chore: Set the framework for data analysis.

[GabyGO2108]

Summary 💡

Set the languages, libraries and frameworks for the data analysis

Acceptance Criteria

• [x] Define the general working framework used in data analysis within the context of data science (Platzi's Data Science School)
• [x] Look in Kaggle if the data base for the project has any programming language used by peers for data analysis
• [x] Define the programming language the team is most familiarized with
• [x] Choose the programming language based on a team consensus
• [x] Define the packages and libraries that are going to be used based on the previews points
• [x] Define the scope of the project

[GabyGO2108]

This issue contains the criteria for choosing the programming language(s) to be used for the data analysis step of the project.

[GabyGO2108]

The programming language we'll be using based on the acceptance criteria, is Python, with these libraries (Numpy, Pandas, matplotlib, seaborn and sklearn), and this package for NLP (Natural Language Toolkit -NLTK-).

As for the scope, it will be as follows:

• Make the table for the historical data of the transactions, make the proper comparisons of the "product_category_name" with other e-commerce(s), and the analysis of the comments of the reviews and the scores of said reviews.

[felipesaldata]

Issue completed 😁