IBM Data Visualization with Python

This is a Data Visualization with Python Project (part of Coursera IBM Data Science Professional).

Hands-on Assignment: Data Visualization US Domestic Airline Flights Performance

Instruction

• Created a dashboard using Plotly and Dash.
• Visualization types included: pie charts, choropleth maps, treemaps, line charts, and bar charts.
• Using Pandas, Matplotlib, Seaborn, and Folium.

Dashboard result

1. Initially the dashboard will be empty

2. Have two reports(Airline Performance and Delay Reports).

2.1 The Airline Performnance Report

• It has a treemap(Number of flights flying to each state from each reporting airline).
• Pie chart(Percentage of diverted airport landings per reporting airline).
• Map(Number of flights flying from each state).
• Bar chart(Number of flights under different cancellation categories).
• Line chart(Average flight time by reporting airline)

2.2 The Airline Delay Report

• It contains line charts showing average carrier.
• Weather
• NAS
• Security
• Late aircraft delay times