GitHub topics: playstore-data-analysis
Sravyatogarla/Google-Play-Store-Analytics
A detailed data analysis project exploring app ratings, installs, categories, pricing trends, sentiments, and revenue generation on the Google Play Store using Python, Pandas, and Visualization tools. Project completed as part of Null Class Training
Language: HTML - Size: 375 KB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0
GreenMeeple/LLM-App-AppCrawler
AppCrawler is a Python-based tool designed to collect app data from both the Apple App Store and Google Play Store. It focuses specifically on applications related to AI and LLMs (Large Language Models).
Language: Python - Size: 9.1 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
rohitpaul09/Tableau-Playstore-Data-Analysis
The project involved data preprocessing in Python, and the creation of Tableau dashboards on app engagement, sentiment, and revenue, all integrated into a comprehensive Tableau story.
Language: Jupyter Notebook - Size: 4.82 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
ajaygujja/Google-PlayStore-App-Review-Analysis
The purpose of our project was to gather and analyze detailed information on apps in the Google Play Store in order to provide insights on app features and the current state of the Android app market
Language: Jupyter Notebook - Size: 6.8 MB - Last synced at: about 1 year ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0
anujhsrsaini/Play-Store-Review-Scraper
Play Store Review Scraper: Fetch reviews of specified top 10 apps from search to do further analysis of reviews
Language: Python - Size: 8.79 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
samchak18/Playstore-App-Review-Analysis-EDA
AlmaBetter Capstone Project -Exploratory data analysis (EDA) is used by data scientists to analyze and investigate data sets and summarize their main characteristics, often employing data visualization methods.
Language: Jupyter Notebook - Size: 10.5 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0
vishvadesai9/Playstore_Data_Analysis
Analyzing Google playstore dataset using pandas, matplotlib and basic tkinter.
Language: Python - Size: 3.67 MB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0
sumitgirwal/google-play-store-data-analysis
This Google Play Store dataset from Kaggle, analysis using Python, NumPy , Pandas , and Matplotlib.In dataset analysis, you can view the best app 5-star rating app, most review app, or most download app, etc.
Language: Jupyter Notebook - Size: 1.98 MB - Last synced at: about 1 month ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 3
prateekmaj21/Google-Play-App-rating-predictor
Google Play App rating predictor done as a part of Summer Training 2019.
Language: Jupyter Notebook - Size: 726 KB - Last synced at: 2 months ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0
