What's included

• Data Cleaning & Preparation

  A cleaned and processed dataset ready for analysis. This includes handling missing values, removing duplicates, and formatting data.

• Data Analysis Report

  A comprehensive report (in PDF or Word format) summarizing the key findings of the data analysis. This will include visualizations, statistical summaries, and insights.

• Interactive Data Visualizations

  Interactive dashboards or visualizations (using tools like Matplotlib, Seaborn,, or Power BI) that allow the client to explore the data and findings.

• Python Code Files

  All Python scripts and notebooks (.py or .ipynb files) used for data cleaning, analysis, and visualization. These will be well-documented for easy understanding.

• Presentation (if need)

  A slide deck (e.g., PowerPoint, Google Slides) summarizing the analysis and insights, suitable for presenting to stakeholders.