timwis

const choo = require('choo')

const app = choo()

app.model({
  state: {
    name: 'Foo'
  },
  reducers: {
    receive: (action, state, send) => {

timwis

const yo = require('yo-yo')
const onload = require('on-load')

const a = yo`<div>a</div>`
const b = yo`<div>b</div>`

onload(a, () => console.log('a loaded'))
onload(b, () => console.log('b loaded'))

document.body.appendChild(a)

timwis

{
  "version": "2",
  "header": {
    "title": "Vehicle & Pedestrian Investigations",
    "description": "Business licenses issued by the Department of Business Affairs and Consumer Protection in the City of Chicago from 2002 to the present. January 1, 2006 to present. Data is updated daily.",
    "navigation": [
      {
        "label": "Download",
        "url": "https://data.cityofchicago.org/api/views/r5kz-chrr/rows.csv?accessType=DOWNLOAD&bom=true"
      }

timwis

load data
  infile '/Users/tim/Sites/property-assessments-pipeline/output/merged_properties.csv'
  into table GIS_OPA.PROPERTIES
  fields terminated by ',' optionally enclosed by '"'
  (location,owner_1,owner_2,census_tract,zip_code,geographic_ward,house_number,suffix,unit,house_extension,recording_date,sale_date,sale_price,unfinished,assessment_date,market_value_date,market_value,taxable_land,taxable_building,exempt_land,exempt_building,category_code,zoning,site_type,frontage,depth,parcel_shape,total_area,topography,garage_type,garage_spaces,off_street_open,view,other_building,number_stories,general_construction,type_dwelling,date_exterior_condition,exterior_condition,quality_grade,year_built,year_built_estimate,number_of_rooms,number_of_bedrooms,number_of_bathrooms,basements,fireplaces,type_heater,fuel,central_air,interior_condition,utility,sewer,separate_utilities,total_livable_area,book_and_page,registry_number,cross_reference,category_code_description,building_code,building_code_description,state_code,st

timwis

  1. PARCEL
	<type 'unicode'>
	Nulls: False
	Unique values: 579912
	Max length: 9
  2. LOC
	<type 'unicode'>
	Nulls: False
	Unique values: 547180
	5 most frequent values:

timwis

import sys
import csv
from collections import defaultdict

reader = csv.reader(iter(sys.stdin.readline, ''), delimiter=';')

# Skip header row
reader.next()

grouped_dict = defaultdict(lambda: ['', '', '', 0.0, 0.0, 0.0, 0.0, 0.0])

timwis

- Art Museum
- Atwater Kent Museum
- Auditing:
  - Auditing (City Controller)
- Aviation
- Board of Ethics
- Board of Pensions # See #5
- Board of Revision of Taxes
- City Commissioners
- City Council

timwis

valid_depts = []

with open(DEPT_FILE_PATH, 'rb') as file:
  depts = list(load(file))

for dept in depts:
  if isinstance(dept, dict):
    for key, matches in dept.iteritems(): # only one of these
      valid_depts = valid_depts + [{match: key} for match in matches]
  else:

timwis

var filteredDatasets = _.filter(datasets, function (dataset) {
  return (!params.organization || (dataset.organization && slugify(dataset.organization) === params.organization)) &&
    (!params.category || (dataset.category && slugify(dataset.category).indexOf(params.category) !== -1))
})

timwis

def where(input, property, value)
  return input unless input.is_a?(Enumerable)
  input = input.values if input.is_a?(Hash)
  input.select do |object|
    input_property = item_property(object, property)
    input_property.to_s == value.to_s || Array(input_property).include?(value.to_s)
  end
end