The main objective of the project was to create a data visualization using Tableau that tells a story or highlights trends or patterns in a dataset. The main dataset used in the project contains information on the United States flight delays and performance in 2008 and comes from RITA. In the project, I have focused on highlighting general trends and patterns especially important from a passenger perspective, and factors minimizing risks related to delayed or cancelled flights.
The story has been published to Tableau Public.
This project was completed as part of Udacity's Data Analyst Nanodegree certification.
- 2008.csv - Main dataset downloaded from RITA.
- Airports.csv - Supplementary file with airport names.
- Carriers.csv - Supplementary file with carrier names.
- Plane-data.csv - Supplementary file with plane manufacturers data.
- FlighPaths2008.csv, FlighPaths2008_summary.csv - Transformed 2008.csv file to be rendered by Tableau in a way paths can be showed on a map (Dashboard7). Prepared by using FlightPaths2008.ipynb.
A set of insights into flight delays and cancellations in 2008 in the US as an interactive, online Tableau presentation. A static, preview version is available in the PDF format.
- Tableau Desktop
- Python, Jupyter Lab
- Libraries: pandas