Humans are not on the menu of sharks. Sharks bite humans out of curiosity or to defend themselves.

1. To have installed conda
2. To have installed git

The installation process is the next:

1. Clone this repository
2. Execute in the terminal

conda env create -n sharks -f environment.yaml

└── Global-Sharks
    ├── .gitignore
    ├── environment.yaml
    ├── README.md
    ├── data
    │   ├── attacks.csv
    ├── 
    │   
    └── nb
        ├── DataCleaning-sharks.ipynb

In this case, the technologies used are based on Python.

• 📊 The libraries included are the ones needed for DataCleaning : Pandas, Numpy, Matplotlib.

• The system is standalone.

The analysis made include the several steps for data cleaning

1. Erase missing values (~ 18000 rows)
2. Incorrect data types
3. Duplicate rows
4. Handling missing values
5. Standardization
6. Normalization
7. Verification & enrichment of the data

1. Improve insights
2. Improve data cleaning
   1. Data dict for replace & str.contains