Clean
Prepare application and review data for reliable exploratory analysis.
03 / DATA ANALYTICS · EXPLORATORY ANALYSIS
Play Store App
Review Analysis
An exploratory data analysis project using Google Play Store application and review data to investigate ratings, installs, reviews, app characteristics and customer sentiment.
PROJECT TYPEExploratory Data AnalysisSTACKPython · Pandas · NumPyFOCUSCleaning · EDA · Sentiment · Insights
01
Analytical workflow
RAW DATA→CLEANING→EDA→SENTIMENT→INSIGHTS
Explore
Study relationships among ratings, installs, reviews, categories and app attributes.
Measure sentiment
Use review sentiment and polarity/subjectivity measures to understand customer feedback.
Translate
Turn analytical observations into business-oriented findings that can support the dashboard layer.
02
Analytical focus
APP LANDSCAPE
Explore category distribution and the characteristics of applications across the Play Store dataset.
ENGAGEMENT
Examine installs and review volume as indicators of application reach and user engagement.
RATINGS
Investigate rating distributions and relationships with other application metrics.
CUSTOMER VOICE
Analyze review sentiment to add qualitative context to quantitative application metrics.
03
Role in the portfolio
This project is the analytical foundation of the Play Store portfolio work. The exploratory findings and cleaned data inform the subsequent Power BI dashboard, creating a clear progression from raw data → analysis → visualization → business insight.