Baselight

Bike Sharing System - Washington DC

predict the total count of bikes rented during each hour

@kaggle.itssuru_bike_sharing_system_washington_dc

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About this Dataset

Bike Sharing System - Washington DC

About the data and what to do...

Bike sharing systems are a new generation of traditional bike rentals where the whole process from membership, rental and return back has become automatic. Through these systems, user is able to easily rent a bike from a particular position and return back to another position. Bike-sharing system are meant to rent the bicycle and return to the different place for the bike sharing purpose in Washington DC.

You are provided with rental data spanning for 2 years. You must predict the total count of bikes rented during each hour covered by the test set, using only information available prior to the rental period.

Tables

Test Bikes

@kaggle.itssuru_bike_sharing_system_washington_dc.test_bikes
  • 87.02 kB
  • 6,493 rows
  • 9 columns
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CREATE TABLE test_bikes (
  "datetime" TIMESTAMP,
  "season" BIGINT,
  "holiday" BIGINT,
  "workingday" BIGINT,
  "weather" BIGINT,
  "temp" DOUBLE,
  "atemp" DOUBLE,
  "humidity" BIGINT,
  "windspeed" DOUBLE
);

Train Bikes

@kaggle.itssuru_bike_sharing_system_washington_dc.train_bikes
  • 189.37 kB
  • 10,886 rows
  • 12 columns
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CREATE TABLE train_bikes (
  "datetime" TIMESTAMP,
  "season" BIGINT,
  "holiday" BIGINT,
  "workingday" BIGINT,
  "weather" BIGINT,
  "temp" DOUBLE,
  "atemp" DOUBLE,
  "humidity" BIGINT,
  "windspeed" DOUBLE,
  "casual" BIGINT,
  "registered" BIGINT,
  "count" BIGINT
);

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