There are 3 data files named data.csv, data.json, and data.pkl

data.csv has the following data:

Name	Phone	Address	City	Country	Email
	0	Hillary Benton	1-243-669-7472	144-1225 In Road	Navsari	Togo	rutrum.magna.Cras@eudolor.edu
	1	Morgan Y. Little	155-3483	Ap #909-6656 Ac St.	Kitimat	Nauru	pede.sagittis.augue@quis.ca
	2	Camden Z. Blair	123-5058	P.O. Box 441, 6183 Ligula St.	Casanova Elvo	Palestine, State of	consectetuer.rhoncus.Nullam@ultrices.org
	3	Alexandra E. Saunders	1-637-740-7614	305-496 Morbi Rd.	Biggleswade	Malawi	dui.Fusce@duinecurna.org
	4	Hanae P. Walsh	901-2461	7058 Dapibus St.	Dhuy	Qatar	Morbi@tinciduntpedeac.com
	5	Jescie Sargent	265-1176	421-5501 Cursus. St.	Tulsa	Holy See (Vatican City State)	non.egestas.a@ullamcorper.co.uk
	6	Kessie Morgan	945-0713	Ap #481-6631 Vehicula Rd.	Pedro Aguirre Cerda	Bonaire, Sint Eustatius and Saba	est@vitaeeratVivamus.net
	7	Bevis M. Santos	227-9994	P.O. Box 575, 4033 Mi St.	Saint-Vincent	Kuwait	Nunc@Aliquamfringilla.com
	8	Flynn Alston	398-8097	Ap #763-5990 Nec, Av.	Tira	Romania	Nunc.pulvinar@Phasellusdapibus.edu
	9	Charles F. Crawford	791-5111	Ap #841-1623 Vitae Avenue	Hindupur	South Georgia and The South Sandwich Islands	dis.parturient@nectellusNunc.net
	10	Cairo Wolfe	1-930-942-2322	9269 Libero Ave	Whitchurch	Lesotho	sociis.natoque@arcuVestibulumante.org
	11	Elijah Myers	1-238-336-4864	P.O. Box 677, 2311 Aliquet. Road	Port Harcourt	Kyrgyzstan	tempus.risus@posuereat.net
	12	Thane Burch	1-894-978-3696	7438 Amet, Rd.	Algeciras	Anguilla	lobortis.quis.pede@Namligula.edu
	13	Katelyn Munoz	220-5054	P.O. Box 432, 9085 Nulla Ave	Requnoa	Congo (Brazzaville)	Vivamus.nisi.Mauris@fermentumarcu.edu
	14	Genevieve Holland	992-6968	1768 Magna. Road	Moose Jaw	Uruguay	Maecenas.malesuada@euultrices.co.uk
	15	Wesley Z. Sharp	1-960-740-2261	P.O. Box 497, 8354 Habitant St.	Bear	Cayman Islands	et@sedsapien.ca
	16	Tatyana H. French	1-120-782-6047	217-9163 Lobortis Road	Salles	Eritrea	Curabitur@magna.com
	17	Meredith F. Clayton	425-7583	Ap #929-9420 Vivamus Rd.	Friedberg	Czech Republic	elit.pharetra@dui.co.uk
	18	Rajah Carrillo	1-576-789-5730	910-8300 Varius Rd.	Bertiolo	Afghanistan	sapien.gravida.non@cursuset.net
	19	Gabriel Richmond	1-387-932-2096	7458 Sapien. St.	Tropea	Cambodia	nunc.nulla.vulputate@anteblanditviverra.co.uk

data.json has the following data:

{"Name":{"20":"Paul Merrill","21":"Brynne S. Barr","22":"Cyrus Buckley","23":"Chloe Burnett","24":"Zachery Wilcox","25":"Casey Mcgowan","26":"Cole X. Hopper","27":"Tara Bender","28":"Malik Grimes","29":"Ulla Russo","30":"Colby Moran","31":"Maggy Wooten","32":"Cameron Guthrie","33":"Gail Villarreal","34":"Harding Salinas","35":"Idona W. Bonner","36":"Warren Castillo","37":"Clayton Harmon","38":"Alana Vasquez","39":"Mason R. Trujillo"},"Phone":{"20":"1-313-739-3854","21":"939-4818","22":"266-3123","23":"828-0406","24":"1-611-756-4723","25":"1-155-558-4461","26":"1-328-505-0545","27":"1-757-378-4079","28":"793-4359","29":"662-7778","30":"1-788-230-1991","31":"912-7242","32":"988-2217","33":"1-405-823-4207","34":"1-505-843-5401","35":"283-6921","36":"1-250-875-9104","37":"1-609-380-9257","38":"1-853-288-4269","39":"172-5777"},"Address":{"20":"916-8087 Vehicula Rd.","21":"878-2231 Suspendisse Rd.","22":"P.O. Box 572, 7680 Ullamcorper Ave","23":"563-4105 Donec Avenue","24":"462-2112 In Rd.","25":"420-7327 Facilisis Street","26":"561-7476 Eget St.","27":"1247 Nonummy Rd.","28":"Ap #603-3303 Libero. St.","29":"P.O. Box 975, 4593 Ante. Street","30":"3696 Augue Ave","31":"P.O. Box 365, 6109 Metus. Rd.","32":"Ap #861-8699 Non Ave","33":"371-7266 Tortor Avenue","34":"4167 Nunc Ave","35":"Ap #302-2966 Av.","36":"Ap #275-2917 Curabitur Rd.","37":"6930 Duis Road","38":"1511 Lobortis Ave","39":"Ap #711-213 Sagittis Avenue"},"City":{"20":"Le Mans","21":"Wilhelmshaven","22":"Sangli","23":"Wabamun","24":"Barddhaman","25":"Pfungstadt","26":"Saint John","27":"Avellino","28":"Winnipeg","29":"Vit\u00f3ria da Conquista","30":"Hualp\u00e9n","31":"Kapuskasing","32":"Pontypridd","33":"Saint-Remy-Geest","34":"Arsimont","35":"Nieuwenrode","36":"La Baie","37":"College","38":"Richmond Hill","39":"Quinta Normal"},"Country":{"20":"Somalia","21":"Samoa","22":"Taiwan","23":"Morocco","24":"Hong Kong","25":"Iran","26":"Macao","27":"Dominica","28":"Congo (Brazzaville)","29":"Slovakia","30":"France","31":"Indonesia","32":"Turks and Caicos Islands","33":"Marshall Islands","34":"Montserrat","35":"Faroe Islands","36":"Ireland","37":"United States","38":"Israel","39":"Sudan"},"Email":

data.pkl has the following data:

{'Phone': {40: '420-1477', 41: '102-2189'}, 'Email': {40: 'ipsum.ac@quam.net', 41: 'Nulla.facilisis.Suspendisse@urnanec.net'}, 'Name': {40: 'Garrison Lindsey', 41: 'Jenna Mercado'}, 'Address': {40: 'P.O. Box 466, 7919 In Av.', 41: 'P.O. Box 484, 9648 Sit Avenue'}, 'Country': {40: 'Zambia', 41: 'Burkina Faso'}, 'City': {40: 'Dunbar', 41: 'Pollena Trocchia'}}

....

You'll see that there is some method to the madness but that each file format has its peculiarities. Each file contains a portion of the total dataset that altogether comprises 100 records, so you need to read in all of the files and combine them into some standard format with which you are comfortable. Aim for something standard where each "row" is represented in the same format. Name this object that contains the data for all three files combined full_data