O que realmente faz um cliente deixar nota 1? Analisei 99 mil avaliações da Olist pra descobrir

1. 1Load the Olist dataset from Kaggle and clean the data by treating formatting issues in pricing fields
2. 2Explore the overall business behavior using the cleaned data
3. 3Identify the frequency and characteristics of 1-star reviews to determine patterns and trends
4. 4Analyze the results to determine the root causes of 1-star reviews and develop strategies for improvement
5. 5Apply data visualization techniques to communicate findings and recommendations to stakeholders

Data scientists and analysts can benefit from this article to improve their understanding of customer behavior and develop strategies to enhance customer satisfaction

💡 1-star reviews are often caused by specific issues that can be addressed through data-driven strategies

📊 Analyzing 99k customer reviews from Olist reveals the reasons behind 1-star ratings. Improve customer satisfaction by identifying patterns and trends!