ev_charging: Electric vehicle charging sessions for a workplace charging...

In moderndive: Tidyverse-Friendly Introductory Linear Regression

Electric vehicle charging sessions for a workplace charging program

Description

This dataset consists of information on 3,395 electric vehicle charging sessions across locations for a workplace charging program. The data contains information on multiple charging sessions from 85 electric vehicle drivers across 25 workplace locations, which are located at facilities of various types.

Usage

ev_charging

Format

A data frame of 3,395 rows on 24 variables, where each row is an electric vehicle charging session.

session_id

Unique identifier specifying the electric vehicle charging session

kwh_total

Total energy used at the charging session, in kilowatt hours (kWh)

dollars

Quantity of money paid for the charging session in U.S. dollars

created

Date and time recorded at the beginning of the charging session

ended

Date and time recorded at the end of the charging session

start_time

Hour of the day when the charging session began (1 through 24)

end_time

Hour of the day when the charging session ended (1 through 24)

charge_time_hrs

Length of the charging session in hours

weekday

First three characters of the name of the weekday when the charging session occurred

platform

Digital platform the driver used to record the session (android, ios, web)

distance

Distance from the charging location to the driver's home, expressed in miles NA if the driver did not report their address

user_id

Unique identifier for each driver

station_id

Unique identifier for each charging station

location_id

Unique identifier for each location owned by the company where charging stations were located

manager_vehicle

Binary variable that is 1 when the vehicle is a type commonly used by managers of the firm and 0 otherwise

facility_type

Categorical variable that represents the facility type:

• 1 = manufacturing

• 2 = office

• 3 = research and development

• 4 = other

mon, tues, wed, thurs, fri, sat, sun

Binary variables; 1 if the charging session took place on that day, 0 otherwise

reported_zip

Binary variable; 1 if the driver did report their zip code, 0 if they did not

Source

Harvard Dataverse \Sexpr[results=rd]{tools:::Rd_expr_doi("10.7910/DVN/NFPQLW")}. Note data is released under a CC0: Public Domain license.

moderndive documentation built on Sept. 11, 2024, 9:26 p.m.