This project features advanced data wrangling on three Twitter datasets related to dogs. One dataset contains predicted dog breed types from a model, though no modeling code is included. The focus is on cleaning, merging, and performing some exploratory data analysis (EDA) to uncover insights about dog breeds and Twitter activity within the data.
- Python: Core programming language used for data analysis and scripting
- Jupyter Notebooks: Interactive notebooks used for exploratory data analysis, visualization, and documenting code workflows
- HTML: For exporting notebook reports and data visualization dashboards