We have UN data on different countries of the world with regard to education of people to Gross Domestic Product. We'll use this data to bucket the countries based on their development. Here are the descriptions of the columns:
Here is a screenshot of the data:
Lets see the data type of each column:
>>> df = pd.read_csv('./Data/UN.csv') >>> # print the raw column information plus summary header >>> print('----') >>> # look at the types of each column explicitly >>> [(col, type(df[col][0])) for col in df.columns] [(x, type(df[x][0])) for x in df.columns] [('country', str), ('region', str), ('tfr', numpy.float64), ('contraception', numpy.float64), ('educationMale', numpy.float64), ('educationFemale', numpy.float64), ('lifeMale', numpy.float64), ('lifeFemale', numpy.float64), ('infantMortality', numpy.float64), ('GDPperCapita', numpy.float64...