🔍 In this video, we dive deep into a dataset containing daily reports to uncover fascinating insights and trends! From analyzing report types and backup elevations to exploring geospatial patterns, we’ve got it all covered.
Here’s what we’ll explore:
Report Type Distribution: How different report types are distributed in the dataset.
Trends Over Time: The changes in report numbers and backup elevations from 2015 to 2022.
Backup Elevation Analysis: Distribution and consistency of backup elevations.
Geospatial Mapping: Visualizing the locations of climate stations with heatmaps and scatter plots.
📊 Key Findings:
Steady increase in reports from 2015 to 2020 with a sharp decline in 2021 and 2022.
Backup elevations are concentrated in a narrow range.
Significant regional concentrations of climate stations, especially in the northeastern U.S.
💬 Join the Discussion: What are your thoughts on these findings? Do you have any questions or additional insights? Drop a comment below!
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📂 Resources: www.github.com/MalkiAmasha/Climate-data-Analysis
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LinkedIn : www.linkedin.com/in/malki-3-ama
GitHub : www.github.com/MalkiAmasha
#DataAnalysis #GeospatialAnalysis #BackupElevations #Trends #NexCode"
Негізгі бет Comprehensive Data Analysis | Trends, Elevations, and Geospatial Insights | With Code
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