Car Sales Data Analysis & Visualization(July 2025)

Tools: Python (Pandas, Matplotlib, Plotly)

Process:

Data Cleaning: handled missing values, standardized date formats, created new features

(e.g., Y earMonth, combined make + model into product name).

Exploratory Data Analysis (EDA): identified sales trends, top-selling models, and

geographical sales distribution.

Visualization: built clear and interactive charts to communicate insights effectively .

Key Insights:

Sales showed seasonal trends across months

Top 10 car models generated the majority of revenue

Certain U.S. states consistently outperformed others in total sales

Long-term time-series analysis revealed fluctuations and potential seasonality in sales

performance