Develop interactive visualizations and launch a dashboard to analyze data and make investment decisions
In this notebook we use will use pandas to calculate the average sale prices and average rental cost for houses across different San Fransisco neighborhoods. Then we will us the PyViz ecosystmen to develop interactive visualizations. Finally, we will use panel to launch an interactive dashboard that will help us explore the data and determine if investing in San Fransisco properties can be profitable.
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
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Some thing interesting about web. New door for the world.
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