Data Science at My MobApp Studio

Market Insights for Our New App Welcome Project Goals The analysis aims to answer key questions: What is the size of the mobile app market (downloads and revenue)? How does this break down by category (percentages)? For each category, what is the ratio of downloads per app? What additional insights can guide our decision-making? To achieve this, I built a Jupyter Notebook with functions for loading, cleaning, and analyzing the dataset. Alongside the notebook, this blog post summarizes the findings with clear visualizations. Analysis & Visualizations 1. Most Popular Paid Apps in the Family Category A bar chart highlights the top paid apps in the Family category, showing which titles dominate downloads and revenue. 2. Popular Genres by Installations (Paid Family) A pie chart illustrates the distribution of installations across genres within paid family apps, helping us identify where user interest is strongest. 3. Installations per Category We created an array showing the number of insta