From f98e713d3f908e7fea81061946bcaa0673bbe6d1 Mon Sep 17 00:00:00 2001 From: Joel Ostblom Date: Fri, 29 Sep 2023 12:29:56 -0700 Subject: [PATCH] Add python tutorial --- materials/python/py_tutorial_viz/.gitignore | 3 + .../python/py_tutorial_viz/data/cars.csv | 407 + .../python/py_tutorial_viz/data/fast_food.csv | 10001 ++++++++++++++++ .../python/py_tutorial_viz/data/insurance.csv | 1339 +++ .../python/py_tutorial_viz/mcdonalds.jpg | Bin 0 -> 146442 bytes .../py_tutorial_viz/py_tutorial_viz.ipynb | 1394 +++ 6 files changed, 13144 insertions(+) create mode 100644 materials/python/py_tutorial_viz/.gitignore create mode 100644 materials/python/py_tutorial_viz/data/cars.csv create mode 100644 materials/python/py_tutorial_viz/data/fast_food.csv create mode 100644 materials/python/py_tutorial_viz/data/insurance.csv create mode 100644 materials/python/py_tutorial_viz/mcdonalds.jpg create mode 100644 materials/python/py_tutorial_viz/py_tutorial_viz.ipynb diff --git a/materials/python/py_tutorial_viz/.gitignore b/materials/python/py_tutorial_viz/.gitignore new file mode 100644 index 0000000..54575ad --- /dev/null +++ b/materials/python/py_tutorial_viz/.gitignore @@ -0,0 +1,3 @@ + +**/.ipynb_checkpoints/** +**.nbgrader.log** diff --git a/materials/python/py_tutorial_viz/data/cars.csv b/materials/python/py_tutorial_viz/data/cars.csv new file mode 100644 index 0000000..d0330c6 --- /dev/null +++ b/materials/python/py_tutorial_viz/data/cars.csv @@ -0,0 +1,407 @@ +,Name,Miles_per_Gallon,Cylinders,Displacement,Horsepower,Weight_in_lbs,Acceleration,Year,Origin +0,chevrolet chevelle malibu,18.0,8,307.0,130.0,3504,12.0,1970-01-01,USA +1,buick skylark 320,15.0,8,350.0,165.0,3693,11.5,1970-01-01,USA +2,plymouth satellite,18.0,8,318.0,150.0,3436,11.0,1970-01-01,USA +3,amc rebel sst,16.0,8,304.0,150.0,3433,12.0,1970-01-01,USA +4,ford torino,17.0,8,302.0,140.0,3449,10.5,1970-01-01,USA +5,ford galaxie 500,15.0,8,429.0,198.0,4341,10.0,1970-01-01,USA +6,chevrolet impala,14.0,8,454.0,220.0,4354,9.0,1970-01-01,USA +7,plymouth fury iii,14.0,8,440.0,215.0,4312,8.5,1970-01-01,USA +8,pontiac catalina,14.0,8,455.0,225.0,4425,10.0,1970-01-01,USA +9,amc ambassador dpl,15.0,8,390.0,190.0,3850,8.5,1970-01-01,USA +10,citroen ds-21 pallas,,4,133.0,115.0,3090,17.5,1970-01-01,Europe +11,chevrolet chevelle concours (sw),,8,350.0,165.0,4142,11.5,1970-01-01,USA +12,ford torino (sw),,8,351.0,153.0,4034,11.0,1970-01-01,USA +13,plymouth satellite (sw),,8,383.0,175.0,4166,10.5,1970-01-01,USA +14,amc rebel sst (sw),,8,360.0,175.0,3850,11.0,1970-01-01,USA +15,dodge challenger se,15.0,8,383.0,170.0,3563,10.0,1970-01-01,USA +16,plymouth 'cuda 340,14.0,8,340.0,160.0,3609,8.0,1970-01-01,USA +17,ford mustang boss 302,,8,302.0,140.0,3353,8.0,1970-01-01,USA +18,chevrolet monte carlo,15.0,8,400.0,150.0,3761,9.5,1970-01-01,USA +19,buick estate wagon (sw),14.0,8,455.0,225.0,3086,10.0,1970-01-01,USA +20,toyota corona mark ii,24.0,4,113.0,95.0,2372,15.0,1970-01-01,Japan +21,plymouth duster,22.0,6,198.0,95.0,2833,15.5,1970-01-01,USA +22,amc hornet,18.0,6,199.0,97.0,2774,15.5,1970-01-01,USA +23,ford maverick,21.0,6,200.0,85.0,2587,16.0,1970-01-01,USA +24,datsun pl510,27.0,4,97.0,88.0,2130,14.5,1970-01-01,Japan +25,volkswagen 1131 deluxe sedan,26.0,4,97.0,46.0,1835,20.5,1970-01-01,Europe +26,peugeot 504,25.0,4,110.0,87.0,2672,17.5,1970-01-01,Europe +27,audi 100 ls,24.0,4,107.0,90.0,2430,14.5,1970-01-01,Europe +28,saab 99e,25.0,4,104.0,95.0,2375,17.5,1970-01-01,Europe +29,bmw 2002,26.0,4,121.0,113.0,2234,12.5,1970-01-01,Europe +30,amc gremlin,21.0,6,199.0,90.0,2648,15.0,1970-01-01,USA +31,ford f250,10.0,8,360.0,215.0,4615,14.0,1970-01-01,USA +32,chevy c20,10.0,8,307.0,200.0,4376,15.0,1970-01-01,USA +33,dodge d200,11.0,8,318.0,210.0,4382,13.5,1970-01-01,USA +34,hi 1200d,9.0,8,304.0,193.0,4732,18.5,1970-01-01,USA +35,datsun pl510,27.0,4,97.0,88.0,2130,14.5,1971-01-01,Japan +36,chevrolet vega 2300,28.0,4,140.0,90.0,2264,15.5,1971-01-01,USA +37,toyota corona,25.0,4,113.0,95.0,2228,14.0,1971-01-01,Japan +38,ford pinto,25.0,4,98.0,,2046,19.0,1971-01-01,USA +39,volkswagen super beetle 117,,4,97.0,48.0,1978,20.0,1971-01-01,Europe +40,amc gremlin,19.0,6,232.0,100.0,2634,13.0,1971-01-01,USA +41,plymouth satellite custom,16.0,6,225.0,105.0,3439,15.5,1971-01-01,USA +42,chevrolet chevelle malibu,17.0,6,250.0,100.0,3329,15.5,1971-01-01,USA +43,ford torino 500,19.0,6,250.0,88.0,3302,15.5,1971-01-01,USA +44,amc matador,18.0,6,232.0,100.0,3288,15.5,1971-01-01,USA +45,chevrolet impala,14.0,8,350.0,165.0,4209,12.0,1971-01-01,USA +46,pontiac catalina brougham,14.0,8,400.0,175.0,4464,11.5,1971-01-01,USA +47,ford galaxie 500,14.0,8,351.0,153.0,4154,13.5,1971-01-01,USA +48,plymouth fury iii,14.0,8,318.0,150.0,4096,13.0,1971-01-01,USA +49,dodge monaco (sw),12.0,8,383.0,180.0,4955,11.5,1971-01-01,USA +50,ford country squire (sw),13.0,8,400.0,170.0,4746,12.0,1971-01-01,USA +51,pontiac safari (sw),13.0,8,400.0,175.0,5140,12.0,1971-01-01,USA +52,amc hornet sportabout (sw),18.0,6,258.0,110.0,2962,13.5,1971-01-01,USA +53,chevrolet vega (sw),22.0,4,140.0,72.0,2408,19.0,1971-01-01,USA +54,pontiac firebird,19.0,6,250.0,100.0,3282,15.0,1971-01-01,USA +55,ford mustang,18.0,6,250.0,88.0,3139,14.5,1971-01-01,USA +56,mercury capri 2000,23.0,4,122.0,86.0,2220,14.0,1971-01-01,USA +57,opel 1900,28.0,4,116.0,90.0,2123,14.0,1971-01-01,Europe +58,peugeot 304,30.0,4,79.0,70.0,2074,19.5,1971-01-01,Europe +59,fiat 124b,30.0,4,88.0,76.0,2065,14.5,1971-01-01,Europe +60,toyota corolla 1200,31.0,4,71.0,65.0,1773,19.0,1971-01-01,Japan +61,datsun 1200,35.0,4,72.0,69.0,1613,18.0,1971-01-01,Japan +62,volkswagen model 111,27.0,4,97.0,60.0,1834,19.0,1971-01-01,Europe +63,plymouth cricket,26.0,4,91.0,70.0,1955,20.5,1971-01-01,USA +64,toyota corona hardtop,24.0,4,113.0,95.0,2278,15.5,1972-01-01,Japan +65,dodge colt hardtop,25.0,4,97.5,80.0,2126,17.0,1972-01-01,USA +66,volkswagen type 3,23.0,4,97.0,54.0,2254,23.5,1972-01-01,Europe +67,chevrolet vega,20.0,4,140.0,90.0,2408,19.5,1972-01-01,USA +68,ford pinto runabout,21.0,4,122.0,86.0,2226,16.5,1972-01-01,USA +69,chevrolet impala,13.0,8,350.0,165.0,4274,12.0,1972-01-01,USA +70,pontiac catalina,14.0,8,400.0,175.0,4385,12.0,1972-01-01,USA +71,plymouth fury iii,15.0,8,318.0,150.0,4135,13.5,1972-01-01,USA +72,ford galaxie 500,14.0,8,351.0,153.0,4129,13.0,1972-01-01,USA +73,amc ambassador sst,17.0,8,304.0,150.0,3672,11.5,1972-01-01,USA +74,mercury marquis,11.0,8,429.0,208.0,4633,11.0,1972-01-01,USA +75,buick lesabre custom,13.0,8,350.0,155.0,4502,13.5,1972-01-01,USA +76,oldsmobile delta 88 royale,12.0,8,350.0,160.0,4456,13.5,1972-01-01,USA +77,chrysler newport royal,13.0,8,400.0,190.0,4422,12.5,1972-01-01,USA +78,mazda rx2 coupe,19.0,3,70.0,97.0,2330,13.5,1972-01-01,Japan +79,amc matador (sw),15.0,8,304.0,150.0,3892,12.5,1972-01-01,USA +80,chevrolet chevelle concours (sw),13.0,8,307.0,130.0,4098,14.0,1972-01-01,USA +81,ford gran torino (sw),13.0,8,302.0,140.0,4294,16.0,1972-01-01,USA +82,plymouth satellite custom (sw),14.0,8,318.0,150.0,4077,14.0,1972-01-01,USA +83,volvo 145e (sw),18.0,4,121.0,112.0,2933,14.5,1972-01-01,Europe +84,volkswagen 411 (sw),22.0,4,121.0,76.0,2511,18.0,1972-01-01,Europe +85,peugeot 504 (sw),21.0,4,120.0,87.0,2979,19.5,1972-01-01,Europe +86,renault 12 (sw),26.0,4,96.0,69.0,2189,18.0,1972-01-01,Europe +87,ford pinto (sw),22.0,4,122.0,86.0,2395,16.0,1972-01-01,USA +88,datsun 510 (sw),28.0,4,97.0,92.0,2288,17.0,1972-01-01,Japan +89,toyouta corona mark ii (sw),23.0,4,120.0,97.0,2506,14.5,1972-01-01,Japan +90,dodge colt (sw),28.0,4,98.0,80.0,2164,15.0,1972-01-01,USA +91,toyota corolla 1600 (sw),27.0,4,97.0,88.0,2100,16.5,1972-01-01,Japan +92,buick century 350,13.0,8,350.0,175.0,4100,13.0,1973-01-01,USA +93,amc matador,14.0,8,304.0,150.0,3672,11.5,1973-01-01,USA +94,chevrolet malibu,13.0,8,350.0,145.0,3988,13.0,1973-01-01,USA +95,ford gran torino,14.0,8,302.0,137.0,4042,14.5,1973-01-01,USA +96,dodge coronet custom,15.0,8,318.0,150.0,3777,12.5,1973-01-01,USA +97,mercury marquis brougham,12.0,8,429.0,198.0,4952,11.5,1973-01-01,USA +98,chevrolet caprice classic,13.0,8,400.0,150.0,4464,12.0,1973-01-01,USA +99,ford ltd,13.0,8,351.0,158.0,4363,13.0,1973-01-01,USA +100,plymouth fury gran sedan,14.0,8,318.0,150.0,4237,14.5,1973-01-01,USA +101,chrysler new yorker brougham,13.0,8,440.0,215.0,4735,11.0,1973-01-01,USA +102,buick electra 225 custom,12.0,8,455.0,225.0,4951,11.0,1973-01-01,USA +103,amc ambassador brougham,13.0,8,360.0,175.0,3821,11.0,1973-01-01,USA +104,plymouth valiant,18.0,6,225.0,105.0,3121,16.5,1973-01-01,USA +105,chevrolet nova custom,16.0,6,250.0,100.0,3278,18.0,1973-01-01,USA +106,amc hornet,18.0,6,232.0,100.0,2945,16.0,1973-01-01,USA +107,ford maverick,18.0,6,250.0,88.0,3021,16.5,1973-01-01,USA +108,plymouth duster,23.0,6,198.0,95.0,2904,16.0,1973-01-01,USA +109,volkswagen super beetle,26.0,4,97.0,46.0,1950,21.0,1973-01-01,Europe +110,chevrolet impala,11.0,8,400.0,150.0,4997,14.0,1973-01-01,USA +111,ford country,12.0,8,400.0,167.0,4906,12.5,1973-01-01,USA +112,plymouth custom suburb,13.0,8,360.0,170.0,4654,13.0,1973-01-01,USA +113,oldsmobile vista cruiser,12.0,8,350.0,180.0,4499,12.5,1973-01-01,USA +114,amc gremlin,18.0,6,232.0,100.0,2789,15.0,1973-01-01,USA +115,toyota carina,20.0,4,97.0,88.0,2279,19.0,1973-01-01,Japan +116,chevrolet vega,21.0,4,140.0,72.0,2401,19.5,1973-01-01,USA +117,datsun 610,22.0,4,108.0,94.0,2379,16.5,1973-01-01,Japan +118,maxda rx3,18.0,3,70.0,90.0,2124,13.5,1973-01-01,Japan +119,ford pinto,19.0,4,122.0,85.0,2310,18.5,1973-01-01,USA +120,mercury capri v6,21.0,6,155.0,107.0,2472,14.0,1973-01-01,USA +121,fiat 124 sport coupe,26.0,4,98.0,90.0,2265,15.5,1973-01-01,Europe +122,chevrolet monte carlo s,15.0,8,350.0,145.0,4082,13.0,1973-01-01,USA +123,pontiac grand prix,16.0,8,400.0,230.0,4278,9.5,1973-01-01,USA +124,fiat 128,29.0,4,68.0,49.0,1867,19.5,1973-01-01,Europe +125,opel manta,24.0,4,116.0,75.0,2158,15.5,1973-01-01,Europe +126,audi 100ls,20.0,4,114.0,91.0,2582,14.0,1973-01-01,Europe +127,volvo 144ea,19.0,4,121.0,112.0,2868,15.5,1973-01-01,Europe +128,dodge dart custom,15.0,8,318.0,150.0,3399,11.0,1973-01-01,USA +129,saab 99le,24.0,4,121.0,110.0,2660,14.0,1973-01-01,Europe +130,toyota mark ii,20.0,6,156.0,122.0,2807,13.5,1973-01-01,Japan +131,oldsmobile omega,11.0,8,350.0,180.0,3664,11.0,1973-01-01,USA +132,plymouth duster,20.0,6,198.0,95.0,3102,16.5,1974-01-01,USA +133,ford maverick,21.0,6,200.0,,2875,17.0,1974-01-01,USA +134,amc hornet,19.0,6,232.0,100.0,2901,16.0,1974-01-01,USA +135,chevrolet nova,15.0,6,250.0,100.0,3336,17.0,1974-01-01,USA +136,datsun b210,31.0,4,79.0,67.0,1950,19.0,1974-01-01,Japan +137,ford pinto,26.0,4,122.0,80.0,2451,16.5,1974-01-01,USA +138,toyota corolla 1200,32.0,4,71.0,65.0,1836,21.0,1974-01-01,Japan +139,chevrolet vega,25.0,4,140.0,75.0,2542,17.0,1974-01-01,USA +140,chevrolet chevelle malibu classic,16.0,6,250.0,100.0,3781,17.0,1974-01-01,USA +141,amc matador,16.0,6,258.0,110.0,3632,18.0,1974-01-01,USA +142,plymouth satellite sebring,18.0,6,225.0,105.0,3613,16.5,1974-01-01,USA +143,ford gran torino,16.0,8,302.0,140.0,4141,14.0,1974-01-01,USA +144,buick century luxus (sw),13.0,8,350.0,150.0,4699,14.5,1974-01-01,USA +145,dodge coronet custom (sw),14.0,8,318.0,150.0,4457,13.5,1974-01-01,USA +146,ford gran torino (sw),14.0,8,302.0,140.0,4638,16.0,1974-01-01,USA +147,amc matador (sw),14.0,8,304.0,150.0,4257,15.5,1974-01-01,USA +148,audi fox,29.0,4,98.0,83.0,2219,16.5,1974-01-01,Europe +149,volkswagen dasher,26.0,4,79.0,67.0,1963,15.5,1974-01-01,Europe +150,opel manta,26.0,4,97.0,78.0,2300,14.5,1974-01-01,Europe +151,toyota corona,31.0,4,76.0,52.0,1649,16.5,1974-01-01,Japan +152,datsun 710,32.0,4,83.0,61.0,2003,19.0,1974-01-01,Japan +153,dodge colt,28.0,4,90.0,75.0,2125,14.5,1974-01-01,USA +154,fiat 128,24.0,4,90.0,75.0,2108,15.5,1974-01-01,Europe +155,fiat 124 tc,26.0,4,116.0,75.0,2246,14.0,1974-01-01,Europe +156,honda civic,24.0,4,120.0,97.0,2489,15.0,1974-01-01,Japan +157,subaru,26.0,4,108.0,93.0,2391,15.5,1974-01-01,Japan +158,fiat x1.9,31.0,4,79.0,67.0,2000,16.0,1974-01-01,Europe +159,plymouth valiant custom,19.0,6,225.0,95.0,3264,16.0,1975-01-01,USA +160,chevrolet nova,18.0,6,250.0,105.0,3459,16.0,1975-01-01,USA +161,mercury monarch,15.0,6,250.0,72.0,3432,21.0,1975-01-01,USA +162,ford maverick,15.0,6,250.0,72.0,3158,19.5,1975-01-01,USA +163,pontiac catalina,16.0,8,400.0,170.0,4668,11.5,1975-01-01,USA +164,chevrolet bel air,15.0,8,350.0,145.0,4440,14.0,1975-01-01,USA +165,plymouth grand fury,16.0,8,318.0,150.0,4498,14.5,1975-01-01,USA +166,ford ltd,14.0,8,351.0,148.0,4657,13.5,1975-01-01,USA +167,buick century,17.0,6,231.0,110.0,3907,21.0,1975-01-01,USA +168,chevroelt chevelle malibu,16.0,6,250.0,105.0,3897,18.5,1975-01-01,USA +169,amc matador,15.0,6,258.0,110.0,3730,19.0,1975-01-01,USA +170,plymouth fury,18.0,6,225.0,95.0,3785,19.0,1975-01-01,USA +171,buick skyhawk,21.0,6,231.0,110.0,3039,15.0,1975-01-01,USA +172,chevrolet monza 2+2,20.0,8,262.0,110.0,3221,13.5,1975-01-01,USA +173,ford mustang ii,13.0,8,302.0,129.0,3169,12.0,1975-01-01,USA +174,toyota corolla,29.0,4,97.0,75.0,2171,16.0,1975-01-01,Japan +175,ford pinto,23.0,4,140.0,83.0,2639,17.0,1975-01-01,USA +176,amc gremlin,20.0,6,232.0,100.0,2914,16.0,1975-01-01,USA +177,pontiac astro,23.0,4,140.0,78.0,2592,18.5,1975-01-01,USA +178,toyota corona,24.0,4,134.0,96.0,2702,13.5,1975-01-01,Japan +179,volkswagen dasher,25.0,4,90.0,71.0,2223,16.5,1975-01-01,Europe +180,datsun 710,24.0,4,119.0,97.0,2545,17.0,1975-01-01,Japan +181,ford pinto,18.0,6,171.0,97.0,2984,14.5,1975-01-01,USA +182,volkswagen rabbit,29.0,4,90.0,70.0,1937,14.0,1975-01-01,Europe +183,amc pacer,19.0,6,232.0,90.0,3211,17.0,1975-01-01,USA +184,audi 100ls,23.0,4,115.0,95.0,2694,15.0,1975-01-01,Europe +185,peugeot 504,23.0,4,120.0,88.0,2957,17.0,1975-01-01,Europe +186,volvo 244dl,22.0,4,121.0,98.0,2945,14.5,1975-01-01,Europe +187,saab 99le,25.0,4,121.0,115.0,2671,13.5,1975-01-01,Europe +188,honda civic cvcc,33.0,4,91.0,53.0,1795,17.5,1975-01-01,Japan +189,fiat 131,28.0,4,107.0,86.0,2464,15.5,1976-01-01,Europe +190,opel 1900,25.0,4,116.0,81.0,2220,16.9,1976-01-01,Europe +191,capri ii,25.0,4,140.0,92.0,2572,14.9,1976-01-01,USA +192,dodge colt,26.0,4,98.0,79.0,2255,17.7,1976-01-01,USA +193,renault 12tl,27.0,4,101.0,83.0,2202,15.3,1976-01-01,Europe +194,chevrolet chevelle malibu classic,17.5,8,305.0,140.0,4215,13.0,1976-01-01,USA +195,dodge coronet brougham,16.0,8,318.0,150.0,4190,13.0,1976-01-01,USA +196,amc matador,15.5,8,304.0,120.0,3962,13.9,1976-01-01,USA +197,ford gran torino,14.5,8,351.0,152.0,4215,12.8,1976-01-01,USA +198,plymouth valiant,22.0,6,225.0,100.0,3233,15.4,1976-01-01,USA +199,chevrolet nova,22.0,6,250.0,105.0,3353,14.5,1976-01-01,USA +200,ford maverick,24.0,6,200.0,81.0,3012,17.6,1976-01-01,USA +201,amc hornet,22.5,6,232.0,90.0,3085,17.6,1976-01-01,USA +202,chevrolet chevette,29.0,4,85.0,52.0,2035,22.2,1976-01-01,USA +203,chevrolet woody,24.5,4,98.0,60.0,2164,22.1,1976-01-01,USA +204,vw rabbit,29.0,4,90.0,70.0,1937,14.2,1976-01-01,Europe +205,honda civic,33.0,4,91.0,53.0,1795,17.4,1976-01-01,Japan +206,dodge aspen se,20.0,6,225.0,100.0,3651,17.7,1976-01-01,USA +207,ford granada ghia,18.0,6,250.0,78.0,3574,21.0,1976-01-01,USA +208,pontiac ventura sj,18.5,6,250.0,110.0,3645,16.2,1976-01-01,USA +209,amc pacer d/l,17.5,6,258.0,95.0,3193,17.8,1976-01-01,USA +210,volkswagen rabbit,29.5,4,97.0,71.0,1825,12.2,1976-01-01,Europe +211,datsun b-210,32.0,4,85.0,70.0,1990,17.0,1976-01-01,Japan +212,toyota corolla,28.0,4,97.0,75.0,2155,16.4,1976-01-01,Japan +213,ford pinto,26.5,4,140.0,72.0,2565,13.6,1976-01-01,USA +214,volvo 245,20.0,4,130.0,102.0,3150,15.7,1976-01-01,Europe +215,plymouth volare premier v8,13.0,8,318.0,150.0,3940,13.2,1976-01-01,USA +216,peugeot 504,19.0,4,120.0,88.0,3270,21.9,1976-01-01,Europe +217,toyota mark ii,19.0,6,156.0,108.0,2930,15.5,1976-01-01,Japan +218,mercedes-benz 280s,16.5,6,168.0,120.0,3820,16.7,1976-01-01,Europe +219,cadillac seville,16.5,8,350.0,180.0,4380,12.1,1976-01-01,USA +220,chevy c10,13.0,8,350.0,145.0,4055,12.0,1976-01-01,USA +221,ford f108,13.0,8,302.0,130.0,3870,15.0,1976-01-01,USA +222,dodge d100,13.0,8,318.0,150.0,3755,14.0,1976-01-01,USA +223,honda Accelerationord cvcc,31.5,4,98.0,68.0,2045,18.5,1977-01-01,Japan +224,buick opel isuzu deluxe,30.0,4,111.0,80.0,2155,14.8,1977-01-01,USA +225,renault 5 gtl,36.0,4,79.0,58.0,1825,18.6,1977-01-01,Europe +226,plymouth arrow gs,25.5,4,122.0,96.0,2300,15.5,1977-01-01,USA +227,datsun f-10 hatchback,33.5,4,85.0,70.0,1945,16.8,1977-01-01,Japan +228,chevrolet caprice classic,17.5,8,305.0,145.0,3880,12.5,1977-01-01,USA +229,oldsmobile cutlass supreme,17.0,8,260.0,110.0,4060,19.0,1977-01-01,USA +230,dodge monaco brougham,15.5,8,318.0,145.0,4140,13.7,1977-01-01,USA +231,mercury cougar brougham,15.0,8,302.0,130.0,4295,14.9,1977-01-01,USA +232,chevrolet concours,17.5,6,250.0,110.0,3520,16.4,1977-01-01,USA +233,buick skylark,20.5,6,231.0,105.0,3425,16.9,1977-01-01,USA +234,plymouth volare custom,19.0,6,225.0,100.0,3630,17.7,1977-01-01,USA +235,ford granada,18.5,6,250.0,98.0,3525,19.0,1977-01-01,USA +236,pontiac grand prix lj,16.0,8,400.0,180.0,4220,11.1,1977-01-01,USA +237,chevrolet monte carlo landau,15.5,8,350.0,170.0,4165,11.4,1977-01-01,USA +238,chrysler cordoba,15.5,8,400.0,190.0,4325,12.2,1977-01-01,USA +239,ford thunderbird,16.0,8,351.0,149.0,4335,14.5,1977-01-01,USA +240,volkswagen rabbit custom,29.0,4,97.0,78.0,1940,14.5,1977-01-01,Europe +241,pontiac sunbird coupe,24.5,4,151.0,88.0,2740,16.0,1977-01-01,USA +242,toyota corolla liftback,26.0,4,97.0,75.0,2265,18.2,1977-01-01,Japan +243,ford mustang ii 2+2,25.5,4,140.0,89.0,2755,15.8,1977-01-01,USA +244,chevrolet chevette,30.5,4,98.0,63.0,2051,17.0,1977-01-01,USA +245,dodge colt m/m,33.5,4,98.0,83.0,2075,15.9,1977-01-01,USA +246,subaru dl,30.0,4,97.0,67.0,1985,16.4,1977-01-01,Japan +247,volkswagen dasher,30.5,4,97.0,78.0,2190,14.1,1977-01-01,Europe +248,datsun 810,22.0,6,146.0,97.0,2815,14.5,1977-01-01,Japan +249,bmw 320i,21.5,4,121.0,110.0,2600,12.8,1977-01-01,Europe +250,mazda rx-4,21.5,3,80.0,110.0,2720,13.5,1977-01-01,Japan +251,volkswagen rabbit custom diesel,43.1,4,90.0,48.0,1985,21.5,1978-01-01,Europe +252,ford fiesta,36.1,4,98.0,66.0,1800,14.4,1978-01-01,USA +253,mazda glc deluxe,32.8,4,78.0,52.0,1985,19.4,1978-01-01,Japan +254,datsun b210 gx,39.4,4,85.0,70.0,2070,18.6,1978-01-01,Japan +255,honda civic cvcc,36.1,4,91.0,60.0,1800,16.4,1978-01-01,Japan +256,oldsmobile cutlass salon brougham,19.9,8,260.0,110.0,3365,15.5,1978-01-01,USA +257,dodge diplomat,19.4,8,318.0,140.0,3735,13.2,1978-01-01,USA +258,mercury monarch ghia,20.2,8,302.0,139.0,3570,12.8,1978-01-01,USA +259,pontiac phoenix lj,19.2,6,231.0,105.0,3535,19.2,1978-01-01,USA +260,chevrolet malibu,20.5,6,200.0,95.0,3155,18.2,1978-01-01,USA +261,ford fairmont (auto),20.2,6,200.0,85.0,2965,15.8,1978-01-01,USA +262,ford fairmont (man),25.1,4,140.0,88.0,2720,15.4,1978-01-01,USA +263,plymouth volare,20.5,6,225.0,100.0,3430,17.2,1978-01-01,USA +264,amc concord,19.4,6,232.0,90.0,3210,17.2,1978-01-01,USA +265,buick century special,20.6,6,231.0,105.0,3380,15.8,1978-01-01,USA +266,mercury zephyr,20.8,6,200.0,85.0,3070,16.7,1978-01-01,USA +267,dodge aspen,18.6,6,225.0,110.0,3620,18.7,1978-01-01,USA +268,amc concord d/l,18.1,6,258.0,120.0,3410,15.1,1978-01-01,USA +269,chevrolet monte carlo landau,19.2,8,305.0,145.0,3425,13.2,1978-01-01,USA +270,buick regal sport coupe (turbo),17.7,6,231.0,165.0,3445,13.4,1978-01-01,USA +271,ford futura,18.1,8,302.0,139.0,3205,11.2,1978-01-01,USA +272,dodge magnum xe,17.5,8,318.0,140.0,4080,13.7,1978-01-01,USA +273,chevrolet chevette,30.0,4,98.0,68.0,2155,16.5,1978-01-01,USA +274,toyota corona,27.5,4,134.0,95.0,2560,14.2,1978-01-01,Japan +275,datsun 510,27.2,4,119.0,97.0,2300,14.7,1978-01-01,Japan +276,dodge omni,30.9,4,105.0,75.0,2230,14.5,1978-01-01,USA +277,toyota celica gt liftback,21.1,4,134.0,95.0,2515,14.8,1978-01-01,Japan +278,plymouth sapporo,23.2,4,156.0,105.0,2745,16.7,1978-01-01,USA +279,oldsmobile starfire sx,23.8,4,151.0,85.0,2855,17.6,1978-01-01,USA +280,datsun 200-sx,23.9,4,119.0,97.0,2405,14.9,1978-01-01,Japan +281,audi 5000,20.3,5,131.0,103.0,2830,15.9,1978-01-01,Europe +282,volvo 264gl,17.0,6,163.0,125.0,3140,13.6,1978-01-01,Europe +283,saab 99gle,21.6,4,121.0,115.0,2795,15.7,1978-01-01,Europe +284,peugeot 604sl,16.2,6,163.0,133.0,3410,15.8,1978-01-01,Europe +285,volkswagen scirocco,31.5,4,89.0,71.0,1990,14.9,1978-01-01,Europe +286,honda Accelerationord lx,29.5,4,98.0,68.0,2135,16.6,1978-01-01,Japan +287,pontiac lemans v6,21.5,6,231.0,115.0,3245,15.4,1979-01-01,USA +288,mercury zephyr 6,19.8,6,200.0,85.0,2990,18.2,1979-01-01,USA +289,ford fairmont 4,22.3,4,140.0,88.0,2890,17.3,1979-01-01,USA +290,amc concord dl 6,20.2,6,232.0,90.0,3265,18.2,1979-01-01,USA +291,dodge aspen 6,20.6,6,225.0,110.0,3360,16.6,1979-01-01,USA +292,chevrolet caprice classic,17.0,8,305.0,130.0,3840,15.4,1979-01-01,USA +293,ford ltd landau,17.6,8,302.0,129.0,3725,13.4,1979-01-01,USA +294,mercury grand marquis,16.5,8,351.0,138.0,3955,13.2,1979-01-01,USA +295,dodge st. regis,18.2,8,318.0,135.0,3830,15.2,1979-01-01,USA +296,buick estate wagon (sw),16.9,8,350.0,155.0,4360,14.9,1979-01-01,USA +297,ford country squire (sw),15.5,8,351.0,142.0,4054,14.3,1979-01-01,USA +298,chevrolet malibu classic (sw),19.2,8,267.0,125.0,3605,15.0,1979-01-01,USA +299,chrysler lebaron town @ country (sw),18.5,8,360.0,150.0,3940,13.0,1979-01-01,USA +300,vw rabbit custom,31.9,4,89.0,71.0,1925,14.0,1979-01-01,Europe +301,maxda glc deluxe,34.1,4,86.0,65.0,1975,15.2,1979-01-01,Japan +302,dodge colt hatchback custom,35.7,4,98.0,80.0,1915,14.4,1979-01-01,USA +303,amc spirit dl,27.4,4,121.0,80.0,2670,15.0,1979-01-01,USA +304,mercedes benz 300d,25.4,5,183.0,77.0,3530,20.1,1979-01-01,Europe +305,cadillac eldorado,23.0,8,350.0,125.0,3900,17.4,1979-01-01,USA +306,peugeot 504,27.2,4,141.0,71.0,3190,24.8,1979-01-01,Europe +307,oldsmobile cutlass salon brougham,23.9,8,260.0,90.0,3420,22.2,1979-01-01,USA +308,plymouth horizon,34.2,4,105.0,70.0,2200,13.2,1979-01-01,USA +309,plymouth horizon tc3,34.5,4,105.0,70.0,2150,14.9,1979-01-01,USA +310,datsun 210,31.8,4,85.0,65.0,2020,19.2,1979-01-01,Japan +311,fiat strada custom,37.3,4,91.0,69.0,2130,14.7,1979-01-01,Europe +312,buick skylark limited,28.4,4,151.0,90.0,2670,16.0,1979-01-01,USA +313,chevrolet citation,28.8,6,173.0,115.0,2595,11.3,1979-01-01,USA +314,oldsmobile omega brougham,26.8,6,173.0,115.0,2700,12.9,1979-01-01,USA +315,pontiac phoenix,33.5,4,151.0,90.0,2556,13.2,1979-01-01,USA +316,vw rabbit,41.5,4,98.0,76.0,2144,14.7,1980-01-01,Europe +317,toyota corolla tercel,38.1,4,89.0,60.0,1968,18.8,1980-01-01,Japan +318,chevrolet chevette,32.1,4,98.0,70.0,2120,15.5,1980-01-01,USA +319,datsun 310,37.2,4,86.0,65.0,2019,16.4,1980-01-01,Japan +320,chevrolet citation,28.0,4,151.0,90.0,2678,16.5,1980-01-01,USA +321,ford fairmont,26.4,4,140.0,88.0,2870,18.1,1980-01-01,USA +322,amc concord,24.3,4,151.0,90.0,3003,20.1,1980-01-01,USA +323,dodge aspen,19.1,6,225.0,90.0,3381,18.7,1980-01-01,USA +324,audi 4000,34.3,4,97.0,78.0,2188,15.8,1980-01-01,Europe +325,toyota corona liftback,29.8,4,134.0,90.0,2711,15.5,1980-01-01,Japan +326,mazda 626,31.3,4,120.0,75.0,2542,17.5,1980-01-01,Japan +327,datsun 510 hatchback,37.0,4,119.0,92.0,2434,15.0,1980-01-01,Japan +328,toyota corolla,32.2,4,108.0,75.0,2265,15.2,1980-01-01,Japan +329,mazda glc,46.6,4,86.0,65.0,2110,17.9,1980-01-01,Japan +330,dodge colt,27.9,4,156.0,105.0,2800,14.4,1980-01-01,USA +331,datsun 210,40.8,4,85.0,65.0,2110,19.2,1980-01-01,Japan +332,vw rabbit c (diesel),44.3,4,90.0,48.0,2085,21.7,1980-01-01,Europe +333,vw dasher (diesel),43.4,4,90.0,48.0,2335,23.7,1980-01-01,Europe +334,audi 5000s (diesel),36.4,5,121.0,67.0,2950,19.9,1980-01-01,Europe +335,mercedes-benz 240d,30.0,4,146.0,67.0,3250,21.8,1980-01-01,Europe +336,honda civic 1500 gl,44.6,4,91.0,67.0,1850,13.8,1980-01-01,Japan +337,renault lecar deluxe,40.9,4,85.0,,1835,17.3,1980-01-01,Europe +338,subaru dl,33.8,4,97.0,67.0,2145,18.0,1980-01-01,Japan +339,vokswagen rabbit,29.8,4,89.0,62.0,1845,15.3,1980-01-01,Europe +340,datsun 280-zx,32.7,6,168.0,132.0,2910,11.4,1980-01-01,Japan +341,mazda rx-7 gs,23.7,3,70.0,100.0,2420,12.5,1980-01-01,Japan +342,triumph tr7 coupe,35.0,4,122.0,88.0,2500,15.1,1980-01-01,Europe +343,ford mustang cobra,23.6,4,140.0,,2905,14.3,1980-01-01,USA +344,honda Accelerationord,32.4,4,107.0,72.0,2290,17.0,1980-01-01,Japan +345,plymouth reliant,27.2,4,135.0,84.0,2490,15.7,1982-01-01,USA +346,buick skylark,26.6,4,151.0,84.0,2635,16.4,1982-01-01,USA +347,dodge aries wagon (sw),25.8,4,156.0,92.0,2620,14.4,1982-01-01,USA +348,chevrolet citation,23.5,6,173.0,110.0,2725,12.6,1982-01-01,USA +349,plymouth reliant,30.0,4,135.0,84.0,2385,12.9,1982-01-01,USA +350,toyota starlet,39.1,4,79.0,58.0,1755,16.9,1982-01-01,Japan +351,plymouth champ,39.0,4,86.0,64.0,1875,16.4,1982-01-01,USA +352,honda civic 1300,35.1,4,81.0,60.0,1760,16.1,1982-01-01,Japan +353,subaru,32.3,4,97.0,67.0,2065,17.8,1982-01-01,Japan +354,datsun 210,37.0,4,85.0,65.0,1975,19.4,1982-01-01,Japan +355,toyota tercel,37.7,4,89.0,62.0,2050,17.3,1982-01-01,Japan +356,mazda glc 4,34.1,4,91.0,68.0,1985,16.0,1982-01-01,Japan +357,plymouth horizon 4,34.7,4,105.0,63.0,2215,14.9,1982-01-01,USA +358,ford escort 4w,34.4,4,98.0,65.0,2045,16.2,1982-01-01,USA +359,ford escort 2h,29.9,4,98.0,65.0,2380,20.7,1982-01-01,USA +360,volkswagen jetta,33.0,4,105.0,74.0,2190,14.2,1982-01-01,Europe +361,renault 18i,34.5,4,100.0,,2320,15.8,1982-01-01,Europe +362,honda prelude,33.7,4,107.0,75.0,2210,14.4,1982-01-01,Japan +363,toyota corolla,32.4,4,108.0,75.0,2350,16.8,1982-01-01,Japan +364,datsun 200sx,32.9,4,119.0,100.0,2615,14.8,1982-01-01,Japan +365,mazda 626,31.6,4,120.0,74.0,2635,18.3,1982-01-01,Japan +366,peugeot 505s turbo diesel,28.1,4,141.0,80.0,3230,20.4,1982-01-01,Europe +367,saab 900s,,4,121.0,110.0,2800,15.4,1982-01-01,Europe +368,volvo diesel,30.7,6,145.0,76.0,3160,19.6,1982-01-01,Europe +369,toyota cressida,25.4,6,168.0,116.0,2900,12.6,1982-01-01,Japan +370,datsun 810 maxima,24.2,6,146.0,120.0,2930,13.8,1982-01-01,Japan +371,buick century,22.4,6,231.0,110.0,3415,15.8,1982-01-01,USA +372,oldsmobile cutlass ls,26.6,8,350.0,105.0,3725,19.0,1982-01-01,USA +373,ford granada gl,20.2,6,200.0,88.0,3060,17.1,1982-01-01,USA +374,chrysler lebaron salon,17.6,6,225.0,85.0,3465,16.6,1982-01-01,USA +375,chevrolet cavalier,28.0,4,112.0,88.0,2605,19.6,1982-01-01,USA +376,chevrolet cavalier wagon,27.0,4,112.0,88.0,2640,18.6,1982-01-01,USA +377,chevrolet cavalier 2-door,34.0,4,112.0,88.0,2395,18.0,1982-01-01,USA +378,pontiac j2000 se hatchback,31.0,4,112.0,85.0,2575,16.2,1982-01-01,USA +379,dodge aries se,29.0,4,135.0,84.0,2525,16.0,1982-01-01,USA +380,pontiac phoenix,27.0,4,151.0,90.0,2735,18.0,1982-01-01,USA +381,ford fairmont futura,24.0,4,140.0,92.0,2865,16.4,1982-01-01,USA +382,amc concord dl,23.0,4,151.0,,3035,20.5,1982-01-01,USA +383,volkswagen rabbit l,36.0,4,105.0,74.0,1980,15.3,1982-01-01,Europe +384,mazda glc custom l,37.0,4,91.0,68.0,2025,18.2,1982-01-01,Japan +385,mazda glc custom,31.0,4,91.0,68.0,1970,17.6,1982-01-01,Japan +386,plymouth horizon miser,38.0,4,105.0,63.0,2125,14.7,1982-01-01,USA +387,mercury lynx l,36.0,4,98.0,70.0,2125,17.3,1982-01-01,USA +388,nissan stanza xe,36.0,4,120.0,88.0,2160,14.5,1982-01-01,Japan +389,honda Accelerationord,36.0,4,107.0,75.0,2205,14.5,1982-01-01,Japan +390,toyota corolla,34.0,4,108.0,70.0,2245,16.9,1982-01-01,Japan +391,honda civic,38.0,4,91.0,67.0,1965,15.0,1982-01-01,Japan +392,honda civic (auto),32.0,4,91.0,67.0,1965,15.7,1982-01-01,Japan +393,datsun 310 gx,38.0,4,91.0,67.0,1995,16.2,1982-01-01,Japan +394,buick century limited,25.0,6,181.0,110.0,2945,16.4,1982-01-01,USA +395,oldsmobile cutlass ciera (diesel),38.0,6,262.0,85.0,3015,17.0,1982-01-01,USA +396,chrysler lebaron medallion,26.0,4,156.0,92.0,2585,14.5,1982-01-01,USA +397,ford granada l,22.0,6,232.0,112.0,2835,14.7,1982-01-01,USA +398,toyota celica gt,32.0,4,144.0,96.0,2665,13.9,1982-01-01,Japan +399,dodge charger 2.2,36.0,4,135.0,84.0,2370,13.0,1982-01-01,USA +400,chevrolet camaro,27.0,4,151.0,90.0,2950,17.3,1982-01-01,USA +401,ford mustang gl,27.0,4,140.0,86.0,2790,15.6,1982-01-01,USA +402,vw pickup,44.0,4,97.0,52.0,2130,24.6,1982-01-01,Europe +403,dodge rampage,32.0,4,135.0,84.0,2295,11.6,1982-01-01,USA +404,ford ranger,28.0,4,120.0,79.0,2625,18.6,1982-01-01,USA +405,chevy s-10,31.0,4,119.0,82.0,2720,19.4,1982-01-01,USA diff --git a/materials/python/py_tutorial_viz/data/fast_food.csv b/materials/python/py_tutorial_viz/data/fast_food.csv new file mode 100644 index 0000000..60af0b3 --- /dev/null +++ b/materials/python/py_tutorial_viz/data/fast_food.csv @@ -0,0 +1,10001 @@ +name,st +McDonald's,NY +Wendy's,OH +Frisch's Big Boy,KY +McDonald's,NY +OMG! Rotisserie,OH +Domino's Pizza,OH +Domino's Pizza,OH +McDonald's,SC +Wendy's,SC +Pizza Hut,AR +SONIC Drive In,AR +Domino's Pizza,AR +McDonald's,OK +Domino's Pizza,KY +Long John Silver's,IN +McDonald's,KY +McDonald's,OK +Taco Bell,NC +McDonald's,NC +Qdoba Mexican Grill,TN +McDonald's,NC +McDonald's,KY +McDonald's,TX +McDonald's,TX +McDonald's,OK +Pizza Hut,LA +Sonic Drive-In,LA +Domino's Pizza,OK +McDonald's,OH +SONIC Drive In,KS +Taco Bell,ND +Domino's Pizza,ND +Taco John's,ND +McDonald's,ND +Whataburger,TX +Pizza Hut,ND +Domino's Pizza,UT +Hamburger King,OK +SONIC Drive In,OK +Domino's Pizza,OK +Burger King,GA +Burger King,NM +McDonalds,TX +SONIC Drive In,OK +Taco Time,OR +McDonald's,KY +Burger King,OH +McDonald's,IN +Jimmy John's,TX +Domino's Pizza,OK +Jersey Mike's Subs,HI +Popeyes Louisiana Kitchen,IN +Qdoba Mexican Grill,KY +Domino's Pizza,OR +Whataburger,TX +Qdoba Mexican Grill,KY +Taco Bell,VT +Whataburger,TX +Whataburger,TX +Hardee's,MI +McDonald's,NC +Rally's,MO +Quiznos,LA +Burger King,NY +Whataburger,TX +Domino's Pizza,WI +SONIC Drive In,AR +Taco Bell,MO +Domino's Pizza,TN +Taco Bell,WA +Jimmy John's,MO +Taco Bell,AR +Domino's Pizza,TN +McDonald's,LA +Domino's Pizza,NC +Burger King,NY +McDonalds,GA +Jack in the Box,OR +Sonic Drive-In,UT +Taco Bell,UT +Subway,UT +Jimmy John's,IN +McDonald's,TN +Hardee's,WI +McDonald's,TN +McDonald's,WI +Taco John's,WI +McDonald's,WI +Mr Hero,OH +McDonald's,WA +McDonald's,UT +Taco Bell,MS +Domino's Pizza,KS +Taco Bell,UT +Taco Bell,UT +Pizza Hut,KS +Amigos/Kings Classic,NE +Raising Cane's Chicken Fingers,KS +McDonalds,OH +Whataburger,TX +McDonald's,TX +Domino's Pizza,OH +Domino's Pizza,OH +Whataburger,TX +Burger King,ME +Taco Time,WA +SONIC Drive In,MO +McDonald's,MO +Coop DeVille,MS +McDonalds,NE +Amigos/Kings Classic,NE +B. Good,NY +Domino's Pizza,KY +McDonald's,KY +Sonic Drive-In,LA +McDonald's,KY +Domino's Pizza,NM +McDonald's,KY +Burger King,LA +Sonic Drive-In,LA +Domino's Pizza,NM +Rally's,IN +Taco Bell,LA +Taco Bell,LA +Pizza Hut,LA +Sonic Drive-In,LA +Back Yard Burgers,MS +McDonald's,MS +Wendy's,NC +Domino's Pizza,MN +Burger King,GA +Sonic Drive-In,AL +Domino's Pizza,IA +Taco Bell,AL +Domino's Pizza,NC +McDonalds,NC +Arby's,WV +Pacific Rim,VT +Taco Bell,TX +Panda Express,SC +Domino's Pizza,IA +Taco Bell,NC +Chick-fil-A,GA +Hardee's,SC +Domino's Pizza,SC +McDonald's,IA +McDonald's,TX +Captain D's,LA +Whataburger,TX +Jack in the Box,TX +Sonic Drive-In,LA +McDonald's,OR +Domino's Pizza,TN +SONIC Drive In,MO +SONIC Drive In,MO +Samurai Sam's,AZ +Arby's,AL +Amigos/Kings Classic,NE +SONIC Drive In,KS +McDonald's,TX +McDonald's,TX +Subway,WV +McDonald's,TX +Whataburger,TX +McDonald's,TX +McDonalds,TX +McDonald's,TX +Taco Bell,TX +McDonald's,TX +Taco Bell,TX +McDonald's,TX +McDonald's,TX +McDonald's,TX +Taco Bell,TX +McDonald's,TX +Domino's Pizza,NC +SONIC Drive In,AR +Domino's Pizza,LA +Domino's Pizza,NE +Domino's Pizza,NE +Domino's Pizza,KY +Domino's Pizza,NC +Taco Bell,TX +McDonald's,NM +Sonic Drive-In,NE +Taco Bell,ND +Taco John's,ND +Taco John's,SD +McDonalds,NM +McDonald's,LA +Sonic Drive-In,NM +McDonald's,SD +Taco Bell,MN +Taco Bell,WY +Taco John's,SD +Whataburger,LA +Northeastern State University,OK +McDonald's,LA +Taco Bell,ME +McDonald's,ME +Pizza Hut,NM +McDonald's,LA +Domino's Pizza,ME +SONIC Drive In,AR +McDonald's,OK +Taco Bell,OK +Subway,OK +Domino's Pizza,OR +Domino's Pizza,VT +SONIC Drive In,OK +Subway,LA +McDonald's,NY +Jimmy John's,IN +Taco Bell,VT +SUBWAY,VT +Pizza Hut,IN +Domino's Pizza,VT +Wendy's,NC +Domino's Pizza,ME +Taco John's,ND +Sarku Japan,SC +Taco Bell,IA +Taco Bell,IA +Taco Bell,IA +Taco Bell,AL +Pizza Hut,SC +Taco Bell,IL +Burger King,NY +Chick-fil-A,SC +Subway,WY +Domino's Pizza,NY +Taco Bell,IL +Taco Bell,NY +McDonald's,NY +Taco Bell,IL +Burger King,OH +Captain D's,MO +McDonald's,IL +Jack in the Box,MO +McDonald's,IL +Burger King,AL +Taco Bell,IL +McDonald's,NY +Five Guys,NY +Pei Wei,VA +Wendy's,VA +Arby's,KY +McDonald's,KY +Taco Bell,KY +Arby's,MO +Taco Bell,SC +McDonald's,SC +SONIC Drive In,TN +Taco Bell,TN +Wendy's,TN +Burger King,TX +Jack in the Box,TX +Jimmy John's,MO +McDonald's,TN +Taco Bell,TX +Wendy's,TX +Krystal,FL +Baja Fresh,CA +Mcdonald's,LA +McDonald's,MO +Taco Bell,MO +Taco Bell,MO +Taco Bell,MO +Chick-fil-A,MO +Burger King,MO +Bojangles' Famous Chicken 'n Biscuits,NC +Burger King,IL +Arby's,AR +Wendy's,AR +SUBWAY,AR +Hardee's,AR +McDonald's,AR +Burger King,AR +McDonald's,IA +Taco Bell,IA +Taco Bell,MO +Pollo Tropical,FL +Burger King,MO +McDonald's,LA +Wendy's,MS +Burger King,MS +Burger King,MS +Arby's,TN +Domino's Pizza,MS +Domino's Pizza,MS +Burger King,AL +Burger King,AL +Waffle House,AL +Popeye's Chicken & Biscuits,AL +Popeye's Chicken & Biscuits,AL +Hardee's,IA +Burger King,IA +McDonald's,IA +Jimmy Johns,IA +Wendy's,IA +McDonald's,IA +Arby's,IA +Wendy's,IA +Back Yard Burgers,TN +Burger King,IA +Krystal,GA +Arby's,GA +Bojangles' Famous Chicken 'n Biscuits,GA +Hardee's,IA +McDonald's,IA +Hardee's,IA +McDonald's,TN +McDonald's,GA +Checkers,MS +McDonald's,IA +McDonald's,IA +McDonald's,IA +Krystal,MS +Burger King,TN +Burger King,TN +Krystal,TN +Burger King,TN +Burger King,TN +Arby's,IA +Burger King,IA +Domino's Pizza,MT +Domino's Pizza,MT +McDonald's,IA +McDonald's,IA +Integrated Therapy Specialists: Arnold D Larson,IA +McDonald's,GA +KFC,GA +Hardee's,GA +Burger King,GA +Wendy's,IA +Arby's,IA +Jimmy John's,IA +McDonald's,IA +Wendy's,IA +McDonald's,IA +Jimmy John's,IA +McDonald's,IA +Arby's,IA +Burger King,IA +Hardee's,IA +KFC,IA +Burger King,IA +Arby's,IA +Hardee's,IA +Burger King,IA +Domino's Pizza,MS +Burger King,IA +Domino's Pizza,ID +Burger King,NC +Jimmy John's,NC +Jimmy John's,NC +Jack In The Box,ID +Wendy's,ID +McDonald's,ID +Waffle House,NC +McDonald's,IA +McDonald's,ID +Pizza Hut,ID +McDonald's,ID +Burger King,IA +McDonald's,IA +Quiznos,NC +Arby's,ID +Burger King,ID +Arby's,NC +Wendy's,IL +Taco Bell,IL +KFC,IL +Arby's,MI +Burger King,NC +Burger King,NC +McDonalds,IL +Hardee's,NC +McDonald's,NC +Bojangles' Famous Chicken 'n Biscuits,NC +KFC,NC +McDonald's,IL +Taco Bell,IA +Subway,IA +Hardee's,IA +McDonalds,SC +Wendy's,ID +Taco Bell,ID +Jack in the Box,ID +Jack in the Box,ID +Jimmy John's,ID +Subway,ID +Arby's,ID +Wendy's,ID +Burger King,IL +Hardee's,IL +Taco Bell,IL +KFC,ID +Wendy's,ID +Jack in the Box,ID +McDonald's,ID +Dairy Queen,ID +Arby's,ID +Burger King,IL +Hardee's,IL +McDonald's,IL +Burger King,IL +Taco Bell,IL +McDonald's,IL +Burger King,IL +Burger King,IL +Taco Bell,KY +Wendy's,IL +Wendy's,KY +Wendy's,IL +Jimmy John's,IL +Burger King,IL +Arby's,IL +McDonald's,IL +Hardee's,IL +Long John Silver's,IL +Arby's,IN +Taco Bell,IN +Arby's,IN +Hardee's,IL +Penguin Point,IN +Arby's,IN +Wendy's,IN +Burger King,IN +McDonald's,IN +KFC,IN +Taco Bell,IN +KFC,IL +Wendy's,IN +Wendy's,IL +McDonald's,IL +Taco Bell,IL +Jack In The Box,IL +Burger King,IL +Burger King,IL +Burger King,IN +Wendy's,IN +Arby's,IN +Burger King,IN +Burger King,IN +McDonald's,IN +McDonald's,IN +Wendy's,IN +McDonald's,IN +Burger King,IN +Wendy's,IN +Arby's,IN +Taco Bell,IN +Burger King,IN +Wendy's,IN +Arby's,IN +McDonald's,IN +Arby's,IN +Taco Bell,IN +Burger King,IN +Wendy's,IN +Taco Bell,IN +McDonald's,IN +KFC,IN +Chick-fil-A,IN +Burger King,IN +McDonald's,IN +McDonald's,MI +KFC,IN +Burger King,IN +Taco Bell,IL +Taco Bell,IN +Wendy's,IN +KFC,IN +Hardee's,IN +KFC,IN +McDonald's,IN +Burger King,IN +McDonald's,IN +Hardee's,IN +McDonald's,IN +Taco Bell,IN +Arby's,IN +Wendy's,IN +Wendy's,IN +Taco Bell,IN +Burger King,IN +McDonald's,IN +McDonald's,IN +Wendy's,IN +Arby's,IN +Taco Bell,IN +KFC,IN +SUBWAY,IN +McDonald's,IN +McDonald's,IN +McDonald's,IN +Taco Bell,IN +KFC,IN +Arby's,IN +McDonald's,IN +Chick-Fil-A,IN +Rally's,IN +McDonald's,IN +KFC,IN +Burger King,IL +Wendy's,IL +KFC,IL +McDonald's,IL +Arby's,IN +McDonalds,KY +Arby's,KY +Arby's,PA +Subway,MO +Subway,MO +Wendy's,MO +McDonald's,MO +Goodcents Deli Fresh Subs,MO +Wendy's,MO +McDonald's,MO +SONIC Drive In,MO +Whataburger,TX +SUBWAY,MN +McDonald's,AL +SUBWAY,MN +McDonald's,PA +McDonald's,VA +McDonald's,PA +White Castle,MO +Wendy's,MO +Culver's,IL +Taco Bell,FL +McDonalds,FL +Wendy's,LA +Wendy's,LA +Wendy's,LA +Arby's,OK +Church's Chicken,OK +KFC,PA +Wendy's,MI +McDonald's,MI +Jimmy John's,MI +McDonald's,VA +Taco Bell,MI +SUBWAY,RI +Wendy's,FL +KFC / Taco Bell,ME +McDonald's,NC +McDonald's,NC +Popeyes Louisiana Kitchen,GA +Jacks Grocery,CA +Taco Bell,OH +Mr Hero,OH +Wendy's,OH +Wendy's,OH +Mr Hero,OH +McDonald's,MI +Krystal,TN +Taco Bell,MI +Chick-fil-A,TN +Arby's,FL +Chipotle Mexican Grill,NY +SUBWAYå¨,NY +Ernie's All American Burger,NV +Whataburger,TX +McDonald's,NJ +Taco Bell,NJ +Wendy's,NJ +McDonald's,NJ +Windmill Gourmet Fast Foods,NJ +Wendy's,PA +SONIC Drive In,PA +Wendy's,MA +SUBWAY,TX +b.good,NJ +Boston Market,NJ +Arby's,WI +McDonald's,LA +McDonald's,LA +Sonic Drive-In,LA +Taco Bell,LA +Arby's,NY +McDonald's,VA +Hardee's,VA +Dairy Queen,PA +McDonald's,VA +Wendy's,VA +Arby's,VA +McDonald's,IL +Taco Bell,VA +Hardee's,VA +McDonald's,VA +Wendy's,NJ +Burger King,NJ +McDonald's,NJ +Burger King,NJ +Taco Bell,NJ +Dunkin Donuts,NJ +McDonald's,WV +McDonald's,OH +Wendy's,MD +Moe's Original Bar B Que,FL +Culver's,MN +White Castle,MO +McDonald's,MO +Taco Bell,MO +Taco Bell,MO +Subway,MO +Jimmy John's,MO +Taco Bell,MO +Taco Bell,MO +Jack in the Box,MO +SONIC Drive In,MO +Chick-fil-A,PA +Penn Station East Coast Subs,MO +Hardee's,PA +Chick-fil-A,VA +Wendy's,PA +Dairy Queen,MO +Burger King,PA +Sonic Drive-In,OH +McDonald's,CA +Burger King,CA +Carl's Jr.,CA +McDonald's,CA +Pizza Hut,MA +Wendy's,FL +Burger King,FL +McDonald's,LA +Taco Bell,LA +McDonald's,LA +SONIC Drive In,LA +SUBWAY,WA +Arby's,MI +SUBWAY,MA +Chick-fil-A,VA +McDonald's,VA +Taco Bell,VA +McDonald's,VA +McDonald's,VA +Taco Bell,VA +Wendy's,VA +Cook Out,VA +In-N-Out Burger,CA +McDonald's,NJ +Arby's,MI +McDonald's,MI +McDonalds,MI +Jimmy John's,MI +Taco Bell,MI +KFC,TN +Wendy's,OH +Mr. Hero,OH +Jimmy John's,OH +Taco Bell,FL +McDonald's,FL +Jimmy John's,WA +Arby's,WI +Taco Bell,MA +Jack in the Box,CA +Del Taco,CA +McDonald's,CA +Jack in the Box,CA +Nick's Burgers,CA +Wendy's,CA +Taco Bell,CA +Del Taco,CA +Baker's Drive Thru,CA +Domino's Pizza,NJ +McDonald's,NJ +Burger King,PA +Jersey Mike's Subs,NJ +McDonald's,OH +Wendy's,GA +Hardee's,VA +Arby's,IN +Chick-fil-A,IN +SONIC Drive In,AL +Arby's,AL +Taco John's,IA +Taco Bell,AR +Jack in the Box,CA +Krystal,GA +Taco Bell,OH +Arby's,PA +Burger King,PA +McDonald's,VA +Taco Bell,CA +McDonald's,MN +Sonic Drive-In,NC +Mc Donald's,MO +Burger King,NJ +Arby's,OH +Carl's Jr.,CA +Burger King,CA +McDonald's,PA +Hardee's,WI +Mcdonalds,OH +McDonald's,PA +Mickey's Gyros & Ribs,IL +KFC,VA +Long John Silvers,PA +Burger King,PA +Five Guys,PA +Five Guys,PA +Sensenig Poultry LLC,PA +Burger King,PA +Burger King,PA +Burger King,PA +Arby's,OH +Chipotle Mexican Grill,MA +McDonald's,MN +Burger King,PA +McDonald's,PA +Burger King,PA +Five Guys,PA +Chick-Fil-A,LA +KFC,PA +Wendy's,PA +McDonald's,PA +McDonald's,PA +Taco Bell,MI +Waffle House,PA +Rally's,OH +Burger King,PA +McDonald's,PA +Five Guys,PA +Burger King,PA +McDonald's,PA +Burger King,PA +Jimmy John's,OH +Arby's,VA +Hardee's,VA +McDonald's,VA +Arby's,VA +McDonald's,CO +Burger King,CO +Arby's,AL +Taco Bell,AL +KFC,PA +KFC,PA +Wendy's,NJ +Burger King,PA +Burger King,PA +Pei Wei,NJ +Taco Bell,OH +Frugals,WA +Burger King,GA +Jack in the Box,CA +KFC,WI +Arby's,AL +McDonalds,AL +SONIC Drive In,AL +Captain D's,AL +Krystal,TN +Bojangles' Famous Chicken 'n Biscuits,NC +Seaside Eatery,NJ +SUBWAY,NJ +Chipotle Mexican Grill,NJ +Taco Bell,MN +Burger King,PA +Dairy Queen,NV +Burger King,PA +Taco Bell,MO +McDonald's,MO +Jack in the Box,CA +Chick-fil-A,VA +McDonald's,CA +Bojangles' Famous Chicken 'n Biscuits,VA +Burger 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zqK7quC4XQ!QHG0A?KW=Z%|^gg;*V4Vn%vKFHp`uUHZjRQnASB5BqUaWZ!S3UmXeKULll%%$;9t+GMPZ8PXjIaGUE%s%z*ye*#MqwZdmjRyu*J#!Y)^K-f#=)Ofi~<5NF@nEH>mTG!|52ka5{huZr(c=SE32swt?N|M;)FK`^Jl-G z_IXhD%bG}ydr%-Bf3(!`w%0$g{4of(Nyi3nhKD4Ja@XLTzlN~}V)_MyYC>X#GJGd zje|Z|ZANVXob)pqb=Ik`~=T>ulEf5A??zL {points: 1}\n", + "\n", + "Match the following definitions with the corresponding encoding mapping or function used in Python:\n", + "\n", + "*Definitions*\n", + "\n", + "A. Creates multiple subplots (or \"facets\") according to a categorical variable in the data. \n", + "\n", + "B. Connects data points with a line which facilitates seeing trends over time.\n", + "\n", + "C. Colors graphical marks based on a particular variable in the data.\n", + "\n", + "D. This encoding varies data points by shape based on a variable in the data.\n", + "\n", + "E. Labels the y-axis. \n", + "\n", + "\n", + "*Encodings and Functions*\n", + "\n", + "1. `color`\n", + "2. `facet()`\n", + "3. `mark_line()`\n", + "4. `alt.Y().title(\"...\")`\n", + "5. `shape`\n", + "\n", + "_For every description, create an object using the letter associated with the definition and assign it to the corresponding number from the list above. For example: `B = 1`_" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "deletable": false, + "nbgrader": { + "cell_type": "code", + "checksum": "66df83b9a94a2c87a321bf0bd3642c85", + "grade": false, + "grade_id": "cell-b22b3db664eb1abc", + "locked": false, + "schema_version": 3, + "solution": true + } + }, + "outputs": [], + "source": [ + "# your code here\n", + "raise NotImplementedError" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "deletable": false, + "editable": false, + "nbgrader": { + "cell_type": "code", + "checksum": "c24deb50b514e86e8fdf43e12627fbf2", + "grade": true, + "grade_id": "cell-471b37b1ecc45a3a", + "locked": true, + "points": 1, + "schema_version": 3, + "solution": false + } + }, + "outputs": [], + "source": [ + "from hashlib import sha1\n", + "assert sha1(str(type(A)).encode(\"utf-8\")+b\"2fff8\").hexdigest() == \"3cf2797019a970975c0b9e78a8b07304d2a281fa\", \"type of A is not int. Please make sure it is int and not np.int64, etc. You can cast your value into an int using int()\"\n", + "assert sha1(str(A).encode(\"utf-8\")+b\"2fff8\").hexdigest() == \"1ef96ff0480bd7ebc7252d1480959e4e8eda19e2\", \"value of A is not correct\"\n", + "\n", + "assert sha1(str(type(B)).encode(\"utf-8\")+b\"2fff9\").hexdigest() == \"c3fcdddf7b45274a27b7725a453ef3555d31a101\", \"type of B is not int. Please make sure it is int and not np.int64, etc. You can cast your value into an int using int()\"\n", + "assert sha1(str(B).encode(\"utf-8\")+b\"2fff9\").hexdigest() == \"850b95741634320cfdc1cbc7b5e757a3b03e059c\", \"value of B is not correct\"\n", + "\n", + "assert sha1(str(type(C)).encode(\"utf-8\")+b\"2fffa\").hexdigest() == \"0f070d036896abeed24a95c2b15672a48bf7aa84\", \"type of C is not int. Please make sure it is int and not np.int64, etc. You can cast your value into an int using int()\"\n", + "assert sha1(str(C).encode(\"utf-8\")+b\"2fffa\").hexdigest() == \"91f5c9f56d2ab4c91977c4db1ff6680228e07dbb\", \"value of C is not correct\"\n", + "\n", + "assert sha1(str(type(D)).encode(\"utf-8\")+b\"2fffb\").hexdigest() == \"3bed34b3560b6acf2e5b8819ae4645ad1975c4ab\", \"type of D is not int. Please make sure it is int and not np.int64, etc. You can cast your value into an int using int()\"\n", + "assert sha1(str(D).encode(\"utf-8\")+b\"2fffb\").hexdigest() == \"021e49701a21de802937a347d5222ad0b28fab80\", \"value of D is not correct\"\n", + "\n", + "assert sha1(str(type(E)).encode(\"utf-8\")+b\"2fffc\").hexdigest() == \"5e7bdd36d327347b9eb0eb91f87b26bc6335c7eb\", \"type of E is not int. Please make sure it is int and not np.int64, etc. You can cast your value into an int using int()\"\n", + "assert sha1(str(E).encode(\"utf-8\")+b\"2fffc\").hexdigest() == \"12d2115885fb3d25cf657a2008ec5df67aed749f\", \"value of E is not correct\"\n", + "\n", + "print('Success!')" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "deletable": false, + "editable": false, + "nbgrader": { + "cell_type": "markdown", + "checksum": "4240e4674c57aca003052d6ca7cbfcaa", + "grade": false, + "grade_id": "cell-7b8ea6ab55690b06", + "locked": true, + "schema_version": 3, + "solution": false, + "task": false + } + }, + "source": [ + "**Question 0.2** True or False:\n", + "
{points: 1}\n", + "\n", + "We should save a plot as an `.svg` file if we want to be able to rescale it without losing quality.\n", + "\n", + "*Assign your answer to an object called `answer0_2`. Make sure your answer is either `True` or `False`.*" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "deletable": false, + "nbgrader": { + "cell_type": "code", + "checksum": "a4a72e07404123a05f2bd30510b4ef8c", + "grade": false, + "grade_id": "cell-8608b643ace9768c", + "locked": false, + "schema_version": 3, + "solution": true, + "task": false + } + }, + "outputs": [], + "source": [ + "# your code here\n", + "raise NotImplementedError" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "deletable": false, + "editable": false, + "nbgrader": { + "cell_type": "code", + "checksum": "960e20b469b1255b435ecccd860904d1", + "grade": true, + "grade_id": "cell-dd04803a3b061830", + "locked": true, + "points": 1, + "schema_version": 3, + "solution": false, + "task": false + } + }, + "outputs": [], + "source": [ + "from hashlib import sha1\n", + "assert sha1(str(type(answer0_2)).encode(\"utf-8\")+b\"b9cdb\").hexdigest() == \"c1a14e26e0620ad97d9304575779d7160f258ef4\", \"type of answer0_2 is not bool. answer0_2 should be a bool\"\n", + "assert sha1(str(answer0_2).encode(\"utf-8\")+b\"b9cdb\").hexdigest() == \"4fdc4832d144addb42fef1704c9dbccbe858e7ae\", \"boolean value of answer0_2 is not correct\"\n", + "\n", + "print('Success!')" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "deletable": false, + "editable": false, + "nbgrader": { + "cell_type": "markdown", + "checksum": "579d71c7c2f2db49357980fca0fd72aa", + "grade": false, + "grade_id": "cell-b38e048867240520", + "locked": true, + "schema_version": 3, + "solution": false, + "task": false + } + }, + "source": [ + "## 1. Data on Personal Medical Costs \n", + "\n", + "As we saw in the worksheet, data scientists work in all types of organizations and with all kinds of problems. One of these types of organizations are companies in the private sector that work with health data. Today we will be looking at data on personal medical costs. There are varying factors that affect health and consequently medical costs. Our goal for today is to determine how variables are related to the medical costs billed by health insurance companies. \n", + "\n", + "\n", + "To analyze this, we will be looking at a dataset that includes the following columns:\n", + "\n", + "* `age`: age of primary beneficiary\n", + "* `sex`: insurance contractor gender: female, male\n", + "* `bmi`: body mass index, providing an understanding of body, weights that are relatively high or low relative to height, objective index of body weight (kg/$m^{2}$) using the ratio of height to weight, ideally 18.5 to 24.9\n", + "* `children`: number of children covered by health insurance / number of dependents\n", + "* `smoker`: smoking\n", + "* `region`: the beneficiary's residential area in the US: northeast, southeast, southwest, northwest.\n", + "* `charges`: individual medical costs billed by health insurance\n", + "\n", + "*This dataset, was taken from the [collection of Data Sets](https://github.com/stedy/Machine-Learning-with-R-datasets) created and curated for the [Machine Learning with R](https://www.packtpub.com/big-data-and-business-intelligence/machine-learning-r) book by Brett Lantz.*" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "deletable": false, + "editable": false, + "nbgrader": { + "cell_type": "markdown", + "checksum": "6ad9715d8961dac0770f6fd55f0fe141", + "grade": false, + "grade_id": "cell-c5c6d19c1567adf8", + "locked": true, + "schema_version": 3, + "solution": false + } + }, + "source": [ + "**Question 1.1** Yes or No: \n", + "
{points: 1}\n", + "\n", + "Based on the information given in the cell above, do you think the column `charges` includes quantitative/numerical data? \n", + "\n", + "*Assign your answer to an object called `answer1_1`. Make sure your answer is written in lowercase and is surrounded by quotation marks (e.g. `\"yes\"` or `\"no\"`).*" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "deletable": false, + "nbgrader": { + "cell_type": "code", + "checksum": "58b85af8c197667fb60613c43be41907", + "grade": false, + "grade_id": "cell-8da0d830fc8f8b0c", + "locked": false, + "schema_version": 3, + "solution": true + } + }, + "outputs": [], + "source": [ + "# your code here\n", + "raise NotImplementedError" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "deletable": false, + "editable": false, + "nbgrader": { + "cell_type": "code", + "checksum": "0abce67b55108187aa6c34611560ec8c", + "grade": true, + "grade_id": "cell-37a00841b56391ad", + "locked": true, + "points": 1, + "schema_version": 3, + "solution": false + } + }, + "outputs": [], + "source": [ + "from hashlib import sha1\n", + "assert sha1(str(type(answer1_1)).encode(\"utf-8\")+b\"678f2\").hexdigest() == \"4959f65d861fe73fc28048598b050dd992dace50\", \"type of answer1_1 is not str. answer1_1 should be an str\"\n", + "assert sha1(str(len(answer1_1)).encode(\"utf-8\")+b\"678f2\").hexdigest() == \"e6d6de58a5553dab314352e9039d6369703bf71d\", \"length of answer1_1 is not correct\"\n", + "assert sha1(str(answer1_1.lower()).encode(\"utf-8\")+b\"678f2\").hexdigest() == \"fef55431241493e87811c5ab7d723fb48efe52e2\", \"value of answer1_1 is not correct\"\n", + "assert sha1(str(answer1_1).encode(\"utf-8\")+b\"678f2\").hexdigest() == \"fef55431241493e87811c5ab7d723fb48efe52e2\", \"correct string value of answer1_1 but incorrect case of letters\"\n", + "\n", + "print('Success!')" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "deletable": false, + "editable": false, + "nbgrader": { + "cell_type": "markdown", + "checksum": "36137bffb0c9d1f4b6ca76b8ef09cb86", + "grade": false, + "grade_id": "cell-4325b0202bdfb877", + "locked": true, + "schema_version": 3, + "solution": false + } + }, + "source": [ + "**Question 1.2** Multiple Choice:\n", + "
{points: 1}\n", + "\n", + "Assuming overplotting is not an issue, which plot would be the most effective to compare the relationship of `age` and `charges`?\n", + "\n", + "A. Scatterplot \n", + "\n", + "B. Stacked Bar Plot \n", + "\n", + "C. Bar Plot \n", + "\n", + "*Assign your answer to an object called `answer1_2`. Make sure your answer is an uppercase letter and is surrounded by quotation marks (e.g. `\"F\"`).*" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "deletable": false, + "nbgrader": { + "cell_type": "code", + "checksum": "6eff534fb24cb70fe4edc042a41d3da1", + "grade": false, + "grade_id": "cell-776947ebfdd46a40", + "locked": false, + "schema_version": 3, + "solution": true + } + }, + "outputs": [], + "source": [ + "# your code here\n", + "raise NotImplementedError" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "deletable": false, + "editable": false, + "nbgrader": { + "cell_type": "code", + "checksum": "3e218acdad0274f4189e2891252dbb8e", + "grade": true, + "grade_id": "cell-d344b7c03dae8345", + "locked": true, + "points": 1, + "schema_version": 3, + "solution": false + } + }, + "outputs": [], + "source": [ + "from hashlib import sha1\n", + "assert sha1(str(type(answer1_2)).encode(\"utf-8\")+b\"b01e4\").hexdigest() == \"3c9412f874ef42c2aa7fc1cfe82e83b791289e6d\", \"type of answer1_2 is not str. answer1_2 should be an str\"\n", + "assert sha1(str(len(answer1_2)).encode(\"utf-8\")+b\"b01e4\").hexdigest() == \"cfb76c7e547605333d2af0aac4faea9a8f49ef06\", \"length of answer1_2 is not correct\"\n", + "assert sha1(str(answer1_2.lower()).encode(\"utf-8\")+b\"b01e4\").hexdigest() == \"bd10f1af1d3d8938a93a8c525d3cc6ed24cf5184\", \"value of answer1_2 is not correct\"\n", + "assert sha1(str(answer1_2).encode(\"utf-8\")+b\"b01e4\").hexdigest() == \"3e950333ccfb4011b417123c70daadf45728bb03\", \"correct string value of answer1_2 but incorrect case of letters\"\n", + "\n", + "print('Success!')" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "deletable": false, + "editable": false, + "nbgrader": { + "cell_type": "markdown", + "checksum": "b2d679fac78186cd8470312464230f75", + "grade": false, + "grade_id": "cell-ab7e6749d3d47397", + "locked": true, + "schema_version": 3, + "solution": false + } + }, + "source": [ + "**Question 1.3**\n", + "
{points: 1}\n", + "\n", + "Read the `insurance.csv` file in the `data` folder. \n", + "\n", + "*Assign your answer to an object called `insurance`.*" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "deletable": false, + "nbgrader": { + "cell_type": "code", + "checksum": "c40332d0db2098cedd6ce8bd0f2cf2c6", + "grade": false, + "grade_id": "cell-ace20e7d125da6cc", + "locked": false, + "schema_version": 3, + "solution": true + } + }, + "outputs": [], + "source": [ + "# your code here\n", + "raise NotImplementedError\n", + "insurance" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "deletable": false, + "editable": false, + "nbgrader": { + "cell_type": "code", + "checksum": "55072590929c64ac6e4ee502e9e9cb17", + "grade": true, + "grade_id": "cell-662935f6d4ccb428", + "locked": true, + "points": 1, + "schema_version": 3, + "solution": false + } + }, + "outputs": [], + "source": [ + "from hashlib import sha1\n", + "assert sha1(str(type(insurance is None)).encode(\"utf-8\")+b\"eaa92\").hexdigest() == \"a46bef20ff661b158c859b94b242bca573ec682b\", \"type of insurance is None is not bool. insurance is None should be a bool\"\n", + "assert sha1(str(insurance is None).encode(\"utf-8\")+b\"eaa92\").hexdigest() == \"972b6069c86580fbdab49b0ea7de0db003f4d366\", \"boolean value of insurance is None is not correct\"\n", + "\n", + "assert sha1(str(type(insurance)).encode(\"utf-8\")+b\"eaa93\").hexdigest() == \"664ae69e7045a753c12a60b9e51bddf6ec16fc24\", \"type of type(insurance) is not correct\"\n", + "\n", + "assert sha1(str(type(insurance.shape)).encode(\"utf-8\")+b\"eaa94\").hexdigest() == \"1759998d95f71f1d3a8a5dfd1ffe605cd2cac10c\", \"type of insurance.shape is not tuple. insurance.shape should be a tuple\"\n", + "assert sha1(str(len(insurance.shape)).encode(\"utf-8\")+b\"eaa94\").hexdigest() == \"386d1a62add2a10e46d65bfec4e4e5ef92252695\", \"length of insurance.shape is not correct\"\n", + "assert sha1(str(sorted(map(str, insurance.shape))).encode(\"utf-8\")+b\"eaa94\").hexdigest() == \"891e50106b98456481fb4abae73fbc96b6832755\", \"values of insurance.shape are not correct\"\n", + "assert sha1(str(insurance.shape).encode(\"utf-8\")+b\"eaa94\").hexdigest() == \"c14fb1b524d89f85e0d6a03a423569b726c075a4\", \"order of elements of insurance.shape is not correct\"\n", + "\n", + "assert sha1(str(type(round(sum(insurance.age), 2))).encode(\"utf-8\")+b\"eaa95\").hexdigest() == \"cfa6511142ce53277e326f529badbc4cd7a54df5\", \"type of round(sum(insurance.age), 2) is not int. Please make sure it is int and not np.int64, etc. You can cast your value into an int using int()\"\n", + "assert sha1(str(round(sum(insurance.age), 2)).encode(\"utf-8\")+b\"eaa95\").hexdigest() == \"ec04bc8e7210856a9edc5596d6e71d4beb99fb60\", \"value of round(sum(insurance.age), 2) is not correct\"\n", + "\n", + "assert sha1(str(type(len(insurance.region.unique()))).encode(\"utf-8\")+b\"eaa96\").hexdigest() == \"33e908f193cf0a8b4a0cc2ef375bcebb381d1ad6\", \"type of len(insurance.region.unique()) is not int. Please make sure it is int and not np.int64, etc. You can cast your value into an int using int()\"\n", + "assert sha1(str(len(insurance.region.unique())).encode(\"utf-8\")+b\"eaa96\").hexdigest() == \"63bd292673c1eef97acd9b1311d8ee1ff7a05985\", \"value of len(insurance.region.unique()) is not correct\"\n", + "\n", + "print('Success!')" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "deletable": false, + "editable": false, + "nbgrader": { + "cell_type": "markdown", + "checksum": "036066f2f490244427fddb8dddeb8565", + "grade": false, + "grade_id": "cell-8c60df934c35dd9a", + "locked": true, + "schema_version": 3, + "solution": false + } + }, + "source": [ + "**Question 1.4** \n", + "
{points: 3}\n", + "\n", + "Looking over the excerpt of loaded data shown above, what initial observations can you make about the relationship between medical charges and age? How about medical charges and BMI? Finally, what about medical charges and smoking? \n", + "\n", + "Also, comment on whether our observations might change if we visualize the data? And/or whether visualizing the data might allow us to more easily make observations about the relationships in the data as opposed to trying to make them directly from the data table?\n", + "\n", + "Answer in the cell below." + ] + }, + { + "cell_type": "markdown", + "metadata": { + "deletable": false, + "nbgrader": { + "cell_type": "markdown", + "checksum": "461e90160ad679e460221e1c3128100f", + "grade": true, + "grade_id": "cell-62d184813aadd4b3", + "locked": false, + "points": 3, + "schema_version": 3, + "solution": true + } + }, + "source": [ + "DOUBLE CLICK TO EDIT **THIS CELL** AND REPLACE THIS TEXT WITH YOUR ANSWER." + ] + }, + { + "cell_type": "markdown", + "metadata": { + "deletable": false, + "editable": false, + "nbgrader": { + "cell_type": "markdown", + "checksum": "c248aaa1bf0654a4c50aea09dbcee500", + "grade": false, + "grade_id": "cell-865d9fd68151c0a0", + "locked": true, + "schema_version": 3, + "solution": false + } + }, + "source": [ + "**Question 1.5**\n", + "
{points: 1}\n", + "\n", + "According to the National Heart, Lung and Blood Institute of the US: \"The higher your BMI, the higher your risk for certain diseases such as heart disease, high blood pressure, type 2 diabetes, gallstones, breathing problems, and certain cancers\". \n", + "\n", + "Based on this information, we can hypothesize that individuals with a higher BMI are likely to have more medical costs. Let's use our data and see if this holds true. Create a scatter plot of `charges` (y-axis) versus `bmi` (x-axis).\n", + "\n", + "In the scaffolding we provide below, ensure that you set `opacity` to 0.3. `opacity` sets the transparency of points on a scatter plot, and increasing transparency (reducing opacity) one strategy to deal with over-plotting issues.\n", + "\n", + "*Assign your answer to an object called `bmi_plot`. Make sure to label your axes appropriately.*" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "deletable": false, + "nbgrader": { + "cell_type": "code", + "checksum": "502ddda848451cd6ca63e0fd7cdcb532", + "grade": false, + "grade_id": "cell-fa480888e071a7ee", + "locked": false, + "schema_version": 3, + "solution": true + } + }, + "outputs": [], + "source": [ + "# ___ = alt.Chart(\n", + "# insurance,\n", + "# title=___ # Set the title for the entire plot\n", + "# ).mark_point(opacity=___).encode(\n", + "# x=alt.X(___)\n", + "# .___(___)\n", + "# .scale(zero=False),\n", + "# y=alt.Y(___).___(___)\n", + "# )\n", + "\n", + "# your code here\n", + "raise NotImplementedError\n", + "bmi_plot" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "deletable": false, + "editable": false, + "nbgrader": { + "cell_type": "code", + "checksum": "88894aea20718f40011143494bbd2fc7", + "grade": true, + "grade_id": "cell-b6e79c0645925ade", + "locked": true, + "points": 1, + "schema_version": 3, + "solution": false + } + }, + "outputs": [], + "source": [ + "from hashlib import sha1\n", + "assert sha1(str(type(bmi_plot is None)).encode(\"utf-8\")+b\"472ae\").hexdigest() == \"1193d6e28acd3d7bdd9fb79cf436b3202175c987\", \"type of bmi_plot is None is not bool. bmi_plot is None should be a bool\"\n", + "assert sha1(str(bmi_plot is None).encode(\"utf-8\")+b\"472ae\").hexdigest() == \"bb865e5e89d954ce2bce84d8ca122a2500e2100f\", \"boolean value of bmi_plot is None is not correct\"\n", + "\n", + "assert sha1(str(type(bmi_plot.encoding.x['shorthand'])).encode(\"utf-8\")+b\"472af\").hexdigest() == \"033c9c378005e993b94d4b4d5ff83eaf5f0fb7b3\", \"type of bmi_plot.encoding.x['shorthand'] is not str. bmi_plot.encoding.x['shorthand'] should be an str\"\n", + "assert sha1(str(len(bmi_plot.encoding.x['shorthand'])).encode(\"utf-8\")+b\"472af\").hexdigest() == \"4d5afa3748afb4c7d576a3bf25c6c8cd435e30a6\", \"length of bmi_plot.encoding.x['shorthand'] is not correct\"\n", + "assert sha1(str(bmi_plot.encoding.x['shorthand'].lower()).encode(\"utf-8\")+b\"472af\").hexdigest() == \"ec9ee9185d778042fb3d534ffde57d6edd72909c\", \"value of bmi_plot.encoding.x['shorthand'] is not correct\"\n", + "assert sha1(str(bmi_plot.encoding.x['shorthand']).encode(\"utf-8\")+b\"472af\").hexdigest() == \"ec9ee9185d778042fb3d534ffde57d6edd72909c\", \"correct string value of bmi_plot.encoding.x['shorthand'] but incorrect case of letters\"\n", + "\n", + "assert sha1(str(type(bmi_plot.encoding.y['shorthand'])).encode(\"utf-8\")+b\"472b0\").hexdigest() == \"caedcdf77662a3f09655c358a0c07a6fb066b672\", \"type of bmi_plot.encoding.y['shorthand'] is not str. bmi_plot.encoding.y['shorthand'] should be an str\"\n", + "assert sha1(str(len(bmi_plot.encoding.y['shorthand'])).encode(\"utf-8\")+b\"472b0\").hexdigest() == \"e2a65ce822ad139fb5a25263adfd107f04afb203\", \"length of bmi_plot.encoding.y['shorthand'] is not correct\"\n", + "assert sha1(str(bmi_plot.encoding.y['shorthand'].lower()).encode(\"utf-8\")+b\"472b0\").hexdigest() == \"ee36fc007e7ab4f2f854a182b05520f886cd578c\", \"value of bmi_plot.encoding.y['shorthand'] is not correct\"\n", + "assert sha1(str(bmi_plot.encoding.y['shorthand']).encode(\"utf-8\")+b\"472b0\").hexdigest() == \"ee36fc007e7ab4f2f854a182b05520f886cd578c\", \"correct string value of bmi_plot.encoding.y['shorthand'] but incorrect case of letters\"\n", + "\n", + "assert sha1(str(type(bmi_plot.mark)).encode(\"utf-8\")+b\"472b1\").hexdigest() == \"09badd2c8fc9cf48f407fcf156460d46ec6a1c6c\", \"type of bmi_plot.mark is not correct\"\n", + "assert sha1(str(bmi_plot.mark).encode(\"utf-8\")+b\"472b1\").hexdigest() == \"741424a3397894fd12fdd3edfc3ca92c672928d8\", \"value of bmi_plot.mark is not correct\"\n", + "\n", + "assert sha1(str(type(isinstance(bmi_plot.encoding.x['title'], str))).encode(\"utf-8\")+b\"472b2\").hexdigest() == \"6722f5f88507506a4577baf96c2afb5c72cbd2fe\", \"type of isinstance(bmi_plot.encoding.x['title'], str) is not bool. isinstance(bmi_plot.encoding.x['title'], str) should be a bool\"\n", + "assert sha1(str(isinstance(bmi_plot.encoding.x['title'], str)).encode(\"utf-8\")+b\"472b2\").hexdigest() == \"068b96cae34378e8badaa36a1cac0d2cb0fb89aa\", \"boolean value of isinstance(bmi_plot.encoding.x['title'], str) is not correct\"\n", + "\n", + "assert sha1(str(type(isinstance(bmi_plot.encoding.y['title'], str))).encode(\"utf-8\")+b\"472b3\").hexdigest() == \"97f0eefc70f11efea8f9fbcf91d1cc37a00069cc\", \"type of isinstance(bmi_plot.encoding.y['title'], str) is not bool. isinstance(bmi_plot.encoding.y['title'], str) should be a bool\"\n", + "assert sha1(str(isinstance(bmi_plot.encoding.y['title'], str)).encode(\"utf-8\")+b\"472b3\").hexdigest() == \"e86548285752d265d3835ee5ddb44b2b7b68b976\", \"boolean value of isinstance(bmi_plot.encoding.y['title'], str) is not correct\"\n", + "\n", + "print('Success!')" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "deletable": false, + "editable": false, + "nbgrader": { + "cell_type": "markdown", + "checksum": "9af33bf4ee59c56bf62df4df44072a75", + "grade": false, + "grade_id": "cell-128a1023c3d0bc57", + "locked": true, + "schema_version": 3, + "solution": false + } + }, + "source": [ + "**Question 1.6**\n", + "
{points: 3}\n", + "\n", + "Analysis: Comment on the effectiveness of the plot. Take into consideration the rules of thumb discussed in lecture. Also comment on what could be improved for this plot and also what is done correctly. \n", + "\n", + "Answer in the cell below." + ] + }, + { + "cell_type": "markdown", + "metadata": { + "deletable": false, + "nbgrader": { + "cell_type": "markdown", + "checksum": "9b2daa8b91edbccdb89ea0adecd51245", + "grade": true, + "grade_id": "cell-a3673af9bcf8288b", + "locked": false, + "points": 3, + "schema_version": 3, + "solution": true + } + }, + "source": [ + "DOUBLE CLICK TO EDIT **THIS CELL** AND REPLACE THIS TEXT WITH YOUR ANSWER." + ] + }, + { + "cell_type": "markdown", + "metadata": { + "deletable": false, + "editable": false, + "nbgrader": { + "cell_type": "markdown", + "checksum": "feb9a1519eb25c8c86cc1c324d16d22d", + "grade": false, + "grade_id": "cell-9a854e3ee84b2fe0", + "locked": true, + "schema_version": 3, + "solution": false + } + }, + "source": [ + "**Question 1.7**\n", + "
{points: 3}\n", + "\n", + "Analysis: What do you observe from the scatter plot? Do the data suggest that there might be evidence of a relationship between BMI and medical costs of individuals? \n", + "From this plot alone, can we say higher BMI causes higher medical charges? Why or why not? \n", + "\n", + "Answer in the cell below. " + ] + }, + { + "cell_type": "markdown", + "metadata": { + "deletable": false, + "nbgrader": { + "cell_type": "markdown", + "checksum": "fe3c8775d82b1cccd32d0a856917600b", + "grade": true, + "grade_id": "cell-93c1d5cb7d1bcbea", + "locked": false, + "points": 3, + "schema_version": 3, + "solution": true + } + }, + "source": [ + "DOUBLE CLICK TO EDIT **THIS CELL** AND REPLACE THIS TEXT WITH YOUR ANSWER." + ] + }, + { + "cell_type": "markdown", + "metadata": { + "deletable": false, + "editable": false, + "nbgrader": { + "cell_type": "markdown", + "checksum": "916d5d1fac7dab83f1e108fcf6ff2ede", + "grade": false, + "grade_id": "cell-8e216e802a268da5", + "locked": true, + "schema_version": 3, + "solution": false + } + }, + "source": [ + "**Question 1.8**\n", + "
{points: 3}\n", + "\n", + "Again, based on information from the National Heart, Lung and Blood Institute of the US, smoking cigarettes is said to be a risk factor for obesity. Create the same plot as you did in **Question 1.5** but this time add the `color` encoding to observe if smoking might affect the body mass of individuals. Keep `opacity = 0.4` to make the scatter points transparent.\n", + "\n", + "*Assign your answer to an object called `smoke_plot`. Make sure to label your axes and the legend appropriately.*" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "deletable": false, + "nbgrader": { + "cell_type": "code", + "checksum": "053774fdc7324c213b192c42c6338730", + "grade": false, + "grade_id": "cell-2128ed1aa06e5391", + "locked": false, + "schema_version": 3, + "solution": true, + "task": false + } + }, + "outputs": [], + "source": [ + "# your code here\n", + "raise NotImplementedError\n", + "smoke_plot" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "deletable": false, + "editable": false, + "nbgrader": { + "cell_type": "code", + "checksum": "838ec9da3c00e362acabfb10dfcd6ba5", + "grade": true, + "grade_id": "cell-a5dc720f9e5813bd", + "locked": true, + "points": 3, + "schema_version": 3, + "solution": false, + "task": false + } + }, + "outputs": [], + "source": [ + "from hashlib import sha1\n", + "assert sha1(str(type(smoke_plot is None)).encode(\"utf-8\")+b\"a1d0e\").hexdigest() == \"5d2729256924d973ded6e6c1e1590736ca5f7c13\", \"type of smoke_plot is None is not bool. smoke_plot is None should be a bool\"\n", + "assert sha1(str(smoke_plot is None).encode(\"utf-8\")+b\"a1d0e\").hexdigest() == \"3c602b9285a9b032e6f0799db94eee0318c5939c\", \"boolean value of smoke_plot is None is not correct\"\n", + "\n", + "assert sha1(str(type(smoke_plot.mark)).encode(\"utf-8\")+b\"a1d0f\").hexdigest() == \"632ec55be177ce1b1d81b8fa663a4d1a10eb29f0\", \"type of smoke_plot.mark is not correct\"\n", + "assert sha1(str(smoke_plot.mark).encode(\"utf-8\")+b\"a1d0f\").hexdigest() == \"356c4d024752333c8f782e6f29ae4442d56a294a\", \"value of smoke_plot.mark is not correct\"\n", + "\n", + "assert sha1(str(type(smoke_plot.encoding.x['shorthand'])).encode(\"utf-8\")+b\"a1d10\").hexdigest() == \"cf2620faaaadb4567c45c64fd5d8926804584673\", \"type of smoke_plot.encoding.x['shorthand'] is not str. smoke_plot.encoding.x['shorthand'] should be an str\"\n", + "assert sha1(str(len(smoke_plot.encoding.x['shorthand'])).encode(\"utf-8\")+b\"a1d10\").hexdigest() == \"243f3bd290a3cc0cf71c746a0a50f9a8a4680870\", \"length of smoke_plot.encoding.x['shorthand'] is not correct\"\n", + "assert sha1(str(smoke_plot.encoding.x['shorthand'].lower()).encode(\"utf-8\")+b\"a1d10\").hexdigest() == \"2bf931ac6d652813c22ba6d7b709cfe96698d3ea\", \"value of smoke_plot.encoding.x['shorthand'] is not correct\"\n", + "assert sha1(str(smoke_plot.encoding.x['shorthand']).encode(\"utf-8\")+b\"a1d10\").hexdigest() == \"2bf931ac6d652813c22ba6d7b709cfe96698d3ea\", \"correct string value of smoke_plot.encoding.x['shorthand'] but incorrect case of letters\"\n", + "\n", + "assert sha1(str(type(smoke_plot.encoding.y['shorthand'])).encode(\"utf-8\")+b\"a1d11\").hexdigest() == \"09572e6399428ff4183d0376bc008f3b135aa932\", \"type of smoke_plot.encoding.y['shorthand'] is not str. smoke_plot.encoding.y['shorthand'] should be an str\"\n", + "assert sha1(str(len(smoke_plot.encoding.y['shorthand'])).encode(\"utf-8\")+b\"a1d11\").hexdigest() == \"71a5d754863484cc75c16b2b327025552e7726e1\", \"length of smoke_plot.encoding.y['shorthand'] is not correct\"\n", + "assert sha1(str(smoke_plot.encoding.y['shorthand'].lower()).encode(\"utf-8\")+b\"a1d11\").hexdigest() == \"ac89f7221894bb7edf111d4bcdb15322ce667667\", \"value of smoke_plot.encoding.y['shorthand'] is not correct\"\n", + "assert sha1(str(smoke_plot.encoding.y['shorthand']).encode(\"utf-8\")+b\"a1d11\").hexdigest() == \"ac89f7221894bb7edf111d4bcdb15322ce667667\", \"correct string value of smoke_plot.encoding.y['shorthand'] but incorrect case of letters\"\n", + "\n", + "assert sha1(str(type(smoke_plot.encoding.color['shorthand'])).encode(\"utf-8\")+b\"a1d12\").hexdigest() == \"5e146436c95c3be0c0b5891dba8fa3915c86ad72\", \"type of smoke_plot.encoding.color['shorthand'] is not str. smoke_plot.encoding.color['shorthand'] should be an str\"\n", + "assert sha1(str(len(smoke_plot.encoding.color['shorthand'])).encode(\"utf-8\")+b\"a1d12\").hexdigest() == \"410d10639964c884ed8546f208184ca298f414df\", \"length of smoke_plot.encoding.color['shorthand'] is not correct\"\n", + "assert sha1(str(smoke_plot.encoding.color['shorthand'].lower()).encode(\"utf-8\")+b\"a1d12\").hexdigest() == \"aaa8ea7f22cfe19d2d5c4963a7f1d43057ddac88\", \"value of smoke_plot.encoding.color['shorthand'] is not correct\"\n", + "assert sha1(str(smoke_plot.encoding.color['shorthand']).encode(\"utf-8\")+b\"a1d12\").hexdigest() == \"aaa8ea7f22cfe19d2d5c4963a7f1d43057ddac88\", \"correct string value of smoke_plot.encoding.color['shorthand'] but incorrect case of letters\"\n", + "\n", + "assert sha1(str(type(isinstance(smoke_plot.encoding.x['title'], str))).encode(\"utf-8\")+b\"a1d13\").hexdigest() == \"e363de156d5cd8b7b23cf84c70fe0f89ca8d37a2\", \"type of isinstance(smoke_plot.encoding.x['title'], str) is not bool. isinstance(smoke_plot.encoding.x['title'], str) should be a bool\"\n", + "assert sha1(str(isinstance(smoke_plot.encoding.x['title'], str)).encode(\"utf-8\")+b\"a1d13\").hexdigest() == \"9712a542b912cdffee876ae2cbcf02af75879895\", \"boolean value of isinstance(smoke_plot.encoding.x['title'], str) is not correct\"\n", + "\n", + "assert sha1(str(type(isinstance(smoke_plot.encoding.y['title'], str))).encode(\"utf-8\")+b\"a1d14\").hexdigest() == \"7a5fc118c48fa58af7a92e7988d8582121842046\", \"type of isinstance(smoke_plot.encoding.y['title'], str) is not bool. isinstance(smoke_plot.encoding.y['title'], str) should be a bool\"\n", + "assert sha1(str(isinstance(smoke_plot.encoding.y['title'], str)).encode(\"utf-8\")+b\"a1d14\").hexdigest() == \"8bcc6e5b50c7796e4e6a65a604595a2f7fc94b24\", \"boolean value of isinstance(smoke_plot.encoding.y['title'], str) is not correct\"\n", + "\n", + "assert sha1(str(type(isinstance(smoke_plot.encoding.color['title'], str))).encode(\"utf-8\")+b\"a1d15\").hexdigest() == \"730fa2e1e008b8ef8497cebf60771335d691594f\", \"type of isinstance(smoke_plot.encoding.color['title'], str) is not bool. isinstance(smoke_plot.encoding.color['title'], str) should be a bool\"\n", + "assert sha1(str(isinstance(smoke_plot.encoding.color['title'], str)).encode(\"utf-8\")+b\"a1d15\").hexdigest() == \"bb9d1e886cf70630ac5d04a05f8f4342256ebba7\", \"boolean value of isinstance(smoke_plot.encoding.color['title'], str) is not correct\"\n", + "\n", + "print('Success!')" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "deletable": false, + "editable": false, + "nbgrader": { + "cell_type": "markdown", + "checksum": "9687eb53e9e56831a6ca975b6ac3e2f9", + "grade": false, + "grade_id": "cell-4cbc5d12976da647", + "locked": true, + "schema_version": 3, + "solution": false + } + }, + "source": [ + "**Question 1.9.0** (Analyzing the Graph) True or False: \n", + "
{points: 1}\n", + "\n", + "Smokers generally have a lower BMI than non-smokers. \n", + "\n", + "*Assign your answer to an object called `answer1_9_0`. Make sure your answer is either `True` or `False`.*" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "deletable": false, + "nbgrader": { + "cell_type": "code", + "checksum": "ca35652fff3cb5d09e46b0976b9c159f", + "grade": false, + "grade_id": "cell-4302d377b0fc06e3", + "locked": false, + "schema_version": 3, + "solution": true + } + }, + "outputs": [], + "source": [ + "# your code here\n", + "raise NotImplementedError" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "deletable": false, + "editable": false, + "nbgrader": { + "cell_type": "code", + "checksum": "89cf7ab4ce629ace21c2d469320a11fd", + "grade": true, + "grade_id": "cell-9d85f368775a121b", + "locked": true, + "points": 1, + "schema_version": 3, + "solution": false + } + }, + "outputs": [], + "source": [ + "from hashlib import sha1\n", + "assert sha1(str(type(answer1_9_0)).encode(\"utf-8\")+b\"64932\").hexdigest() == \"cc281831448f8b8aa80cb5d7c3baf3b17172a353\", \"type of answer1_9_0 is not bool. answer1_9_0 should be a bool\"\n", + "assert sha1(str(answer1_9_0).encode(\"utf-8\")+b\"64932\").hexdigest() == \"75278ad1e5b66059430b17d670a4b182671abf11\", \"boolean value of answer1_9_0 is not correct\"\n", + "\n", + "print('Success!')" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "deletable": false, + "editable": false, + "nbgrader": { + "cell_type": "markdown", + "checksum": "0a877743e5978eb5612392b81c6d74f2", + "grade": false, + "grade_id": "cell-9548b0b41e3b4700", + "locked": true, + "schema_version": 3, + "solution": false + } + }, + "source": [ + "**Question 1.9.1** (Analyzing the Graph) True or False: \n", + "
{points: 1}\n", + "\n", + "Smokers generally have higher medical charges than non-smokers.\n", + "\n", + "*Assign your answer to an object called `answer1_9_1`.Make sure your answer is either `True` or `False`.*" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "deletable": false, + "nbgrader": { + "cell_type": "code", + "checksum": "bbc85d9bca6cf15a7aab41acbe32aeec", + "grade": false, + "grade_id": "cell-b9f9c54000889b5c", + "locked": false, + "schema_version": 3, + "solution": true + } + }, + "outputs": [], + "source": [ + "# your code here\n", + "raise NotImplementedError" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "deletable": false, + "editable": false, + "nbgrader": { + "cell_type": "code", + "checksum": "1065412630fad3516bb07f4c2fb7c50c", + "grade": true, + "grade_id": "cell-b82577eedde24cb1", + "locked": true, + "points": 1, + "schema_version": 3, + "solution": false + } + }, + "outputs": [], + "source": [ + "from hashlib import sha1\n", + "assert sha1(str(type(answer1_9_1)).encode(\"utf-8\")+b\"726fb\").hexdigest() == \"62b91597814a3332ac196fa07917c9cdabeb6a4a\", \"type of answer1_9_1 is not bool. answer1_9_1 should be a bool\"\n", + "assert sha1(str(answer1_9_1).encode(\"utf-8\")+b\"726fb\").hexdigest() == \"7ae8479f7e92390e97392ac647c12c397eb00174\", \"boolean value of answer1_9_1 is not correct\"\n", + "\n", + "print('Success!')" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "deletable": false, + "editable": false, + "nbgrader": { + "cell_type": "markdown", + "checksum": "7ecc4bc863be073a6df4d614d0afa04f", + "grade": false, + "grade_id": "cell-56d49ae191d3e93f", + "locked": true, + "schema_version": 3, + "solution": false + } + }, + "source": [ + "**Question 1.10**\n", + "
{points: 1}\n", + "\n", + "Finally, create a bar graph that displays the percentage of smokers for both females and males in the data set. Plot sex on the x-axis, and colour the bars to differentiate between smokers and nonsmokers. This could, for example, be used help us determine whether we should consider smoking behaviour when exploring whether there is a relationship between sex and medical costs.\n", + "\n", + "To count the number of observations in each bar, we are using the `count()` aggregation in `altair`, just as we did for histograms in the textbook. We then convert the count to a percentage with `stack('normalize')`.\n", + "\n", + "*Assign your answer to an object called `bar_plot`. Make sure to label your axes appropriately.*\n", + "\n", + ">*Note - many historical datasets treated sex as a variable where the possible values are only binary: male or female. This representation in this question reflects how the data were historically collected and is not meant to imply that we believe that sex is binary.*" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "deletable": false, + "nbgrader": { + "cell_type": "code", + "checksum": "48c03388940eb5e7d332fea76e49d018", + "grade": false, + "grade_id": "cell-19a1b424460c544e", + "locked": false, + "schema_version": 3, + "solution": true + } + }, + "outputs": [], + "source": [ + "# ___ = alt.Chart(\n", + "# insurance,\n", + "# title=___\n", + "# ).mark_bar().encode(\n", + "# x=alt.X(___)\n", + "# .title(___)\n", + "# .scale(zero=False),\n", + "# y=alt.Y(\"count()\")\n", + "# .title(___)\n", + "# .stack('normalize'),\n", + "# color=alt.Color(___).title(___)\n", + "# )\n", + "\n", + "# your code here\n", + "raise NotImplementedError\n", + "bar_plot" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "deletable": false, + "editable": false, + "nbgrader": { + "cell_type": "code", + "checksum": "632ad821e0a055a013c66dc92334cf57", + "grade": true, + "grade_id": "cell-37fe64d61b7366b4", + "locked": true, + "points": 1, + "schema_version": 3, + "solution": false + } + }, + "outputs": [], + "source": [ + "from hashlib import sha1\n", + "assert sha1(str(type(bar_plot is None)).encode(\"utf-8\")+b\"3557b\").hexdigest() == \"541db44201bb8811fa2a7aa74c60ad0d264bfe29\", \"type of bar_plot is None is not bool. bar_plot is None should be a bool\"\n", + "assert sha1(str(bar_plot is None).encode(\"utf-8\")+b\"3557b\").hexdigest() == \"b4058927a4281f6f9931dd99d2de6b4a25eeb2fa\", \"boolean value of bar_plot is None is not correct\"\n", + "\n", + "assert sha1(str(type(bar_plot.encoding.x['shorthand'])).encode(\"utf-8\")+b\"3557c\").hexdigest() == \"860a4ea4b83906e827dfd927664e9c6d66aa5223\", \"type of bar_plot.encoding.x['shorthand'] is not str. bar_plot.encoding.x['shorthand'] should be an str\"\n", + "assert sha1(str(len(bar_plot.encoding.x['shorthand'])).encode(\"utf-8\")+b\"3557c\").hexdigest() == \"a531be90ab5a5041830961e839554f0ca0e969a5\", \"length of bar_plot.encoding.x['shorthand'] is not correct\"\n", + "assert sha1(str(bar_plot.encoding.x['shorthand'].lower()).encode(\"utf-8\")+b\"3557c\").hexdigest() == \"174af161e741636c604e8ca2d86d6eab37d8b941\", \"value of bar_plot.encoding.x['shorthand'] is not correct\"\n", + "assert sha1(str(bar_plot.encoding.x['shorthand']).encode(\"utf-8\")+b\"3557c\").hexdigest() == \"174af161e741636c604e8ca2d86d6eab37d8b941\", \"correct string value of bar_plot.encoding.x['shorthand'] but incorrect case of letters\"\n", + "\n", + "assert sha1(str(type(bar_plot.encoding.y['shorthand'])).encode(\"utf-8\")+b\"3557d\").hexdigest() == \"c297b0c94630ad81f23fd483b4ebbaf02fb63315\", \"type of bar_plot.encoding.y['shorthand'] is not str. bar_plot.encoding.y['shorthand'] should be an str\"\n", + "assert sha1(str(len(bar_plot.encoding.y['shorthand'])).encode(\"utf-8\")+b\"3557d\").hexdigest() == \"69a8c36209b542a7efd5c6610d54448c5b3cc31f\", \"length of bar_plot.encoding.y['shorthand'] is not correct\"\n", + "assert sha1(str(bar_plot.encoding.y['shorthand'].lower()).encode(\"utf-8\")+b\"3557d\").hexdigest() == \"66eb23ea94a5c6921be83d0ed9bd406a9931ef10\", \"value of bar_plot.encoding.y['shorthand'] is not correct\"\n", + "assert sha1(str(bar_plot.encoding.y['shorthand']).encode(\"utf-8\")+b\"3557d\").hexdigest() == \"66eb23ea94a5c6921be83d0ed9bd406a9931ef10\", \"correct string value of bar_plot.encoding.y['shorthand'] but incorrect case of letters\"\n", + "\n", + "assert sha1(str(type(bar_plot.encoding.color['shorthand'])).encode(\"utf-8\")+b\"3557e\").hexdigest() == \"10d352347a8302dc9d49c0ba84d4158f77b5ecc7\", \"type of bar_plot.encoding.color['shorthand'] is not str. bar_plot.encoding.color['shorthand'] should be an str\"\n", + "assert sha1(str(len(bar_plot.encoding.color['shorthand'])).encode(\"utf-8\")+b\"3557e\").hexdigest() == \"302fd0bc1284fa3380e2957a3b7db48035c5167a\", \"length of bar_plot.encoding.color['shorthand'] is not correct\"\n", + "assert sha1(str(bar_plot.encoding.color['shorthand'].lower()).encode(\"utf-8\")+b\"3557e\").hexdigest() == \"c1ac6ce335226621599f896444cac96a157a8608\", \"value of bar_plot.encoding.color['shorthand'] is not correct\"\n", + "assert sha1(str(bar_plot.encoding.color['shorthand']).encode(\"utf-8\")+b\"3557e\").hexdigest() == \"c1ac6ce335226621599f896444cac96a157a8608\", \"correct string value of bar_plot.encoding.color['shorthand'] but incorrect case of letters\"\n", + "\n", + "assert sha1(str(type(bar_plot.encoding.y['stack'])).encode(\"utf-8\")+b\"3557f\").hexdigest() == \"b4767a6da9bfe81091957e989eb4e26fae7a4547\", \"type of bar_plot.encoding.y['stack'] is not str. bar_plot.encoding.y['stack'] should be an str\"\n", + "assert sha1(str(len(bar_plot.encoding.y['stack'])).encode(\"utf-8\")+b\"3557f\").hexdigest() == \"c48ba5d795117a9ab8a3545869c89cc2f2134295\", \"length of bar_plot.encoding.y['stack'] is not correct\"\n", + "assert sha1(str(bar_plot.encoding.y['stack'].lower()).encode(\"utf-8\")+b\"3557f\").hexdigest() == \"5bd1991c21f0f417a233d1f50b39f14774b03ff6\", \"value of bar_plot.encoding.y['stack'] is not correct\"\n", + "assert sha1(str(bar_plot.encoding.y['stack']).encode(\"utf-8\")+b\"3557f\").hexdigest() == \"5bd1991c21f0f417a233d1f50b39f14774b03ff6\", \"correct string value of bar_plot.encoding.y['stack'] but incorrect case of letters\"\n", + "\n", + "assert sha1(str(type(bar_plot.mark)).encode(\"utf-8\")+b\"35580\").hexdigest() == \"d378a0f5e37a2dc87d87ae5dec254dbb09b6edc4\", \"type of bar_plot.mark is not str. bar_plot.mark should be an str\"\n", + "assert sha1(str(len(bar_plot.mark)).encode(\"utf-8\")+b\"35580\").hexdigest() == \"37ce8e4f389f78734af7e7c089432bc68a916764\", \"length of bar_plot.mark is not correct\"\n", + "assert sha1(str(bar_plot.mark.lower()).encode(\"utf-8\")+b\"35580\").hexdigest() == \"50c25729064f3a96875d0ffaec391091ef2786b0\", \"value of bar_plot.mark is not correct\"\n", + "assert sha1(str(bar_plot.mark).encode(\"utf-8\")+b\"35580\").hexdigest() == \"50c25729064f3a96875d0ffaec391091ef2786b0\", \"correct string value of bar_plot.mark but incorrect case of letters\"\n", + "\n", + "assert sha1(str(type(isinstance(bar_plot.encoding.x['title'], str))).encode(\"utf-8\")+b\"35581\").hexdigest() == \"a89256fdb5ad5afc4c82d29996c49e1498fe07b1\", \"type of isinstance(bar_plot.encoding.x['title'], str) is not bool. isinstance(bar_plot.encoding.x['title'], str) should be a bool\"\n", + "assert sha1(str(isinstance(bar_plot.encoding.x['title'], str)).encode(\"utf-8\")+b\"35581\").hexdigest() == \"669e84d4caa3f690df4c5a2c7473af6edc52cec0\", \"boolean value of isinstance(bar_plot.encoding.x['title'], str) is not correct\"\n", + "\n", + "assert sha1(str(type(isinstance(bar_plot.encoding.y['title'], str))).encode(\"utf-8\")+b\"35582\").hexdigest() == \"cab5bb99158a504e68be04da4d5ef8cf119b3608\", \"type of isinstance(bar_plot.encoding.y['title'], str) is not bool. isinstance(bar_plot.encoding.y['title'], str) should be a bool\"\n", + "assert sha1(str(isinstance(bar_plot.encoding.y['title'], str)).encode(\"utf-8\")+b\"35582\").hexdigest() == \"ae8208c581f15219a0fd4f073290c3acb878f2bb\", \"boolean value of isinstance(bar_plot.encoding.y['title'], str) is not correct\"\n", + "\n", + "assert sha1(str(type(isinstance(bar_plot.encoding.color['title'], str))).encode(\"utf-8\")+b\"35583\").hexdigest() == \"10dfcca0e1b03f139dd45ebab8c22eef40f4b60a\", \"type of isinstance(bar_plot.encoding.color['title'], str) is not bool. isinstance(bar_plot.encoding.color['title'], str) should be a bool\"\n", + "assert sha1(str(isinstance(bar_plot.encoding.color['title'], str)).encode(\"utf-8\")+b\"35583\").hexdigest() == \"0a3db160ba5ee9e844ce4bdd041a53f98083118b\", \"boolean value of isinstance(bar_plot.encoding.color['title'], str) is not correct\"\n", + "\n", + "print('Success!')" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "deletable": false, + "editable": false, + "nbgrader": { + "cell_type": "markdown", + "checksum": "9398bd3b0d68cf2679dfe3788643fb7a", + "grade": false, + "grade_id": "cell-426d75901920cc91", + "locked": true, + "schema_version": 3, + "solution": false + } + }, + "source": [ + "**Question 1.11**\n", + "
{points: 1}\n", + "\n", + "Based on the graph, is the percentage of smokers higher amongst men or women?\n", + "\n", + "*Assign your answer to an object called `answer1_11`. Make sure your answer is in lowercase and is surrounded by quotation marks (e.g. `\"male\"` or `\"female\"`).*" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "deletable": false, + "nbgrader": { + "cell_type": "code", + "checksum": "bc74f0ac96dc35273b5125c40172bc84", + "grade": false, + "grade_id": "cell-123d8e2e2b0e9555", + "locked": false, + "schema_version": 3, + "solution": true + } + }, + "outputs": [], + "source": [ + "# your code here\n", + "raise NotImplementedError" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "deletable": false, + "editable": false, + "nbgrader": { + "cell_type": "code", + "checksum": "c9e0b9a0933555c31247a4a421237b59", + "grade": true, + "grade_id": "cell-204b484044f109f1", + "locked": true, + "points": 1, + "schema_version": 3, + "solution": false + } + }, + "outputs": [], + "source": [ + "from hashlib import sha1\n", + "assert sha1(str(type(answer1_11)).encode(\"utf-8\")+b\"db30f\").hexdigest() == \"4253dbcf0b8a6c2e4856718e1c92fc9f0adc5c65\", \"type of answer1_11 is not str. answer1_11 should be an str\"\n", + "assert sha1(str(len(answer1_11)).encode(\"utf-8\")+b\"db30f\").hexdigest() == \"1ee7f645315ff7e68a32c929cb43b2a4359015d5\", \"length of answer1_11 is not correct\"\n", + "assert sha1(str(answer1_11.lower()).encode(\"utf-8\")+b\"db30f\").hexdigest() == \"13a93a5ed8eff6ef6bea42dad3f8b6da2940c917\", \"value of answer1_11 is not correct\"\n", + "assert sha1(str(answer1_11).encode(\"utf-8\")+b\"db30f\").hexdigest() == \"13a93a5ed8eff6ef6bea42dad3f8b6da2940c917\", \"correct string value of answer1_11 but incorrect case of letters\"\n", + "\n", + "print('Success!')" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "deletable": false, + "editable": false, + "nbgrader": { + "cell_type": "markdown", + "checksum": "44ac69cf0dcf72d0229d1061e645261f", + "grade": false, + "grade_id": "cell-841e1fd7134bfd1c", + "locked": true, + "schema_version": 3, + "solution": false + } + }, + "source": [ + "## 2. Color Schemes (beyond the defaults)\n", + "{points: 1}\n", + "\n", + "In the worksheet and this tutorial, you have seen the same colours again and again. These are from the default `altair` color scheme, which is an effective choice in most cases. But what if you want different colors? There are other color palettes available in Altair and you can change the color scheme by specifying its name as a string inside `scale(scheme='...')`. \n", + "\n", + "The documentation lists [all the available color schemes](https://vega.github.io/vega/docs/schemes/) and describes what type of data each color scheme is useful for (categorical, sequential, diverging, cyclic). The default categorical colormap used in Altair is \"Tableau10\", which consists of 10 colors and starts with blue, orange, and red. You can also [create your own color scheme](https://altair-viz.github.io/user_guide/customization.html#color-domain-and-range) by supplying the names of the individual colors you want to use (there is [a lot of color names to choose from](https://stackoverflow.com/questions/22408237/named-colors-in-matplotlib/37232760#37232760)).\n", + "\n", + "Use the chart you created in Q1.10 and change the color scheme to your favourite from the documentation page linked above. Remember that instead of recreating the entire chart from scratch, you can use the `bar_plot` variable you already created and re-encode only the color channel using the same variable `smoker`, but a different color scheme (it is also fine if you prefer to copy all the code). Optionally, you can also use this [color blindness simulator](https://www.color-blindness.com/coblis-color-blindness-simulator/) to check if your visualization is color blind friendly.\n", + "\n", + "*Assign your answer to an object called `bar_plot_colorscheme`.*" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "deletable": false, + "nbgrader": { + "cell_type": "code", + "checksum": "b63b4d8d5e46567735e03e9a524ab5e7", + "grade": false, + "grade_id": "cell-54bd5139136b22a6", + "locked": false, + "schema_version": 3, + "solution": true, + "task": false + } + }, + "outputs": [], + "source": [ + "# bar_plot_colorscheme = bar_plot.encode(\n", + "# ___=alt.Color(___)\n", + "# .___(___=___)\n", + "# .___(___)\n", + "# )\n", + "\n", + "# your code here\n", + "raise NotImplementedError\n", + "bar_plot_colorscheme" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "deletable": false, + "editable": false, + "nbgrader": { + "cell_type": "code", + "checksum": "56eec6ac529bc6769ad4968350246b68", + "grade": true, + "grade_id": "cell-f3beeed5587546b5", + "locked": true, + "points": 1, + "schema_version": 3, + "solution": false, + "task": false + } + }, + "outputs": [], + "source": [ + "from hashlib import sha1\n", + "assert sha1(str(type(bar_plot_colorscheme is None)).encode(\"utf-8\")+b\"1e368\").hexdigest() == \"4c81312d5578e0635dab347e60912e32f3db1c24\", \"type of bar_plot_colorscheme is None is not bool. bar_plot_colorscheme is None should be a bool\"\n", + "assert sha1(str(bar_plot_colorscheme is None).encode(\"utf-8\")+b\"1e368\").hexdigest() == \"e504b451562234b791acab34bcf5a681ea3ffd27\", \"boolean value of bar_plot_colorscheme is None is not correct\"\n", + "\n", + "assert sha1(str(type(bar_plot.encoding.color['shorthand'])).encode(\"utf-8\")+b\"1e369\").hexdigest() == \"b942f73655e3a64ab72eb825ec839ae572b809ce\", \"type of bar_plot.encoding.color['shorthand'] is not str. bar_plot.encoding.color['shorthand'] should be an str\"\n", + "assert sha1(str(len(bar_plot.encoding.color['shorthand'])).encode(\"utf-8\")+b\"1e369\").hexdigest() == \"d656e3e7116d74847c779cad82de4598c956ee1a\", \"length of bar_plot.encoding.color['shorthand'] is not correct\"\n", + "assert sha1(str(bar_plot.encoding.color['shorthand'].lower()).encode(\"utf-8\")+b\"1e369\").hexdigest() == \"6f6f987047b281444ce5ce2847b82310fd2586cb\", \"value of bar_plot.encoding.color['shorthand'] is not correct\"\n", + "assert sha1(str(bar_plot.encoding.color['shorthand']).encode(\"utf-8\")+b\"1e369\").hexdigest() == \"6f6f987047b281444ce5ce2847b82310fd2586cb\", \"correct string value of bar_plot.encoding.color['shorthand'] but incorrect case of letters\"\n", + "\n", + "assert sha1(str(type(isinstance(bar_plot_colorscheme.encoding.color['scale']['scheme'], str))).encode(\"utf-8\")+b\"1e36a\").hexdigest() == \"e8e1e44b3e7e6391507e51d8c18b3ec33ab47eaa\", \"type of isinstance(bar_plot_colorscheme.encoding.color['scale']['scheme'], str) is not bool. isinstance(bar_plot_colorscheme.encoding.color['scale']['scheme'], str) should be a bool\"\n", + "assert sha1(str(isinstance(bar_plot_colorscheme.encoding.color['scale']['scheme'], str)).encode(\"utf-8\")+b\"1e36a\").hexdigest() == \"0e2b36052678af9c24b4ff9a0f1c1f3e1ad500c5\", \"boolean value of isinstance(bar_plot_colorscheme.encoding.color['scale']['scheme'], str) is not correct\"\n", + "\n", + "assert sha1(str(type(isinstance(bar_plot.encoding.color['title'], str))).encode(\"utf-8\")+b\"1e36b\").hexdigest() == \"dde6f4be83013bb75e8d10a9ae819c8452e8107a\", \"type of isinstance(bar_plot.encoding.color['title'], str) is not bool. isinstance(bar_plot.encoding.color['title'], str) should be a bool\"\n", + "assert sha1(str(isinstance(bar_plot.encoding.color['title'], str)).encode(\"utf-8\")+b\"1e36b\").hexdigest() == \"3ba949bbe46dcacbe99eed43d880e4176fc23e0f\", \"boolean value of isinstance(bar_plot.encoding.color['title'], str) is not correct\"\n", + "\n", + "print('Success!')" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "deletable": false, + "editable": false, + "nbgrader": { + "cell_type": "markdown", + "checksum": "bac1b5ab3d4399a4551ac75e67882acb", + "grade": false, + "grade_id": "cell-e9106361d22cb189", + "locked": true, + "schema_version": 3, + "solution": false + } + }, + "source": [ + "## 3. Fast-Food Chains in the United States (Continued)\n", + "
{points: 3}\n", + "\n", + "In `worksheet_viz`, we explored this data set together through some visualizations. Now, it is is all up to you. The goal of this assignment is to create **one** plot that can help you figure out which restaurant to open and where! Your goal is the same as in the worksheet: to figure out which fast food chain to open and figure out which state would be the least competitive.\n", + "\n", + "After creating your visualization you need to write a paragraph explaining your visualization and why you chose it. Also, explain your conclusion from the visualization and reasoning as to how you came to that conclusion. You can use properly-cited outside information here to help support your reasoning (but **do not** download and analyze any data from an outside source in this notebook -- our autograder will not be able to see it). Finally, if there is some way that you could improve your visualization, but don't yet know how to do it, please explain what you would do if you knew how.\n", + "\n", + "In answering this question, there is no need to restrict yourself to the west coast of the USA. Consider all states that you have data for. You have a variety of graphs to choose from, but before starting the assignment, discuss with a partner which plot would be the most optimal to answer this question.\n", + "\n", + "*Note that some restaurant names are spelled incorrectly in data. For the purpose of this exercise you can ignore this and only count the spelling with the most entries for each restaurant.*\n", + "\n", + "" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "deletable": false, + "nbgrader": { + "cell_type": "code", + "checksum": "9eadc7efa36e627b2f26bda8b2f6a0b9", + "grade": true, + "grade_id": "cell-86b3015872de2602", + "locked": false, + "points": 3, + "schema_version": 3, + "solution": true, + "task": false + } + }, + "outputs": [], + "source": [ + "# Write the code for your plot here\n", + "# your code here\n", + "raise NotImplementedError" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "deletable": false, + "nbgrader": { + "cell_type": "markdown", + "checksum": "d6053f5cf05ede8a5198e92232e1b92e", + "grade": true, + "grade_id": "cell-6ac8b7c5b2701b78", + "locked": false, + "points": 3, + "schema_version": 3, + "solution": true + } + }, + "source": [ + "*Write a paragraph explaining your visualization and why you chose it. Also explain your conclusion from the visualization and reasoning as to how you came to that conclusion. If you need to bring in outside information to help you answer your question, please feel free to do so. Finally, if there is some way that you could improve your visualization, but don't yet know how to do it, please explain what you would do if you knew how.*\n", + "\n", + "DOUBLE CLICK TO EDIT **THIS CELL** AND REPLACE THIS TEXT WITH YOUR ANSWER." + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.5" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +}