Niuke SQL Big Factory Interview Questions Catalog

1. A short video

SQL156 average completion rate of each video

SQL157 video categories whose average playback progress is greater than 60%

SQL158 Repost volume/rate of each type of video in one month

SQL159 The monthly follower growth rate of each creator and the current total follower count

Number of likes and reposts of each type of video during the SQL160 National Day

The top3 videos with the highest popularity among the videos released by SQL161 in the past month

2. User growth scenario (a certain degree of information flow)

SQL162 Per capita reading time of articles per day in November 2021

SQL163 The maximum number of people watching each article at the same time

SQL164 Next-day retention rate of new users per day in November 2021

SQL165 counts the active interval to classify the results of users

The number of daily active users and the proportion of new users per day in SQL166

SQL167 Sign in consecutively to receive gold coins

3. E-commerce scene (some east mall)

SQL168 calculates the monthly GMV in 2021 in the mall

SQL169 Statistical indicators of each product with a return rate of less than 0.5 in October 2021

SQL170 Gross profit rate of each product of a store and the overall gross profit rate of the store

SQL171 Top 3 products with the highest repurchase rate among snack products

SQL172 New customer unit price and customer acquisition cost in October

SQL173 The sales rate and slow sales rate in July during the 901 National Day of the store

4. Travel scenarios (Xidi takes a taxi)

SQL174 Statistical information of drivers who received 3 or more orders in Beijing during the National Day of 2021

SQL175 average rating of drivers with canceled orders

SQL176 Top rated driver information in each city

SQL177 Average number of canceled orders in the past 7 days during the National Day period

SQL178 Number of car calls, waiting time for orders and adjustment time in each time period of the working day

SQL179 The maximum number of people waiting for a bus in each city at the same time

5. Analysis of a treasure store (e-commerce model)

SQL180 The number of SPUs in a treasure store

SQL181 Actual sales and customer unit price of a treasure store

SQL182 Discount rate of a treasure store

SQL183 Dynamic sales rate and sell-out rate of a treasure store

SQL184 Users who shop for 2 or more consecutive days in a treasure store and their corresponding days

6. Analysis of Niuke Live Classes (online education industry)

SQL185 Niuke Live Conversion Rate

SQL186 Number of people online in each live room when Niuke live broadcast starts

SQL187 Niuke live broadcast average viewing time of each subject

SQL188 Niuke live broadcast attendance rate of each subject

SQL189 Niuke Live Online Number of Subjects Simultaneously

7. Mouhu Q&A (content industry)

SQL190 Q&A per capita in November

SQL191 The number of users belonging to each level in the high-quality answers of a question and answer

SQL192 All users who answer more than 3 questions in a single day

SQL193 How many users among the users who have answered education-related questions in a certain household have answered workplace-related questions

SQL194 Q&A users whose maximum consecutive days of answering questions for a certain household are greater than or equal to 3 and their corresponding levels

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Origin blog.csdn.net/qq118640594X/article/details/127103811