inspect data function

import pandas as pd              
pd.set_option('display.max_columns',1000)
pd.set_option('display.max_rows',1000)

def inspect_data(df, col=None, n_rows=5):
    print(f'data shape: {df.shape}')
    
    if col is None:
        col = df.columns
    
    display(df[col].head(n_rows))
    
def check_missing(df, cut_off=0, sort=True):
    freq=df.isnull().sum()
    percent=df.isnull().sum()/df.shape[0]*100
    types=df.dtypes
    unique=df.apply(pd.unique).to_frame(name='Unique Values')['Unique Values']
    unique_counts = df.nunique(dropna=False)
    df_miss=pd.DataFrame({'missing_percentage':percent,'missing_frequency':freq,'types':types,'count_value':unique_counts,
                          'unique_values':unique})
    if sort:df_miss.sort_values(by='missing_frequency',ascending=False, inplace=True)
    return df_miss[df_miss['missing_percentage']>=cut_off]

df = pd.read_csv('your_data_here.csv')

inspect_data(df)