Question

In: Computer Science

The attached csv, Projects.csv, has the grades for three projects of a class roster. Additional class...

The attached csv, Projects.csv, has the grades for three projects of a class roster. Additional class data includes student first and last name and their age.

Your first task is to load the csv into a Pandas data frame. Afterwards, you must take steps to ensure no blank data persists in the data frame. Following that, you are expected to:

• Calculate the mean and standard deviation of the three projects and print them to standard output

• Create a letter grade column in the data frame and set the grade according to the value in the appropriate project column. Please do so using a function (hint: pandas makes this very easy!)

• Graph a bar plot for the letter grades for each project using seaborn. Please place all three projects on ONE graph, using a different color for each project. The graph should have an appropriate legend

• Create a dist plot of age(X axis) vs project numerical grade (Y axis) for all three projects. You may wish to use a FacetGrid to make this a faster process.

first_name,last_name,age,project_one,project_two,project_three
Lindsey,Gerber,24,83,74,76
Claudetta,Samples,26,91,78,57
Cointon,Borrie,18,54,90,91
Lock,Boarer,26,70,104,60
Melita,Scaysbrook,19,87,68,65
Lianne,Grieveson,21,75,121,77
Benito,Cabotto,18,75,40,65
Trace,McCathy,23,68,76,67
Kareem,Arnaldy,26,62,94,
Slade,Brymner,26,51,61,74
Antonetta,Jennery,,63,88,
Inga,O'Concannon,24,84,95,83
Nicola,Johnes,19,58,70,69
Sheffie,Blackney,22,66,67,
Sterne,Liger,25,67,69,
Delmer,Emmison,21,77,71,77
Asher,McGaugie,19,92,93,78
Lauritz,McLorinan,20,50,92,72
Massimo,Bingle,21,76,70,59
Inglebert,Mewrcik,18,83,59,74
Sidonia,Linneman,25,89,67,63
Mabel,Bottoner,23,74,84,84
Chancey,Boller,18,103,83,78
Edmund,Dacres,20,80,68,90
Burch,Trillo,22,25,48,87
Giustina,Kirrens,26,66,53,73
Sascha,Lowmass,20,68,63,80
Eileen,Petts,22,91,74,
Merrick,Dust,21,61,41,94
Darla,Ashingden,,84,83,71
Iggy,Langeren,20,90,61,80
Sal,O'Bradain,19,63,85,86
Hodge,Saffon,21,42,75,96
Dill,Thorburn,22,60,79,99
Georas,Collinson,26,78,24,62
Sherrie,Fairfoull,20,84,88,69
Niven,Geeve,23,88,79,71
Spense,Jakeman,26,101,43,75
Corrine,Jeavons,19,89,86,89
Darlleen,Besnardeau,18,107,107,64
Grazia,Bazek,19,63,76,
Anatole,Corkitt,19,97,65,
Evangelia,Lasty,26,74,49,71
Leshia,Rakestraw,19,72,29,61
Maureen,Cressey,26,89,98,67
Johnna,Govett,23,86,44,96
Suki,Dady,26,93,71,89
Agace,Myatt,18,71,112,91
Shari,Villaret,19,80,65,63
Becky,Jack,21,58,81,75
Merla,Cud,26,91,70,89
Artie,Tarburn,22,78,84,61
Bren,Frow,18,81,70,71
Judy,Dils,26,103,76,98
Arlan,Ligertwood,,63,94,77
Pia,Moorerud,26,68,74,59
Heidie,Males,23,71,55,
Sterling,Drable,21,54,113,102
Cooper,Aberdalgy,18,74,85,84
Donnie,Vasilkov,18,63,79,
Townsend,Krop,24,78,101,93
Hashim,Ascough,19,78,84,107
Sabina,Hilliam,18,72,62,84
Gwen,Hankey,21,90,95,84
Moira,Blanchflower,23,78,114,90
Patti,Fortman,25,74,85,89
Alvira,Indgs,21,38,57,62
Daffy,Barnby,19,82,87,91
Alfons,Laugier,20,68,79,84
Alvira,Cumbes,24,47,73,77
Gennie,Tremonte,19,63,43,114
Karoline,Papaminas,20,67,44,
Blinny,Milillo,22,77,81,84
Cindie,Wyldbore,25,90,98,66
Holli,Thursfield,25,82,69,
Paulita,O'Lehane,26,47,96,69
Vick,Killough,21,53,84,71
Micky,Toovey,24,87,79,87
Moselle,McGarva,20,75,107,95
Norby,Amies,18,98,56,80
Stefanie,Pennings,24,79,102,76
Cherise,Baish,26,77,52,55
Dallon,Loddon,26,88,98,
Tore,Knolles-Green,21,79,80,75
Rafaelita,Sanbrooke,20,80,100,
Matias,Skingle,22,48,81,82
Druci,Benedite,22,74,78,79
Pavia,Andrioletti,21,62,57,83
Tamas,Joynt,23,72,90,62
Zachariah,Pusey,20,56,99,
Madelyn,Squires,25,52,48,61
Davey,Kmiec,,62,48,72
Dag,Ancell,19,76,101,82
Jerrome,McCudden,20,61,57,71
Rachele,Fermin,24,80,86,75
Evonne,Tevlin,26,52,115,76
Mersey,Ickovicz,23,74,39,77
Corri,Gulberg,26,101,95,86
Jehanna,Kinningley,,49,76,81
Parsifal,Bedome,18,75,95,87
Rosy,Hyam,21,41,67,67
Dalenna,Osipov,20,77,84,77
Ailene,Ruthen,22,91,65,78
Bran,Mulvey,24,95,80,62
Marwin,Hedditeh,23,89,89,69
Sam,Leere,20,58,80,
Maxie,Benyon,26,63,106,91
Neely,Arboin,21,80,76,127
Port,Spilsbury,24,76,67,61
Layne,Cookman,19,92,56,50
Ranice,Mullard,25,83,63,100
Halley,Calltone,25,67,91,72
Ardelis,Lavalde,19,54,77,74
Gay,Wildish,25,86,93,101
Adey,Adame,20,68,74,
Bambi,Etherington,19,91,63,82
Zaneta,Morsom,23,81,73,71
Shem,Humphries,25,68,81,94
Reginauld,Lisimore,22,88,113,96
Lynde,Furst,26,57,71,84
Shirline,Semorad,20,45,88,73
Maritsa,Ahrenius,,71,100,96
Helaine,Kelley,19,78,91,76
Haven,Harrigan,24,70,48,82
Caitrin,Droogan,22,86,73,38
Austen,Tittletross,24,98,101,80
Rudolf,Lamacraft,22,66,61,49
Tuck,Domenichelli,21,64,87,88
Wolfie,Strickland,24,88,63,103
Austina,Duce,23,88,84,46
Yoshi,Levinge,,84,112,
Paola,Gresley,21,77,79,81
Merwin,Hiland,22,81,73,41
Carlota,Giorgi,20,79,84,43
Minette,Bezley,23,65,79,75
Minni,Lamont,18,91,76,73
Amelina,Betty,19,57,85,85
Nicola,Eckersley,26,69,46,
Kerrie,Dengate,19,47,87,78
Shanda,Perris,25,75,82,82
Bowie,Kerbey,26,59,87,108
Delia,Holtham,25,70,74,79
Riobard,Bendtsen,22,49,75,99
Guinevere,Shelmardine,25,71,88,112
Derrek,Climance,21,71,88,99
Dexter,Nelsen,22,64,86,88
Durward,McElrea,20,92,85,76
Clarke,Crolla,23,76,95,80
Nadiya,Burkin,18,73,73,87
Alonzo,Rawles,19,87,80,89
Dall,McDermott-Row,20,83,97,96
Rudolfo,Le Grove,25,74,87,96
Layne,Stopforth,24,62,65,77
Prentiss,Minchinton,25,90,69,94
Jameson,Leakner,22,96,106,94
Hali,Filewood,25,63,63,60
Francis,Vines,26,68,64,78
Axel,Crumby,20,74,55,28
Porty,Shenfisch,22,66,96,92
Shurlock,Caillou,18,113,126,62
Andree,Skedge,23,71,61,
Kingsley,Paler,18,62,61,88
Corliss,Alliot,25,77,95,122
Avram,Scobie,24,77,71,96
Madge,Coltart,24,50,69,78
Cordie,Bellson,,55,74,63
Amanda,Cartwight,25,69,52,83
Any,Gindghill,20,107,102,90
Cirilo,Richichi,23,48,85,83
Celinka,Donnan,22,69,75,61
Wright,Threlkeld,18,82,73,72
Flss,Feek,21,42,73,51
Krystyna,Winterburn,18,68,118,55
Birgitta,Constanza,24,54,95,105
Ferdinande,Tourry,22,71,83,62
Dolores,Riddel,18,64,71,76
Gretal,Nettleship,25,84,66,60
Perice,Winkett,22,62,69,77
Harriott,Loffel,25,86,109,88
Perl,Klimpt,23,96,74,65
Demetre,Huston,21,103,111,
Vern,Allmen,26,72,86,65
Brant,Thrush,20,72,41,77
Yance,Martinyuk,24,61,90,
Kin,Canet,22,81,67,82
Valina,Van der Velde,,87,96,84
Beverlie,Allen,21,86,88,92
Ann-marie,Reavey,20,89,71,74
Holly,Mellanby,21,63,66,72
Jeffrey,Claydon,24,63,68,74
Donia,Allso,18,73,34,75
Bronson,Haynes,19,77,101,95
Myrilla,Garrioch,25,84,44,57
Jodie,Clubb,19,62,44,71
Kalina,Mountfort,19,61,87,67
Felic,Robez,21,62,63,86
Florie,Masi,18,77,80,101
Joaquin,Tynemouth,19,71,54,88
Eadmund,Parrot,26,81,61,99
Mellisa,Keeri,19,57,61,
Reidar,Morhall,23,75,77,65
Johnathan,Warwicker,22,75,90,79
Alix,Symones,19,61,61,66
Alia,Kirtley,21,53,81,
Ulrike,Wackly,23,55,45,78
Hal,Pawellek,18,63,61,
Charles,Abdey,20,81,72,81
Frants,Williams,26,82,86,81
Elberta,Jumeau,23,94,68,85
Dennie,Jersch,23,84,90,67
Noella,Shearsby,23,68,89,
Edeline,Albrook,26,51,57,64
Danila,Dunrige,23,101,122,
Rowena,Woltman,18,88,55,89
Lawrence,Ricold,21,97,38,
Malissia,Coldbathe,,85,45,85
Pamella,Roussell,22,68,87,93
Katha,Adelman,18,79,57,79
Celestyn,Absolon,22,79,58,57
Hermy,Dumbrell,25,81,105,93
Lindy,Smees,19,62,89,91
Jeddy,Camlin,19,41,80,78
Marcello,Springford,24,58,103,70
Chrissy,Colbeck,23,81,99,77
Pascal,Kuhnke,25,96,81,98
Gearalt,Bramelt,26,72,70,72
Harold,Tieraney,26,65,69,79
Zonda,Aitken,21,66,86,67
Mair,Orrice,19,83,89,83
Maudie,Smiley,19,76,64,
Sidoney,Currer,21,76,96,82
Des,Theuff,25,71,129,82
Wat,Willett,22,68,76,117
Carmelle,Gresch,26,84,98,99
Rik,Tootin,21,47,67,103
Donn,Lintin,23,83,93,
Thomasin,Narramor,22,68,70,101
Jeanna,Bartlam,20,56,130,88
Griselda,De Filippo,19,66,76,72
Rhonda,Hancke,21,71,101,81
Terri,Rope,22,93,20,76
Fraser,Marshman,20,57,51,85
Jandy,Gostick,24,66,82,92
Joshia,Kingsnod,24,77,86,63
Antoni,Buzek,25,63,118,87
Freddie,Ruddlesden,20,83,93,78
Lanie,Bruin,21,88,49,96
Tally,Willmont,20,82,90,84
Annis,Shawl,18,59,78,68
Glenda,Corteney,23,51,82,92
Arleyne,Concannon,21,49,106,87
Dyan,Hoffner,19,83,102,75
Fredi,MacCrann,22,84,70,65
Beverlie,Pesselt,22,73,59,
Guillemette,Blackborough,25,67,86,83
Shalna,Jordine,26,99,102,
Dasya,Goracci,18,88,84,89
Lyda,Attridge,24,72,78,92
Ulrica,Lory,18,69,79,89
Emlynne,Kedge,26,93,84,60
Gerry,Wetherburn,,64,91,104
Vilhelmina,Myles,22,73,99,
Faustina,Ullyatt,19,75,88,67
Ennis,Paule,22,97,133,
Willard,Eggleson,19,63,73,77
Ericka,Housego,24,76,50,76
Carmelita,Batterton,24,36,69,66
Rosetta,Farfalameev,21,95,80,89
Axel,Blasgen,23,98,111,77
Marcile,De Roeck,21,82,67,105
Vale,Slatcher,25,69,95,84
Shaylynn,Olland,26,56,96,78
Eydie,Credland,19,80,51,96
Bennett,Delion,21,78,60,
Dennis,Agiolfinger,20,79,66,76
Clotilda,Ivakin,19,69,38,55
Milissent,Witty,18,80,69,80
Hugh,Glackin,26,73,71,91
Ulysses,Road,25,86,94,65
Flin,Rosenstiel,20,61,97,93
Nedda,Piercy,21,69,93,76
Randie,Bartlett,18,89,76,100
Mohammed,Fippe,19,76,70,42
Cilka,Garnham,23,75,91,92
Mendy,Garm,26,75,137,105
Geordie,Etuck,22,52,101,84
Talbert,Outridge,25,69,114,70
Adolpho,Zannotelli,23,94,61,103
Gus,Dollimore,21,53,70,97
Emelia,Vogele,20,75,82,100
Nikkie,Parsonson,23,87,62,83
Gabie,Comiam,19,59,38,92
Andrew,Petrasso,,43,84,54
Lissa,Trengove,20,71,69,78
Marika,Flobert,,90,33,85
Leanor,Muro,22,73,89,79
Nicolai,MacLise,20,53,88,78
Jard,Postles,21,74,73,
Jeni,Fishly,18,85,93,94
Dorelia,Chasles,26,92,64,75
Englebert,Phillcox,23,81,37,59
Dominic,Caird,18,79,77,82
Lorenzo,O' Hogan,18,106,84,57
Freddy,Illwell,23,84,63,68
Ediva,Call,19,65,79,
Nikolas,Clemonts,21,79,58,81
Elissa,Cudbird,25,95,76,
Jacklin,Hartrick,22,46,74,88
Michelle,Doxey,18,79,96,66
Everard,Poles,20,69,97,76
Davy,Trolley,21,77,100,80
Laure,Campione,19,75,71,83
Marijo,Ganing,20,60,82,85
Levey,Delion,18,64,46,95
Mariejeanne,Garthshore,24,97,97,93
Phelia,Salthouse,25,98,88,84
Shelden,Featherbie,22,102,87,100
Burnard,Sarson,20,57,105,75
Tabbi,de Juares,20,77,96,80
Boycie,Karppi,20,58,101,60
Freddy,Goady,20,63,102,83
Suellen,Brizell,25,80,100,91
Minetta,Hamberston,25,90,104,
Hymie,O' Kelleher,23,70,131,90
Sonja,Goodley,19,98,96,79
Carena,Marousek,26,59,82,77
Karoly,Rettie,21,81,70,86
Cameron,Clayton,24,79,82,68
Rouvin,Stinchcombe,18,73,118,47
Fransisco,Breyt,22,37,87,67
Kerry,Hurrion,25,32,123,
Kirstyn,Willshaw,22,60,75,87
Evered,Folcarelli,19,75,58,54
Allys,Tebbe,19,78,103,104
Gwendolyn,Spelsbury,26,81,74,92
Kellie,Gilstoun,18,64,47,90
Jocko,Cordet,21,101,47,73
Granny,Poluzzi,22,87,89,56
Patsy,Zorzenoni,21,76,84,74
Elbert,Grubb,24,82,44,68
Arie,Jekel,19,85,44,89
Linnea,Polini,26,74,63,80
Laurence,Hairon,26,52,88,110
Nicol,Hiom,18,77,90,73
Lou,Fowlds,18,94,90,75
Hallie,MacAlaster,26,59,52,88
Shepherd,Cadge,,54,74,76
Ainsley,Galland,21,74,67,84
Feliks,Lighterness,,86,95,71
Britni,Keeley,22,80,95,79
Conchita,Leirmonth,23,82,84,66
Eddi,Spiring,26,92,86,98
Jarrad,Mournian,20,92,87,79
Shadow,Labrom,20,97,92,65
Giacopo,Delacourt,23,87,94,82
Mozes,Bloor,23,76,85,71
Ellynn,Syrett,25,62,80,48
Crawford,Comiskey,26,75,80,81
Ignacio,Shelley,24,70,69,68
Aldwin,Longbone,26,69,50,93
Dewitt,Michallat,25,54,81,77
Carita,Zaczek,26,88,77,65
Dennison,Liddicoat,25,53,90,80
Nicol,Jiroudek,24,73,47,64
Hervey,Goldstein,,88,74,74
Carolan,McIlwaine,24,87,68,81
Olly,Tandy,22,81,43,85
Barbie,Canet,23,94,83,82
Trisha,Corballis,23,77,72,64
Bianka,Moggle,19,79,68,75
Aaren,Worsalls,19,86,56,72
Donavon,Chestle,19,75,69,90
Jorie,Olufsen,23,117,28,100
Nissy,Falkner,21,64,75,64
Kenneth,Vader,19,97,103,
Roldan,Rennicks,22,75,74,71
Manolo,Pelcheur,18,66,98,86
Tony,Rollins,20,72,97,89
Harli,Lightowlers,19,83,72,55
Claudian,Worstall,24,67,81,93
Rochell,Braddick,21,68,68,67
Opal,Fetherby,26,80,71,70
Meara,Scanderet,23,67,35,94
Lars,Merwood,24,60,85,
Melli,Hubatsch,26,84,94,76
Shelton,Insull,21,92,96,
Lenora,Cutchee,26,112,85,89
Alejandra,Newby,25,92,81,83
Gusta,McGlaud,25,62,91,122
Dulcinea,Osipov,21,96,34,73
Earlie,Mickelwright,24,77,55,81
Willabella,Rubens,19,60,92,
Ara,Emanson,22,63,81,74
Camilla,Duddle,22,88,84,68
Felipa,Ledson,21,75,98,73
Nobie,Skells,18,50,90,99
Bryana,Stilling,19,61,76,74
Lorens,Sharkey,18,68,66,92
Ward,Staning,25,75,83,78
Colline,Domenico,21,81,87,84
Hewett,Hurst,22,79,91,68
Sammy,Malcher,,72,100,80
Nicolas,Rowell,19,76,93,74
Addia,Roome,25,75,60,100
Alberta,Tessier,20,77,69,78
Octavia,Oboy,19,70,121,68
Elvera,Suff,25,83,71,80
Dannye,Tees,26,74,72,87
Petr,Dibdall,22,68,106,79
Benny,Hapgood,23,82,80,61
Elsworth,Jans,20,54,78,80
Mendy,Sessuns,26,67,67,73
Alfons,Janusz,20,81,85,74
Gare,Treacher,18,59,78,
Agna,Maden,26,57,63,65
Tailor,Witter,,74,80,100
Christy,Duigan,22,71,50,71
Tallia,Edwards,23,120,91,41
Janka,Teodoro,23,82,79,56
Ileana,Ruffli,22,73,50,57
Dominik,Lago,19,72,80,101
Jordain,Stenners,26,66,59,103
Nikaniki,Joss,18,92,37,85
Vittorio,Dearnley,24,75,83,102
Poul,Kail,19,68,83,50
Gale,Rhydderch,22,104,76,72
Rachel,Winstanley,20,65,66,69
Andros,Hincham,21,51,100,85
Dael,Goudard,18,51,105,104
Rosene,Allinson,21,81,118,65
Kirsteni,Bootell,20,50,62,81
Jaime,Hischke,,65,99,79
Biddie,Dumblton,26,59,92,72
Aridatha,Vossing,20,43,70,90
Estelle,Witham,20,104,110,
Colan,Geddis,22,61,71,
Seamus,Leggott,25,63,83,86
Bonny,de Lloyd,22,71,72,72
Tamra,Froggatt,20,36,139,83
Linette,Purchall,24,51,70,67
Obediah,Boyington,21,70,78,93
Guss,Ivermee,18,59,100,54
Niall,Bettleson,25,78,106,73
Adriena,Teggart,23,73,78,88
Giacobo,Mazdon,24,79,114,93
Anita,Corris,21,50,91,
Julie,Tippings,24,82,72,75
Fania,Willavoys,23,67,69,84
Giacobo,Stedall,22,95,105,96
Evvy,Mattholie,25,62,74,80
Naomi,Jiggens,,72,98,90
Iago,Bonny,24,111,69,87
Jerry,Beisley,18,69,89,45
Olivero,Casarini,25,83,47,94
Krystyna,Biever,24,81,111,57
Beverley,Lawerence,19,72,64,61
Gusti,Cain,,63,63,84
Britte,Moehler,25,96,67,78
Gwenneth,Golbourn,18,89,58,75
Tibold,Mollett,18,69,72,
Edgardo,Favill,18,87,85,
Conny,Rauprich,21,76,81,48
Meredithe,Apfler,21,93,70,86
Shepard,Stuart,21,78,81,78
Caritta,Scare,21,83,58,89
Bernard,Franzke,22,81,102,
Ruthy,Ceeley,26,53,62,68
Gill,Skellon,23,66,96,49
Betsy,Reddings,19,48,111,83
Rhody,Calverley,23,88,53,
Bevin,Haggart,25,66,86,83
Stan,Corp,22,60,102,
Nickolas,Dawltrey,19,87,82,77
Ursulina,Pape,20,74,70,67
Noell,Stenhouse,23,93,51,102
Sisely,Cheak,21,84,69,
Sigismund,Longforth,19,88,26,98
Terencio,Lilleyman,22,86,73,90
Carlie,Boseley,20,95,87,82
Philippine,Ewington,26,97,106,
Jacki,Racine,23,69,72,109
Rees,Boshard,23,73,47,79
Bernardine,Rubbens,19,37,78,53
Sammy,Edess,18,77,67,69
Lucais,Curtoys,22,72,111,123
Mathilde,Adamovitch,25,89,52,106
Lombard,Murrthum,26,93,81,93
Casey,Tatershall,25,114,100,82
Maia,Johnys,19,70,80,62
Ailsun,Shyres,20,88,84,87
Ricoriki,Such,19,84,89,70
Crissie,Gauford,,88,85,99
Conroy,Fosdick,23,52,82,84
Marlo,O'Quin,23,73,91,
Shaine,Barrass,21,67,56,96
Kelci,Deakins,18,78,69,77
Fedora,Rubel,22,84,67,78
Aime,Torre,20,64,82,69
Lola,Meadmore,18,58,41,72
Reuben,Arrell,22,82,76,89

Solutions

Expert Solution

// In the following program, we will cover the first two subparts of the question.

PROGRAM -

// Importing libraries,

// Pandas is used to read the CSV file into a data frame.

// Numpy and SimpleImputer are used to replace the missing values.

import numpy as np
import pandas as pd
from sklearn.impute import SimpleImputer

// Reading data from CSV files

data = pd.read_csv('File Path')

X = np.array(data)

// Replacing Missing Values from average of each column
imputer = SimpleImputer(missing_values=np.nan , strategy = 'mean')

// As first two columns contain the name and last name X[:, 2:] is used ranging from the second column to //last column


imputer.fit(X[: , 2:])
X[: , 2:] = imputer.transform(X[: , 2:])

new_data = pd.DataFrame(X)

// Calculating mean and standard deviation of each project

mean_1 = new_data[3].mean().round(2)
mean_2 = new_data[4].mean().round(2)
mean_3 = new_data[5].mean().round(2)


std_1 = new_data[3].std().round(2)
std_2 = new_data[4].std().round(2)
std_3 = new_data[5].std().round(2)

print('Mean and Standard Deviation of first project are : ' , mean_1 , std_1)

print('Mean and Standard Deviation of second project are : ' , mean_2 , std_2)

print('Mean and Standard Deviation of third project are : ' , mean_3 , std_3)

// Assigning letter grade to each project for every observation.

score_bins = [0 , 59 , 62 , 69 , 72 , 76 , 79 , 82 , 86 , 89 , 99 , 120 , 150]
grades = ['F' , 'D-' , 'D+' , 'C-' , 'C' , 'C+' , 'B-' , 'B' , 'B+' , 'A-' , 'A' , 'A+']

letter_a = pd.cut(new_data[3] , score_bins , labels=grades)
letter_b = pd.cut(new_data[4] , score_bins , labels=grades)
letter_c = pd.cut(new_data[5] , score_bins , labels=grades)
new_data[6] = letter_a
new_data[7] = letter_b
new_data[8] = letter_c


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