Baselight

1992 U.S Presidential Election

Can you predict which candidate won each U.S county?

@kaggle.jwt0024_1992_us_presidential_election

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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
  • 93.64 KB
  • 2413 rows
  • 12 columns
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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
  • 31.35 KB
  • 483 rows
  • 12 columns
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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
  • 79.04 KB
  • 1930 rows
  • 12 columns
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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
);

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