Merge pull request Esri#783 from priyankatuteja/s_updates

Update Samples and metadata file for Learn Hub. thank you @priyankatuteja the choices and updates look good

Author: Atma Mani

items_metadata.yaml

@@ -22,7 +22,7 @@ samples:
   snippet: Run spatial analysis tools to predict permit spikes
   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.
   licenseInfo: ""
-  tags: ["Data Science", "GIS", "Construction", "Permits"]
+  tags: ["Data Science", "GIS", "Construction", "Permits", "Featured"]
 - title: Analyzing United States tornadoes
   url: https://geosaurus.maps.arcgis.com/home/item.html?id=ab5d87bffc684f9088c84d2120782e28
   path: ./samples/04_gis_analysts_data_scientists/analyze_us_tornadoes.ipynb
@@ -46,7 +46,7 @@ samples:
   snippet: Analyze violent crime in Chicago
   description: Through this sample, we will demonstrate the utility of a number of spatial analysis methods including hot spot analysis, feature overlay, data enrichment and spatial selection using ArGIS API for Python.
   licenseInfo: ""
-  tags: ["Data Science", "GIS", "Violent Crime"]
+  tags: ["Data Science", "GIS", "Violent Crime", "Featured"]
 - title: Automate Building Footprint Extraction using Deep learning
   url: https://geosaurus.maps.arcgis.com/home/item.html?id=342919a470044ddaac8a299820a51204
   path: ./samples/04_gis_analysts_data_scientists/automate_building_footprint_extraction_using_instance_segmentation.ipynb
@@ -278,16 +278,16 @@ samples:
   snippet: Monitor watersheds using spatial overlay analysis
   description: This sample uses ArcGIS API for Python to find out which watershed, or watersheds, each grazing allotment falls in, for water quality monitoring.
   licenseInfo: ""
-  tags: ["Data Science", "GIS", "Grazing", "Allotments"]
+  tags: ["Data Science", "GIS", "Grazing", "Allotments", "Featured"]
 - title: Find hospitals closest to an incident
   url: https://geosaurus.maps.arcgis.com/home/item.html?id=9056733512624eeda8eb1b32625d518b
   path: ./samples/04_gis_analysts_data_scientists/finding_hospitals_closest_to_an_incident.ipynb
   thumbnail: ./static/thumbnails/finding_hospitals_closest_to_an_incident.png
   snippet: Use the network module to find a hospital closest to an incident
   description: In this sample, we see how to find the hospital that is closest to an incident. 
   licenseInfo: ""
-  tags: ["Data Science", "GIS", "Hospitals"]
-- title: Find hospitals closest to an incident
+  tags: ["Data Science", "GIS", "Hospitals", "Featured"]
+- title: Finding routes for appliance delivery with VRP solver
   url: https://geosaurus.maps.arcgis.com/home/item.html?id=4b1fcd1af9ea4f0f9dce8f71a729890b
   path: ./samples/04_gis_analysts_data_scientists/finding_routes_for_appliance_delivery_with_VRP_solver.ipynb
   thumbnail: ./static/thumbnails/finding_routes_for_appliance_delivery_with_VRP_solver.jpg
@@ -302,7 +302,7 @@ samples:
   snippet: Find suitable spots for AED devices
   description: In this sample, we will observe how site suitability analyses can be performed using the ArcGIS API for Python. 
   licenseInfo: ""
-  tags: ["Data Science", "GIS", "AED Devices", "Raster Analytics"]
+  tags: ["Data Science", "GIS", "AED Devices", "Raster Analytics", "Featured"]
 - title: Historical Wildfire Analysis 
   url: https://geosaurus.maps.arcgis.com/home/item.html?id=eb4eaad6661b45d689a6ec5b9852ac8d
   path: ./samples/04_gis_analysts_data_scientists/historical_wildfire_analysis.ipynb
@@ -342,7 +342,7 @@ samples:
   snippet: Extract info from crime reports
   description: In this notebook we will extract information from crime incident reports obtained from Madison police department [1]using arcgis.learn.EntityRecognizer(). 
   licenseInfo: ""
-  tags: ["Data Science", "GIS", "Information", "Extraction", "deep Learning", "Madison", "Crime"]
+  tags: ["Data Science", "GIS", "Information", "Extraction", "deep Learning", "Madison", "Crime", "Featured"]
 - title: Land cover classification using sparse training data
   url: https://geosaurus.maps.arcgis.com/home/item.html?id=b82a104720a349fe96d47f0f12ed86a8
   path: ./samples/04_gis_analysts_data_scientists/land_cover_classification_using_sparse_training_data.ipynb
@@ -366,7 +366,7 @@ samples:
   snippet: Locate new retirement communites
   description: This sample demonstrates the utility of ArcGIS API for Python to identify some great locations for a new retirement community, which will satisfy these needs of senior citizens.
   licenseInfo: ""
-  tags: ["Data Science", "GIS", "Retirement", "Community"]
+  tags: ["Data Science", "GIS", "Retirement", "Community", "Featured"]
 - title: Data Preparation - Hurricane analysis, part 1/3
   url: https://geosaurus.maps.arcgis.com/home/item.html?id=a93787d32d71458ba733c432f231be19
   path: ./samples/04_gis_analysts_data_scientists/part1_prepare_hurricane_data.ipynb
@@ -470,7 +470,7 @@ samples:
   snippet: Use deep learning to track vehicles
   description: In this notebook, we'll demonstrate how we can use deep learning to detect vehicles and then track them in a video. 
   licenseInfo: ""
-  tags: ["Data Science", "GIS", "Vehicle", "Detection", "Deep Learning", "Tracking"]
+  tags: ["Data Science", "GIS", "Vehicle", "Detection", "Deep Learning", "Tracking", "Featured"]
 - title: Visualize monthly changes in Hirakund reservoir using video  
   url: https://geosaurus.maps.arcgis.com/home/item.html?id=8fdbf15d65674f69a947cbe449eb3647
   path: ./samples/04_gis_analysts_data_scientists/visualize_monthly_changes_in_hirakund_reservoir_using_video.ipynb
@@ -486,7 +486,7 @@ samples:
   snippet: Use spatial analysis tools to identify cougar habitat areas
   description: Through this notebook, we will demonstrate the utility of a number of spatial analysis tools including create_buffer, extract_data, dissolve_boundaries, and derive_new_locations.
   licenseInfo: ""
-  tags: ["Data Science", "GIS", "Cougar Habitat"]
+  tags: ["Data Science", "GIS", "Cougar Habitat", "Featured"]
 - title: Which college district has the fewest low-income families?
   url: https://geosaurus.maps.arcgis.com/home/item.html?id=abae8a0ca9554ae2b46e7ada352e502a
   path: ./samples/04_gis_analysts_data_scientists/which_college_district_has_the_fewest_low_income_families.ipynb

samples/04_gis_analysts_data_scientists/analyze_patterns_in_construction_permits_part2.ipynb

@@ -684,7 +684,7 @@
     }
    ],
    "source": [
-    "sdf['point_count'].mean()"
+    "sdf['Point_Count'].mean()"
    ]
   },
   {
@@ -704,7 +704,7 @@
     }
    ],
    "source": [
-    "sdf['point_count'].max()"
+    "sdf['Point_Count'].max()"
    ]
   },
   {
@@ -724,7 +724,7 @@
     }
    ],
    "source": [
-    "sdf['point_count'].min()"
+    "sdf['Point_Count'].min()"
    ]
   },
   {
@@ -1183,7 +1183,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.6"
+   "version": "3.6.12"
   },
   "toc": {
    "base_numbering": 1,

samples/04_gis_analysts_data_scientists/information-extraction-from-madison-city-crime-incident-reports-using-deep-learning.ipynb

@@ -2175,6 +2175,7 @@
     }
    ],
    "source": [
+    "top_4_most_similar_results = top_4_most_similar_results['similar_result_layer']\n",
     "top_4_most_similar_results"
    ]
   },
@@ -2337,7 +2338,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.8"
+   "version": "3.6.12"
   }
  },
  "nbformat": 4,