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1. Converting the cloud element information into a Pandas DataFrame to easily select relevant information when translating the data into a visualization.
2. Setting up a multi-user enabled Bokeh server to handle high-level charts (only Histograms thus far.)
3. (Now abandoned) I spent some time exploring the seaborn platform and the matplotlib library to see if any part of their utility could be advantageous.
What I'll Continue Working On:
1. Expanding the DataFrame representation to enable the visualization of individual cloud elements.
2. Exploring displaying cloud elements on a map via Bokeh.
3. Incorporating the visualizations into a Jupyter notebook so they can be run without a web browser. Integrating this work with Youssef's.