Create a cli for the analysis #3
Description
Please go through the readme to get a background of the problem.
This is where you let your creativity shine. 🌟
To streamline the analysis process and gain valuable insights, you will contribute to developing a robust command-line interface (CLI) for this project. While Typer is the preferred tool for this purpose, you can choose any suitable tool for implementation.
The CLI will offer extensive functionality, enabling us to generate a comprehensive report on the top 5 most frequently used libraries within each of the predetermined categories. These categories will provide a clear and organised framework for understanding the purpose and usage of each method in the context of data analysis.
Moreover, the CLI will filter out libraries that Antigranular already supports, ensuring that our analysis focuses on identifying additional libraries that can enhance our data analysis capabilities further. This will help us uncover new and emerging trends in the data analysis landscape and make informed decisions regarding the integration of new libraries.
Further enhancing its flexibility, the CLI will allow users to personally tailor their analysis by excluding specified libraries. This functionality ensures that our final report accurately reflects library usage preferences.
Another feature of the CLI is its ability to integrate additional data into the methods table. By considering user-provided information, we can enrich our analysis, thus enhancing the overall accuracy and comprehensiveness of our findings.
Lastly, the CLI will reveal the degree of coverage that Antigranular provides for various functions. This insight is crucial in evaluating how closely Antigranular aligns with the needs and requirements of data analysts. Consequently, we can strategise areas for improvement, ensuring Antigranular's place as a cutting-edge tool in the fast-evolving field of data science.