Análise exploratória de dados no e-commerce do varejo supermercadista.

Abstract

The aim of this article was to analyze the purchase records obtained in the ecommerce of a supermarket retailer implemented during a pandemic, in order to deepen and understand the profile of customers. From the literature review involving the theme of innovations in retail, a study with a quantitative approach with a descriptive character was carried out. The method adopted consists of extracting data from ecommerce data sources. As a method of analysis, descriptive and inferential statistics were used from the exploratory data approach, descriptive analysis procedures were conducted to generate insights from the data obtained between April 2020 and September 2021. The analyzes were carried out with the aid of Microsoft Power BI tool and show the potential for growth if adopted as a consumer preference and highlights them, whether in the form of payment, neighborhood or social class. This research contributes to the understanding of the customer's profile, allowing for a more assertive decisionmaking for a better attendance and service provision.