text: Title: Shortcut_Summarizing Data 
  Body: ### 🚀 The feature
  
  Getting an outline at once for a Pandas Dataframe helps saving time. For this purpose a summarization shortcut can be added:
  
  > Summarize data to group for each distinct value in a column
  
  > For each distinct value :
         calculate subtotal of rows 
        calculate the percentage of the total count for each group
  
  It can be applicable to different columns in the dataframe 
  There is an example table for student's exam status:
  
  
  Student ID   Count of Exam          Perc of of Exam    Pass          Perc of pass      Fail     Fail Pec
    1                       10                          0.25                       5               0.17                    4         0.25
    2                      10                          0.25                       10              0.33                   0           0
    3                      20                          0.50                      15              0.5                     12          0.75
  
  
  
  
  
  
  ### Motivation, pitch
  
  Getting an outline at once for a Pandas Dataframe helps saving time. 
  
  ### Alternatives
  
  _No response_
  
  ### Additional context
  
  _No response_