francois-roseberry / proxicity Goto Github PK
View Code? Open in Web Editor NEWLeveraging Kijiji appartment ads with map and data on nearby places (Walking score-like)
License: MIT License
Leveraging Kijiji appartment ads with map and data on nearby places (Walking score-like)
License: MIT License
bower can load a script from a url too, so try this bower install https://maps.googleapis.com/maps/api/js, not sure where to put the key though
Because listing 50 groceries around is not useful
jshint has an option esversion 6 to parse this code
To do that,
try extracting the no-data-count outside the attribute and calculate it in the map-model (maybe a Semiology class will be needed) ? and simply do not display the no-data category if count is 0. In all cases
Structured somehow like this:
dataset = {
attributes: [for now, price and grocery time],
data : [homes array as before]
}
Each attribute should be structured somehow like this:
attribute = {
id: [id],
name: [name],
type: [currency or time for now] /* determines formatting on the client */
}
Eventually, type could be 'discrete' for appartment types, indicating to the legend to use classes with distinct colors
Required since I use their APIs
https://developers.google.com/places/web-service/policies?hl=fr
The visualization rendered will depend on the visualizationKey in DisplaySheetTask. That task will allow the listing of visualization types and the selection of one. It will somehow need to offer the possible slots for a visualization type.
or FontAwesome. There are more choices
In the ETL, add a step for determining in which neighborhood each appartment ad is (and adding a field to the home object with the id of his parent neighborhood).
To do that use the dataset on 'Quartiers' on Quebec city open data portal (http://donnees.ville.quebec.qc.ca/donne_details.aspx?jdid=9). To determine which home'locations belong to which neighborhood's polygon. use turf (https://github.com/Turfjs/turf-inside)
A declarative, efficient, and flexible JavaScript library for building user interfaces.
๐ Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. ๐๐๐
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.