Ever wondered how a brand's product lineup varies from one region to another? In this repository, I perform an analysis on three of La Prairie’s english websites. To be more specific, websites for regions that have the option to display information in English. The regions are The United States (us), Great Britain (gb) and Hong Kong (hk). This analysis aims to illustrate how La Prairie obtained its prestigious status as one of the leading luxury skincare brands globally, explore different insights from reviewing the brand’s various regional websites and finally, identify potential business opportunities for La Prairie from the perspective of a dedicated skincare enthusiast.
File Name | Data Description |
---|---|
laprairie_data.csv | source data |
laprairie_data_transformed.csv | final cleaned dataframe |
laprairie_product_count_regions.csv | common product count (us, gb, hk) |
laprairie_price_display_status.csv | brand's regional website's price display status |
- Web scraping program
- Key libraries: httpx, selectolax, dataclasses and csv
- Jupyter notebook with annotations detailing each stage of preprocessing web scraped data
- Data exploration process
- WordCloud, Seaborn and Plotly visualizations
A document with a brief history of the brand, along with insights and opportunities for La Prairie products and website development