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README.md
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README.md

Data Analysis Using Python: A Beginner’s Guide Featuring NYC Open Data

Part 4: Working with geospatial data and mapping

Mark Bauer

Introduction
Part 4 demonstrates various workflows of working with geospatial data and mapping. The project is located in my notebook 4_geospatial_data_mapping.ipynb. Additionally, you can view the notebook as a static webpage here. Below, you will find the map gallery.

Map Gallery

Making Maps

1. Points

5-1-a

2. Lines

5-2-a

3. Polygons

5-3-a

4. Maps with Layers

5-4-a

5. Adding Background Map

5-5-a

6. Clip Data

5-6-a

Types of Maps

1. Choropleth Maps

6-1-a 6-1-b 6-1-c 6-1-d 6-1-e 6-1-f

2. Heat Maps

6-2-a

3. Hexbin Map

6-3-a

4. Proportional Symbol Map

6-4-a 6-4-b 6-4-c 6-4-d

5. Graduated Symbol Map

6-5-a 6-5-b

6. One-to-One Dot Density Map

6-6-a 6-6-b

7. One-to-One Dot Density Map with Joint Grids

6-7-a 6-7-b 6-7-c 6-7-d 6-7-e 6-7-f 6-7-g

8. Cartogram Map

6-8-a

9. Voroni Map

6-9-a

10. Quadtree Map

6-10-a

11. Aesthetics for Maps

6-11-a

Centroids vs. Representative Points

12-2-b

Set Operations with Overlay

10-a

Additional Attributes and Methods

1. Binary Predicates

12-2-a

2. Constructive Methods

12-4-a 12-4-b 12-4-c 12-4-d

3. Affine Transformations

12-5-a 12-5-b 12-5-c 12-5-d 12-5-e 12-5-f 12-5-g 12-5-h