Project - Bike Rental Forecasting

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End to End Project - Bikes Assessment - Loading the data

Loading the data

Please load the Bikes data set into 'bikesData' variable, from bikes.csv file, which is present in the below location on the web console (linux box):

(Location: /cxldata/datasets/project/bikes.csv)

The dataset contains the following parameters:

  1. instant: record index

  2. dteday: date

  3. season: season (1: springer, 2: summer, 3: fall, 4: winter)

  4. yr: year (0: 2011, 1:2012)

  5. mnth: month (1 to 12)

  6. hr: hour (0 to 23)

  7. holiday: whether day is holiday or not

  8. weekday: day of the week

  9. workingday: if day is neither weekend nor holiday is 1, otherwise is 0.

  10. weathersit:

    • 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

  11. temp: Normalized temperature in Celsius.

  12. atemp: Normalized feeling temperature in Celsius.

  13. hum: Normalized humidity. The values are divided to 100 (max)

  14. windspeed: Normalized wind speed. The values are divided to 67 (max)

  15. casual: count of casual users

  16. registered: count of registered users

  17. cnt: count of total rental bikes including both casual and registered

Task: Please complete the read statement correctly.

Hint

pd.read_csv(filepath)

Also, observe the results to answer the questions that follow.