| 1 |
175 |
Combine Two Tables |
🟢 Easy |
| 2 |
176 |
Second Highest Salary |
🟡 Medium |
| 3 |
177 |
Nth Highest Salary |
🟡 Medium |
| 4 |
178 |
Rank Scores |
🟡 Medium |
| 5 |
180 |
Consecutive Numbers |
🟡 Medium |
| 6 |
181 |
Employees Earning More Than Their Managers |
🟢 Easy |
| 7 |
182 |
Duplicate Emails |
🟢 Easy |
| 8 |
183 |
Customers Who Never Order |
🟢 Easy |
| 9 |
184 |
Department Highest Salary |
🟡 Medium |
| 10 |
185 |
Department Top Three Salaries |
🔴 Hard |
| 11 |
196 |
Delete Duplicate Emails |
🟢 Easy |
| 12 |
197 |
Rising Temperature |
🟢 Easy |
| 13 |
262 |
Trips and Users |
🔴 Hard |
| 14 |
511 |
Game Play Analysis I |
🟢 Easy |
| 15 |
550 |
Game Play Analysis IV |
🟡 Medium |
| 16 |
570 |
Managers with at Least 5 Direct Reports |
🟡 Medium |
| 17 |
577 |
Employee Bonus |
🟢 Easy |
| 18 |
584 |
Find Customer Referee |
🟢 Easy |
| 19 |
585 |
Investments in 2016 |
🟡 Medium |
| 20 |
586 |
Customer Placing the Largest Number of Orders |
🟢 Easy |
| 21 |
595 |
Big Countries |
🟢 Easy |
| 22 |
596 |
Classes With at Least 5 Students |
🟢 Easy |
| 23 |
601 |
Human Traffic of Stadium |
🔴 Hard |
| 24 |
602 |
Friend Requests II: Who Has the Most Friends |
🟡 Medium |
| 25 |
607 |
Sales Person |
🟢 Easy |
| 26 |
608 |
Tree Node |
🟡 Medium |
| 27 |
610 |
Triangle Judgement |
🟢 Easy |
| 28 |
619 |
Biggest Single Number |
🟢 Easy |
| 29 |
620 |
Not Boring Movies |
🟢 Easy |
| 30 |
626 |
Exchange Seats |
🟡 Medium |
| 31 |
627 |
Swap Sex of Employees |
🟢 Easy |
| 32 |
1045 |
Customers Who Bought All Products |
🟡 Medium |
| 33 |
1050 |
Actors and Directors Who Cooperated At Least Three Times |
🟢 Easy |
| 34 |
1068 |
Product Sales Analysis I |
🟢 Easy |
| 35 |
1070 |
Product Sales Analysis III |
🟡 Medium |
| 36 |
1075 |
Project Employees I |
🟢 Easy |
| 37 |
1084 |
Sales Analysis III |
🟢 Easy |
| 38 |
1141 |
User Activity for the Past 30 Days I |
🟢 Easy |
| 39 |
1148 |
Article Views I |
🟢 Easy |
| 40 |
1158 |
Market Analysis I |
🟡 Medium |
| 41 |
1164 |
Product Price at a Given Date |
🟡 Medium |
| 42 |
1174 |
Immediate Food Delivery II |
🟡 Medium |
| 43 |
1179 |
Reformat Department Table |
🟢 Easy |
| 44 |
1193 |
Monthly Transactions I |
🟡 Medium |
| 45 |
1204 |
Last Person to Fit in the Bus |
🟡 Medium |
| 46 |
1211 |
Queries Quality and Percentage |
🟢 Easy |
| 47 |
1251 |
Average Selling Price |
🟢 Easy |
| 48 |
1280 |
Students and Examinations |
🟢 Easy |
| 49 |
1321 |
Restaurant Growth |
🟡 Medium |
| 50 |
1327 |
List the Products Ordered in a Period |
🟢 Easy |
| 51 |
1341 |
Movie Rating |
🟡 Medium |
| 52 |
1378 |
Replace Employee ID With The Unique Identifier |
🟢 Easy |
| 53 |
1393 |
Capital Gain/Loss |
🟡 Medium |
| 54 |
1407 |
Top Travellers |
🟢 Easy |
| 55 |
1484 |
Group Sold Products By The Date |
🟢 Easy |
| 56 |
1517 |
Find Users With Valid E-Mails |
🟢 Easy |
| 57 |
1527 |
Patients With a Condition |
🟢 Easy |
| 58 |
1581 |
Customer Who Visited but Did Not Make Any Transactions |
🟢 Easy |
| 59 |
1587 |
Bank Account Summary II |
🟢 Easy |
| 60 |
1633 |
Percentage of Users Attended a Contest |
🟢 Easy |
| 61 |
1661 |
Average Time of Process per Machine |
🟢 Easy |
| 62 |
1667 |
Fix Names in a Table1683. Invalid Tweets |
🟢 Easy |
| 63 |
1683 |
Invalid Tweets |
🟢 Easy |
| 64 |
1693 |
Daily Leads and Partners |
🟢 Easy |
| 65 |
1729 |
Find Followers Count |
🟢 Easy |
| 66 |
1731 |
The Number of Employees Which Report to Each Employee |
🟢 Easy |
| 67 |
1741 |
Find Total Time Spent by Each Employee |
🟢 Easy |
| 68 |
1757 |
Recyclable and Low Fat Products |
🟢 Easy |
| 69 |
1789 |
Primary Department for Each Employee |
🟢 Easy |
| 70 |
1795 |
Rearrange Products Table |
🟢 Easy |
| 71 |
1873 |
Calculate Special Bonus |
🟢 Easy |
| 72 |
1890 |
The Latest Login in 2020 |
🟢 Easy |
| 73 |
1907 |
Count Salary Categories |
🟡 Medium |
| 74 |
1934 |
Confirmation Rate |
🟡 Medium |
| 75 |
1965 |
Employees With Missing Information |
🟢 Easy |
| 76 |
1978 |
Employees Whose Manager Left the Company |
🟢 Easy |
| 77 |
2356 |
Number of Unique Subjects Taught by Each Teacher |
🟢 Easy |
| 78 |
3220 |
Odd and Even Transactions |
🟡 Medium |
| 79 |
3374 |
First Letter Capitalization II |
🔴 Hard |
| 80 |
3421 |
Find Students Who Improved |
🟡 Medium |
| 81 |
3436 |
Find Valid Emails |
🟢 Easy |
| 82 |
3451 |
Find Invalid IP Addresses |
🔴 Hard |
| 83 |
3465 |
Find Products with Valid Serial Numbers |
🟢 Easy |
| 84 |
3475 |
DNA Pattern Recognition |
🟡 Medium |
| 85 |
3482 |
Analyze Organization Hierarchy |
🔴 Hard |
| 86 |
3497 |
Analyze Subscription Conversion |
🟡 Medium |
| 87 |
3521 |
Find Product Recommendation Pairs |
🟡 Medium |
| 88 |
3554 |
Find Category Recommendation Pairs |
🔴 Hard |
| 89 |
3564 |
Seasonal Sales Analysis |
🟡 Medium |
| 90 |
3570 |
Find Books with No Available Copies |
🟢 Easy |
| 91 |
3580 |
Find Consistently Improving Employees |
🟡 Medium |
| 92 |
3586 |
Find COVID Recovery Patients |
🟡 Medium |
| 93 |
3601 |
Find Drivers with Improved Fuel Efficiency |
🟡 Medium |
| 94 |
3611 |
Find Overbooked Employees |
🟡 Medium |
| 95 |
3617 |
Find Students with Study Spiral Pattern |
🔴 Hard |
| 96 |
3626 |
Find Stores with Inventory Imbalance |
🟡 Medium |
| 97 |
3642 |
Find Books with Polarized Opinions |
🟡 Medium |
| 98 |
3657 |
Find Loyal Customers |
🟡 Medium |
| 99 |
3673 |
Find Zombie Sessions |
🔴 Hard |
| 100 |
3705 |
Find Golden Hour Customers |
🟡 Medium |
| 101 |
3716 |
Find Churn Risk Customers |
🟡 Medium |
| 102 |
3764 |
Most Common Course Pairs |
🔴 Hard |
| 103 |
3793 |
Find Users with High Token Usage |
🟢 Easy |
| 104 |
3808 |
Find Emotionally Consistent Users |
🟡 Medium |
| 105 |
3832 |
Find Users with Persistent Behavior Patterns |
🔴 Hard |