added readme

Author: dreyco676

README.md

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+# Introduction to Geospatial Data with Python
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+Data comes in all shapes and sizes and often government data is geospatial in nature. Often times data science programs & tutorials ignore how to work with this rich data to make room for more advanced topics. Our MinneMUDAC competition heavily utilized geospatial data but was processed to provide students a more familiar format. But as good scientists, we should use primary sources of information as often as possible.
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+Use this Notebook to get a basic understanding of how to read, write, query and perform simple geospatial calculations on Minnesota Tax shapefiles with Python.
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+* Open the .ipynb file with Jupyter Notebook to get started!