This code reads data from Excel files, visualizes selected columns using line plots, and combines multiple Excel files into one dataset. It uses Pandas for data handling, Glob for finding files, and Matplotlib for plotting. The final combined data is saved in both Excel and CSV formats for future analysis and visualization.

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.

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.

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

An end-to-end data science project analyzing internal and external drivers of rental prices across Victoria, Australia. The project includes web scraping, data preprocessing, geospatial integration, exploratory data analysis, and predictive modeling. Built using Python, Pandas, GeoPandas, Scikit-learn, and web scraping frameworks.

This repository contains experiments on data wrangling techniques, focusing on methods for handling missing values, filtering, aggregation, and more.

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

Combine Airbnb data from CSV, Excel, and TSV files to analyze prices, reviews, and room types in NYC’s rental market using pandas.

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

Python Java. Research Proposal RP

Deterministic ETL pipeline for candidate profile unification using structured and unstructured data with provenance tracking, confidence scoring, and an interactive Flask dashboard.

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

A lightweight PHP utility designed for developers to efficiently merge and display fruit-themed array datasets.

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

Data Analysis with the Pandas Library 📊