Word Analysis
Data for 2024
etl
2024
60,020
119,924,722,855
Top Subreddits (2024)
Year
2024
Total Word Occurrences
60,020
Total Words in Reddit
119,924,722,855
Rate in Reddit (per 1M words)
0.5
Rank↕ | Subreddit↕ | Occurrences in Subreddit | Total Words in Subreddit | Rate in Subreddit (per 1M words) | Ratio (Sub Rate / Reddit Rate) |
|---|---|---|---|---|---|
| #1 | r/ETL | 405 | 41,774 | 9695.0 | 19371.43 |
| #2 | r/Target | 18,851 | 15,620,648 | 1206.8 | 2411.28 |
| #3 | r/yardi | 156 | 130,977 | 1191.0 | 2379.81 |
| #4 | r/ai_ml_jobs | 46 | 47,752 | 963.3 | 1924.77 |
| #5 | r/EnemyTerritory | 36 | 40,037 | 899.2 | 1796.61 |
| #6 | r/u_softwaretraining1234 | 59 | 67,459 | 874.6 | 1747.53 |
| #7 | r/dataengineersindia | 101 | 123,307 | 819.1 | 1636.61 |
| #8 | r/u_AbsoluteInfoTech | 103 | 127,780 | 806.1 | 1610.60 |
| #9 | r/dataengineering | 5,810 | 8,490,119 | 684.3 | 1367.34 |
| #10 | r/BigDataJobs | 564 | 835,562 | 675.0 | 1348.69 |
| #11 | r/dataengineeringjobs | 91 | 166,364 | 547.0 | 1092.94 |
| #12 | r/snowflake | 348 | 687,157 | 506.4 | 1011.90 |
| #13 | r/BusinessIntelligence | 656 | 1,301,676 | 504.0 | 1006.96 |
| #14 | r/bigdata | 45 | 90,856 | 495.3 | 989.63 |
| #15 | r/sports_jobs | 638 | 1,608,128 | 396.7 | 792.71 |
| #16 | r/hagobuy | 158 | 427,321 | 369.7 | 738.78 |
| #17 | r/Alteryx | 42 | 125,079 | 335.8 | 670.93 |
| #18 | r/techjobs | 297 | 907,084 | 327.4 | 654.22 |
| #19 | r/databricks | 151 | 496,241 | 304.3 | 607.99 |
| #20 | r/MicrosoftFabric | 318 | 1,162,829 | 273.5 | 546.42 |
| #21 | r/USJobLeads | 255 | 1,030,824 | 247.4 | 494.27 |
| #22 | r/Cadets | 61 | 260,751 | 233.9 | 467.43 |
| #23 | r/PLCB | 85 | 384,375 | 221.1 | 441.85 |
| #24 | r/apachespark | 38 | 179,886 | 211.2 | 422.08 |
| #25 | r/lossprevention | 189 | 923,326 | 204.7 | 409.00 |
| #26 | r/jobbit | 552 | 2,869,600 | 192.4 | 384.35 |
| #27 | r/SQLServer | 202 | 1,052,391 | 191.9 | 383.52 |
| #28 | r/BourbonHunt | 30 | 161,383 | 185.9 | 371.43 |
| #29 | r/dataanalyst | 59 | 359,122 | 164.3 | 328.26 |
| #30 | r/SpainReps | 93 | 573,808 | 162.1 | 323.84 |
| #31 | r/SQL | 536 | 3,430,605 | 156.2 | 312.18 |
| #32 | r/bigquery | 33 | 219,865 | 150.1 | 299.90 |
| #33 | r/NYCjobs | 143 | 954,591 | 149.8 | 299.32 |
| #34 | r/czechmemes | 108 | 728,457 | 148.3 | 296.23 |
| #35 | r/okkamaraderetarde | 75 | 550,051 | 136.4 | 272.44 |
| #36 | r/PowerBI | 846 | 6,378,859 | 132.6 | 265.00 |
| #37 | r/apachekafka | 39 | 303,609 | 128.5 | 256.66 |
| #38 | r/analytics | 284 | 2,239,654 | 126.8 | 253.37 |
| #39 | r/tableau | 122 | 1,050,080 | 116.2 | 232.14 |
| #40 | r/ChicagolandWhiskey | 31 | 273,188 | 113.5 | 226.73 |
| #41 | r/czech | 6,291 | 56,382,593 | 111.6 | 222.94 |
| #42 | r/OhioLiquor | 160 | 1,657,216 | 96.5 | 192.91 |
| #43 | r/romancelandia | 82 | 916,572 | 89.5 | 178.76 |
| #44 | r/dramionebookclub | 92 | 1,062,964 | 86.6 | 172.93 |
| #45 | r/Database | 55 | 637,740 | 86.2 | 172.32 |
| #46 | r/dataanalysis | 144 | 1,918,920 | 75.0 | 149.94 |
| #47 | r/evcharging | 291 | 4,058,598 | 71.7 | 143.26 |
| #48 | r/VirtualPiano | 42 | 626,606 | 67.0 | 133.93 |
| #49 | r/Dramione | 645 | 10,638,087 | 60.6 | 121.15 |
| #50 | r/PostgreSQL | 72 | 1,224,899 | 58.8 | 117.45 |
Showing 50 of 50 subreddits