تفاصيل العمل

Step 1 – Data Analysis with Python

• Cleaned & processed the dataset for accuracy.

• Performed EDA (Exploratory Data Analysis) to detect patterns and trends.

• Created insightful visualizations with Matplotlib & Seaborn.

Step 2 – Interactive Dashboard in Power BI

• Built a dynamic Power BI dashboard to monitor global and country-level stats in real-time.\

• Integrated slicers, maps 01F

310 , and trend charts for a deeper exploration.

Key takeaway:

Combining Python for deep analysis + Power BI for interactive storytelling is a powerful way to communicate complex

data clearly and impactfully. | https://

github.com/Waliedeltanany...

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