Exploring Google Play Store apps dataset to identify key factors for app engagement and success, revealing correlations between reviews, installs, categories, ratings, and user preferences.

Exploring Google Play Store apps dataset to identify key factors for app engagement and success, revealing correlations between reviews, installs, categories, ratings, and user preferences.

通过 python 脚本将两个相对不完整的文档合并为一个完整的文档 / merge two relatively incomplete documents into one complete document via python script

Exploring Google Play Store apps dataset to identify key factors for app engagement and success, revealing correlations between reviews, installs, categories, ratings, and user preferences.

This comprehensive analysis delves into the crucial role of cash holdings in determining a firm's future performance and market dynamics.

Data Analysis: Merge, Impute, and Interpret

A versioned, distributed key-value store designed with a focus on data integrity. Each value boasts a comprehensive history, ensuring eventual consistency across the system. It features seamless merging capabilities to harmonize divergent data states.

In a distributed survey conducted via Amazon Mechanical Turk between December 3rd and 5th, 2016, data was collected from 30 Fitbit users. These users consented to sharing their minute-level physical activity, heart rate, and sleep monitoring data.

Analyzed the World Economic Indicator Dataset to investigate the factors driving sustainable economic growth in countries and regions. Delivered insights on strategies for achieving long-term economic stability.

This project provided practice with the pandas library and data analysis