Name: Water Pollution In EU Countries
Creator: Kaggle
License: http://opendatacommons.org/licenses/dbcl/1.0/

About this Dataset

Water Pollution In EU Countries

Files
Train.csv - Data training set
Target.csv - target values for a training set
Test.csv - Test data set
SubMission.csv - an example of a file for downloading a solution

Columns
'Code' is a unique code of the controlled determinant determined in the list of codes,
'year' - the year during which the data was selected,
'Period' is the period of the year during which the data was selected,
'ID' is a unique international identifier of the water body in which the data was obtained,
'Country' - information about the country created using coordinates,
'Tourists' - the average number of tourists in the country from 1990 to 2020,
'Venue' - the number of enterprises next to the indicated coordinates,
'Rate' - literacy level in the country from 2010 to 2018,
'Food' - share of food waste,
'Glass' - share of glass waste,
'Metal' is a share of metal waste,
'Other' - share of other waste,
'Paper' is a share of paper waste,
'plastic' is a share of plastic waste,
'leather' - share of leather waste,
'green_waste' - share of green waste,
'Waste_Recycling' - share of processed garbage.

Tables

Submission

@kaggle.hydramst_water_pollution.submission

6.14 kB
732 rows
2 columns

CREATE TABLE submission (
  "idx" BIGINT,
  "polution_clf" BIGINT
);

Target

@kaggle.hydramst_water_pollution.target

18.88 kB
2,928 rows
2 columns

CREATE TABLE target (
  "unnamed_0" BIGINT  -- Unnamed: 0,
  "polution_clf" BIGINT
);

Test

@kaggle.hydramst_water_pollution.test

28.31 kB
732 rows
18 columns

CREATE TABLE test (
  "unnamed_0" BIGINT  -- Unnamed: 0,
  "code" VARCHAR,
  "year" BIGINT,
  "period" VARCHAR,
  "id" VARCHAR,
  "country" VARCHAR,
  "tourists" DOUBLE,
  "venue" DOUBLE,
  "rate" DOUBLE,
  "food" DOUBLE,
  "glass" DOUBLE,
  "metal" DOUBLE,
  "other" DOUBLE,
  "paper" DOUBLE,
  "plastic" DOUBLE,
  "leather" DOUBLE,
  "green_waste" DOUBLE,
  "waste_recycling" DOUBLE
);

Train

@kaggle.hydramst_water_pollution.train

59.38 kB
2,928 rows
18 columns

CREATE TABLE train (
  "unnamed_0" BIGINT  -- Unnamed: 0,
  "code" VARCHAR,
  "year" BIGINT,
  "period" VARCHAR,
  "id" VARCHAR,
  "country" VARCHAR,
  "tourists" DOUBLE,
  "venue" DOUBLE,
  "rate" DOUBLE,
  "food" DOUBLE,
  "glass" DOUBLE,
  "metal" DOUBLE,
  "other" DOUBLE,
  "paper" DOUBLE,
  "plastic" DOUBLE,
  "leather" DOUBLE,
  "green_waste" DOUBLE,
  "waste_recycling" DOUBLE
);