In this video, we explore a new dataset revealing global water gaps and learn how to access and visualize this data using Python. We'll demonstrate how to download datasets, create charts, and perform analyses using open-source libraries in a Google Colab environment. Discover insights on water stress, its impact on ecosystems and human societies, and learn to customize your analysis to address specific questions.
Clone the Jupyter Notebook below and follow along as we create time-series charts, interactive maps, and more to understand and convey water-related risks comprehensively.
00:00 Introduction to the Global Water Crisis
00:17 Exploring the World Water Map
00:59 Accessing and Analyzing Data with Python
01:34 Hands-On with the Insights App
02:16 Downloading and Preparing Data in Python
02:56 Creating Visualizations with Python
03:56 Advanced Data Analysis and Mapping
04:49 Conclusion and Next Steps
Resources:
Colab Notebook with this video's Python workflow: https://colab.research.google.com/git...
World Water Map Insights app: https://livingatlas.arcgis.com/wwm-in...
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