Exploring_data_features.py

#Loading Data
train = pd.read_excel("/GD/.../DataSets/Data_Train.xlsx")

#display the dataframe head(10) returns the first 10 rows
train.head(10)

#Shape of a table (number or rows, number of columns)
train.shape

#Display the names of all columns in a dataframe
train.columns

#Number of null values or empty cells present in each of the column
train.isnull().sum()

#Displays stastical information about each of the columns eg. count, frequency of occurance of a value etc
train.describe(include = 'all')

#Displays each of the column along with its type and the memory used by the data
train.info()