https://github.com/nguyendangxuanlinh/mobile_app_profiles
https://github.com/nguyendangxuanlinh/mobile_app_profiles
Last synced: 3 months ago
JSON representation
- Host: GitHub
- URL: https://github.com/nguyendangxuanlinh/mobile_app_profiles
- Owner: NguyenDangXuanLinh
- Created: 2023-10-04T06:50:18.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-04-25T11:14:21.000Z (about 1 year ago)
- Last Synced: 2025-01-30T13:32:42.816Z (5 months ago)
- Language: Jupyter Notebook
- Size: 835 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Profitable App Profiles for App Store and Google Play Markets
Our aim in this project is to find mobile app profiles that are profitable for the App Store and Google Play markets. We're working as data analysts for a company that builds Android and iOS mobile apps, our job is to enable our team of developers to make data-driven decisions with respect to the kind of apps they build.
# Problem Statement
At our company, we only build apps that are free to download and install, and our main source of revenue consists of in-apps ads. This means that our revenue for any given apps is mostly influenced by the number of users use our apps. Our goal of this project is to analyze data to help our developers understand what kinds of apps are more likely to attract more customers.
# Key Insights
1. Turning popular books (and more recent books) into an app could be profitable for both the Google Play and the App Store markets.
2. The markets are already full of libraries, so we need to add some special features besides the raw version of the book:
+ Daily quotes form the book
- An audio version of the books
- Quizzes on the books
- A forum where people can discuss the book
# Python skills
Open and explore the data
Delete wrong data
Remove duplicate entries
Remove non-English Apps
Isolate the Free Apps
Sort most common apps by Gender
Sort most popular apps by Gender