Name | n3_chennan_musical_instrument_samash_com |
---|---|
Data | 15.62M (+ 0B) |
Tables | 4 (+ 0) |
Columns | 17 (+ 0) |
Table Rows | 15,434 (+ 0) |
Media | 941.53M (+ 0B) |
Files | 7,065 (+ 0) |
Last Commit | 2023-06-19 18:36:38 (+ 169 d) |
This is a musical instruments database with 7,157 records from 949 brands (such as Access, Alexander, Analog Alien, Artino, Auralex, Bam, Charles Davis, Diezel, etc.). Each musical instrument has title, price and description. The whole musical instruments data set has 4 tables.
Tables | Rows | Columns | Non-empty |
---|---|---|---|
brand | 949 | title |
100%
|
brand_x_musical_instrument | 7,328 | brand_id |
100%
|
musical_instrument_id |
100%
|
||
musical_instrument | 7,157 | title |
100%
|
price |
100%
|
||
description |
99.66%
|
Size (Bytes) | Files |
---|---|
941.53M | 7,065 |
Time | Data | Tables | Columns | Rows | Media | Files |
---|---|---|---|---|---|---|
2023-06-19 (+ 169 d) | 15.62M (+ 0B) | 4 (+ 0) | 17 (+ 0) | 15,434 (+ 0) | 941.53M (+ 0B) | 7,065 (+ 0) |
2023-01-01 (+ 95 d) | 15.62M (+ 0B) | 4 (+ 0) | 17 (+ 0) | 15,434 (+ 0) | 941.53M (+ 0B) | 7,065 (+ 0) |
2022-09-27 (+ 271 d) | 15.62M (+ 0B) | 4 (+ 0) | 17 (+ 0) | 15,434 (+ 0) | 941.53M (+ 0B) | 7,065 (+ 0) |
2021-12-30 (+ 115 d) | 15.62M (+ 0B) | 4 (+ 0) | 17 (+ 0) | 15,434 (+ 0) | 941.53M (+ 0B) | 7,065 (+ 0) |
2021-09-05 (+ 150 d) | 15.62M (+ 0B) | 4 (+ 0) | 17 (+ 0) | 15,434 (+ 0) | 941.53M (+ 0B) | 7,065 (+ 0) |
2021-04-08 (+ 68 d) | 15.62M (+ 0B) | 4 (+ 0) | 17 (+ 0) | 15,434 (+ 0) | 941.53M (+ 0B) | 7,065 (+ 0) |
2021-01-29 (+ 120 d) | 15.62M (+ 0B) | 4 (+ 0) | 17 (+ 0) | 15,434 (+ 0) | 941.53M (+ 0B) | 7,065 (+ 0) |
2020-10-01 (+ 38 d) | 15.62M (+ 0B) | 4 (+ 0) | 17 (+ 0) | 15,434 (+ 0) | 941.53M (+ 0B) | 7,065 (+ 0) |
2020-08-23 (+ 141 d) | 15.62M (+ 0B) | 4 (+ 0) | 17 (+ 0) | 15,434 (+ 0) | 941.53M (+ 0B) | 7,065 (+ 0) |
2020-04-04 (+ 196 d) | 15.62M (+ 0B) | 4 (+ 0) | 17 (+ 0) | 15,434 (+ 0) | 941.53M (+ 0B) | 7,065 (+ 0) |
2019-09-21 (+ 197 d) | 15.62M (+ 0B) | 4 (+ 0) | 17 (+ 0) | 15,434 (+ 0) | 941.53M (+ 0B) | 7,065 (+ 0) |
2019-03-07 (+ 43 d) | 15.62M (+ 0B) | 4 (+ 0) | 17 (+ 0) | 15,434 (+ 0) | 941.53M (+ 0B) | 7,065 (+ 0) |
2019-01-23 (+ 44 d) | 15.62M (+ 0B) | 4 (+ 0) | 17 (+ 0) | 15,434 (+ 0) | 941.53M (+ 0B) | 7,065 (+ 0) |
2018-12-09 (+ 29 d) | 15.62M (+ 0B) | 4 (+ 0) | 17 (+ 0) | 15,434 (+ 0) | 941.53M (+ 0B) | 7,065 (+ 0) |
2018-11-09 (+ 27 d) | 15.62M (+ 7.98M) | 4 (+ 0) | 17 (+ 0) | 15,434 (+ 0) | 941.53M (+ 0B) | 7,065 (+ 0) |
2018-10-13 (+ 29 d) | 7.64M (+ 0B) | 4 (+ 0) | 17 (+ 0) | 15,434 (+ 0) | 941.53M (+ 0B) | 7,065 (+ 0) |
2018-09-13 (+ 34 d) | 7.64M (+ 0B) | 4 (+ 0) | 17 (+ 0) | 15,434 (+ 0) | 941.53M (+ 0B) | 7,065 (+ 0) |
2018-08-09 (+ 27 d) | 7.64M (+ 0B) | 4 (+ 0) | 17 (+ 0) | 15,434 (+ 0) | 941.53M (+ 0B) | 7,065 (+ 0) |
2018-07-12 (+ 31 d) | 7.64M (+ 0B) | 4 (+ 0) | 17 (+ 0) | 15,434 (+ 0) | 941.53M (+ 0B) | 7,065 (+ 0) |
2018-06-10 (+ 31 d) | 7.64M (+ 0B) | 4 (+ 0) | 17 (+ 0) | 15,434 (+ 0) | 941.53M (+ 0B) | 7,065 (+ 0) |
2018-05-10 (+ 28 d) | 7.64M (+ 0B) | 4 (+ 0) | 17 (+ 0) | 15,434 (+ 0) | 941.53M (+ 0B) | 7,065 (+ 0) |
2018-04-11 (+ 38 d) | 7.64M (+ 0B) | 4 (+ 0) | 17 (+ 0) | 15,434 (+ 0) | 941.53M (+ 0B) | 7,065 (+ 0) |
2018-03-03 (+ 35 d) | 7.64M (+ 0B) | 4 (+ 0) | 17 (+ 0) | 15,434 (+ 0) | 941.53M (+ 0B) | 7,065 (+ 0) |
2018-01-27 | 7.64M | 4 | 17 | 15,434 | 941.53M | 7,065 |
Contact us for pricing to download the latest commit / release of this database.
In the same time, you can also access this data set via API.
Select a membership plan and sign up. Return to this page, click Online Query to access the API query maker. Create and open an API call to acquire the data.
The scanning and profiling of data size increments are done separately from those of the number of rows.
Subscribe to be notified of major data releases and updates.
STAY IN THE LOOP.