data in BigQuery.
These samples use BigQuery’s legacy SQL by setting the
prefix. For more information, see Setting a query prefix.
How are Hacker News story points distributed?
If you use the score as a dimension (group by score, in SQL) and count the number of posts with each score, you can get an idea about how likely a story is to get a given score.
#legacySQL SELECT stories.score AS stories_score, COUNT(stories.id) AS stories_count FROM [bigquery-public-data:hacker_news.stories] AS stories WHERE NOT (stories.score IS NULL) GROUP EACH BY 1 ORDER BY 1 LIMIT 500
Where do the stories live?
By parsing out the host from the URL you can see where Hacker News stories originate.
#legacySQL SELECT REGEXP_EXTRACT((REGEXP_EXTRACT(stories.url,'http://([^/]+)/')),'([^\\.]+\\.[^\\.]+(?:\\.[a-zA-Z].)?)$') AS stories_url_domain, COUNT(stories.id) AS stories_count, COUNT(CASE WHEN stories.score >= 7 THEN 1 ELSE NULL END) AS storiescountscore_7_plus, 100.0 * (COUNT(CASE WHEN stories.score >= 7 THEN 1 ELSE NULL END)) / (COUNT(stories.id)) AS stories_percent_7_plus FROM [bigquery-public-data:hacker_news.stories] AS stories GROUP EACH BY 1 HAVING (COUNT(CASE WHEN stories.score >= 7 THEN 1 ELSE NULL END) >= 6) ORDER BY 3 DESC LIMIT 500
About the data
Dataset Source: Hacker News
Category: Media, Social
Use: This dataset is publicly available for anyone to use under the following terms provided by the Dataset Source — https://github.com/HackerNews/API — and is provided "AS IS" without any warranty, express or implied, from Google. Google disclaims all liability for any damages, direct or indirect, resulting from the use of the dataset.
Update Frequency: Daily
View in BigQuery: Go to the Hacker News dataset