https://github.com/sckonung/padnas_spotify_analyze
Data Transformation and Visualization For Dataset
https://github.com/sckonung/padnas_spotify_analyze
data-science data-visualization pandas plotly python
Last synced: 3 months ago
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Data Transformation and Visualization For Dataset
- Host: GitHub
- URL: https://github.com/sckonung/padnas_spotify_analyze
- Owner: scKonung
- License: mit
- Created: 2024-08-07T14:52:55.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2024-08-19T12:57:09.000Z (almost 2 years ago)
- Last Synced: 2025-07-10T08:02:48.021Z (12 months ago)
- Topics: data-science, data-visualization, pandas, plotly, python
- Language: Jupyter Notebook
- Homepage:
- Size: 353 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Music Data Visualization | Transformation | Analysis
## Description
This project explores the dataset [Most Streamed Spotify Songs 2024
from Kaggle](https://www.kaggle.com/datasets/nelgiriyewithana/most-streamed-spotify-songs-2024/code).
My objective is to uncover insights by performing the following steps:
- Data Overview: Examine and summarize the dataset to understand its structure and contents.
- Data Cleaning: Identify and rectify any inconsistencies or missing values in the data to ensure accuracy.
- Data Transformation and Visualization: Transform the cleaned data into meaningful visualizations to highlight trends and patterns.