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Taylor_Swift_Analysis_Python_LF

Objective:

  • This analysis examines success measures and sound characteristics of Taylor's music, showcasing the analytical process. The exploratory analysis also seeks to launch a larger project about Taylor’s music, targeted at music fans and non-technical audiences.
TaylorsEraDashboard

Project Deliverables

  • Tableau Dashboard here
  • Initial Data Report here

Data

  • Google Search Scores: Search popularity across album releases from Google Trends) here

  • Spotify Audio Features (Source: Kaggle user) here

  • Billboard Hot 100 Songs & Top 200 Album Charts (1958-2023, GitHub user) here

  • Week 1 Album Sales (2007-2023, manual collection)

  • Total Spotify Plays (Source: Spotify, manually imputed)

  • Data Dictionary here

  • Career Foundry Data Set here

  • Instacart Online Grocery Shopping Dataset 2017 here

Tools

Language: Python, Jupyter Notebook, Excel, Tableau

Libraries: Pandas, Matplotlib, Seaborn, NumPy, Folium, scikit-Learn

Project Folders

The analysis was stored in a file containing the following folders.

  • 01 Sourced Data: Contains the Instacart Project Brief
  • 02 Manipulated Data
  • 03 Analysis:
    • Reports Contains initial data report and project overview
    • Scripts Contains all the Python coding involved for the entire analysis process.
    • Visualizations Contains the visualizations derived from Python analysis and used for developing insights within the final dashboard

Skills Demonstrated

  • Domain Specific Research
  • Collecting open-source data & creatively wrangling datasets
  • Exploratory Data Analysis: correlation, pairplots heatmaps
  • Python visualizations
  • Geospatial analysis
  • Supervised Machine Learning: Linear Regression
  • Unsupervised Machine learning: Principle Components Analysis, K-means Clustering
  • Time-Series Analysis and Forecasting (ARIMA)
  • Differentiated Dashboard Storytelling

Notes on Data Limitations

Please see Tableau dashboard for complete information on bias and limitations, as well as access to references and further readings.