isc-rsingh

isc-rsingh

isc-rsingh

isc-rsingh

<div itemscope itemtype="http://schema.org/Dataset" itemid="homes-1m-redfin-2016">
    <meta itemprop="url" content="http://s3-api.us-geo.objectstorage.softlayer.net/opendata/misc/milliondollarhomes.csv" />
    <h2>US Income</h2>
    <i>(homes-1m-redfin-2016)</i>
    <div class="description">Homes that sold for over a million USD in northeastern Massachusetts in a 3-month period in late 2016.</div>
    <div itemprop="publisher" itemscope itemtype="http://schema.org/Organization">
        Publisher:
        <span itemprop="name">Raj Singh</span>
    </div>
    <div class="keywords">Keywords: housing,income</div>

isc-rsingh

<script type="application/ld+json">
{
    "@context": "http://schema.org",
    "@type": "Dataset",
    "identifier": "homes-1m-redfin-2016",
    "name": "US Income",
    "description": "Homes that sold for over a million USD in northeastern Massachusetts in a 3-month period in late 2016.",
    "version": "2017-10-03",
    "keywords": ["housing","income"],
    "distribution": [

isc-rsingh

/**
 * Reads a JSON file in the format conforming to the open data metadata guidelines 
 * promulgated by the US Federal CIO office (https://project-open-data.cio.gov/v1.1/schema/)
 * and writes an HTML file conforming to Google and schema.org
 * https://developers.google.com/search/docs/data-types/dataset
 * http://schema.org/Dataset
 */

var fs = require('fs')
const metadata = require('./meta.json')

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{
    "type": "DataCatalog",
    "title": "My Data Catalog",
    "modified": "2018-02-02",
    "accessLevel": "public",
    "conformsTo": "https://project-open-data.cio.gov/v1.1/schema",
    "datasets": [
        {
            "@context": "http://schema.org/",
            "@type": "dcat:Dataset",

isc-rsingh

[default]
access_key = ACCESSKEYGOESHERE
gpg_command = /usr/local/bin/gpg
host_base = s3-api.us-geo.objectstorage.softlayer.net
host_bucket = %(bucket)s.s3-api.us-geo.objectstorage.softlayer.net
secret_key = SECRETKEYGOESHERE
use_https = True

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urban_df['CAT'] = 'EXURBAN'
urban_df['CAT'][(urban_df['POPPERKMSQ'] >= 2900)] = 'URBAN'
urban_df['CAT'][(urban_df['POPPERKMSQ'] < 2900) & (urban_df['POPPERKMSQ'] >= 100) & (urban_df['MEDYRBUILT'] < 1980) & (urban_df['MEDYRBUILT'] >= 1946)] = 'SUBURBANEARLY'
urban_df['CAT'][(urban_df['POPPERKMSQ'] < 2900) & (urban_df['POPPERKMSQ'] >= 100) & (urban_df['MEDYRBUILT'] >= 1980)] = 'SUBURBANLATE'

isc-rsingh