• My first exercises in DataScience with python!!

• Python version 3.6 or above;
• Anaconda and Python DataScience Stack (pandas in particular);
• Jupyter Notebook

Installing Pandas

• If you have the anaconda python installed, the pandas library is already installed. Else, open the cmd/prompt and type:

pip install pandas

Running the Project

• Download this repository, open the cmd/prompt in the downloaded files directory and type:

jupyter notebook

• DataSets: the datasets used in the exercises can be found in the folloiwn Kaggle links:

- purchases.txt: https://www.kaggle.com/datasets/dsfelix/purchasestxt
- access_log: https://www.kaggle.com/datasets/dsfelix/access-log
- forum_users.tsv: https://www.kaggle.com/datasets/dsfelix/forum-users
- forum_node.tsv: https://www.kaggle.com/datasets/dsfelix/forum-node

• If you have ideas of how to improve the code and the analysis, feel free to create branches of this project!!

Email: [email protected]

Linkedin: linkedin.com/in/csfelix/

Instagram: instagram.com/c0deplus/

Portfolio: CSFelix.io

Kaggle: DSFelix