联系方式

  • QQ:99515681
  • 邮箱:99515681@qq.com
  • 工作时间:8:00-21:00
  • 微信:codinghelp

您当前位置:首页 >> Python编程Python编程

日期:2018-11-23 10:49

Lyft Analytics Assignment

Thanks for taking the time to complete the Lyft Analytics assignment!

You’ll find three CSV files attached with the following data:

data/driver_ids.csv

driver_id Unique identifier for a driver

driver_onboard_date Date on which driver was on-boarded

data/ride_ids.csv

driver_id Unique identifier for a driver

ride_id Unique identifier for a ride that was completed by the driver

ride_distance Ride distance in meters

ride_duration Ride durations in seconds

ride_prime_time PrimeTime applied on the ride

data/ride_timestamps.csv

ride_id Unique identifier for a ride

event event describes the type of event (see below)

timestamp Time of event

After exploring and analyzing the data, please:

1) Recommend a Driver’s Lifetime Value (i.e. the value a driver to Lyft over the entire

projected lifetime of a driver)

2) Prepare and submit a 15 minute presentation for a cross-functional panel

3) When submitting your assignment please include all of your working materials

4) Keep in mind that we will be assessing the HW based on its technical soundness and

depth, business applications and insights, and structure and organization

Questions to consider include:

● What are the main factors that affect a driver’s lifetime value?

● What is the average projected lifetime of a driver? That is, once a driver is onboarded,

how long does he/she typically continue driving with Lyft.

● Explore how drivers churn once they start driving with Lyft. Are there any predictive

indicators for driver churn?

● Do all drivers act alike? Are there specific segments of drivers that generate more value

for Lyft than the average driver?

● What relevant business uses does this metric have?

Here’s an overview of the event types:

requested_at passenger requested a ride

accepted_at driver accepted a passenger request

arrived_at driver arrived at pickup point

picked_up_at driver picked up the passenger

dropped_off_at driver dropped off a passenger at destination

You can make the following assumptions about the Lyft rate card:

Base Fare $2.00

Cost per Mile $1.15

Cost per Minute $0.22

Service Fee $1.75

Minimum Fare $5.00

Maximum Fare $400.00


版权所有:编程辅导网 2021 All Rights Reserved 联系方式:QQ:99515681 微信:codinghelp 电子信箱:99515681@qq.com
免责声明:本站部分内容从网络整理而来,只供参考!如有版权问题可联系本站删除。 站长地图

python代写
微信客服:codinghelp