Who are your customers?

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Sara Billen

Curriculum Manager, Data Camp

Investigating "Who"

Person riding though town on a Divvy bike

Divvy dataset: trips table

Trips taken between Jan - June, 2019
trip id: ID attached to each trip
bikeid: ID attached to each bike
tripduration: time of trip in seconds
starttime: day and time trip started (CST)
endtime:day and time trip ended (CST)
from station id: station ID of trip start
from_station_name: station name of start
to station id: station ID of trip end

Icon of a map showing a path from one point to another

to station name: station name of end
usertype: customer or subscriber
birthyear: birth year of rider
gender: gender of rider

Divvy dataset: trips table

Icon of a map showing a path from one point to another

$$

usertype: subscriber or customer
birthyear: birth year of rider
gender: gender of rider

User types

Subscribers

Commuters
Share personal information
gender and birthyear

Customers

Tourists
Don't share personal information
null values

$$

Note: Subscribers can cancel their subscription and become customers. In that case, the Gender and Birthyear information will be kept.

Missing values

Known reason behind the missing information
Retitle those labels
Increase the available insights from the data

Puzzle with one missing piece

Example

$$

Usertype	Gender	Birthyear
Subscriber	Female	1993
Subscriber	Male	1964
Customer	Null	Null
Customer	Female	1987

$$

Usertype	Gender	Birthyear
Subscriber	Female	1993
Subscriber	Male	1964
Customer	Day Pass Riders	Day Pass Riders
Customer	Female	1987

Let's practice!

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