This project is the culmination of my work in the IBM Data Visualization course. It involves the creation of an interactive dashboard using the Dash framework and Plotly to visualize statistical data for an anonymous automobile company. The dashboard is structured into two distinct reports, each providing valuable insights into the company's performance.

• Yearly Average Automobile Sales (Line Chart): Explore the overarching trend in annual automobile sales over the entire data period.

• Chosen Year's Insights:

  • Total Monthly Automobile Sales (Line Chart): Dive into the sales performance on a monthly basis for the selected year.

  • Average Monthly Automobile Sales by Vehicle Type (Bar Chart): Gain insights into the performance of each vehicle type, showcasing their monthly averages.

  • Total Advertisement Expenditure by Vehicle (Pie Chart): Understand the allocation of advertisement expenditure among different vehicle types.

• Average Automobile Sales during Recession (Line Chart): Visualize how the company performed during recession periods, providing a clear understanding of its resilience.

• Average Number of Vehicles Sold by Vehicle Type (Bar Chart): Analyze the sales distribution among various vehicle types during recession periods.

• Total Expenditure Share by Vehicle Type during Recession (Pie Chart): Explore the company's expenditure allocation during economic downturns, shedding light on resource management.

• Effect of Unemployment Rate on Vehicle Type and Sales (Bar Chart): Uncover the correlation between the unemployment rate and the performance of different vehicle types, providing a deeper understanding of market dynamics.