For this discussion, you will apply those guidelines to a data set containing attributes pertaining to the hourly usage records of a bike sharing system. The attributes for the data set are as...

For this discussion, you will apply those guidelines to a data set containing attributes pertaining to the hourly usage records of a bike sharing system.

The attributes for the data set are as follows:

1. 
   Calendar date(dd/mm/yyyy)


2. 
   Season(1 = Spring; 2 = Summer; 3 = Autumn; 4 = Winter)


3. 
   Hour(0 – 23: indicates the hour of the day)


4. 
   Day of the week(Mon, Tue, Wed, Thu, Fri, Sat, Sun)


5. 
   Weather: (1 = Good; 2 =Mist or Fog; 3 = Light Precipitation (could be rain or snow); 4 = Heavy Precipitation (Rain, Snow, Ice Pellets)


6. 
   Temperaturein degrees Celsius


7. 
   Humidity Level(0 – 100%)


8. 
   Windspeedin KM/Hr


9. 
   Number of casual usersrecorded as making use of the system during that hour/day


10. 
    Number of registered usersrecorded as making use of the system during that hour/day

Assume the bike sharing company has asked you to perform some exploratory data analysis for them. They are interested in learning more about the usage patterns of the system’s users, e.g., does the weather affect system usage? Does usage of the system vary depending on the day of the week or the season? etc. For each of attributes
2 through 10
, briefly explain what type of plot(s) you would recommend for theirEDAand explain why you believe the plot(s) you’ve chosen will be the most appropriate for understanding each particular variable.

Then check your classmates’ responses: Do you agree with their recommendations?