Name: 1992 U.S Presidential Election
Creator: Kaggle
License: http://opendatacommons.org/licenses/odbl/1.0/

About this Dataset

1992 U.S Presidential Election

This dataset contains county-level demographics and whether or not Bill Clinton won each county during the 1992 U.S presidential election. The goal for this dataset is to successfully predict if Bill Clinton won a county using the demographic variables.

I have not worked on this dataset in a long time but I remember it being tough - there is only one election cycle to predict from as well as just county-level demographics.

This dataset is almost perfectly balanced, therefore I believe accuracy is most appropriate for this dataset. I believe this dataset is appropriate for both beginner and expert Kagglers .

Don't forget to upvote if you enjoyed this dataset! :->)

Tables

Election Dataset

@kaggle.jwt0024_1992_us_presidential_election.election_dataset

95.89 kB
2,413 rows
12 columns

CREATE TABLE election_dataset (
  "county_name" VARCHAR,
  "median_age" DOUBLE,
  "mean_savings" BIGINT,
  "per_capita_income" BIGINT,
  "percent_in_poverty" DOUBLE,
  "percent_veterans" DOUBLE,
  "percent_female" DOUBLE,
  "population_density" DOUBLE,
  "percent_in_nursing_homes" DOUBLE,
  "crime_index_pc" BIGINT,
  "state" VARCHAR,
  "clinton_win" BOOLEAN
);

Election Testing

@kaggle.jwt0024_1992_us_presidential_election.election_testing

32.11 kB
483 rows
12 columns

CREATE TABLE election_testing (
  "county_name" VARCHAR,
  "median_age" DOUBLE,
  "mean_savings" BIGINT,
  "per_capita_income" BIGINT,
  "percent_in_poverty" DOUBLE,
  "percent_veterans" DOUBLE,
  "percent_female" DOUBLE,
  "population_density" DOUBLE,
  "percent_in_nursing_homes" DOUBLE,
  "crime_index_pc" BIGINT,
  "state" VARCHAR,
  "clinton_win" BOOLEAN
);

Election Training

@kaggle.jwt0024_1992_us_presidential_election.election_training

80.93 kB
1,930 rows
12 columns

CREATE TABLE election_training (
  "county_name" VARCHAR,
  "median_age" DOUBLE,
  "mean_savings" BIGINT,
  "per_capita_income" BIGINT,
  "percent_in_poverty" DOUBLE,
  "percent_veterans" DOUBLE,
  "percent_female" DOUBLE,
  "population_density" DOUBLE,
  "percent_in_nursing_homes" DOUBLE,
  "crime_index_pc" BIGINT,
  "state" VARCHAR,
  "clinton_win" BOOLEAN
);