Wayfair数据相关面试真题

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高频题(0)
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全部(44)
SQL(15)
Coding(9)
ML basics(3)
Stats(1)
Product Case(9)
高频题(0)
Other(7)
1.Measure the strategy of pricing
2.Decrease of conversion rate
3.MySQL Query to Match Train Departures with Passenger Arrivals
4.MySQL Query Using LEFT JOIN to Calculate Test Pass Rate and Score
5.MySQL Query to Select Condition-Satisfying IDs
6.Python Sum of Two-Digit Numbers
7.SQL Aggregation Query
8.Calculate Total Imports and Exports by Country
9.Calculate Total Import and Export Amounts by Country
10.Group By Company SQL Query
11.Python Programming for Number Printing
12.SQL Query with LEFT JOIN and IFNULL
13.Ice Cream Dataset Analysis
14.SQL Ranking Query
15.Ice Cream Dataset Insights and Recommendations
16.Shipping Time Reduction Analysis
17.SQL Window Function Application
18.Ice Cream Case Analysis
19.Python Array Rearrangement
20.SQL Question
21.AB Testing Case Analysis
22.Debugging Python Code
23.SQL Ranking by Partition
24.Coffee Maker Pricing and Policy Case
25.Logistics Pricing Analysis Case
26.Google Bid Problem Case Study
27.Linear Model for Predicting House Prices
28.Take-Home Presentation on Channel Analysis
29.Case Study on Assignment and Scheduling
30.Shipping Cost Estimation Case
31.Product Matching Case Study
32.Forecasting Monthly Sales from Daily Sales Data
33.Design an Autocomplete System
34.Calculate Total Weight of Goods on a Truck
35.SQL Query for Employee Count and Total Salary by Department
36.Sort Roman Numerals
37.Convert Date Format
38.Project Deep Dive
39.Problem Analysis and Simple Calculations
40.Data Analysis and Conclusion with Google Sheets
41.SQL Problem Solving
42.SQL and Pandas Assessment
43.Name Sorting with Roman Numerals
44.Date Format Conversion
1. Measure the strategy of pricing
关于wayfair针对coffee maker的定价做出了一个决策,让你分析决策的好坏。数据包括决
 策执行前半年和之后四个月的cost、sales、visit数据。另外还提供了coffee flter和toast ovens
 的数据,但它们是没有定价调整的,可用来做对比
2. Decrease of conversion rate
 | 关于conversion rate,问你关于一些怎么利用conversion rate 去判断新的period 哪里出
 错了导致conversion rate下降,并问解决方案
3. MySQL Query to Match Train Departures with Passenger Arrivals
Given two tables, one with train departure times and the other with passenger arrival times, write a MySQL query to find out how many passengers can catch each train, assuming passengers arriving before the train's departure can board the train. The output should include the train ID and the count of passengers.
4. MySQL Query Using LEFT JOIN to Calculate Test Pass Rate and Score
Write a MySQL query that uses LEFT JOIN on tables test_groups and test_cases to calculate the number of passed tests, the total number of tests, and the resulting score.
5. MySQL Query to Select Condition-Satisfying IDs
Write a MySQL query to select IDs from a dataset that satisfy certain conditions. The conditions include whether the car is new or old, the price, and the production year.