r/esProc_SPL
esProc_SPL
en
sProc SPL - Data analysis engine. Low code / High performance / Lightweight / Versatility . SPL Source code : https://github.com/SPLWare/esProc
N/A
9
October 13, 2023
restricted
N/A
Total Submissions
51
Total Comments
23
Earliest Submission
October 13, 2023
Earliest Comment
October 16, 2023
Rank↕ | Word↕ | Occurrences in Subreddit | Total Occurrences | Rate in Subreddit (per 1M words) | Rate in Reddit (per 1M words) | Ratio (Sub Rate / Reddit Rate) |
|---|---|---|---|---|---|---|
| #1 | 590 | 49,376 | 9634.5 | 0.4 | 23400.43 | |
| #2 | 52 | 18,060 | 849.1 | 0.2 | 5638.63 | |
| #3 | 260 | 132,180 | 4245.7 | 1.1 | 3852.08 | |
| #4 | 64 | 44,450 | 1045.1 | 0.4 | 2819.65 | |
| #5 | 117 | 87,824 | 1910.6 | 0.7 | 2608.92 | |
| #6 | 54 | 47,623 | 881.8 | 0.4 | 2220.57 | |
| #7 | 204 | 243,709 | 3331.3 | 2.0 | 1639.25 | |
| #8 | 311 | 385,619 | 5078.5 | 3.2 | 1579.39 | |
| #9 | 320 | 580,836 | 5225.5 | 4.8 | 1078.91 | |
| #10 | 316 | 651,547 | 5160.2 | 5.4 | 949.79 | |
| #11 | 84 | 185,344 | 1371.7 | 1.5 | 887.54 | |
| #12 | 39 | 92,848 | 636.9 | 0.8 | 822.58 | |
| #13 | 37 | 94,459 | 604.2 | 0.8 | 767.09 | |
| #14 | 66 | 172,164 | 1077.8 | 1.4 | 750.74 | |
| #15 | 411 | 1,104,217 | 6711.5 | 9.2 | 728.91 | |
| #16 | 44 | 122,372 | 718.5 | 1.0 | 704.14 | |
| #17 | 56 | 156,106 | 914.5 | 1.3 | 702.52 | |
| #18 | 34 | 100,697 | 555.2 | 0.8 | 661.23 | |
| #19 | 86 | 283,943 | 1404.4 | 2.4 | 593.14 | |
| #20 | 83 | 281,205 | 1355.4 | 2.3 | 578.02 | |
| #21 | 92 | 329,696 | 1502.3 | 2.7 | 546.46 | |
| #22 | 88 | 329,991 | 1437.0 | 2.8 | 522.24 | |
| #23 | 74 | 306,302 | 1208.4 | 2.6 | 473.12 | |
| #24 | 48 | 202,965 | 783.8 | 1.7 | 463.14 | |
| #25 | 367 | 1,571,531 | 5993.0 | 13.1 | 457.33 | |
| #26 | 199 | 881,753 | 3249.6 | 7.4 | 441.97 | |
| #27 | 163 | 823,195 | 2661.7 | 6.9 | 387.77 | |
| #28 | 34 | 181,043 | 555.2 | 1.5 | 367.78 | |
| #29 | 121 | 738,196 | 1975.9 | 6.2 | 321.00 | |
| #30 | 156 | 957,314 | 2547.4 | 8.0 | 319.12 | |
| #31 | 42 | 274,332 | 685.8 | 2.3 | 299.82 | |
| #32 | 386 | 2,688,553 | 6303.3 | 22.4 | 281.16 | |
| #33 | 78 | 556,099 | 1273.7 | 4.6 | 274.68 | |
| #34 | 61 | 477,866 | 996.1 | 4.0 | 249.98 | |
| #35 | 41 | 335,172 | 669.5 | 2.8 | 239.55 | |
| #36 | 30 | 294,411 | 489.9 | 2.5 | 199.55 | |
| #37 | 50 | 498,358 | 816.5 | 4.2 | 196.48 | |
| #38 | 73 | 739,450 | 1192.1 | 6.2 | 193.33 | |
| #39 | 34 | 377,103 | 555.2 | 3.1 | 176.57 | |
| #40 | 53 | 681,831 | 865.5 | 5.7 | 152.23 | |
| #41 | 239 | 3,178,948 | 3902.8 | 26.5 | 147.23 | |
| #42 | 84 | 1,193,988 | 1371.7 | 10.0 | 137.77 | |
| #43 | 41 | 606,538 | 669.5 | 5.1 | 132.38 | |
| #44 | 61 | 956,536 | 996.1 | 8.0 | 124.89 | |
| #45 | 162 | 2,781,472 | 2645.4 | 23.2 | 114.06 | |
| #46 | 64 | 1,153,310 | 1045.1 | 9.6 | 108.67 | |
| #47 | 429 | 7,750,568 | 7005.5 | 64.6 | 108.40 | |
| #48 | 45 | 827,670 | 734.8 | 6.9 | 106.47 | |
| #49 | 42 | 798,479 | 685.8 | 6.7 | 103.01 | |
| #50 | 76 | 1,518,015 | 1241.1 | 12.7 | 98.04 |