Data Preparation-2

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2_data_preparation_2
In [1]:
###################################################
#  Filename : 2_data_preparation_2                #
#  Purpose : To demonstrate how to construct      #
#   a coding dictionary for a discrete variable.  # 
#   We use likelihood encoding.                   #
#  Author : Niel S.                               #
#  (c) The English Tea Company LLC                #
###################################################
import sys
sys.path.append('C:\\Users\\singa72\\Desktop\\Euler\\')

import Euler as Eu
from matplotlib import pyplot as plt

data_folder = 'C:\\Users\\singa72\\Desktop\\Tutorial2\\bank-additional\\bank-additional\\'
data_work   = data_folder+'data_work.db'

#M A I N   F U N C T I O N 
def main():
    #Make a coding dictionary for age;
    conn = Eu.connection(data_work)
    try:
           
        probability_encoding_marital(conn)
        Eu.run('select * from marital_coding',conn)

        
        #Exercise: Fix the function and uncomment following call
        #probability_encoding_categorical(varName,conn)
        
        
    except Exception as err:
        Eu.print_error(err)
    finally:
        conn.close()
    
 

def probability_encoding_marital(conn):
    try:
        sql = '''
        DROP TABLE if exists marital_coding;
        CREATE TABLE marital_coding AS
        SELECT
        marital,
        CASE WHEN n_ppl_all IS 0 THEN 0
        ELSE round(n_ppl_pass/n_ppl_all,4) END code
        FROM
            (
        SELECT
        marital,
        sum( CASE WHEN Y = 'yes' THEN 1. ELSE 0 END) n_ppl_pass,
        count(*) n_ppl_all
        from bank
        group by marital
        ) as T1
        '''

        Eu.execute(sql,conn=conn)

    except Exception as err:
        Eu.print_error(err)
    
    
def probability_encoding_categorical(varName,conn):
    '''
    Generalize the sql from probability
    encoding marital to create encodings for
    all the variables.
    '''
    
    pass
    
if __name__ == '__main__':
    main()
************************************************
*                    EULER                     *
*    A SQLITE POWERED DATA SCIENCE TOOLKIT     *
*          SINGH.AP79@GMAIL.NOSPAM.COM         *
************************************************


        DROP TABLE if exists marital_coding

        CREATE TABLE marital_coding AS
        SELECT
        marital,
        CASE WHEN n_ppl_all IS 0 THEN 0
        ELSE round(n_ppl_pass/n_ppl_all,4) END code
        FROM
            (
        SELECT
        marital,
        sum( CASE WHEN Y = 'yes' THEN 1. ELSE 0 END) n_ppl_pass,
        count(*) n_ppl_all
        from bank
        group by marital
        ) as T1
        
============
marital,code
============
divorced,0.1032
married,0.1016
single,0.14
unknown,0.15
============

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