The purpose and goal of this app is to analyze two data sets on apps in both the Google Playstore, and the Apple App Store to identify which type of apps are likely to attract more users. The criteria used in this analysis include only free apps and apps in the english language.

Source of Google Data: https://www.kaggle.com/lava18/google-play-store-apps

Source of Apple Data: https://www.kaggle.com/ramamet4/app-store-apple-data-set-10k-apps

*This was a guided project a part of Dataquest project: Profitable App Profiles for the App Store and Google Play Market

Project : https://github.com/cybersecurebyte/Dataquest_projects/blob/main/appAudienceEngagement.ipynb

Code: https://github.com/cybersecurebyte/Dataquest_projects/blob/main/appAudienceEngagement%20(1).py

The purpose of this project was to analyze a subset of submissions to the Hacker News website who's post were either question post, or project/product post to determine which post recieve more comments on average, and which times could posting acquire the most comments.

Project:https://github.com/cybersecurebyte/Dataquest_projects/blob/main/HackerNewsProject.ipynb

Code:https://github.com/cybersecurebyte/Dataquest_projects/blob/main/HackerNewsProject.py