+
+
+
Bike sharing systems are new generation of traditional bike rentals where
+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 at another position. Currently, there are about
+over 500 bike-sharing programs around the world which is composed of over
+500 thousands bicycles. Today, there exists great interest in these systems
+due to their important role in traffic, environmental and health issues.
+
+
+
+
+
+
+
A data frame with 731 observations on the following 16 variables.
instant
: Record index
+dteday
: Date
+season
:
1: Spring
+2: Summer
+3: Fall
+4: Winter
+
+yr
:
+mnth
:
1: Jan
+2: Feb
+3: Mar
+4: Apr
+5: May
+6: Jun
+7: Jul
+8: Aug
+9: Sep
+10: Oct
+11: Nov
+12: Dec
+
+hr
:
0: 12 AM
+1: 1 AM
+2: 2 AM
+3: 3 AM
+4: 4 AM
+5: 5 AM
+6: 6 AM
+7: 7 AM
+8: 8 AM
+9: 9 AM
+10: 10 AM
+11: 11 AM
+12: 12 PM
+13: 1 PM
+14: 2 PM
+15: 3 PM
+16: 4 PM
+17: 5 PM
+18: 6 PM
+19: 7 PM
+20: 8 PM
+21: 9 PM
+22: 10 PM
+23: 11 PM
+
+holiday
:
+weekday
:
The day of a week
+0: Sunday
+1: Monday
+2: Tuesday
+3: Wednesday
+4: Thursday
+5: Friday
+6: Saturday
+
+workingday
:
+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.
+The values are derived via \(\frac{(t-t_{min})}{(t_{max}-t_{min})}\), t_min=-8, t_max=+39
+
+atemp
:
Normalized feeling temperature in Celsius.
+The values are derived via \(\frac{(t-t_{min})}{(t_{max}-t_{min})}\), t_min=-16, t_max=+50
+
+hum
:
+windspeed
:
+casual
:
+registered
:
+cnt
:
+
+
+
Source
+
Hadi Fanaee-T
+
Laboratory of Artificial Intelligence and Decision Support (LIAAD), University of Porto
+
INESC Porto, Campus da FEUP
+
Rua Dr. Roberto Frias, 378
+
4200 - 465 Porto, Portugal
+
+
+
Details
+
Apart from interesting real world applications of bike sharing systems, the
+characteristics of data being generated by these systems make them attractive
+for the research. Opposed to other transport services such as bus or subway,
+the duration of travel, departure and arrival position is explicitly recorded
+in these systems. This feature turns bike sharing system into a virtual
+sensor network that can be used for sensing mobility in the city. Hence, it
+is expected that most of important events in the city could be detected via
+monitoring these data.
+
+
+
+