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

CSV JSON

Quarter date (quarter_date)

Data file: clean_analysis_supermarket_a_sample

Overview

vald 473890

invd 0

Interval discrete

Decimal 0

Range 1 - 13

Questions and instructions

Literal question

Quarter date

Categories

Value	Category	Cases
1	2020.4	1734	0.4%
2	2021.1	2402	0.5%
3	2021.2	2533	0.5%
4	2021.3	2743	0.6%
5	2021.4	37082	7.8%
6	2022.1	50518	10.7%
7	2022.2	52617	11.1%
8	2022.3	54813	11.6%
9	2022.4	55645	11.7%
10	2023.1	52545	11.1%
11	2023.2	52475	11.1%
12	2023.3	52494	11.1%
13	2023.4	56289	11.9%

Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

Question pretext

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Question post text

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Interviewer instructions

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Description

Text

This question seeks to get the quarter the purchase was done

Universe

Individuals and supermarket transaction records.