How to Effectively Obtain Consumer Insights in a Data Overload.Ĭan Neural Networks Show Imagination DeepMind Thinks They Can Online CertificatesCourses in AI, Data Science, Machine Learn.MacOS comes with Python pre-installed. You can explore more about folium and the interactiveness it provides at the official documentation page. It is also as an example of how to use additional visualization libraries and how they can be powerful depending on our visualization needs. So, what well need to do is to save it and read it back into the notebook in order to interact with it on the map.Ĭlearly US and majority of Europe have a higher life expectancy for females. Our country code in the data frame should match the feature ID in the json object.
The key on parameter refers to the label in the json object which has the country code as the feature ID attached to each countrys border information. Well also want to extract the name of the indicatorfor use as the legend in the figure.Īnd then next, well use the built-in method called choropleth to attach the countrys geographic json and the plot data. So, lets pull out the life expectancy data for all the countries in 2013. It seems that the indicators dataset have different indicators for different countries with the year and value of the indicator.
Make sure to create the jupyter notebook in the same folder as data for ease. It contains over a thousand annual indicators of economic development from about 247 countries around the world from 1960 to 2015.
With Folium, one can create a map of any location in the world as long as its latitude and longitude values are known.Īlso, the maps created by Folium are interactive in nature, so one can zoom in and out after the map is rendered, which is a super useful feature. Geographic data ( Geo data ) science is a subset of data science that deals with location-based data i.e description of objects and their relationship in space.
One such library is Folium which comes in handy for visualising Geographic data ( Geo data).
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