Ecars#

This dataset contains information from 3,395 high resolution electric vehicle charging sessions The data contains sessions from 85 EV drivers with repeat usage at 105 stations across 25 sites at a workplace charging program. The workplace locations include facilities such as research and innovation centers, manufacturing, testing facilities and office headquarters for a firm participating in the U.S. Department of Energy (DOE) workplace charging challenge.

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Initialization#

library(fosdata)
data <- fosdata::ecars

Accessing fields#

data <- fosdata::ecars
reportedZip <- data$reportedZip # Just a random field in the dataset

Interactive R Sample#

You can use the R editor below to interactively explore the dataset and generate plots. This contains a fully self-contained R environment with fosdata, ggplot2, and dplyr loaded.

webR + fosdata Test

Console

Plot

No plot generated yet.

LLM instructions#

If using an LLM, you can copy-paste the following instructions to accompany your prompt to inform the model of the fields and their types in the dataset.

LLM Instructions

The fosdata::ecars dataset containing the following fields:

fields[17]{name,type,values}:
  sessionId,integer,n/a
  kwhTotal,numeric,n/a
  dollars,numeric,n/a
  created,character,n/a
  ended,character,n/a
  startTime,integer,n/a
  endTime,integer,n/a
  chargeTimeHrs,numeric,n/a
  weekday,character,n/a
  platform,character,[android,ios,web]
  distance,numeric,n/a
  userId,integer,n/a
  stationId,integer,n/a
  locationId,integer,n/a
  managerVehicle,integer,n/a
  facilityType,factor,[R & D,Other,Office,Manufacturing]
  reportedZip,integer,n/a

Fields#

Name	Description	Type	Min	Max	Values
`sessionId`	a random number used to identify a specific electric vehcile (EV) charging session	integer	1004821	9998981	-
`kwhTotal`	the total energy use of a given EV charging session, measured in kWh	numeric	-	23.68	-
`dollars`	the amount paid by the user for a given charging session, measured in U.S. dollars	numeric	-	7.5	-
`created`	the date and time a given session was initiated, expressed in the form “YYYY-MM-DD HOUR:MIN:SEC”	character	-	-	-
`ended`	the date and time a given session was terminated	character	-	-	-
`startTime`	the hour of day, from 1 to 24, during which the session was initiated	integer	-	23	-
`endTime`	the hour of day, from 1 to 24, during which the session was terminated	integer	-	23	-
`chargeTimeHrs`	undefined	numeric	0.0125	55.2381	-
`weekday`	three letter abbreviation of the day of the week on which the charging session took place	character	-	-	-
`platform`	the digital platform used by the EV driver to log the session. one of android, ios, or web.	character	-	-	`android`, `ios`, `web`
`distance`	the distance from a user’s home to the charging location, expressed in miles except where user did not report address	numeric	0.8569	43.0593	-
`userId`	a random number used to uniquely identify a given user and his or her transactions	integer	10427670	98345808	-
`stationId`	a random number unique to each specific charging station	integer	129465	995505	-
`locationId`	a random number unique to a specific location owned by the firm, where chargers were installed	integer	125372	978130	-
`managerVehicle`	a binary variable; 1 if the vehicle logging the transcation is of the type largely used by firm managers, 0 otherwise	integer	-	1	-
`facilityType`	a categorical variable indicating the type of facility a station is installed at; manufacturing = 1, office = 2, research and development = 3, other = 4	factor	-	-	`R & D`, `Other`, `Office`, `Manufacturing`
`reportedZip`	binary variable for if a user reported his or her zip code; 1 if zip code was reported, 0 otherwise’	integer	-	1	-

Source#

Asensio, Omar Isaac; Apablaza, Camila Z; Lawson, M. Cade; Walsh, Sarah Elizabeth, 2020, “Replication Data for: A Field Experiment on Workplace Norms and Electric Vehicle Charging Etiquette” https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/NFPQLW