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:
instant: record index
dteday: date
season: season (1: springer, 2: summer, 3: fall, 4: winter)
yr: year (0: 2011, 1:2012)
mnth: month (1 to 12)
hr: hour (0 to 23)
holiday: whether day is holiday or not
weekday: day of the week
workingday: if day is neither weekend nor holiday is 1, otherwise is 0.
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
temp: Normalized temperature in Celsius.
atemp: Normalized feeling temperature in Celsius.
hum: Normalized humidity. The values are divided to 100 (max)
windspeed: Normalized wind speed. The values are divided to 67 (max)
casual: count of casual users
registered: count of registered users
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.
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