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Create a dashboard to visualize housing market in San Francisco neighborhoods. Parallel categories, coordinates and neighborhood maps are created on annual housing units, average gross rent and sales prices. Visuals in line and scaled bar charts are also created using Matplotlib and hvplot libraries.
Dashboard that provides charts, maps, and interactive visualizations to help users explore the data and determine if they want to invest in rental properties in San Francisco.
Clustering Crypto. A project that explores the following areas: Pandas DataFrames, Data Cleaning, Scaling Data, K Means, Principal Component Analysis, hvPlot, and 3-D Plotting