Tag: javascript

Interactive c3.js/d3.js charts inside Jupyter Notebook

This post is written as an IPython Notebook page, you can continue reading below or open it inside nbviewer.

Crime by Local Government Area and Offence Type – Dashboard

Crime by Local Government Area and Offence TypeURL: http://dataviz.yznotes.com/crime-vic-2014
This App visualises Number of offences by geographic area (VIC, Australia) and offence type, year ending December 2014. The original data used in this application can be downloaded from data.vic.gov.au web site.

The Application renders data as a multidimensional visualisation. All charts, including Crime Map are inter-connected and interactive, so you should be able to narrow down data to a subset of your interest within just a few mouse clicks. You can switch between Actual Offence Numbers and Crime Rate data views / measurements in the navigation bar.

Melbourne Tweet Cloud


URL: words.yznotes.com

If a picture is worth a thousand words, then the picture on the left should be an equivalent to 1,100 words, at least :)

This App collects tweets posted within 10km of Melbourne CBD, does some Natural Language processing and renders top 100 words into a Word Cloud.
Refreshed every 10 minutes 24/7. Ran on Amazon Web Services.

This is Work in Progress, there will be new features added with time.

Census 2011 Heat Map

Australian Census 2011 Heat Map

URL: census2011.yznotes.com

This Application aims to make Australian Census Data more accessible by rendering it on Google Maps.
There are Data Sets (at suburb level) from 46 Categories of the ABS Census 2011 Basic Community Profile files available in the current app release. All together it adds up to 7,942 various data sets.

You have to use Google Chrome or Firefox to get full functionality of the app. Unfortunately, Microsoft Internet Explorer and Apple Safari do not seem to support some of the web standards used in this app.

If you view this app from a device with a small screen, some features will be disabled / sacrificed for better user experience.

VTAC Tertiary Offers 2014 (Round 1) Heat Map

Follow this link for a live demo: http://dev01.yznotes.com/viz_map_vtac2014/#


Most of the JavaScript code is a copy of a great work done by Peter Neish for his Australian Election 2013 heat map
Data preparation and aggregation was done using Python Data Analysis library Pandas
Use Select Uni drop-down menu to switch between Victorian Universities