Colombo Cafes 🍵: Ratings & Insights Dataset

The "Colombo Cafes 🍵: Ratings & Insights Dataset" offers a detailed exploration of the café scene in Colombo, designed to cater to a variety of data science projects. This dataset is primed for in-depth analyses, from understanding consumer preferences to predictive modeling despite its concise size.

Overview

This dataset provides a snapshot of Colombo's vibrant café culture, encapsulating key data points that reflect the diversity and richness of the city's coffee spots. It serves as an essential tool for those looking to delve into the dynamics of the café industry in Colombo.

Data Science Applications

The dataset's structured format and comprehensive data points make it an ideal candidate for a range of data science applications. Researchers and analysts can employ this dataset for exploratory data analysis, sentiment analysis, trend identification, and even for developing sophisticated machine learning models aimed at predicting café popularity or customer preferences.

Column Descriptors

After refinement, the dataset comprises several key columns:

• title: The unique name of each café, crucial for identifying and distinguishing between different establishments.
• totalScore: The average customer rating for each café, on a scale from 1 to 5, with missing values imputed with the dataset's mean score to ensure data consistency.
• reviewsCount: The number of reviews for each café, providing insights into customer engagement; missing values are set to zero.
• street, city, countryCode: These columns offer detailed location information for each café, enabling geographic analyses and mapping.
• website: The official website URL for the café, where available, providing a direct link for further information.
• phone: The contact number for each café, facilitating communication and inquiries.
• categoryName: The classification of the establishment (e.g., Café, Coffee Shop), useful for segmenting and analyzing the data.

Ethically Mined Data

This dataset is compiled with strict adherence to ethical data mining practices, ensuring the privacy and confidentiality of all sourced information while maintaining high standards of data accuracy and integrity.

Acknowledgements

Gratitude is extended to platforms such as Google, whose repositories of user-generated content have been invaluable in assembling this detailed dataset. Their contribution has been instrumental in capturing the essence of Colombo's café culture.

Image Acknowledgement

The dataset is enhanced by visual elements that depict the ambiance and aesthetic of Colombo's cafés, with specific recognition given to an image accessible here, enriching the narrative and offering a visual representation of the data contained within.