In this project, we were tasked with creating plots which answer questions for analysing "historical_automobile_sales" data to understand the historical trends in automobile sales during recession periods. We employed a number of data wrangling techniques before performing EDA adn then setting up a dashboard to visualize the results in realtime.
Programming, Python, SciPy, Numpy, Pandas, Seaborn, Matplotlib, Plotly, Dash, Folium, Dataframes, ETL &| ELT & Data Pipelines, Data Modeling, EDA, Data Visualization, Data Summarization, Data Reporting, Dashboards, Communication