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.

Data Analysis: Merge, Impute, and Interpret

A comprehensive guide to mastering Pandas for data analysis, featuring practical examples, real-world case studies, and step-by-step tutorials. For general information, see

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.

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.

This project provided practice with the pandas library and data analysis

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.

Research Proposals RP Python Java

Data Analysis with the Pandas Library 📊

In-depth Data analysis and visualization of Medicare inpatient hospital data.

Merge CSV/TXT/SQL files for harmonized ELN import; supports joins and preview with export

Data Analysis with the Pandas Library 📊

This repository is dedicated to showcasing the academic projects completed during my Master in Data Science & AI. The main objective is to show a collection of projects in various data science fields, including: data cleaning & preprocessing, data analysis, data visualization, machine learning, clustering, among others.

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.

Developed a movie recommendation system by sourcing data from the New York Times Article Search and The Movie Database APIs. Extracted, merged, and cleaned data to create a comprehensive dataset, enabling users to find movie reviews and related titles based on their preferences.