A "deep dive" into global shark attack data. Some questions we'll try to answer:
- What types of activities are most correlated with shark attacks?
- Where do most shark attacks occur?
- What species are responsible for the most attacks (fatal attacks)?
In doing this, we'll do a bit of plotting (barcharts and the like), as well as attempt to visualize the geospatial nature of shark attacks!
Packages we'll use (also listed in our
├── README.md ├── Rodeo_sharks_part1.py #Part 1 of script (plotting, activites) ├── Rodeo_sharks_part2.py #Part 2 of script (geocoordinate plotting) ├── data │ ├── GSAF5.xls #File from ISAF (http://www.sharkattackfile.net/spreadsheets/GSAF5.xls) │ └── sharks_coords.csv #csv with longitude and latitude computed ├── imgs │ ├── USA_sharks.png │ ├── fatal_shark_attacks_by_activity.png │ ├── shark_activities.png │ ├── shark_attacks_by_activity_type.png │ └── shark_outliers.png └── requirements.txt