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mebauermebauer
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refactor 4-geospatial-data-mapping.ipynb notebook
1 parent 8aac367 commit 21a7988

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+34597
-1545
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‎1-reading-writing-files.ipynb

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"name": "stdout",
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"text": [
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"This dataset has 16,307 rows and 16 columns.\n"
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"This dataset has 16,308 rows and 16 columns.\n"
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"This dataset has 16,308 rows and 16 columns.\n"
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"text": [
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"This dataset has 16,308 rows and 16 columns.\n"
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"name": "stdout",
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"text": [
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"This dataset has 16,308 rows and 17 columns.\n"
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"This dataset has 16,308 rows and 17 columns.\n"
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"data": {
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"text/plain": [
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"('/Users/geribauer/Downloads/PLUTO.gz',\n",
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" <http.client.HTTPMessage at 0x16923c6d0>)"
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" <http.client.HTTPMessage at 0x17606a280>)"
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"execution_count": 13,
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"text": [
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"This dataset has 16,307 rows and 16 columns.\n"
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"This dataset has 16,308 rows and 16 columns.\n"
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"text": [
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"client.__dict__:\n",
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"{'domain': 'data.cityofnewyork.us', 'session': <requests.sessions.Session object at 0x1656cbb50>, 'uri_prefix': 'https://', 'timeout': 10}\n"
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"{'domain': 'data.cityofnewyork.us', 'session': <requests.sessions.Session object at 0x17414f100>, 'uri_prefix': 'https://', 'timeout': 10}\n"
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"name": "stdout",
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"text": [
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"README.md sample-data.geojson\r\n",
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"building-footprints-pluto.csv sample-data.gpkg\r\n",
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"output.csv sample-data.json\r\n",
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"output.json sample-data.xlsx\r\n",
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"output.xlsx \u001b[34mshapefile\u001b[m\u001b[m/\r\n",
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"sample-buildings.zip \u001b[34munzipped-data\u001b[m\u001b[m/\r\n",
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"sample-data.csv\r\n"
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"README.md nta_shape.shp\r\n",
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"building-footprints-pluto.csv nta_shape.shx\r\n",
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"nta-shape.cpg output.csv\r\n",
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"nta-shape.dbf sample-buildings.zip\r\n",
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"nta-shape.geojson sample-data.csv\r\n",
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"nta-shape.prj sample-data.geojson\r\n",
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"nta-shape.shp sample-data.gpkg\r\n",
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"nta-shape.shx sample-data.json\r\n",
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"nta_shape.cpg sample-data.xlsx\r\n",
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"nta_shape.dbf \u001b[34mshapefile\u001b[m\u001b[m/\r\n",
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"nta_shape.geojson \u001b[34munzipped-data\u001b[m\u001b[m/\r\n",
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"nta_shape.prj\r\n"
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"text": [
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"README.md sample-data.geojson\r\n",
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"building-footprints-pluto.csv sample-data.gpkg\r\n",
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"output.csv sample-data.json\r\n",
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"output.json sample-data.xlsx\r\n",
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"output.xlsx \u001b[34mshapefile\u001b[m\u001b[m/\r\n",
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"sample-buildings.zip \u001b[34munzipped-data\u001b[m\u001b[m/\r\n",
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"sample-data.csv\r\n"
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"README.md nta_shape.shp\r\n",
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"building-footprints-pluto.csv nta_shape.shx\r\n",
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"nta-shape.cpg output.csv\r\n",
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"nta-shape.dbf output.xlsx\r\n",
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"nta-shape.geojson sample-buildings.zip\r\n",
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"nta-shape.prj sample-data.csv\r\n",
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"nta-shape.shp sample-data.geojson\r\n",
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"nta-shape.shx sample-data.gpkg\r\n",
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"nta_shape.cpg sample-data.json\r\n",
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"nta_shape.dbf sample-data.xlsx\r\n",
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"nta_shape.geojson \u001b[34mshapefile\u001b[m\u001b[m/\r\n",
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"nta_shape.prj \u001b[34munzipped-data\u001b[m\u001b[m/\r\n"
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"text": [
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"README.md sample-data.geojson\r\n",
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"building-footprints-pluto.csv sample-data.gpkg\r\n",
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"output.csv sample-data.json\r\n",
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"output.json sample-data.xlsx\r\n",
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"output.xlsx \u001b[34mshapefile\u001b[m\u001b[m/\r\n",
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"sample-buildings.zip \u001b[34munzipped-data\u001b[m\u001b[m/\r\n",
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"sample-data.csv\r\n"
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"README.md nta_shape.shx\r\n",
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"building-footprints-pluto.csv output.csv\r\n",
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"nta-shape.cpg output.json\r\n",
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"nta-shape.dbf output.xlsx\r\n",
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"nta-shape.geojson sample-buildings.zip\r\n",
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"nta-shape.prj sample-data.csv\r\n",
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"nta-shape.shp sample-data.geojson\r\n",
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"nta-shape.shx sample-data.gpkg\r\n",
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"nta_shape.cpg sample-data.json\r\n",
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"nta_shape.dbf sample-data.xlsx\r\n",
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"nta_shape.geojson \u001b[34mshapefile\u001b[m\u001b[m/\r\n",
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"nta_shape.prj \u001b[34munzipped-data\u001b[m\u001b[m/\r\n",
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"nta_shape.shp\r\n"
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"output.cpg output.shp sample-data.dbf sample-data.shx\r\n",
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"output.prj sample-data.cpg sample-data.shp\r\n"
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"nta-shape.cpg nta-shape.shx output.shp sample-data.prj\r\n",
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"nta-shape.dbf output.cpg output.shx sample-data.shp\r\n",
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"nta-shape.prj output.dbf sample-data.cpg sample-data.shx\r\n",
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"nta-shape.shp output.prj sample-data.dbf\r\n"
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}
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],

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