Name: Cancer Regression
Creator: Kaggle
License: https://opensource.org/licenses/MIT

About this Dataset

Cancer Regression

The dataset contains 2 .csv files

This file contains various demographic and health-related data for different regions. Here's a brief description of each column:

File 1st

avganncount: Average number of cancer cases diagnosed annually.

avgdeathsperyear: Average number of deaths due to cancer per year.

target_deathrate: Target death rate due to cancer.

incidencerate: Incidence rate of cancer.

medincome: Median income in the region.

popest2015: Estimated population in 2015.

povertypercent: Percentage of population below the poverty line.

studypercap: Per capita number of cancer-related clinical trials conducted.

binnedinc: Binned median income.

medianage: Median age in the region.

pctprivatecoveragealone: Percentage of population covered by private health insurance alone.

pctempprivcoverage: Percentage of population covered by employee-provided private health insurance.

pctpubliccoverage: Percentage of population covered by public health insurance.

pctpubliccoveragealone: Percentage of population covered by public health insurance only.

pctwhite: Percentage of White population.

pctblack: Percentage of Black population.

pctasian: Percentage of Asian population.

pctotherrace: Percentage of population belonging to other races.

pctmarriedhouseholds: Percentage of married households.
birthrate: Birth rate in the region.

File 2nd

This file contains demographic information about different regions, including details about household size and geographical location. Here's a description of each column:

statefips: The FIPS code representing the state.

countyfips: The FIPS code representing the county or census area within the state.

avghouseholdsize: The average household size in the region.

geography: The geographical location, typically represented as the county or census area name followed by the state name.

Each row in the file represents a specific region, providing details about household size and geographical location. This information can be used for various demographic analyses and studies.

Tables

Avg Household Size

@kaggle.varunraskar_cancer_regression.avg_household_size

48.2 kB
3,220 rows
4 columns

CREATE TABLE avg_household_size (
  "statefips" BIGINT,
  "countyfips" BIGINT,
  "avghouseholdsize" DOUBLE,
  "geography" VARCHAR
);

Cancer Reg

@kaggle.varunraskar_cancer_regression.cancer_reg

396.52 kB
3,047 rows
33 columns

CREATE TABLE cancer_reg (
  "avganncount" DOUBLE,
  "avgdeathsperyear" BIGINT,
  "target_deathrate" DOUBLE,
  "incidencerate" DOUBLE,
  "medincome" BIGINT,
  "popest2015" BIGINT,
  "povertypercent" DOUBLE,
  "studypercap" DOUBLE,
  "binnedinc" VARCHAR,
  "medianage" DOUBLE,
  "medianagemale" DOUBLE,
  "medianagefemale" DOUBLE,
  "geography" VARCHAR,
  "percentmarried" DOUBLE,
  "pctnohs18_24" DOUBLE,
  "pcths18_24" DOUBLE,
  "pctsomecol18_24" DOUBLE,
  "pctbachdeg18_24" DOUBLE,
  "pcths25_over" DOUBLE,
  "pctbachdeg25_over" DOUBLE,
  "pctemployed16_over" DOUBLE,
  "pctunemployed16_over" DOUBLE,
  "pctprivatecoverage" DOUBLE,
  "pctprivatecoveragealone" DOUBLE,
  "pctempprivcoverage" DOUBLE,
  "pctpubliccoverage" DOUBLE,
  "pctpubliccoveragealone" DOUBLE,
  "pctwhite" DOUBLE,
  "pctblack" DOUBLE,
  "pctasian" DOUBLE,
  "pctotherrace" DOUBLE,
  "pctmarriedhouseholds" DOUBLE,
  "birthrate" DOUBLE
);