22
33// The car dealer has all of their inventory housed in the array seen below. Scroll down past the data to find out how you can help the car dealer.
44
5- let inventory = [ { "id" :1 , "car_make" :"Lincoln" , "car_model" :"Navigator" , "car_year" :2009 } ,
6- { "id" :2 , "car_make" :"Mazda" , "car_model" :"Miata MX-5" , "car_year" :2001 } ,
7- { "id" :3 , "car_make" :"Land Rover" , "car_model" :"Defender Ice Edition" , "car_year" :2010 } ,
8- { "id" :4 , "car_make" :"Honda" , "car_model" :"Accord" , "car_year" :1983 } ,
9- { "id" :5 , "car_make" :"Mitsubishi" , "car_model" :"Galant" , "car_year" :1990 } ,
10- { "id" :6 , "car_make" :"Honda" , "car_model" :"Accord" , "car_year" :1995 } ,
11- { "id" :7 , "car_make" :"Smart" , "car_model" :"Fortwo" , "car_year" :2009 } ,
12- { "id" :8 , "car_make" :"Audi" , "car_model" :"4000CS Quattro" , "car_year" :1987 } ,
13- { "id" :9 , "car_make" :"Ford" , "car_model" :"Windstar" , "car_year" :1996 } ,
14- { "id" :10 , "car_make" :"Mercedes-Benz" , "car_model" :"E-Class" , "car_year" :2000 } ,
15- { "id" :11 , "car_make" :"Infiniti" , "car_model" :"G35" , "car_year" :2004 } ,
16- { "id" :12 , "car_make" :"Lotus" , "car_model" :"Esprit" , "car_year" :2004 } ,
17- { "id" :13 , "car_make" :"Chevrolet" , "car_model" :"Cavalier" , "car_year" :1997 } ,
18- { "id" :14 , "car_make" :"Dodge" , "car_model" :"Ram Van 1500" , "car_year" :1999 } ,
19- { "id" :15 , "car_make" :"Dodge" , "car_model" :"Intrepid" , "car_year" :2000 } ,
20- { "id" :16 , "car_make" :"Mitsubishi" , "car_model" :"Montero Sport" , "car_year" :2001 } ,
21- { "id" :17 , "car_make" :"Buick" , "car_model" :"Skylark" , "car_year" :1987 } ,
22- { "id" :18 , "car_make" :"Geo" , "car_model" :"Prizm" , "car_year" :1995 } ,
23- { "id" :19 , "car_make" :"Oldsmobile" , "car_model" :"Bravada" , "car_year" :1994 } ,
24- { "id" :20 , "car_make" :"Mazda" , "car_model" :"Familia" , "car_year" :1985 } ,
25- { "id" :21 , "car_make" :"Chevrolet" , "car_model" :"Express 1500" , "car_year" :2003 } ,
26- { "id" :22 , "car_make" :"Jeep" , "car_model" :"Wrangler" , "car_year" :1997 } ,
27- { "id" :23 , "car_make" :"Eagle" , "car_model" :"Talon" , "car_year" :1992 } ,
28- { "id" :24 , "car_make" :"Toyota" , "car_model" :"MR2" , "car_year" :2003 } ,
29- { "id" :25 , "car_make" :"BMW" , "car_model" :"525" , "car_year" :2005 } ,
30- { "id" :26 , "car_make" :"Cadillac" , "car_model" :"Escalade" , "car_year" :2005 } ,
31- { "id" :27 , "car_make" :"Infiniti" , "car_model" :"Q" , "car_year" :2000 } ,
32- { "id" :28 , "car_make" :"Suzuki" , "car_model" :"Aerio" , "car_year" :2005 } ,
33- { "id" :29 , "car_make" :"Mercury" , "car_model" :"Topaz" , "car_year" :1993 } ,
34- { "id" :30 , "car_make" :"BMW" , "car_model" :"6 Series" , "car_year" :2010 } ,
35- { "id" :31 , "car_make" :"Pontiac" , "car_model" :"GTO" , "car_year" :1964 } ,
36- { "id" :32 , "car_make" :"Dodge" , "car_model" :"Ram Van 3500" , "car_year" :1999 } ,
37- { "id" :33 , "car_make" :"Jeep" , "car_model" :"Wrangler" , "car_year" :2011 } ,
38- { "id" :34 , "car_make" :"Ford" , "car_model" :"Escort" , "car_year" :1991 } ,
39- { "id" :35 , "car_make" :"Chrysler" , "car_model" :"300M" , "car_year" :2000 } ,
40- { "id" :36 , "car_make" :"Volvo" , "car_model" :"XC70" , "car_year" :2003 } ,
41- { "id" :37 , "car_make" :"Oldsmobile" , "car_model" :"LSS" , "car_year" :1997 } ,
42- { "id" :38 , "car_make" :"Toyota" , "car_model" :"Camry" , "car_year" :1992 } ,
43- { "id" :39 , "car_make" :"Ford" , "car_model" :"Econoline E250" , "car_year" :1998 } ,
44- { "id" :40 , "car_make" :"Lotus" , "car_model" :"Evora" , "car_year" :2012 } ,
45- { "id" :41 , "car_make" :"Ford" , "car_model" :"Mustang" , "car_year" :1965 } ,
46- { "id" :42 , "car_make" :"GMC" , "car_model" :"Yukon" , "car_year" :1996 } ,
47- { "id" :43 , "car_make" :"Mercedes-Benz" , "car_model" :"R-Class" , "car_year" :2009 } ,
48- { "id" :44 , "car_make" :"Audi" , "car_model" :"Q7" , "car_year" :2012 } ,
49- { "id" :45 , "car_make" :"Audi" , "car_model" :"TT" , "car_year" :2008 } ,
50- { "id" :46 , "car_make" :"Oldsmobile" , "car_model" :"Ciera" , "car_year" :1995 } ,
51- { "id" :47 , "car_make" :"Volkswagen" , "car_model" :"Jetta" , "car_year" :2007 } ,
52- { "id" :48 , "car_make" :"Dodge" , "car_model" :"Magnum" , "car_year" :2008 } ,
53- { "id" :49 , "car_make" :"Chrysler" , "car_model" :"Sebring" , "car_year" :1996 } ,
54- { "id" :50 , "car_make" :"Lincoln" , "car_model" :"Town Car" , "car_year" :1999 } ] ;
55-
5+ let inventory = [
6+ { id : 1 , car_make : "Lincoln" , car_model : "Navigator" , car_year : 2009 } ,
7+ { id : 2 , car_make : "Mazda" , car_model : "Miata MX-5" , car_year : 2001 } ,
8+ { id : 3 , car_make : "Land Rover" , car_model : "Defender Ice Edition" , car_year : 2010 } ,
9+ { id : 4 , car_make : "Honda" , car_model : "Accord" , car_year : 1983 } ,
10+ { id : 5 , car_make : "Mitsubishi" , car_model : "Galant" , car_year : 1990 } ,
11+ { id : 6 , car_make : "Honda" , car_model : "Accord" , car_year : 1995 } ,
12+ { id : 7 , car_make : "Smart" , car_model : "Fortwo" , car_year : 2009 } ,
13+ { id : 8 , car_make : "Audi" , car_model : "4000CS Quattro" , car_year : 1987 } ,
14+ { id : 9 , car_make : "Ford" , car_model : "Windstar" , car_year : 1996 } ,
15+ { id : 10 , car_make : "Mercedes-Benz" , car_model : "E-Class" , car_year : 2000 } ,
16+ { id : 11 , car_make : "Infiniti" , car_model : "G35" , car_year : 2004 } ,
17+ { id : 12 , car_make : "Lotus" , car_model : "Esprit" , car_year : 2004 } ,
18+ { id : 13 , car_make : "Chevrolet" , car_model : "Cavalier" , car_year : 1997 } ,
19+ { id : 14 , car_make : "Dodge" , car_model : "Ram Van 1500" , car_year : 1999 } ,
20+ { id : 15 , car_make : "Dodge" , car_model : "Intrepid" , car_year : 2000 } ,
21+ { id : 16 , car_make : "Mitsubishi" , car_model : "Montero Sport" , car_year : 2001 } ,
22+ { id : 17 , car_make : "Buick" , car_model : "Skylark" , car_year : 1987 } ,
23+ { id : 18 , car_make : "Geo" , car_model : "Prizm" , car_year : 1995 } ,
24+ { id : 19 , car_make : "Oldsmobile" , car_model : "Bravada" , car_year : 1994 } ,
25+ { id : 20 , car_make : "Mazda" , car_model : "Familia" , car_year : 1985 } ,
26+ { id : 21 , car_make : "Chevrolet" , car_model : "Express 1500" , car_year : 2003 } ,
27+ { id : 22 , car_make : "Jeep" , car_model : "Wrangler" , car_year : 1997 } ,
28+ { id : 23 , car_make : "Eagle" , car_model : "Talon" , car_year : 1992 } ,
29+ { id : 24 , car_make : "Toyota" , car_model : "MR2" , car_year : 2003 } ,
30+ { id : 25 , car_make : "BMW" , car_model : "525" , car_year : 2005 } ,
31+ { id : 26 , car_make : "Cadillac" , car_model : "Escalade" , car_year : 2005 } ,
32+ { id : 27 , car_make : "Infiniti" , car_model : "Q" , car_year : 2000 } ,
33+ { id : 28 , car_make : "Suzuki" , car_model : "Aerio" , car_year : 2005 } ,
34+ { id : 29 , car_make : "Mercury" , car_model : "Topaz" , car_year : 1993 } ,
35+ { id : 30 , car_make : "BMW" , car_model : "6 Series" , car_year : 2010 } ,
36+ { id : 31 , car_make : "Pontiac" , car_model : "GTO" , car_year : 1964 } ,
37+ { id : 32 , car_make : "Dodge" , car_model : "Ram Van 3500" , car_year : 1999 } ,
38+ { id : 33 , car_make : "Jeep" , car_model : "Wrangler" , car_year : 2011 } ,
39+ { id : 34 , car_make : "Ford" , car_model : "Escort" , car_year : 1991 } ,
40+ { id : 35 , car_make : "Chrysler" , car_model : "300M" , car_year : 2000 } ,
41+ { id : 36 , car_make : "Volvo" , car_model : "XC70" , car_year : 2003 } ,
42+ { id : 37 , car_make : "Oldsmobile" , car_model : "LSS" , car_year : 1997 } ,
43+ { id : 38 , car_make : "Toyota" , car_model : "Camry" , car_year : 1992 } ,
44+ { id : 39 , car_make : "Ford" , car_model : "Econoline E250" , car_year : 1998 } ,
45+ { id : 40 , car_make : "Lotus" , car_model : "Evora" , car_year : 2012 } ,
46+ { id : 41 , car_make : "Ford" , car_model : "Mustang" , car_year : 1965 } ,
47+ { id : 42 , car_make : "GMC" , car_model : "Yukon" , car_year : 1996 } ,
48+ { id : 43 , car_make : "Mercedes-Benz" , car_model : "R-Class" , car_year : 2009 } ,
49+ { id : 44 , car_make : "Audi" , car_model : "Q7" , car_year : 2012 } ,
50+ { id : 45 , car_make : "Audi" , car_model : "TT" , car_year : 2008 } ,
51+ { id : 46 , car_make : "Oldsmobile" , car_model : "Ciera" , car_year : 1995 } ,
52+ { id : 47 , car_make : "Volkswagen" , car_model : "Jetta" , car_year : 2007 } ,
53+ { id : 48 , car_make : "Dodge" , car_model : "Magnum" , car_year : 2008 } ,
54+ { id : 49 , car_make : "Chrysler" , car_model : "Sebring" , car_year : 1996 } ,
55+ { id : 50 , car_make : "Lincoln" , car_model : "Town Car" , car_year : 1999 }
56+ ] ;
5657
5758// Example for loop:
5859
@@ -63,7 +64,7 @@ let inventory = [{"id":1,"car_make":"Lincoln","car_model":"Navigator","car_year"
6364
6465// ==== Challenge 1 ====
6566// The dealer can't recall the information for a car with an id of 33 on his lot. Help the dealer find out which car has an id of 33 by logging the car's year, make, and model in the console log provided to you below:
66- console . log ( `Car 33 is a *car year goes here* *car make goes here* *car model goes here*` ) ;
67+ console . log ( `Car 33 is a *car year goes here* *car make goes here* *car model goes here*` ) ;
6768
6869// ==== Challenge 2 ====
6970// The dealer needs the information on the last car in their inventory. What is the make and model of the last car in the inventory? Log the make and model into the console.
@@ -83,7 +84,7 @@ console.log();
8384// ==== Challenge 5 ====
8485// The car lot manager needs to find out how many cars are older than the year 2000. Using the carYears array you just created, find out how many cars were made before the year 2000 by populating the array oldCars and logging it's length.
8586let oldCars = [ ] ;
86- console . log ( ) ;
87+ console . log ( ) ;
8788
8889// ==== Challenge 6 ====
8990// A buyer is interested in seeing only BMW and Audi cars within the inventory. Return an array that only contains BMW and Audi cars. Once you have populated the BMWAndAudi array, use JSON.stringify() to show the results of the array in the console.
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