Present your data as an effective and compelling story

A New, Interactive Approach to Learning Data Visualization

Create an impact with meaningful data insights using interactive and engaging visuals

We will be using various Python libraries to interactively visualize the data.

Extracting geospatial coordinates from a JSON feed, saving the report to a CSV file and then utiling the GeoPlotLib module, mapping the coordinates.

Unravelling crime patterns and trends to better understand the safety level and categories of incidents that occur in different areas in SF. This will help the SF residents , tourists - - stay vigilant on safety and security as SF continues to grow as a desirable city to live with thriving industry. - povide insights on criminal activity in the …

Apply all the concepts that you have learned throughout this learning path. Use Matplotlib, Seaborn, Geoplotlib, and Bokeh to create visualizations for a range of different datasets.

Exercises for "Data Visualization" course