Ice skating has emerged as an unexpected yet increasingly popular leisure activity in the Philippines, defying the country's tropical climate with modern indoor rinks that have become attractive destinations for locals and visitors alike. What started as a niche pursuit in the back in the days has blossomed into a beloved pastime, offering Filipinos a unique and exciting way to spend time with family and friends. Despite the warm weather outside, stepping onto the ice at these urban rinks has become a thrilling experience for many, highlighting the country's diverse recreational landscape.
For this notebook, the review data that was scraped from several ice skating branches in the Philippines specifically from Google Maps will be used to perform exploratory data analysis (EDA) and sentiment analysis. Here is the main question that we aim to answer given the data:
Do I expect a good time ice skating here? TLDR: Yes
However, the questions are not limited from those. Also, finer details regarding the data will also be investigated along the way.
- data_scraping.ipynb - Contains scripts in cells used to scrape review data.
- eda_sentiment.ipynb - Shows scripts and outputs for conducting preprocessing, exploratory data analysis, and sentiment intensity analysis.
- requirements.txt - Contains the libraries and versions used. You may use
pip install -r requirements.txtinside your virtual environment. - dataset - Folder that contains CSV datasets from three branches.
- results_csv - Folder that contains CSV files for combined data, preprocessed data, and data with outputs from sentiment intensity analysis.
Feel free to explore and use the dataset for your projects. It would be interesting to see what you came up with that I might have missed out.