Analyzing Automotive Trends

My objective is to delve into a comprehensive car dataset, extract meaningful insights, and design an interactive analytical dashboard. This endeavor unfolds through various phases. I begin by collecting a robust dataset containing details on car make, model, year, price, mileage, fuel efficiency, and customer reviews. Data cleaning follows, ensuring accuracy by addressing missing values and standardizing formats. Exploratory Data Analysis (EDA) reveals initial insights, while data preparation readies the dataset for dashboard creation. Using data visualization tools like Power Bi or Python libraries, I design an intuitive dashboard with interactive elements. This project's essence lies in the extraction of actionable insights from the data,highlighting trends and correlations. Throughout the process, I maintain thorough documentation, allowing me to present findings effectively to stakeholders and potentially deploy the dashboard for easy access. This project not only provides valuable insights into the automotive industry but also equips me with the skills to create impactful analytical dashboards for various domains.