text_plain_output_1.png
import miner_a_de_datos_an_lisis_exploratorio_utilidad as utils

filepath = '../input/breast-cancer-wisconsin-data/data.csv'
indexC = 'id'
targetC = 'diagnosis'
dataC = utils.load_data(filepath, indexC, targetC)

filepathD = '../input/pima-indians-diabetes-database/diabetes.csv'
targetD = 'Outcome'
dataD = utils.pd.read_csv(filepathD, dtype={'Outcome': 'category'})

filepathT_train = '../input/titanic/train.csv'
filepathT_test = '../input/titanic/test.csv'
filepathT_Union = '../input/titanic/gender_submission.csv'
dataT_train = utils.pd.read_csv(filepathT_train)
dataT_test = utils.pd.read_csv(filepathT_test)
dataT_Union = utils.pd.read_csv(filepathT_Union)

len(dataT_Union)
len(dataT_test)