Difference between revisions of "Creating Maps in Jupyter Notebook using GeoPandas"
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+ | ==Tutorial== |
===Step 1: Installing the software=== |
===Step 1: Installing the software=== |
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| + | ===Step 2: Downloading data=== |
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| + | ===Step 3: Introduction to Jupyter Notebook=== |
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| + | ===Step 4: Editing the data=== |
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| + | ===Step 5: Making a map in Jupyter Notebook=== |
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| + | ===Step 6: Importing and editing the map in QGIS=== |
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Revision as of 08:57, 11 December 2020
Contents
Introduction
About Jupyter
Jupyter's advantages include that it is a free and open-source web application that also runs locally on your machine. This means that you can share and edit code easily with other people, but also have easy version controls saved to your machine. I personally like using it the most because you can type code into kernels, and run those kernels individually. This will be demonstrated in the tutorial, but as a quick explanation -- the benefits to this include being able to test code easily, be able to quickly visualize a certain data table or in our case, create a map quickly without having to run all of the code at once.
