Login
Login

APHRC Online Microdata Library
  • Home
  • About APHRC
  • Datasets
  • Collections
  • Citations
  • Resources
  • How to use it?
  • Why sharing data?
  • Contact us
    Home / Central Data Catalog / DATA_SCIENCE_AND_EVALUATION / DDI-KEN-APHRC-SUPERMARKET-CD-2023-V1.0
Data_Science_and_Evaluation

Analysis of Supermarket Grocery Data for Prediction of Nutritional and Health Outcomes at the Population Level - Supermarket C & D

Kenya, 2018 - 2023
Data Science and Evaluation (DSE)
Agnes Kiragga
Last modified July 21, 2025 Page views 225 Documentation in PDF Metadata DDI/XML JSON
  • Study description
  • Documentation
  • Data Description
  • Get Microdata
  • Related datasets
  • Data files
  • clean_analysis_supermarket_c_d_sample
Variable Groups
  • Study abstraction
  • Food categories and groups
  • NOVA classification
  • Kenya food composition tables 2018

Variable Groups

Variable group: Study abstraction
Variables 27
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
week_date
Week date
county
County acronym
week_number
Week number from 1st january
day_year
Day of the year
total_new
Total product price
customer_type
Shopper type recorded as loyalty and non-loyalty
year
Year
quarter_date
Quarter of year
covid_period
Covid period groups
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
APHRC Microdata Portal

© APHRC Microdata Portal, All Rights Reserved. Slot Online