authors:
- Maya Arnott
- Karolina Wiesiolek
- Casandra Laney
- Zichen Fan
Tentative Title: “Fly High”
Motivation: In recent years it seems that news coverage on airplane crashes have increased, with plane crashes posing as “click bait”. We are interested in assessing how airplane crashes have changed in severity and quantity over time and seasons of the year.
Intended Final Products: A website with our report, link to our explanatory video, and visualization of trends, risks, and potentially explore predictors of severe or fatal crashes.
Anticipated Data Sources: Aviation Crashed Flights Data on Kaggle.com and potentially use NOAA Climate data
Planned Analyses/Visualizations:
- Understand which aircraft types/models have the most crashes or
fatalities
- Rank airlines/operators by frequency or severity of crashes
- Assess whether crashes are more common in certain seasons
- Historical crash data vs their 2024 delay performance: do airlines
with higher delays also have more historical safety incidents?
- Temporal safety trends: how has crash frequency changed over
decades
Coding Challenges:
- Converting crash location (airport name) in data cell to a location on
the map
- Deciding how large the map will be (U.S. vs. whole world data)
- Deciding which data to exclude
Planned Timeline
- First week of November: Pick our topic, start the data collection and
decipher data columns
- Second week of November: Clean data and perform initial preliminary
analysis/exploration
- Third week of November: Continue to explore trends over time, across
airlines, across the U.S and start making visualizations
- Fourth week of November: Make histograms, scatterplots, and spatial
leaflet plots
- First week of December: Finalize analyses and write the report
- Second week of December: Finish writing the report and finalize the
project