I have analyzed data on chocolate candy bar purchases to determine popular brands and customer trends. The analysis shows that small cities have higher brand popularity for smaller brands and account for 32,000 of the customers. It also reveals that a customer with ID 2000000005 visited the store 13 times, while 98 other customers did not visit. Further, 35 year olds most want to purchase chocolate candies, and the most popular brand among them is brand 2. Price data also indicates varying daily purchase counts for different brands.

1. METHODOLOGY OF PURCHASE OF CHOCOLATE CANDY BARS
Data Preparation:
 I have prepared the data in excel sheet and I performed cleaning process that removes
unuseful data
 Next I have converted the available data from numerical values to string values
according to our reqirement
Analysis:
 I have analysed the data from numerical data to categorical data
Methodology:
 In first page I have analysed the which brand is popular in which cities and according to
analysis.second most brand have high trend analysis and small cities have high brand in
second
 In second page,I have analysed which customer belongs to which city and according to
our analysis small city has more purchase of brands of small city nearly 32K customers
are belongs to small city and 17.8K men and 14.8K women
 In third page,I have analysed how many times customer visit the store and whether it
visited the store, and I have analysed that ID of 2000000005 have visited the store is 13
and who not visited is 98
 In fourth page, I have analysed that 35 age of people wants to purchase chocolate
candies and popular brand is 2
 In fifth page,I have analysed that first day count of different brands price is 100.On the
day it prices nearly 29. Day third price is different brand is 71.Fourth day is 122