This repository contains a data analysis project on the Google Play Store apps, utilizing Python libraries such as Pandas, NumPy, Matplotlib, and Seaborn. It includes Jupyter Notebooks for data exploration, visualization, and insights into app trends, user ratings, and category performance.
From the README
Google Play Store Data Analysis 📌 Project Overview This project is an extension of my training project, enhanced with additional analytics and visualizations as part of my internship tasks at ElevanceSkills. The analysis focuses on understanding app trends, user ratings, reviews, category-wise performance, and task-based active time analytics. --- 📊 Dataset Used • Google Play Store Apps Dataset • Source: Training-provided dataset (same dataset used during training) --- 🛠 Tools & Technologies • Python • Pandas • NumPy • Matplotlib • Seaborn • Jupyter Notebook --- 📈 Key Analysis & KPIs • Category-wise app distribution • Rating vs Reviews analysis • Free vs Paid apps comparison •...
Skills
- Jupyter Notebook
- HTML
