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Mark BauerMark Bauer
Mark Bauer
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Mark Bauer
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fixing markdown lists in notebooks, deleting spaces
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‎1-reading-writing-files.ipynb

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"Table of Contents\n",
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"=================\n",
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"\n",
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" ### Getting Started \n",
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" Getting Started \n",
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" - Search NYC Open Data in Google \n",
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" - Search \"Building Footprints\" in NYC Open Data search bar \n",
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" - Select \"Building Footprints\" Dataset \n",
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" - The Building Footprints Dataset Page\n",
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" \n",
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" \n",
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" ### 1. Reading In Data from Local Folder \n",
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" - The Building Footprints Dataset Page \n",
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" 1. Reading In Data from Local Folder \n",
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" 1.1 Reading in a CSV file \n",
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" 1.2 Reading in an Excel file \n",
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" 1.3 Reading in a JSON file \n",
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" 1.4 Reading in a Shapefile \n",
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" 1.5 Reading in a GeoJSON file \n",
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" \n",
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" \n",
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" ### 2. Reading In Data from the Web \n",
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" 1.5 Reading in a GeoJSON file \n",
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" 2. Reading In Data from the Web \n",
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" 2.1 Unzipping and reading in data as csv to local folders \n",
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" 2.2 Unzipping and reading in data as csv from local folder \n",
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" 2.3 Unzipping and reading in data as csv in memory \n",
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"\n",
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" \n",
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" #### 3. Reading In Data from NYC Open Data \n",
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" 3. Reading In Data from NYC Open Data \n",
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" 3.1 Reading in data as csv in static form \n",
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" 3.2 Reading in data as json in static form \n",
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" 3.3 Reading in shapefile data \n",
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" 3.4 Reading in data from Socrata Open Data API (SODA) \n",
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"\n",
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" \n",
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" ### 4. Writing Out Data \n",
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" 3.4 Reading in data from Socrata Open Data API (SODA) \n",
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" 4. Writing Out Data \n",
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" 4.1 Writing to a CSV file \n",
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" 4.2 Writing to a Excel (xlsx) file \n",
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" 4.3 Writing to a JSON file \n",
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" 4.4 Writing to a Shapefile \n",
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" \n",
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" \n",
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" ### 5. Conclusion"
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" 5. Conclusion"
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]
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{

‎3-plotting-visualizations.ipynb

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"=================\n",
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"\n",
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" 1. Importing Libraries\n",
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" \n",
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" \n",
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" 2. Reading-in Data\n",
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" \n",
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" \n",
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" 3. Seaborn Library\n",
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" * 3.1 Distribution Plots\n",
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" * 3.1.1 Histograms\n",
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" * 3.1.2 Kernel Density Estimate (KDE) Plot\n",
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" * 3.1.3 Empirical Cumulative Distribution Functions (ECDF)\n",
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" * 3.1.4 Distribution Plots onto a Facet Grid\n",
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" \n",
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" * 3.2 Relational Plots\n",
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" * 3.2.1 Line Plots\n",
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" * 3.2.2 Scatter Plot\n",
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" * 3.2.3 Relational Plots onto a Facet Grid\n",
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" \n",
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" * 3.3 Joint Grids\n",
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" * 3.3.1 Scatter Plot\n",
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" * 3.3.2 Hexagonal Bin Plots \n",
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" * 3.3.3 Kernel Density Estimate (KDE) Plot\n",
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" \n",
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" * 3.4 Visualizing Pairwise Relationships in a Dataset\n",
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" \n",
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" * 3.5 Heat Map\n",
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" \n",
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" * 3.6 Categorial Plots\n",
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" * 3.6.1 Count Plots\n",
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" * 3.6.2 Bar Plots\n",
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" * 3.6.3 Scatter Plots\n",
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" * 3.6.4 Swarm Plots\n",
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" * 3.6.5 Box Plots\n",
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" * 3.6.6 Boxen Plots\n",
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" * 3.6.7 Violin Plots\n",
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" * 3.6.8 Point Plots\n",
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" * 3.6.9 Facets \n",
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" \n",
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" \n",
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" 2. Reading-in Data \n",
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" 3. Seaborn Library \n",
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" - 3.1 Distribution Plots \n",
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" - 3.1.1 Histograms \n",
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" - 3.1.2 Kernel Density Estimate (KDE) Plot \n",
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" - 3.1.3 Empirical Cumulative Distribution Functions (ECDF) \n",
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" - 3.1.4 Distribution Plots onto a Facet Grid \n",
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" - 3.2 Relational Plots \n",
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" - 3.2.1 Line Plots \n",
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" - 3.2.2 Scatter Plot \n",
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" - 3.2.3 Relational Plots onto a Facet Grid \n",
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" - 3.3 Joint Grids \n",
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" - 3.3.1 Scatter Plot \n",
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" - 3.3.2 Hexagonal Bin Plots \n",
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" - 3.3.3 Kernel Density Estimate (KDE) Plot \n",
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" - 3.4 Visualizing Pairwise Relationships in a Dataset \n",
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" - 3.5 Heat Map \n",
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" - 3.6 Categorial Plots \n",
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" - 3.6.1 Count Plots \n",
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" - 3.6.2 Bar Plots \n",
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" - 3.6.3 Scatter Plots\n",
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" - 3.6.4 Swarm Plots\n",
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" - 3.6.5 Box Plots\n",
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" - 3.6.6 Boxen Plots\n",
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" - 3.6.7 Violin Plots\n",
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" - 3.6.8 Point Plots\n",
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" - 3.6.9 Facets \n",
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" 4. pandas and Matplotlib Libraries\n",
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" * 4.1 Line Plot\n",
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" * 4.2 Bar Plot\n",
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" * 4.3 Histogram\n",
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" * 4.4 Box Plot\n",
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" * 4.5 Kernel Density Estimate (KDE) Plot\n",
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" * 4.6 Area Plot\n",
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" * 4.7 Scatter Plot]\n",
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" * 4.8 Hexagonal Bin Plot]\n",
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" * 4.9 Pie Plot\n",
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" \n",
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" \n",
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" - 4.1 Line Plot\n",
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" - 4.2 Bar Plot\n",
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" - 4.3 Histogram\n",
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" - 4.4 Box Plot\n",
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" - 4.5 Kernel Density Estimate (KDE) Plot\n",
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" - 4.6 Area Plot\n",
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" - 4.7 Scatter Plot]\n",
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" - 4.8 Hexagonal Bin Plot]\n",
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" - 4.9 Pie Plot\n",
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" 5. Conclusion"
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]
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‎4-geospatial-data-mapping.ipynb

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"Table of Contents\n",
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"=================\n",
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"\n",
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" 1. Importing Libraries\n",
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" \n",
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" \n",
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" 1. Importing Libraries \n",
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" 2. Reading and Writing Files\n",
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" * 2.1 Reading Spatial Data\n",
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" * 2.2 Writing Spatial Data\n",
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" \n",
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" \n",
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" * 2.2 Writing Spatial Data \n",
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" 3. Data Structures\n",
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" * 3.1 GeoSeries\n",
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" * 3.2 GeoDataFrame \n",
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" \n",
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" \n",
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" 4. Attributes and Methods\n",
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" * 4.1 Basic Attributes\n",
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" * 4.2 Basic Methods\n",
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" * 4.3 Create Centroids from Polygons\n",
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" * 4.4 Creating a GeoDataFrame from a DataFrame with Coordinates\n",
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" \n",
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"\n",
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" 5. Making Maps\n",
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" * 5.1 Points\n",
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" * 5.2 Lines\n",
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" * 5.3 Polygons\n",
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" * 5.4 Maps with Layers\n",
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" * 5.5 Adding Background Map\n",
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" * 5.6 Clip Data\n",
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" \n",
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" 6. Joining Data\n",
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" * 6.1 Attribute Join\n",
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" * 6.2 Spatial Join\n",
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" \n",
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" 7. Indexing and Selecting Data\n",
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" \n",
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" \n",
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" 8. Coordinate Reference Systems\n",
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" \n",
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" \n",
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" 9. Types of Maps\n",
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" * 9.1 Choropleth Maps\n",
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" * 9.2 Heat Maps\n",
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" * 9.5 Graduated Symbol Map\n",
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" * 9.6 Voroni Map\n",
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" * 9.7 Quadtree Map\n",
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"\n",
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" 10. Relationship Tests\n",
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" 11. Set Operations with Overlay\n",
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" 11. Set Operations with Overlay\n",
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" * 11.1 Union\n",
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" * 11.2 Intersection\n",
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" * 11.3 Symmetric Difference\n",
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" * 11.4 Difference\n",
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" * 11.5 Identity\n",
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" * 11.6 Aggregation with Dissolve\n",
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" 12. Additional Attributes and Methods\n",
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" 12. Additional Attributes and Methods\n",
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" * 12.1 Unary Predicates\n",
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" * 12.2 Binary Predicates\n",
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" * 12.2.1 Centroids vs. Representative Points\n",
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" * 12.3 Constructive Methods / Affine Transformations\n",
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" * 12.3.1 Buffer\n",
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" * 12.3.2 Translate/Offset\n",
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" "
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" * 12.3.2 Translate/Offset\n"
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