Great Lakes Ice Coverage, Forcast & Anomalies Detection
Great Lakes Ice Coverage, Forcast & Anomalies Detection
Project Summary
Dashboard analyzed the U.S. great lake maximum ice coverage, forecast, and anomalies over the years.
Project Date: March 11, 2021.
Skills Used:
- Power BI to analyze, model, format tables, and data visualization.
Desired Insights:
- Which lake has frozen completely over most often?
- Is ice coverage trending upward over time for any lake?
- What is the projected average ice coverage in 2030?
- Which lake contributed most to data anomalies?
Interested in the challenge?
The Dataset: Challenge on Workout-Wednesday (2021) Week 7 and 9.
Data Source: National Oceanic and Atmospheric Administration- NOAA’s Great Lakes Environmental Research Laboratory via data.world.