Pres_election#

County level results for presidential elections in the USA from 2000-2016.

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Initialization#

library(fosdata)
data <- fosdata::pres_election

Accessing fields#

data <- fosdata::pres_election
county <- data$county # 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.
scatterplot

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::pres_election dataset containing the following fields:

fields[9]{name,type,values}:
  year,integer,n/a
  state,character,n/a
  state_po,character,n/a
  county,character,n/a
  FIPS,integer,n/a
  candidate,character,n/a
  party,character,[democrat,republican,green]
  candidatevotes,integer,n/a
  totalvotes,integer,n/a

Fields#

Name Description Type Min Max Values
year Year of election. integer 2000 2016 -
state State of results. character - - -
state_po State postal abbreviation. character - - -
county County within state. character - - -
FIPS FIPS code for the county. Useful due to non-standard abbreviations of counties. integer 1001 56045 -
candidate Name of candidate. character - - -
party Political party of the candidate. character - - democrat, republican, green
candidatevotes Votes that candidate received in the county. integer - 2464364 -
totalvotes Total votes cast in the county. integer - 3434308 -

Source#

MIT Election Data and Science Lab, 2018, “County Presidential Election Returns 2000-2016”, https://doi.org/10.7910/DVN/VOQCHQ, Harvard Dataverse, V6, UNF:6:ZZe1xuZ5H2l4NUiSRcRf8Q== [fileUNF]