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Update youtube-dislikes.md
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rfraposa
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@ -244,11 +244,10 @@ FROM
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) WHERE view_range > 1
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ORDER BY
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is_comments_enabled ASC,
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num_views ASC
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num_views ASC;
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```
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```response
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┌─views─────────────┬─is_comments_enabled─┬────prob_like_dislike─┐
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│ < 10.00 │ false │ 0.08224180712685371 │
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│ < 100.00 │ false │ 0.06346337759167248 │
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@ -273,134 +272,10 @@ ORDER BY
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└───────────────────┴─────────────────────┴──────────────────────┘
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22 rows in set. Elapsed: 8.460 sec. Processed 4.56 billion rows, 77.48 GB (538.73 million rows/s., 9.16 GB/s.)
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```
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Enabling comments seems to be correlated with a higher rate of engagement.
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### How does the number of videos change over time - notable events?
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```sql
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SELECT
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toStartOfMonth(toDateTime(upload_date)) AS month,
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uniq(uploader_id) AS uploaders,
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count() as num_videos,
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sum(view_count) as view_count
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FROM youtube
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WHERE (month >= '2005-01-01') AND (month < '2021-12-01')
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GROUP BY month
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ORDER BY month ASC
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```
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```response
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┌──────month─┬─uploaders─┬─num_videos─┬───view_count─┐
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│ 2005-04-01 │ 5 │ 6 │ 213597737 │
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│ 2005-05-01 │ 6 │ 9 │ 2944005 │
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│ 2005-06-01 │ 165 │ 351 │ 18624981 │
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│ 2005-07-01 │ 395 │ 1168 │ 94164872 │
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│ 2005-08-01 │ 1171 │ 3128 │ 124540774 │
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│ 2005-09-01 │ 2418 │ 5206 │ 475536249 │
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│ 2005-10-01 │ 6750 │ 13747 │ 737593613 │
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│ 2005-11-01 │ 13706 │ 28078 │ 1896116976 │
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│ 2005-12-01 │ 24756 │ 49885 │ 2478418930 │
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│ 2006-01-01 │ 49992 │ 100447 │ 4532656581 │
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│ 2006-02-01 │ 67882 │ 138485 │ 5677516317 │
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│ 2006-03-01 │ 103358 │ 212237 │ 8430301366 │
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│ 2006-04-01 │ 114615 │ 234174 │ 9980760440 │
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│ 2006-05-01 │ 152682 │ 332076 │ 14129117212 │
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│ 2006-06-01 │ 193962 │ 429538 │ 17014143263 │
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│ 2006-07-01 │ 234401 │ 530311 │ 18721143410 │
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│ 2006-08-01 │ 281280 │ 614128 │ 20473502342 │
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│ 2006-09-01 │ 312434 │ 679906 │ 23158422265 │
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│ 2006-10-01 │ 404873 │ 897590 │ 27357846117 │
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```
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A spike of uploaders [around covid is noticeable](https://www.theverge.com/2020/3/27/21197642/youtube-with-me-style-videos-views-coronavirus-cook-workout-study-home-beauty).
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### More subtitiles over time and when
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With advances in speech recognition, it’s easier than ever to create subtitles for video with youtube adding auto-captioning in late 2009 - was the jump then?
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```sql
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SELECT
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toStartOfMonth(upload_date) AS month,
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countIf(has_subtitles) / count() AS percent_subtitles,
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percent_subtitles - any(percent_subtitles) OVER (ORDER BY month ASC ROWS BETWEEN 1 PRECEDING AND 1 PRECEDING) AS previous
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FROM youtube
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WHERE (month >= '2015-01-01') AND (month < '2021-12-02')
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GROUP BY month
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ORDER BY month ASC
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```
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```response
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┌──────month─┬───percent_subtitles─┬────────────────previous─┐
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│ 2015-01-01 │ 0.2652653881082824 │ 0.2652653881082824 │
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│ 2015-02-01 │ 0.3147556050309162 │ 0.049490216922633834 │
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│ 2015-03-01 │ 0.32460464492371877 │ 0.009849039892802558 │
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│ 2015-04-01 │ 0.33471963051468445 │ 0.010114985590965686 │
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│ 2015-05-01 │ 0.3168087575501062 │ -0.017910872964578273 │
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│ 2015-06-01 │ 0.3162609788438222 │ -0.0005477787062839745 │
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│ 2015-07-01 │ 0.31828767677518033 │ 0.0020266979313581235 │
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│ 2015-08-01 │ 0.3045551564286859 │ -0.013732520346494415 │
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│ 2015-09-01 │ 0.311221133995152 │ 0.006665977566466086 │
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│ 2015-10-01 │ 0.30574870926812175 │ -0.005472424727030245 │
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│ 2015-11-01 │ 0.31125409712077234 │ 0.0055053878526505895 │
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│ 2015-12-01 │ 0.3190967954651779 │ 0.007842698344405541 │
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│ 2016-01-01 │ 0.32636021432496176 │ 0.007263418859783877 │
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```
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The data results show a spike in 2009. Apparently at that, time YouTube was removing their community captions feature, which allowed you to upload captions for other people's video.
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This prompted a very successful campaign to have creators add captions to their videos for hard of hearing and deaf viewers.
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### Top uploaders over time
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```sql
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WITH uploaders AS
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(
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SELECT uploader
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FROM youtube
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GROUP BY uploader
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ORDER BY sum(view_count) DESC
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LIMIT 10
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)
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SELECT
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month,
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uploader,
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sum(view_count) AS total_views,
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avg(dislike_count / like_count) AS like_to_dislike_ratio
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FROM youtube
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WHERE uploader IN (uploaders)
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GROUP BY
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toStartOfMonth(upload_date) AS month,
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uploader
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ORDER BY
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month ASC,
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total_views DESC
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1001 rows in set. Elapsed: 34.917 sec. Processed 4.58 billion rows, 69.08 GB (131.15 million rows/s., 1.98 GB/s.)
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```
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```response
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┌──────month─┬─uploader───────────────────┬─total_views─┬─like_to_dislike_ratio─┐
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│ 1970-01-01 │ T-Series │ 10957099 │ 0.022784656361208206 │
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│ 1970-01-01 │ Ryan's World │ 0 │ 0.003035559410234172 │
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│ 1970-01-01 │ SET India │ 0 │ nan │
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│ 2006-09-01 │ Cocomelon - Nursery Rhymes │ 256406497 │ 0.7005566715978622 │
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│ 2007-06-01 │ Cocomelon - Nursery Rhymes │ 33641320 │ 0.7088650914344298 │
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│ 2008-02-01 │ WWE │ 43733469 │ 0.07198856488734842 │
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│ 2008-03-01 │ WWE │ 16514541 │ 0.1230603715431997 │
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│ 2008-04-01 │ WWE │ 5907295 │ 0.2089399470159618 │
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│ 2008-05-01 │ WWE │ 7779627 │ 0.09101676560436774 │
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│ 2008-06-01 │ WWE │ 7018780 │ 0.0974184753155297 │
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│ 2008-07-01 │ WWE │ 4686447 │ 0.1263845422065158 │
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│ 2008-08-01 │ WWE │ 4514312 │ 0.08384574274791441 │
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│ 2008-09-01 │ WWE │ 3717092 │ 0.07872802579349912 │
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```
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### How do like ratio changes as views go up?
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```sql
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@ -421,13 +296,10 @@ GROUP BY
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ORDER BY
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view_range ASC,
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is_comments_enabled ASC
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)
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20 rows in set. Elapsed: 9.043 sec. Processed 4.56 billion rows, 77.48 GB (503.99 million rows/s., 8.57 GB/s.)
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);
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```
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```response
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┌─view_range────────┬─is_comments_enabled─┬─like_ratio─┐
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│ < 10.00 │ false │ 0.66 │
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│ < 10.00 │ true │ 0.66 │
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@ -451,6 +323,7 @@ ORDER BY
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│ < 10.00 billion │ true │ 19.5 │
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└───────────────────┴─────────────────────┴────────────┘
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20 rows in set. Elapsed: 63.664 sec. Processed 4.56 billion rows, 113.93 GB (71.59 million rows/s., 1.79 GB/s.)
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```
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### How are views distributed?
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@ -468,9 +341,7 @@ FROM
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)
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ARRAY JOIN
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quantiles,
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labels
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12 rows in set. Elapsed: 1.864 sec. Processed 4.56 billion rows, 36.46 GB (2.45 billion rows/s., 19.56 GB/s.)
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labels;
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```
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```response
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@ -488,4 +359,6 @@ ARRAY JOIN
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│ 20th │ 16 │
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│ 10th │ 6 │
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└────────────┴─────────┘
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12 rows in set. Elapsed: 1.864 sec. Processed 4.56 billion rows, 36.46 GB (2.45 billion rows/s., 19.56 GB/s.)
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```
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