Selected Project · Data

From Raw Data to Data-Driven Insights

Retail Customer Review Data Quality & Analysis

Project Method

Five stages from data quality to business insight.

A

Data Cleaning & Validation

Cleaned and validated a large customer-review dataset by identifying missing values, duplicate records, formatting inconsistencies, and invalid entries.

B

Data Preparation & Exploration

Organized and prepared the cleaned dataset to identify patterns, distributions, and changes over time.

C

Text & Sentiment Analysis

Prepared customer-review text and analyzed sentiment patterns to better understand customer experiences.

D

Data Integration & Analysis

Integrated customer-review data with external economic data to explore relationships and trends.

E

Insights & Reporting

Translated analytical findings into clear business insights and practical recommendations.

Analysis Output

Ratings distribution and key observations.

Distribution of customer ratings and key observations
Distribution of customer ratings and observations from the selected project.
Sentiment Analysis

Understanding the balance of customer sentiment.

Distribution of customer sentiment and sentiment classification
Customer sentiment distribution and classification used in the project analysis.