| Name | n3_lyz_comparecards.com |
|---|---|
| Data | 816K (+ 0B) |
| Tables | 7 (+ 0) |
| Columns | 61 (+ 0) |
| Table Rows | 938 (+ 0) |
| Media | 8.07M (+ 0B) |
| Files | 84 (+ 0) |
| Last Commit | 2023-06-19 18:12:05 (+ 169 d) |
This is a credit cards database with 84 records by 5 primary categories (Lowest Rates, Reward Program, Top Companies, Card Types and Credit Rating) and 27 sub-categories, such as Low Interest, Rewards, Chase, Discover, MasterCard, etc. Each record is comprised of title, image slug, regular purchase/intro purchase/intro bt apr etc. In the credit cards data set, there are other 2 improtant tables of related with these credit cards, they are card highlight with 498 records and 84 card review records with expert review, bottom line, good, not good, regular apr, intro apr, fee, benefit, overall, consumer review 5star / 4star / 3star / 2star / 1star and card in each. The whole United States credit cards data set consists of 7 tables.
| Tables | Rows | Columns | Non-empty |
|---|---|---|---|
| card | 84 | title |
100%
|
| image_slug |
100%
|
||
| regular_purchase_apr |
83.33%
|
||
| intro_purchase_apr |
82.14%
|
||
| intro_bt_apr |
83.33%
|
||
| annual_fee |
83.33%
|
||
| credit_needed |
83.33%
|
||
| card_brand |
83.33%
|
||
| transaction_fee |
83.33%
|
||
| transfer_fee |
78.57%
|
||
| penalty_apr |
61.9%
|
||
| rewards_rate |
78.57%
|
||
| zero_fraud_liability |
69.05%
|
||
| extended_warranty_program |
69.05%
|
||
| auto_rental_insurance |
69.05%
|
||
| roadside_assistance |
69.05%
|
||
| purchase_protection |
69.05%
|
||
| travel_assistance |
69.05%
|
||
| flight_accident_insurance |
69.05%
|
||
| lost_luggage_reimbursement |
69.05%
|
||
| concierge_service |
69.05%
|
||
| cash_advance_fee |
2.38%
|
||
| card_highlight | 498 | title |
100%
|
| card_id |
100%
|
||
| card |
100%
|
||
| card_review | 68 | expert_review |
100%
|
| bottom_line |
100%
|
||
| good |
100%
|
||
| not_good |
100%
|
||
| regular_apr |
98.53%
|
||
| intro_apr |
89.71%
|
||
| fee |
100%
|
||
| benefit |
98.53%
|
||
| overall |
100%
|
||
| consumer_review_5star |
97.06%
|
||
| consumer_review_4star |
97.06%
|
||
| consumer_review_3star |
97.06%
|
||
| consumer_review_2star |
97.06%
|
||
| consumer_review_1star |
97.06%
|
||
| card_id |
100%
|
||
| card |
100%
|
||
| category_1 | 5 | title |
100%
|
| category_2 | 27 | title |
100%
|
| category_1_id |
100%
|
||
| category_1 |
100%
|
||
| category_2_x_card | 256 | category_2_id |
100%
|
| card_id |
100%
|
| Size (Bytes) | Files |
|---|---|
| 8.07M | 84 |
| Time | Data | Tables | Columns | Rows | Media | Files |
|---|---|---|---|---|---|---|
| 2023-06-19 (+ 169 d) | 816K (+ 0B) | 7 (+ 0) | 61 (+ 0) | 938 (+ 0) | 8.07M (+ 0B) | 84 (+ 0) |
| 2023-01-01 (+ 95 d) | 816K (+ 0B) | 7 (+ 0) | 61 (+ 0) | 938 (+ 0) | 8.07M (+ 0B) | 84 (+ 0) |
| 2022-09-27 (+ 271 d) | 816K (+ 0B) | 7 (+ 0) | 61 (+ 0) | 938 (+ 0) | 8.07M (+ 0B) | 84 (+ 0) |
| 2021-12-30 (+ 115 d) | 816K (+ 0B) | 7 (+ 0) | 61 (+ 0) | 938 (+ 0) | 8.07M (+ 0B) | 84 (+ 0) |
| 2021-09-05 (+ 150 d) | 816K (+ 0B) | 7 (+ 0) | 61 (+ 0) | 938 (+ 0) | 8.07M (+ 0B) | 84 (+ 0) |
| 2021-04-08 (+ 68 d) | 816K (+ 0B) | 7 (+ 0) | 61 (+ 0) | 938 (+ 0) | 8.07M (+ 0B) | 84 (+ 0) |
| 2021-01-29 (+ 120 d) | 816K (+ 0B) | 7 (+ 0) | 61 (+ 0) | 938 (+ 0) | 8.07M (+ 0B) | 84 (+ 0) |
| 2020-10-01 (+ 38 d) | 816K (+ 0B) | 7 (+ 0) | 61 (+ 0) | 938 (+ 0) | 8.07M (+ 0B) | 84 (+ 0) |
| 2020-08-23 (+ 141 d) | 816K (+ 0B) | 7 (+ 0) | 61 (+ 0) | 938 (+ 0) | 8.07M (+ 0B) | 84 (+ 0) |
| 2020-04-04 (+ 196 d) | 816K (+ 0B) | 7 (+ 0) | 61 (+ 0) | 938 (+ 0) | 8.07M (+ 0B) | 84 (+ 0) |
| 2019-09-21 (+ 197 d) | 816K (+ 0B) | 7 (+ 0) | 61 (+ 0) | 938 (+ 0) | 8.07M (+ 0B) | 84 (+ 0) |
| 2019-03-07 (+ 43 d) | 816K (+ 0B) | 7 (+ 0) | 61 (+ 0) | 938 (+ 0) | 8.07M (+ 0B) | 84 (+ 0) |
| 2019-01-23 (+ 44 d) | 816K (+ 0B) | 7 (+ 0) | 61 (+ 0) | 938 (+ 0) | 8.07M (+ 0B) | 84 (+ 0) |
| 2018-12-09 (+ 29 d) | 816K (+ 0B) | 7 (+ 0) | 61 (+ 0) | 938 (+ 0) | 8.07M (+ 0B) | 84 (+ 0) |
| 2018-11-09 (+ 27 d) | 816K (+ 224K) | 7 (+ 0) | 61 (+ 0) | 938 (+ 0) | 8.07M (+ 0B) | 84 (+ 0) |
| 2018-10-13 (+ 29 d) | 592K (+ 0B) | 7 (+ 0) | 61 (+ 0) | 938 (+ 0) | 8.07M (+ 0B) | 84 (+ 0) |
| 2018-09-13 (+ 34 d) | 592K (+ 0B) | 7 (+ 0) | 61 (+ 0) | 938 (+ 0) | 8.07M (+ 0B) | 84 (+ 0) |
| 2018-08-09 (+ 27 d) | 592K (+ 0B) | 7 (+ 0) | 61 (+ 0) | 938 (+ 0) | 8.07M (+ 0B) | 84 (+ 0) |
| 2018-07-12 (+ 31 d) | 592K (+ 0B) | 7 (+ 0) | 61 (+ 0) | 938 (+ 0) | 8.07M (+ 0B) | 84 (+ 0) |
| 2018-06-10 (+ 31 d) | 592K (+ 0B) | 7 (+ 0) | 61 (+ 0) | 938 (+ 0) | 8.07M (+ 0B) | 84 (+ 0) |
| 2018-05-10 (+ 28 d) | 592K (+ 0B) | 7 (+ 0) | 61 (+ 0) | 938 (+ 0) | 8.07M (+ 0B) | 84 (+ 0) |
| 2018-04-11 (+ 38 d) | 592K (+ 0B) | 7 (+ 0) | 61 (+ 0) | 938 (+ 0) | 8.07M (+ 0B) | 84 (+ 0) |
| 2018-03-03 (+ 35 d) | 592K (+ 0B) | 7 (+ 0) | 61 (+ 0) | 938 (+ 0) | 8.07M (+ 0B) | 84 (+ 0) |
| 2018-01-27 (+ 29 d) | 592K (+ 32K) | 7 (+ 0) | 61 (+ 0) | 938 (- 12) | 8.07M (+ 0B) | 84 (+ 0) |
| 2017-12-29 (+ 20 d) | 560K (+ 0B) | 7 (+ 0) | 61 (+ 0) | 950 (+ 0) | 8.07M (+ 0B) | 84 (+ 0) |
| 2017-12-08 (+ 9 d) | 560K (+ 0B) | 7 (+ 0) | 61 (+ 0) | 950 (+ 0) | 8.07M (+ 0B) | 84 (+ 0) |
| 2017-11-28 (+ 19 d) | 560K (+ 0B) | 7 (+ 0) | 61 (+ 0) | 950 (+ 0) | 8.07M (+ 0B) | 84 (+ 0) |
| 2017-11-09 (+ 10 d) | 560K (+ 64K) | 7 (+ 0) | 61 (+ 0) | 950 (- 2) | 8.07M (+ 0B) | 84 (+ 0) |
| 2017-10-29 | 496K | 7 | 61 | 952 | 8.07M | 84 |
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