felipenogson / musicanalista

It's a Web app where you can find information about the best album that was released in any given year.

Music Analista

It's a web app where you can find the best album released in the year given.

Check out the web app working on MusicAnalista

Check out the code on Github

Watch the Notebook for the data on Google Colab

Download the dataset from Kaggle

I would appreciate if you could give me some advice about… [email protected]

FAQ

What is this?

These are the results that I found exploring a dataset about music albums,

Why?

What can I say, I love music. Also, I love to code too, so I add a small feature where you can search for the best album released in the year specified.

Where does this data come from?

I found this data set on Kaggle

Context This dataset contains the top 5000 albums of all time as decided on by the users of rateyourmusic.com.

Content The dataset was acquired by scraping on 12 October 2021. It contains 5000 ranked albums including ranking, album name, artist name, release date, genres, descriptors, average >rating, number of ratings, and number of reviews.

The scraper can be found at this GitHub repo. --Description from Kaggel site

You should be very busy, isn't it?

Thanks for asking. Actually no, I don't do this for a living, but I love to do it, so what I am trying to say is that I am open to work. If you think that I can help you or your team, don't hesitate to contact me at [email protected].

Tech Stack

Client: HTML, CSS, Javascript, Bootstrap 5, </>htmx,

Server: Python, Flask

Data Exploration: Pandas, Google Colab

Libraries and APIs: Wikipedia, MusicBrainz

Authors

Feel free to contact me, I'm a random guy who loves to code.

• @felipenogson
• My Blog (not tech-related)
• Email: [email protected]

🛠 Skills

Linux, Python, Flask, SQL, Javascript, HTML, CSS, Bootstrap ...

Acknowledgments

• Open Source Community For all the free software and technology.
• Bootwatch Beautiful themes for bootstrap
• The tree tree top For the very nice illustrations.
• icon 'ninja' from loading.io
• Kaggle For the Data

Feedback

If you have any feedback, please reach out to [email protected]