Introduction

My datasets come from Enterprise Addressing System. This is about distribution of enterprise address. Includes references to parcel and street centerline data. Updated nightly.See EAS Base Addresses for base addresses not including units. Resturant Source This is about inspection report and scoring system. After conducting an inspection of the facility, the Health Inspector calculates a score based on the violations observed. Violations can fall into:high risk category: records specific violations that directly relate to the transmission of food borne illnesses, the adulteration of food products and the contamination of food-contact surfaces.moderate risk category: records specific violations that are of a moderate risk to the public health and safety.low risk category: records violations that are low risk or have no immediate risk to the public health and safety.The score card that will be issued by the inspector is maintained at the food establishment and is available to the public in this dataset.  San Francisco Zip Codes This is a supplement set of Enterprise Addressing System. I want to get population of different region distinguish by zip code.

  • Dataset 1 Enterprise Addressing System
  • Number of Columns: 17
  • Number of Rows: 65535
  • Columns attributes: EAS BaseID, EAS SubID, EAS FullID, CNN, Address, Address Number, Address Number Suffix, Street Name, Street Type, Unit Number, Zip Code, Parcel Number, Block, Lot, Longitude, Latitude, the_geom
  • File size: 42.5MB
  • License: Terms of Use
  • Dataset 2 Resturant Source
  • Number of Columns: 17
  • Number of Rows: 53738
  • Columns attributes: business_id, business_name, business_address, business_city, business_state, business_postal_code, business_latitude, business_longitude, business_location, business_phone_number, inspection_id, inspection_date, inspection_type, violation_id, violation_description, risk_category
  • File size: 11.6MB
  • License: Terms of Use
  • Dataset 3 San Francisco Zip Codes
  • Number of Columns: 13
  • Number of Rows: 33
  • Columns attributes: geometry, multigeom, id, objectid, po_name, pop10_sqmi, pop2010, sqmi, st_area_sh, st_length_, state, zip, zip_code
  • File size: 647KB
  • License: Terms of Use