I am a Junior Data Analyst working at a mid-sized company. Can you help me creating a well-structured README file that will be used by other analyst and stakeholders to understand how the dashboard was built and how to use it. For that please read and interpret the full project summary document and create README that includes: ● Project title and overview ● Dashboard purpose and goals ● Tools and data sources used ● Summary of features or metrics included ● Notes about challenges, assumptions, or future improvements """Project Summary: Customer Feedback Integration Project – Phase 1 Prepared by: Alex Rivera Lead Analyst, Data & Insights Team April 2024 Project Overview This project was initiated to improve our understanding of customer satisfaction and pain points based on direct feedback collected via our product interface. Between January and March 2024, over 10,000 feedback entries were collected through embedded surveys. This data is now being analyzed to support product development and improve customer service strategies. Project Objectives ● Identify the key drivers of customer satisfaction and dissatisfaction ● Explore trends across different demographic segments ● Produce insightful visualizations and actionable recommendations for internal teams Data Summary ● Dataset name: customer_feedback_q1.csv ● Data includes: ○ Survey responses ○ User age groups ○ Ratings (1–5) ○ Comments on product experience ○ Timestamped entries Early Insights ● Billing issues and mobile app performance are frequent topics in negative feedback ● Younger users (under 25) tend to mention UX/navigation, while users over 45 often mention support response times ● Sentiment analysis indicates an overall satisfaction score of 3.4 / 5 Next Steps ● Complete demographic-based segmentation in Python using pandas and seaborn ● Generate summary dashboards using Power BI ● Share findings with Product and Customer Service teams ● Schedule an internal feedback review session in May """