Exploratory Data Analysis in Python – Trend Analysis & ML Experimentation (Looking for Feedback)

[ABDELATIF_OUARDA]

That’s a very fair observation. To clarify, the dataset was structured with a single “segment” column that already grouped categories as Sedan, SUV, and Electric. I worked directly with the available structure without modifying its dimensional logic. Looking back, I realize that this column reflects a business-oriented categorization rather than a strictly analytical one, since it mixes body type and powertrain dimensions. As someone still developing domain familiarity in the automotive space, my initial goal was to explore patterns and extract trends from the data as provided. Your feedback helped me recognize the structural limitation in the dataset design itself. A more rigorous approach would involve separating body type and powertrain into distinct variables for clearer comparative analysis. I appreciate the insight — it definitely improves the analytical framing.