Best of Data Analysis — July 2025

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   Article

   Lonely Programmer·44w

   How SQL works....

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   Article

   Towards Data Science·44w

   I Analysed 25,000 Hotel Names and Found Four Surprising Truths

   A data scientist analyzed 25,000 hotel names worldwide using the Hotel Data API to uncover why hotels are named after cities they're not located in. The study revealed that Paris is the most borrowed city name (1,100+ hotels), followed by Vienna and Rome. Three main reasons emerged: proximity for search visibility, branding to evoke luxury and sophistication, and historical tradition dating back to 18th-century aristocratic travel patterns. The analysis used Python, pandas, and geographic distance calculations to map naming patterns across countries.

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   Article

   Machine Learning Mastery·45w

   7 Pandas Tricks That Cut Your Data Prep Time in Half

   Seven practical pandas techniques to accelerate data preparation workflows: chaining transformations with assign(), filling missing values using dictionaries in fillna(), flattening list columns with explode(), readable filtering with query(), named aggregations with groupby().agg(), date parsing with pd.to_datetime(), and building modular workflows with pipe(). These methods help reduce boilerplate code, improve readability, and streamline the data cleaning process.

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