#VIEW A GEOJSON FILE INSTALL#

Feel free to choose when to save your work. The first button is the button youвЂ™ll use to save your work as you go along (1). In the image below, youвЂ™ll see three buttons labeled 1-3 that will be important for you to get a grasp of: the save button (1), add cell button (2), and run cell button (3). Make sure you have the data in the same directory as your notebook and then weвЂ™re good to go! A Quick Note on JupyterДЇor those of you who are unfamiliar with Jupyter notebooks, IвЂ™ve provided a brief review of which functions will be particularly useful to move along with this tutorial. Following this installation guide, once you have your notebook up and running, go ahead and download all the data for this post here. Since weвЂ™ll be working with Python interactively, using the Jupyter Notebook is the best way to get the most out of this tutorial. You can do this by opening terminal or command prompt on your operating system:

#VIEW A GEOJSON FILE INSTALL#

Next, youвЂ™ll need to install several packages that weвЂ™ll use throughout this tutorial. If you havenвЂ™t already, download Python and Pip. More specifically, weвЂ™ll do some interactive visualizations of the United States! In this tutorial, weвЂ™ll use Python to learn the basics of acquiring geospatial data, handling it, and visualizing it. Geospatial analysis applies statistical analysis to data that has geographical or geometrical components.

This field is referred to as geospatial analysis. At the center of these technologies are locations, their interactions and roles in a greater ecosystem of location services. Products like Google or Apple Maps are built on foundations of geospatial technology. We take products like Google Maps for granted, but theyвЂ™re an important convenience. As a native New Yorker, I would be a mess without Google Maps every single time I go anywhere outside the city.

View a geojson file