Name | n3_chennan_abbreviation_allacronyms_com_1 |
---|---|
Data | 546.66M (+ 0B) |
Tables | 6 (+ 0) |
Columns | 34 (+ 0) |
Table Rows | 3,589,144 (+ 0) |
Media | 0B (+ 0B) |
Files | 0 (+ 0) |
Last Commit | 2023-06-19 18:36:38 (+ 169 d) |
In the abbreviations database, there are 1,294,038 records with initial, meaning and tag in each. These abbreviations are categorized into 10 main types and further into 260 categories. These main types are technology, military, government, business, science, organizations, medical, education, internet slang and locations. The whole abbreviations database totally has 6 tables.
Tables | Rows | Columns | Non-empty |
---|---|---|---|
category_3 | 6,760 | category_2_id |
100%
|
title |
100%
|
||
category_2 |
100%
|
||
category_1 | 10 | title |
100%
|
category_2 | 260 | title |
100%
|
category_1_id |
100%
|
||
category_1 |
100%
|
||
category_4 | 520,900 | title |
100%
|
category_3_id |
100%
|
||
category_4_x_abbreviation | 1,767,176 | category_4_id |
100%
|
abbreviation_id |
100%
|
||
abbreviation | 1,294,038 | tag |
99.99%
|
meaning |
100%
|
||
initial |
100%
|
No media sets.
Time | Data | Tables | Columns | Rows | Media | Files |
---|---|---|---|---|---|---|
2023-06-19 (+ 169 d) | 546.66M (+ 0B) | 6 (+ 0) | 34 (+ 0) | 3,589,144 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2023-01-01 (+ 95 d) | 546.66M (+ 0B) | 6 (+ 0) | 34 (+ 0) | 3,589,144 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2022-09-27 (+ 271 d) | 546.66M (+ 0B) | 6 (+ 0) | 34 (+ 0) | 3,589,144 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-12-30 (+ 115 d) | 546.66M (+ 0B) | 6 (+ 0) | 34 (+ 0) | 3,589,144 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-09-05 (+ 150 d) | 546.66M (+ 0B) | 6 (+ 0) | 34 (+ 0) | 3,589,144 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-04-08 (+ 68 d) | 546.66M (+ 0B) | 6 (+ 0) | 34 (+ 0) | 3,589,144 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-01-29 (+ 120 d) | 546.66M (+ 0B) | 6 (+ 0) | 34 (+ 0) | 3,589,144 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2020-10-01 (+ 38 d) | 546.66M (+ 0B) | 6 (+ 0) | 34 (+ 0) | 3,589,144 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2020-08-23 (+ 141 d) | 546.66M (+ 0B) | 6 (+ 0) | 34 (+ 0) | 3,589,144 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2020-04-04 (+ 196 d) | 546.66M (+ 0B) | 6 (+ 0) | 34 (+ 0) | 3,589,144 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2019-09-21 (+ 197 d) | 546.66M (+ 0B) | 6 (+ 0) | 34 (+ 0) | 3,589,144 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2019-03-07 (+ 43 d) | 546.66M (+ 0B) | 6 (+ 0) | 34 (+ 0) | 3,589,144 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2019-01-23 (+ 44 d) | 546.66M (+ 0B) | 6 (+ 0) | 34 (+ 0) | 3,589,144 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-12-09 (+ 29 d) | 546.66M (+ 0B) | 6 (+ 0) | 34 (+ 0) | 3,589,144 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-11-09 (+ 27 d) | 546.66M (+ 406.12M) | 6 (+ 0) | 34 (+ 0) | 3,589,144 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-10-13 (+ 29 d) | 140.53M (+ 0B) | 6 (+ 0) | 34 (+ 0) | 3,589,144 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-09-13 (+ 34 d) | 140.53M (+ 0B) | 6 (+ 0) | 34 (+ 0) | 3,589,144 (+ 193,607) | 0B (+ 0B) | 0 (+ 0) |
2018-08-09 (+ 27 d) | 140.53M (+ 0B) | 6 (+ 0) | 34 (+ 0) | 3,395,537 (+ 1,964,069) | 0B (+ 0B) | 0 (+ 0) |
2018-07-12 | 140.53M | 6 | 34 | 1,431,468 | 0B | 0 |
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