- 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.
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Google Search Scores: Search popularity across album releases from Google Trends) here
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Spotify Audio Features (Source: Kaggle user) here
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Billboard Hot 100 Songs & Top 200 Album Charts (1958-2023, GitHub user) here
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Week 1 Album Sales (2007-2023, manual collection)
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Total Spotify Plays (Source: Spotify, manually imputed)
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Data Dictionary here
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Career Foundry Data Set here
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Instacart Online Grocery Shopping Dataset 2017 here
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
- 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
Please see Tableau dashboard for complete information on bias and limitations, as well as access to references and further readings.