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// repository documentation

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# Sharks

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!

A preview of one of our plots (note the "Landsharks!")
![Shark attacks](https://raw.githubusercontent.com/coristig/sharks/master/imgs/shark_outliers.png)

Packages we'll use (also listed in our `requirements.txt` file):

| Package       |    Version    |
| ------------- | ------------- |
| ggplot        |   0.11.5      |
| matplotlib    |   1.5.3       |
| numpy         |   1.11.3      |
| pandas        |   0.19.1      |
| geopy         |   1.11.0      |
| scikit_learn  |   0.18.1      |

Files include:

```
├── 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
```

sharks

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