EDA in Public (Part 2): Product Deep Dive & Time-Series Analysis in Pandas

Exploratory data analysis is performed on a sales dataset using the Pandas library to answer key business questions about product performance and sales timing. The analysis identifies top-performing products by both sales volume and total revenue, highlighting a single dominant product and significant income from service fees. By engineering features from date information, the analysis reveals strong seasonal trends, including a major Q4 sales peak and a surprising surge in January. These insights help determine the best time to sell products and optimize operational schedules based on the busiest days and hours.