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Applied Programming Coding Challenge #1

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Open In Colab

title

This project covers the first of two coding challenges for FOM Berlin winter semester 2019 course Applied Programming.

Data

The data set being used in this project can be found on https://www.kaggle.com/lakshmi25npathi/bike-sharing-dataset.

Data Exploration

Attributes

  • instant Unique ID of a record
  • dteday Date, e.g. 01.01.2011
  • season Numerically encoded season, e.g. 1 (=spring)
  • yr Year after start (Jan 1 2011), e.g. 0
  • mnth Month of the year, e.g. 1 (=January)
  • holiday Indicator whether the day is a public holiday, e.g. 0 (=no)
  • weekday Numerically encoded weekday of the date, e.g. 0 (=Sunday)
  • workingday Indicator whether the day is a working day, e.g. 0 (=no)
  • weathersit Numerically encoded weather situation, e.g.
    • 1: Clear, Few clouds, Partly cloudy, Partly cloudy
    • 2: Mist + Cloudy, Mist + Broken clouds, Mist + Few clouds, Mist
    • 3: Light Snow, Light Rain + Thunderstorm + Scattered clouds, Light Rain + Scattered clouds
    • 4: Heavy Rain + Ice Pallets + Thunderstorm + Mist, Snow + Fog
  • temp Normalized temperature in Celsius
  • atemp Normalized feeling temperature in Celsius
  • hum Normalized humidity
  • windspeed Normalized wind speed
  • casual Number of rented bikes by casual users
  • registered Number of rented bikes by registered users
  • cnt Combined number of casual and registered users