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Mark BauerMark Bauer
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fixing markdown for TOCS
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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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" * 1. Search NYC Open Data in Google\n",
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" * 2. Search \"Building Footprints\" in NYC Open Data search bar\n",
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" * 3. Select \"Building Footprints\" Dataset\n",
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" * 4. The Building Footprints Dataset Page\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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" 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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" 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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" 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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2-data-inspection-cleaning-wrangling.ipynb

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" * Getting Started\n",
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" \n",
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" \n",
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" * 1. Importing Libraries\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 as a pandas Dataframe\n",
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" 2. Reading in Data as a pandas Dataframe\n",
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" \n",
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" \n",
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" * 3. Data Inspection\n",
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" 3. Data Inspection\n",
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" * 3.1 Previewing Data\n",
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" * 3.2 Calculating Summary Statistics\n",
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" * 3.3 Identifying Null Values\n",
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" \n",
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" \n",
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" * 4. Data Cleaning & Wrangling\n",
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" 4. Data Cleaning & Wrangling\n",
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" * 4.1 Previewing Column Values\n",
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" * 4.2 Exploring Distribution of Values\n",
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" * 4.3 Making a Box Plot\n",
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" * 4.6 Replacing Null Values\n",
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" \n",
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" \n",
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" * 5. Analysis\n",
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" 5. Analysis\n",
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" * 5.1. Timeseries of Year Built\n",
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" * 5.2. Attempting to Identify the Oldest Building in NYC\n",
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" \n",
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" \n",
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" * 6. Conclusion"
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" 6. Conclusion"
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]
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3-plotting-visualizations.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](##-1.-Importing-Libraries)\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](#-2-Reading-in-Data)\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](#3-Seaborn-Library)\n",
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" * [3.1 Distribution Plots](##-3.1-Plotting-Univariate-Distributions)\n",
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" * [3.1.1 Histograms](###-3.1.2-Histograms)\n",
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" * [3.1.2 Kernel Density Estimate (KDE) Plot](###-3.1.3-Kernel-Density-Estimate-%28KDE%29-Plot)\n",
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" * [3.1.3 Empirical Cumulative Distribution Functions (ECDF)](###-3.1.4-Empirical-Cumulative-Distribution-Functions-%28ECDF%29)\n",
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" * [3.1.4 Distribution Plots onto a Facet Grid](###-4.3.4-Distribution-Plots-onto-a-Facet-Grid)\n",
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" * [3.2 Relational Plots](###-3.2-Relational-Plots)\n",
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" * [3.2.1 Line Plots](###-3.2.1-Line-Plots)\n",
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" * [3.2.2 Scatter Plot](###-3.2.2-Scatter-Plot) \n",
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" * [3.2.3 Relational Plots onto a Facet Grid](###-3.2.3-Relational-Plots-onto-a-Facet-Grid)\n",
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" * [3.3 Joint Grids](##-4.3-Joint-Grids) \n",
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" * [3.3.1 Scatter Plot](###-3.3.1-Scatter-Plot)\n",
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" * [3.3.2 Hexagonal Bin Plots](###-3.3.2-Hexagonal-Bin-Plots) \n",
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" * [3.3.3 Kernel Density Estimate (KDE) Plot](###-3.3.4-Kernel-Density-Estimate-%28KDE%29-Plot)\n",
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" * [3.4 Visualizing Pairwise Relationships in a Dataset](##-3.4-Visualizing-Pairwise-Relationships-in-a-Dataset)\n",
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" * [3.5 Heat Map](##-3.5-Heat-Map)\n",
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" * [3.6 Categorial Plots](##-3.6-Categorial-Plots)\n",
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" * [3.6.1 Count Plots](###3.6.1-Count-Plots)\n",
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" * [3.6.2 Bar Plots](###-3.6.2-Bar-Plots)\n",
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" * [3.6.3 Scatter Plots](###3.6.3-Scatter-Plots)\n",
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" * [3.6.4 Swarm Plots](###-3.6.4-Swarm-Plots)\n",
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" * [3.6.5 Box Plots](###-3.6.5-Box-Plots)\n",
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" * [3.6.6 Boxen Plots](###-3.6.6-Boxen-Plots)\n",
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" * [3.6.7 Violin Plots](###-3.6.7-Violin-Plots)\n",
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" * [3.6.8 Point Plots](###-3.6.8-Point-Plots)\n",
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" * [3.6.9 Facets](###3.6.9-Facets) \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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" * [4. pandas and Matplotlib Libraries](#4-Pandas-and-Matplotlib-Libraries)\n",
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" * [4.1 Line Plot](##-4.1-Line-Plot)\n",
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" * [4.2 Bar Plot](##-4.2-Bar-Plot)\n",
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" * [4.3 Histogram](##-4.3-Histogram)\n",
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" * [4.4 Box Plot](##-4.4-Box-Plot)\n",
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" * [4.5 Kernel Density Estimate (KDE) Plot](##-4.5-Kernel-Density-Estimate-%28KDE%29-Plot)\n",
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" * [4.6 Area Plot](##-4.6-Area-Plot)\n",
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" * [4.7 Scatter Plot](##-4.7-Scatter-Plot)\n",
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" * [4.8 Hexagonal Bin Plot](##-4.8-Hexagonal-Bin-Plot)\n",
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" * [4.9 Pie Plot](##-4.9-Pie-Plot)\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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" * [5. Conclusion](#-4.-Conclusion)"
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" 5. Conclusion"
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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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" 1. Importing Libraries\n",
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" * 2. Reading and Writing Files\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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" * 3. Data Structures\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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" * 4. Attributes and Methods\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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" * 5. Making Maps\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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" * 5.6 Clip Data\n",
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" * 6. Joining Data\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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" * 7. Indexing and Selecting Data\n",
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" 7. Indexing and Selecting Data\n",
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" * 8. Coordinate Reference Systems\n",
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" 8. Coordinate Reference Systems\n",
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" * 9. Types of Maps\n",
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" 9. Types of Maps\n",
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" * 10. Relationship Tests\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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" * 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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