Note 29.2.3.
Don’t worry about memorizing all of the columns, you can check back here as needed.
Section 29.2 Tables of Records
Say you are conducting research about bike sharing for an internship in Washington D.C. You are given the Capital Bike Sharing dataset, which contains information on Washington D.C.’s bike share program for 2011. The database has hundreds of thousands of records about every ride that anyone took and you would like to look for patterns in the data to understand questions like: “How long is the average ride?” and “Where is the most popular place to start a ride?”
In a database, the data is arranged in tables like the one shown below. This
trip_data table has all of the information about individual trips that were made. Each row in a table is a record - here, each record is an individual trip someone made.
The columns are the pieces of data associated with each record. Here is a description of the columns available in the
trip_data:| Column Name | Description |
|---|---|
| index | A unique number that identifies the trip |
| duration | The time in seconds of the trip |
| start_date | Date and time the bike was checked out |
| end_date | Date and time the bike was returned |
| start_station | Station number the bike was checked out at |
| end_station | Station number the bike was returned at |
| bike_number | Which bike was used |
| member_type | Type of user - Casual (one time), or Member |
It has these columns:
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