🌟Data Analysis and Simple Linear Regression

Course Project – Introduction to Data Science

This project examined how audio features such as loudness, energy, tempo, and LUFS relate to song streaming performance. My team and I used exploratory data analysis, distribution comparisons, and linear regression to evaluate relationships between variables and identify trends, outliers, and limitations in predictive strength.

Skills & Tools:

• Exploratory Data Analysis (EDA)
• Simple linear regression
• Data visualization (scatterplots, histograms, KDE plots, heatmaps)
• Statistical interpretation

If continued:
I would extend the analysis to multiple linear regression and test model assumptions more formally.

📌 Resources

• Datasets:

  Intro to Data Science: https://raw.githubusercontent.com/lilianaCortes1901/DSCSpotifyFinal/refs/heads/main/FINAL-spotify-2023.csv

• Google Colab Notebooks:

  Intro to Data Science:https://colab.research.google.com/drive/1Th5OaStwPWJmNvaRTws1Es4If84AVimv?usp=sharing

• Final Projects:

  Spotify Presentation.pdf