I'm sharing an Exploratory Data Analysis (EDA) and Data Visualization of the data from Spotify using Python - A Data Analysis Project performed in my journey into Data Science.

Spotify is a Swedish audio streaming and media services provider founded in April 2006. It is the world's largest music streaming service provider and has over 381 million monthly active users, which also includes 172 million paid subscribers.

• Here, l have explored and quantified data about music and drawn valuable insights.

• Conducted data cleaning to perform exploratory data analysis (EDA) and data visualization of the Spotify dataset using Python (Pandas, NumPy, Matplotlib and Seaborn).

• Data analysis - Exploring the relationship between the audio features of a song and how positive or negative its lyrics are, involving sentiment analysisand manyuy more.

• Spotify Data Analysis makes use of secondary data from Spotify. Use data to identify patterns and relationships between different characteristics. The activity will support in developing ability to review and interpret a dataset.

Prerequisite: Data Analyst Roadmap ⌛ , Python Lessons 📑 & Python Libraries for Data Science 🗂️

• Python

• Statistics

• Pandas | NumPy | Matplotlib | Seaborn

• Data Analysis with Python - by IBM

• Data Visualization with Python - by IBM

• Pandas - by Kaggle

• Numpy & Matplotlib - by Great Learning

• Databases and SQL for Data Science with Python - by IBM

• Statistics for Data Science with Python - by IBM

Kaggle Project: Spotify Data Analysis 🔗

Kaggle Spotify Datasets: Spotify Tracks & Spotify Features

1. Top 10 most popular songs on Spotify

2. Top 10 least popular songs on Spotify

3. Correlation Heatmap between Variable

4. Regression plot - Correlation between Loudness and Energy

5. Regression plot - Correlation between Popularity and Acousticness

6. Distibution plot - Visualize total number of songs on Spotify since 1992

7. Change in Duration of songs wrt Years

8. Duration of songs in different Genres

9. Top 5 Genres by Popularity

Data Analyst Roadmap ⌛

Sales Insights - Data Analysis using Tableau & SQL 📊

Statistics for Data Science using Python 📊

Kaggle - Pandas Solved Exercises 📊

Python Lessons 📑

Python Libraries for Data Science 🗂️

👉 Nominate Me for GitHub Stars ⭐ ✨

aggle