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Content > 4a554d6049d8432e853bc8684234796a |
JSON | API Reference |
ID | 4a554d6049d8432e853bc8684234796a |
Item | Analyze_Patterns_in_Construction_Permits_Part2.ipynb |
Item Type | file |
Owner | esri_notebook |
Uploaded | Apr 25, 2019 |
Modified | Apr 25, 2019 |
Thumbnail | N/A |
GUID | N/A |
Name | N/A |
Title | Data Summarization: Construction permits, part 2/2 |
Type | Notebook |
Type Keywords | Notebook, Python |
Description | In this lesson, we'll move beyond exploration and run spatial analysis tools to answer specific questions that can't be answered by the data itself. In particular, we want to know why permits spiked in Germantown in 2011 and predict where future permit spikes—and, by extension, future growth—are likely to occur. |
Tags | aggregation, construction, enrichment |
Snippet | Analyze past permit spikes and predict where future permit spikes will happen. |
Extent | N/A |
Spatial Reference | N/A |
Access Information | N/A |
License Information | N/A |
Culture | english (united states) |
Properties | {"notebookRuntimeName":"ArcGIS Notebook Python 3 Standard","notebookRuntimeVersion":"10.7.1"} |
Url | N/A |
Proxy Filter | N/A |
Last Modified | N/A |
Size | 1774687 |
Documentation | N/A |
App Categories | N/A |
Industries | N/A |
Languages | N/A |
Listed | false |
Comments Enabled | true |
# Comments | 0 |
# Ratings | 0 |
Avg. Rating | 0.0 |
# Views | 117 |
Categories | Data Science and Analysis |
Content Status |