Cody

Solution 1971600

Submitted on 11 Oct 2019 by Rayner Saggers
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Test Suite

Test Status Code Input and Output
1   Pass
N = 5 load(fullfile(matlabroot, 'toolbox/stats/statsdemos', 'carbig.mat')); Model = strtrim(string(Model)); cars = table(Model, MPG, Horsepower, Weight, Acceleration); save cars.mat cars assert(isequal(sort_cars(N),[35; 31; 39.1; 35.1; 31]));

N = 5 ans = 406×5 table <strong>Model</strong> <strong>MPG</strong> <strong>Horsepower</strong> <strong>Weight</strong> <strong>Acceleration</strong> <strong>______________________________________</strong> <strong>____</strong> <strong>__________</strong> <strong>______</strong> <strong>____________</strong> "datsun 1200" 35 69 1613 18 "toyota corona" 31 52 1649 16.5 "toyota starlet" 39.1 58 1755 16.9 "honda civic 1300" 35.1 60 1760 16.1 "toyota corolla 1200" 31 65 1773 19 "honda civic cvcc" 33 53 1795 17.5 "honda civic" 33 53 1795 17.4 "ford fiesta" 36.1 66 1800 14.4 "honda civic cvcc" 36.1 60 1800 16.4 "volkswagen rabbit" 29.5 71 1825 12.2 "renault 5 gtl" 36 58 1825 18.6 "volkswagen model 111" 27 60 1834 19 "volkswagen 1131 deluxe sedan" 26 46 1835 20.5 "renault lecar deluxe" 40.9 NaN 1835 17.3 "toyota corolla 1200" 32 65 1836 21 "volkswagen rabbit" 29.8 62 1845 15.3 "honda civic 1500 gl" 44.6 67 1850 13.8 "fiat 128" 29 49 1867 19.5 "plymouth champ" 39 64 1875 16.4 "dodge colt hatchback custom" 35.7 80 1915 14.4 "volkswagen rabbit custom" 31.9 71 1925 14 "volkswagen rabbit" 29 70 1937 14 "volkswagen rabbit" 29 70 1937 14.2 "volkswagen rabbit custom" 29 78 1940 14.5 "datsun f-10 hatchback" 33.5 70 1945 16.8 "volkswagen super beetle" 26 46 1950 21 "datsun b210" 31 67 1950 19 "plymouth cricket" 26 70 1955 20.5 "volkswagen dasher" 26 67 1963 15.5 "honda civic" 38 67 1965 15 "honda civic (auto)" 32 67 1965 15.7 "toyota corolla tercel" 38.1 60 1968 18.8 "mazda glc custom" 31 68 1970 17.6 "mazda glc deluxe" 34.1 65 1975 15.2 "datsun 210 mpg" 37 65 1975 19.4 "volkswagen super beetle 117" NaN 48 1978 20 "volkswagen rabbit l" 36 74 1980 15.3 "subaru dl" 30 67 1985 16.4 "volkswagen rabbit custom diesel" 43.1 48 1985 21.5 "mazda glc deluxe" 32.8 52 1985 19.4 "mazda glc 4" 34.1 68 1985 16 "datsun b-210" 32 70 1990 17 "volkswagen scirocco" 31.5 71 1990 14.9 "datsun 310 gx" 38 67 1995 16.2 "fiat x1.9" 31 67 2000 16 "datsun 710" 32 61 2003 19 "datsun 310" 37.2 65 2019 16.4 "datsun 210" 31.8 65 2020 19.2 "mazda glc custom l" 37 68 2025 18.2 "chevrolet chevette" 29 52 2035 22.2 "honda accord cvcc" 31.5 68 2045 18.5 "ford escort 4w" 34.4 65 2045 16.2 "ford pinto" 25 NaN 2046 19 "toyota tercel" 37.7 62 2050 17.3 "chevrolet chevette" 30.5 63 2051 17 "fiat 124b" 30 76 2065 14.5 "subaru" 32.3 67 2065 17.8 "datsun b210 gx" 39.4 70 2070 18.6 "peugeot 304" 30 70 2074 19.5 "dodge colt m/m" 33.5 83 2075 15.9 "volkswagen rabbit c (diesel)" 44.3 48 2085 21.7 "toyota corolla 1600 (sw)" 27 88 2100 16.5 "fiat 128" 24 75 2108 15.5 "mazda glc" 46.6 65 2110 17.9 "datsun 210" 40.8 65 2110 19.2 "chevrolet chevette" 32.1 70 2120 15.5 "opel 1900" 28 90 2123 14 "mazda rx3" 18 90 2124 13.5 "dodge colt" 28 75 2125 14.5 "plymouth horizon miser" 38 63 2125 14.7 "mercury lynx l" 36 70 2125 17.3 "dodge colt hardtop" 25 80 2126 17 "datsun pl510" 27 88 2130 14.5 "datsun pl510" 27 88 2130 14.5 "fiat strada custom" 37.3 69 2130 14.7 "volkswagen pickup" 44 52 2130 24.6 "honda accord lx" 29.5 68 2135 16.6 "volkswagen rabbit" 41.5 76 2144 14.7 "subaru dl" 33.8 67 2145 18 "plymouth horizon tc3" 34.5 70 2150 14.9 "toyota corolla" 28 75 2155 16.4 "buick opel isuzu deluxe" 30 80 2155 14.8 "chevrolet chevette" 30 68 2155 16.5 "opel manta" 24 75 2158 15.5 "nissan stanza xe" 36 88 2160 14.5 "dodge colt (sw)" 28 80 2164 15 "chevrolet woody" 24.5 60 2164 22.1 "toyota corolla" 29 75 2171 16 "audi 4000" 34.3 78 2188 15.8 "renault 12 (sw)" 26 69 2189 18 "volkswagen dasher" 30.5 78 2190 14.1 "volkswagen jetta" 33 74 2190 14.2 "plymouth horizon" 34.2 70 2200 13.2 "renault 12tl" 27 83 2202 15.3 "honda accord" 36 75 2205 14.5 "honda prelude" 33.7 75 2210 14.4 "plymouth horizon 4" 34.7 63 2215 14.9 "audi fox" 29 83 2219 16.5 "mercury capri 2000" 23 86 2220 14 "opel 1900" 25 81 2220 16.9 "volkswagen dasher" 25 71 2223 16.5 "ford pinto runabout" 21 86 2226 16.5 "toyota corona" 25 95 2228 14 "dodge omni" 30.9 75 2230 14.5 "bmw 2002" 26 113 2234 12.5 "toyota corolla" 34 ...

2   Pass
N = 6 load(fullfile(matlabroot, 'toolbox/stats/statsdemos', 'carsmall.mat')); Model = strtrim(string(Model)); cars = table(Model, MPG, Horsepower, Weight, Acceleration); save cars.mat cars assert(isequal(sort_cars(N),[33; 29.5; 26; 29; 38; 32]));

N = 6 ans = 100×5 table <strong>Model</strong> <strong>MPG</strong> <strong>Horsepower</strong> <strong>Weight</strong> <strong>Acceleration</strong> <strong>___________________________________</strong> <strong>____</strong> <strong>__________</strong> <strong>______</strong> <strong>____________</strong> "honda civic" 33 53 1795 17.4 "volkswagen rabbit" 29.5 71 1825 12.2 "volkswagen 1131 deluxe sedan" 26 46 1835 20.5 "volkswagen rabbit" 29 70 1937 14.2 "honda civic" 38 67 1965 15 "honda civic (auto)" 32 67 1965 15.7 "mazda glc custom" 31 68 1970 17.6 "volkswagen rabbit l" 36 74 1980 15.3 "datsun b-210" 32 70 1990 17 "datsun 310 gx" 38 67 1995 16.2 "mazda glc custom l" 37 68 2025 18.2 "chevrolet chevette" 29 52 2035 22.2 "plymouth horizon miser" 38 63 2125 14.7 "mercury lynx l" 36 70 2125 17.3 "datsun pl510" 27 88 2130 14.5 "volkswagen pickup" 44 52 2130 24.6 "toyota corolla" 28 75 2155 16.4 "nissan stanza xe" 36 88 2160 14.5 "chevrolet woody" 24.5 60 2164 22.1 "renault 12tl" 27 83 2202 15.3 "honda accord" 36 75 2205 14.5 "opel 1900" 25 81 2220 16.9 "bmw 2002" 26 113 2234 12.5 "toyota corolla" 34 70 2245 16.9 "dodge colt" 26 79 2255 17.7 "dodge rampage" 32 84 2295 11.6 "dodge charger 2.2" 36 84 2370 13 "toyota corona mark ii" 24 95 2372 15 "saab 99e" 25 95 2375 17.5 "chevrolet cavalier 2-door" 34 88 2395 18 "audi 100 ls" 24 90 2430 14.5 "fiat 131" 28 86 2464 15.5 "dodge aries se" 29 84 2525 16 "ford pinto" 26.5 72 2565 13.6 "ford capri ii" 25 92 2572 14.9 "pontiac j2000 se hatchback" 31 85 2575 16.2 "chrysler lebaron medallion" 26 92 2585 14.5 "ford maverick" 21 85 2587 16 "chevrolet cavalier" 28 88 2605 19.6 "ford ranger" 28 79 2625 18.6 "chevrolet cavalier wagon" 27 88 2640 18.6 "amc gremlin" 21 90 2648 15 "toyota celica gt" 32 96 2665 13.9 "peugeot 504" 25 87 2672 17.5 "chevrolet s-10" 31 82 2720 19.4 "pontiac phoenix" 27 90 2735 18 "amc hornet" 18 97 2774 15.5 "ford mustang gl" 27 86 2790 15.6 "plymouth duster" 22 95 2833 15.5 "ford granada l" 22 112 2835 14.7 "ford fairmont futura" 24 92 2865 16.4 "toyota mark ii" 19 108 2930 15.5 "buick century limited" 25 110 2945 16.4 "chevrolet camaro" 27 90 2950 17.3 "ford maverick" 24 81 3012 17.6 "oldsmobile cutlass ciera (diesel)" 38 85 3015 17 "amc concord dl" 23 NaN 3035 20.5 "amc hornet" 22.5 90 3085 17.6 "buick estate wagon (sw)" 14 225 3086 10 "citroen ds-21 pallas" NaN 115 3090 17.5 "volvo 245" 20 102 3150 15.7 "amc pacer d/l" 17.5 95 3193 17.8 "plymouth valiant" 22 100 3233 15.4 "peugeot 504" 19 88 3270 21.9 "ford mustang boss 302" NaN 140 3353 8 "chevrolet nova" 22 105 3353 14.5 "amc rebel sst" 16 150 3433 12 "plymouth satellite" 18 150 3436 11 "ford torino" 17 140 3449 10.5 "chevrolet chevelle malibu" 18 130 3504 12 "dodge challenger se" 15 170 3563 10 "ford granada ghia" 18 78 3574 21 "plymouth 'cuda 340" 14 160 3609 8 "pontiac ventura sj" 18.5 110 3645 16.2 "dodge aspen se" 20 100 3651 17.7 "buick skylark 320" 15 165 3693 11.5 "dodge d100" 13 150 3755 14 "chevrolet monte carlo" 15 150 3761 9.5 "mercedes-benz 280s" 16.5 120 3820 16.7 "amc ambassador dpl" 15 190 3850 8.5 "amc rebel sst (sw)" NaN 175 3850 11 "ford f108" 13 130 3870 15 "plymouth volare premier v8" 13 150 3940 13.2 "amc matador" 15.5 120 3962 13.9 "ford torino (sw)" NaN 153 4034 11 "chevrolet c10" 13 145 4055 12 "chevrolet chevelle concours (sw)" NaN 165 4142 11.5 "plymouth satellite (sw)" NaN 175 4166 10.5 "dodge coronet brougham" 16 150 4190 13 "chevrolet chevelle malibu classic" 17.5 140 4215 13 "ford gran torino" 14.5 152 4215 12.8 "plymouth fury iii" 14 215 4312 8.5 "ford galaxie 500" 15 198 4341 10 "chevrolet impala" 14 220 4354 9 "chevrolet c20" 10 200 4376 15 "cadillac seville" 16.5 180 4380 12.1 "dodge d200" 11 210 4382 13.5 "pontiac catalina" 14 225 4425 10 "ford f250" 10 215 4615 14 "ih 1200d" 9 193 4732 18.5 ans = 33.0000 29.5000 26.0000 29.0000 38.0000 32.0000

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