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DATA_SCIENCE_AND_EVALUATION
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DDI-KEN-APHRC-SUPERMARKET-A-2023-V1.0
Analysis of Supermarket Grocery Data for Prediction of Nutritional and Health Outcomes at the Population Level - Supermarket A
Kenya
,
2020 - 2023
Data Science and Evaluation (DSE)
Agnes Kiragga
Study description
Documentation
Data Description
Get Microdata
Data files
clean_analysis_supermarket_a_sample
Variable Groups
Study abstraction
Food categories and groups
NOVA classification
Kenya food composition tables 2018
Variable Groups
Variable group: Study abstraction
Variables
24
id
Shopper id
paymentmode
Payment mode
branch
Branch id of supermarket
transaction_id
Supermarket branch transaction id
dob_new
Date of birth of shopper
supermarket_name
Supermarket name
branch_name
Branch name of supermarket
county_name
Location
sub_county_name
Sub-county
month_date
Month date
total_new
Total product price
county
County acronym
customer_type
Shopper type recorded as loyalty and non-loyalty
year
Year
quarter_date
Quarter date
age
Age (years)
item_type
Product type recorded as food item and non-food item
gender
Gender
description
Product name description
price
Unit price of product
quantity
Quantity of product purchased
total
Sales invoice total price
trnref
Transaction id
sdatetime
Transaction date
