Name | n3_chennan_abbreviation_allacronyms_com |
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Data | 358.30M (+ 0B) |
Tables | 6 (+ 0) |
Columns | 34 (+ 0) |
Table Rows | 2,491,114 (+ 0) |
Media | 0B (+ 0B) |
Files | 0 (+ 0) |
Last Commit | 2023-06-19 18:36:38 (+ 169 d) |
This is the most comprehensive database of all acronyms and abbreviations with 854,052 records by 10 categories as industry. Each record is comprised of initial and meaning. These 10 categories are technology, military, government, business, science, organizations, medical, education, internet slang and locations. This acronyms and abbreviations database is definitely a great dictionary having practical, complete and user-friendly features.
There are 6 tables in the whole acronyms and abbreviations API.
Tables | Rows | Columns | Non-empty |
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abbreviation | 854,052 | initial |
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meaning |
100%
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tag |
0.06%
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category_1 | 10 | title |
100%
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category_2 | 260 | title |
100%
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category_1_id |
100%
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category_1 |
100%
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category_3 | 6,760 | title |
100%
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category_2_id |
100%
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category_2 |
100%
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category_4 | 494,351 | title |
100%
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category_3_id |
100%
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category_4_x_abbreviation | 1,135,681 | category_4_id |
100%
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abbreviation_id |
100%
|
No media sets.
Time | Data | Tables | Columns | Rows | Media | Files |
---|---|---|---|---|---|---|
2023-06-19 (+ 169 d) | 358.30M (+ 0B) | 6 (+ 0) | 34 (+ 0) | 2,491,114 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2023-01-01 (+ 95 d) | 358.30M (+ 0B) | 6 (+ 0) | 34 (+ 0) | 2,491,114 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2022-09-27 (+ 271 d) | 358.30M (+ 0B) | 6 (+ 0) | 34 (+ 0) | 2,491,114 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-12-30 (+ 115 d) | 358.30M (+ 0B) | 6 (+ 0) | 34 (+ 0) | 2,491,114 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-09-05 (+ 150 d) | 358.30M (+ 0B) | 6 (+ 0) | 34 (+ 0) | 2,491,114 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-04-08 (+ 68 d) | 358.30M (+ 0B) | 6 (+ 0) | 34 (+ 0) | 2,491,114 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-01-29 (+ 120 d) | 358.30M (+ 0B) | 6 (+ 0) | 34 (+ 0) | 2,491,114 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2020-10-01 (+ 38 d) | 358.30M (+ 0B) | 6 (+ 0) | 34 (+ 0) | 2,491,114 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2020-08-23 (+ 141 d) | 358.30M (+ 0B) | 6 (+ 0) | 34 (+ 0) | 2,491,114 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2020-04-04 (+ 196 d) | 358.30M (+ 0B) | 6 (+ 0) | 34 (+ 0) | 2,491,114 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2019-09-21 (+ 197 d) | 358.30M (+ 0B) | 6 (+ 0) | 34 (+ 0) | 2,491,114 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2019-03-07 (+ 43 d) | 358.30M (+ 0B) | 6 (+ 0) | 34 (+ 0) | 2,491,114 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2019-01-23 (+ 44 d) | 358.30M (+ 0B) | 6 (+ 0) | 34 (+ 0) | 2,491,114 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-12-09 (+ 29 d) | 358.30M (+ 0B) | 6 (+ 0) | 34 (+ 0) | 2,491,114 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-11-09 (+ 27 d) | 358.30M (- 28.34M) | 6 (+ 0) | 34 (+ 0) | 2,491,114 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-10-13 (+ 29 d) | 386.64M (+ 0B) | 6 (+ 0) | 34 (+ 0) | 2,491,114 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-09-13 (+ 34 d) | 386.64M (+ 0B) | 6 (+ 0) | 34 (+ 0) | 2,491,114 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-08-09 (+ 27 d) | 386.64M (+ 0B) | 6 (+ 0) | 34 (+ 0) | 2,491,114 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-07-12 (+ 31 d) | 386.64M (+ 283.73M) | 6 (+ 0) | 34 (+ 1) | 2,491,114 (+ 65,560) | 0B (+ 0B) | 0 (+ 0) |
2018-06-10 (+ 31 d) | 102.91M (+ 0B) | 6 (+ 0) | 33 (+ 0) | 2,425,554 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-05-10 (+ 28 d) | 102.91M (+ 0B) | 6 (+ 0) | 33 (+ 0) | 2,425,554 (+ 855,521) | 0B (+ 0B) | 0 (+ 0) |
2018-04-11 | 102.91M | 6 | 33 | 1,570,033 | 0B | 0 |
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