This repository contains code and data for a project focused on visualizing flight crashes from 1980 to 2022. The project aims to analyze trends, causes, and safety improvements within the aviation industry over the past few decades.
This project was developed by Inforgraphic Innovators. For INFO 526 - Data Analysis & Visualization at the University of Arizona, taught by Dr. Greg Chism. The team is comprised of the following team members.
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Team member 1: Eshaan Mathakari: First-year graduate student in Data Science at University of Arizona., github: @eshaanmathakari
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Team member 2: Bharath Velamala, First-year graduate student in Data Science at University of Arizona., github: @bharath03-a
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Team member 3: Thanoosha Naidu Karri, First-year graduate student in Data Science at University of Arizona., guthub: @thanooshakarri
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Team member 4: Antonio Escalante Jr, First-year graduate student in Data Science at University of Arizona., github: @datalyticsintel
Affiliation: School of Information, University of Arizona
To get started with this project, follow the instructions below.
Ensure you have the following prerequisites installed:
- R (version 3.3.0+)
- RStudio (optional but recommended)
- We have implemented visualizations related to flight crashes using the NTSB data.
- We have implemented:
- A Time Series Analysis plot with animation.
- A Radial Bar Plot distinguishing total crashes and total injuries across different flight phases.
- A Radar Plot Visualizing total crashes across different months.
- A Heat-Map Plot to visualize at what places in the US most crashes have been recorded.
- A Waffle Plot showing the reason behind the crash which levarages an additional
probable causedataset. - A Density Plot which shows the fatality of crashes over the past 4 decades.
Derived from the original data viz course by Mine Çetinkaya-Rundel @ Duke University