I have been provided with csv dataset to perform and in depth exploratory data analysis to understand the variables in the dataset and their relationship.
- To do analysis required knowledge of python.
- Use jupiter notebooks to access the instructions file and workspace
- To use jupiter notebooks should have an installation of anaconda
- To do analysis i need libraries are required and have to be imported
- pandas for intracting and manipulating the data
- numpy
- seaborn to do visualisation of the data
- Launch anaconda and open jupiter notebooks
- Navigate to the folder on the local machine containing the weight_class_data.csv
- Open data_science_case_study.ipynb notebook
- Upload the weight_class_data.csv into your jupiter notebook.
- Run import the above libraries and run all the whole