ADIDAS Sales Analysis - Prayag Padwal su Medium

Articolo molto utile per capire cos'è, come si fa e a cosa può servire l'analisi dei dati. Partendo dal dataset delle vendite dell'Adidas (scaricabile gratuitamente da kaggle) l'autore ci guida passo passo nella fase di pulizia, trasformazione, analisi e rappresentazione dei risultati. Un buon esercizio potrebbe essere quello di ripetere l'analisi usando strumenti diversi da quelli impiegati (Python + Tableau), ad esempio Knime o Knime + Power BI.

In the fiercely competitive world of sports apparel, understanding market trends, consumer preferences, and sales dynamics is crucial for staying ahead. Adidas, a global leader in this industry, is no stranger to these challenges. In this in-depth analysis, we dive into a comprehensive dataset to uncover the hidden patterns and strategies behind Adidas’ sales triumphs.

Our exploration reveals fascinating insights into several key aspects: from sales performance and product popularity to regional market variations and efficiency of sales methods. We delve into questions such as which products are leading in sales, which regions show robust performance, and the interplay between profit margins and sales figures.

This article presents our findings from an exhaustive exploratory data analysis (EDA), offering a rare glimpse into Adidas’ business strategies. Whether you’re a marketing professional, a data enthusiast, or simply a fan of the brand, join us in uncovering the secrets behind Adidas’ success story, one data point at a time.

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