# Visualizing Geospatial Data in Python

4 hours
4,250 XP

## Course Description

One of the most important tasks of a data scientist is to understand the relationships between their data's physical location and their geographical context. In this course you'll be learning to make attractive visualizations of geospatial data with the GeoPandas package. You will learn to spatially join datasets, linking data to context. Finally you will learn to overlay geospatial data to maps to add even more spatial cues to your work. You will use several datasets from the City of Nashville's open data portal to find out where the chickens are in Nashville, which neighborhood has the most public art, and more!

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1. 1

### Building 2-Layer Maps : Combining Polygons and Scatterplots

Free

In this chapter, you will learn how to create a two-layer map by first plotting regions from a shapefile and then plotting location points as a scatterplot.

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Introduction
50 xp
Plotting a scatterplot from longitude and latitude
50 xp
Styling a scatterplot
100 xp
Extracting longitude and latitude
100 xp
Plotting chicken locations
100 xp
Geometries and shapefiles
50 xp
Creating a GeoDataFrame & examining the geometry
100 xp
Plotting shapefile polygons
100 xp
Scatterplots over polygons
50 xp
Geometry
50 xp
Plotting points over polygons - part 1
100 xp
Plotting points over polygons - part 2
100 xp
2. 2

### Creating and Joining GeoDataFrames

You'll work with GeoJSON to create polygonal plots, learn about projections and coordinate reference systems, and get practice spatially joining data in this chapter.

3. 3

### GeoSeries and Folium

First you will learn to get information about the geometries in your data with three different GeoSeries attributes and methods. Then you will learn to create a street map layer using folium.

4. 4

### Creating a Choropleth Building Permit Density in Nashville

In this chapter, you will learn about a special map called a choropleth. Then you will learn and practice building choropleths using two different packages: geopandas and folium.

### GroupTraining 2 or more people?

datasets

Building permits issued in Nashville in 2017Council district GIS dataNashville neighborhoods GIS dataPublic artworks in NashvilleSchool district GIS dataSchools in Nashville

collaborators

Mary van Valkenburg

Data Science Program Manager at Nashville Software School

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