import pandas as pd
workers = {
"name": ['Luis González', 'Macarena Ramírez', 'Juan José Martínez', 'Carmen Sánchez'],
"email": ['luisgonzalez@mail.com', 'macarena@mail.com', 'juanjo@mail.com', 'carmen@mail.com'],
"phone": ['656343576', '692839321', '664888233', '667677855'],
"nif": ['71476342J', '63823376M', '98376547F', '01234567L']
}
workers_df = pd.DataFrame(workers)
workers_df
workers_platzi = [
{ 'name': 'Facundo', 'age': 72, 'organization': 'Platzi', 'position': 'Technical Coach', 'language': 'python' },
{ 'name': 'Luisana', 'age': 33, 'organization': 'Globant', 'position': 'UX Designer', 'language': 'javascript' },
{ 'name': 'Héctor', 'age': 19, 'organization': 'Platzi', 'position': 'Associate', 'language': 'ruby' },
{ 'name': 'Gabriel', 'age': 20, 'organization': 'Platzi', 'position': 'Associate', 'language': 'javascript' },
{ 'name': 'Isabella', 'age': 30, 'organization': 'Platzi', 'position': 'QA Manager', 'language': 'java' },
{ 'name': 'Karo', 'age': 23, 'organization': 'Everis', 'position': 'Backend Developer', 'language': 'python' },
{ 'name': 'Ariel', 'age': 32, 'organization': 'Rappi', 'position': 'Support', 'language': '' },
{ 'name': 'Juan', 'age': 17, 'organization': '', 'position': 'Student', 'language': 'go' },
{ 'name': 'Pablo','age': 32, 'organization': 'Master', 'position': 'Human Resources Manager', 'language': 'python' },
{ 'name': 'Lorena', 'age': 56, 'organization': 'Python Organization', 'position': 'Language Maker', 'language': 'python' }
]
workers_platzi_df = pd.DataFrame(workers_platzi)
workers_platzi_df