Global Internet Shutdown Analysis What the
Neha Madrala
Global Internet Shutdown Analysis
What the project was about:
I analyzed global internet shutdown data to understand where, when, and why shutdowns happen. The goal was to uncover patterns across countries and time periods and highlight their impact on digital access.
What I did:
Collected and cleaned real-world dataset
Performed EDA (Exploratory Data Analysis)
Analyzed shutdowns by:
Country
Year/month
Reasons (political, security, protests, etc.)
Built Power BI dashboards to visualize trends
Identified high-risk regions and frequent shutdown patterns
Key Findings:
Certain countries showed repeated shutdown patterns over time
Most shutdowns were linked to:
Political instability
Government control during protests/elections
Some regions experienced long-duration shutdowns, affecting communication and businesses
There was a rise in shutdown frequency during specific global events
Challenges I faced:
Data cleaning issues
Missing values, inconsistent country names
Unstructured reasons
Different formats for shutdown causes → needed standardization
Time-based analysis
Converting dates and extracting meaningful trends
Visualization complexity
Making dashboards simple yet insightful
How I solved them:
Cleaned and standardized data using Python (Pandas)
Grouped and categorized shutdown reasons
Used time-series analysis for trends
Designed clear and interactive Power BI dashboards
Impact / Outcome:
Provided a clear view of global digital disruptions
Helped identify high-risk regions and key causes
Created dashboards that make complex data easy to understand
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Posted Apr 21, 2026
Global Internet Shutdown Analysis What the project was about: I analyzed global internet shutdown data to understand where, when, and why shutdowns happen. T...
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