Name | n3_chennan_car_repair_cost_repairpal_com |
---|---|
Data | 101.55M (+ 0B) |
Tables | 5 (+ 0) |
Columns | 26 (+ 0) |
Table Rows | 371,758 (+ 0) |
Media | 0B (+ 0B) |
Files | 0 (+ 0) |
Last Commit | 2023-06-19 18:36:38 (+ 169 d) |
This is a car repair costs database with 0 records by 44 brands, 1,226 models and 0 years. Each auto repair cost is comprised of title, part and price.
These car repair costs data are classified into 8,376 categories with model and brand in each. There are 181,056 projects for this car repair costs with project, total price from, total price to and description in each.
The whole auto repair estimates data set has 5 tables in total.
Tables | Rows | Columns | Non-empty |
---|---|---|---|
brand | 44 | title |
100%
|
category | 8,376 | category |
100%
|
model |
100%
|
||
brand |
100%
|
||
category_x_project | 181,056 | category_id |
100%
|
project_id |
100%
|
||
model | 1,226 | model |
100%
|
brand |
100%
|
||
project | 181,056 | project |
100%
|
total_price_from |
100%
|
||
total_price_to |
100%
|
||
description |
100%
|
No media sets.
Time | Data | Tables | Columns | Rows | Media | Files |
---|---|---|---|---|---|---|
2023-06-19 (+ 169 d) | 101.55M (+ 0B) | 5 (+ 0) | 26 (+ 0) | 371,758 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2023-01-01 (+ 95 d) | 101.55M (+ 0B) | 5 (+ 0) | 26 (+ 0) | 371,758 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2022-09-27 (+ 271 d) | 101.55M (+ 0B) | 5 (+ 0) | 26 (+ 0) | 371,758 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-12-30 (+ 115 d) | 101.55M (+ 0B) | 5 (+ 0) | 26 (+ 0) | 371,758 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-09-05 (+ 150 d) | 101.55M (+ 23.03M) | 5 (+ 0) | 26 (+ 0) | 371,758 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-04-08 (+ 68 d) | 78.52M (- 0.26G) | 5 (- 6) | 26 (- 34) | 371,758 (- 1,461,900) | 0B (+ 0B) | 0 (+ 0) |
2021-01-29 (+ 120 d) | 345.14M (+ 127.84M) | 11 (+ 4) | 60 (+ 23) | 1,833,658 (+ 551,556) | 0B (+ 0B) | 0 (+ 0) |
2020-10-01 (+ 38 d) | 217.30M (+ 0B) | 7 (+ 0) | 37 (+ 0) | 1,282,102 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2020-08-23 (+ 141 d) | 217.30M (+ 0B) | 7 (+ 0) | 37 (+ 0) | 1,282,102 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2020-04-04 (+ 196 d) | 217.30M (+ 0B) | 7 (+ 0) | 37 (+ 0) | 1,282,102 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2019-09-21 (+ 197 d) | 217.30M (+ 0B) | 7 (+ 0) | 37 (+ 0) | 1,282,102 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2019-03-07 (+ 43 d) | 217.30M (+ 0B) | 7 (+ 0) | 37 (+ 0) | 1,282,102 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2019-01-23 (+ 44 d) | 217.30M (+ 0B) | 7 (+ 0) | 37 (+ 0) | 1,282,102 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-12-09 (+ 29 d) | 217.30M (+ 0B) | 7 (+ 0) | 37 (+ 0) | 1,282,102 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-11-09 (+ 27 d) | 217.30M (+ 117.59M) | 7 (+ 0) | 37 (+ 0) | 1,282,102 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-10-13 (+ 29 d) | 99.70M (+ 0B) | 7 (+ 0) | 37 (+ 0) | 1,282,102 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-09-13 (+ 34 d) | 99.70M (+ 0B) | 7 (+ 0) | 37 (+ 0) | 1,282,102 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-08-09 (+ 27 d) | 99.70M (+ 0B) | 7 (+ 0) | 37 (+ 0) | 1,282,102 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-07-12 (+ 31 d) | 99.70M (+ 0B) | 7 (+ 0) | 37 (+ 0) | 1,282,102 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-06-10 | 99.70M | 7 | 37 | 1,282,102 | 0B | 0 |
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