Database Reference
In-Depth Information
Audi,A4,2011,gas,4,sedan,casual,6,476,22-30,45000
Jeep,Compass,2007,gas,3,suv,sport,6,170,24-32,22000
Dodge,Challenger,2013,gas,4,coupe,casual,6,210,20-30,28000
Chevrolet,Volt,2014,electric,4,sedan,casual,0,180,35-40,35000
Toyota,Prius,2013,hybrid,4,sedan,casual,4,134,51-48,32000
BMW,M3,2010,gas,2,coupe,sport,6,300,18-28,41000
BMW,X5,2005,gas,4,suv,sport,6,265,19-26,55000
Toyota,Camry,2009,gas,4,sedan,casual,6,178,25-35,26000
Toyota,Camry,2014,hybrid,4,sedan,sport,6,200,43-39,30000
Honda,Civic,2013,gas,2,coupe,sport,4,140,28-36,18000
Nissan,Leaf,2014,electric,4,sedan,casual,0,107,129-102,29000
Audi,Q7,2013,gas,4,suv,sport,6,333,16-22,60000
Audi,A7
TDI,2014,diesel,4,sedan,sport,6,240,30-25,58000
Mercedes,CLA,2013,gas,4,sedan,casual,4,208,22-28,29000
Fisker,Karma,2014,electric,2,coupe,sport,0,260,85-90,100000
Example
dataset
two
-
motorcycles
(motorcycles.txt)
Now let's take a look at another example dataset, which has a list of motorcycle
names and their properties as defined in the schema. The following is the second
text file, which includes motorcycles-specific data:
•
File
:
motorcycles.txt
•
Schema
:
make
,
model
,
year
,
fuelType
,
wheels
,
body
,
style
,
cc_rpm
,
highSpeed
,
auto
,
price
Here is the data in the
motorcycles.txt
file:
Honda,CBR600,1990,gas,2,casual,sport,599,165,false,12000
BMW,R1200RT,1990,gas,2,casual,sport,1170,135,false,20000
Honda,CB900,1995,gas,2,casual,sport,919,135,false,10000
Honda,VFR400,1998,gas,2,casual,sport,399,130,false,8000
KTM,Super
Duke,2005,gas,2,casual,sport,999,151,false,25000
