Evaluation
There are two different questions in the sections below. Applicants are expected to complete bothquestions in code (Python/ R) or logic flows, and submitted in any presentation format (i.e. HTML, PDFetc.) Applicants should summarise the steps that they undertook and describetheir considerations taken.
All of these should be submitted by the deadline given.
Section 1: Quantity Estimation
Dataset
Sales of two generic cigarettes across 488 stores were recorded for 2 weeks. Each cigarette is tracked through two los across independent stores, one for sale of a single-pack and one for sale of a multi-pack.
Requirement
1. Investigate data quality problems within the transactional dataset and propose generalizable, scalable methods to manage identified issues.
2. Estimate the total number of units sold across the time period for each cigarette. Applications are examined based on the quality of considerations that was given to the estimation process.
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