dataviz Australia - Drive your data further

::SAMPLES::

Computers compromised by Trojans - per country (security) Computers compromised by Trojans - per country (security) DDoS attacks (security) DDoS attacks (security) Top 15 most active countries on internet (security) Top 15 most active countries on internet (security)	Circos Graphs Bar and line graphs have their place of course, but we are always keen to explore new ways of presenting and understanding data. Originally developed for the mapping of genomes, we used this technique to understand some important characteristics of Internet security. This graph type provides a simple way of identifying trends and outliers in large data sets. Applications for this type are really limited by imagination. We are working on projects that involve industries as diverse as sports training data, games results, sales figures, engineering data, voting results and human demographics.
Space Shuttle - Fuel stock availablilty Space Shuttle - Expenses per postcode F16 Flight simulator - Sales by volume F16 Flight simulator - Sales by $ Space Shuttle - Margin by % Space Shuttle - # Transactions	Interactive Fly overs This is very effective and engaging mapping style for metrics such as sales volumes, branch/ATM/transaction activity levels per postcode, and the location/amount of stock. The maps shown here are interactive, the viewer can zoom in to examine particular suburbs, or zoom out to get an appreciation of the bigger picture. The maps can be viewed in a "space shuttle" viewing mode, or you can literally fly up and down the coast line inspecting your metrics, behind the controls of an F16 "Viper" flight simulator complete with joystick controls. This literally adds a whole new dimension to viewing data, and makes the process more engaging than bar charts and excel tables. This style is particularly good for client presentations and pitches. Strap yourself in and click here for a closer look.
The changing nature of a demographic	Animated Heatmaps Understanding how a dataset changes over time can be a quite insightful. Using a time series heatmap can provide intelligence on the effects of advertising campaigns, world events and local conditions on your business. The power here lies in being better prepared for future events by selecting a strategy that will best react to planned or unforeseen changes. Click here to view the video in larger size.
Foot traffic through Store (by day) Sales performance throughout year	Dot mapping This is a very simple qualitative method of determining "busy" times in any metric. Quite simply, the brighter the dot, the more activity. Any metric that can be quantified against time may be mapped, examples include: Sales volumes Trading volumes Foot traffic through store departments Call Center activity Road traffic Frog croaks Heart-rate, blood pressure etc This style makes it easy to see trends such as busy times of the day, or year. Click here for a higher resolution view.
SPAM originating from Australia SPAM originating from North America SPAM originating from Europe Public internet locations with ramped disabled access in Victoria Australia	Heatmaps Another intuitive mapping style is static heatmapping. This is particularly effective and easily understood by laypeople and even children. This form of heatmap often poses further, more valuable questions that can then be explored. For example "Why are so many people in the western suburbs of Sydney buying/using my product ? What else do I need to do anything to take advantage of this trend?" Similarly one may ask "Why aren't the eastern suburbs buying ? what should I do to turn this around" We can map any dataset in this manner, examples include: Petrol Sales General goods sales Website traffic Populations growths Membership demography (eg sports clubs) Crime data, where are the hotspots? Health and disease data, such as cancer incident clusters Click on the images for a higher resolution view
Attacker and Victim (Internet security) Attackers and Victim (Internet security)	Relationships (link maps) Amongst a mass of unstructured data, hidden patterns can emerge. These 'link graphs' show some compelling relationships between attacker and victim in the realm of Internet security. Adding color to these graphs further adds to the value of the diagram by showing active nodes in the center (in red) and quieter attackers on the outside (in green). Example 1 Example 2
South Australian Frog Sightings 1947-2008	Frog sightings As part of the 'Government 2.0 workforce' Mashup Australia initiative, we worked on several applications. For one project we used a large data set from the South Australian Department For Environment and Heritage containing over 6,700 frog sighting notes dating back to 1947 and having 20 species identified. We prepared a few maps of this data, and hope that these maps have added to the body of knowledge in some small way. click here for some examples.
Spams sent from Europe locations	Animated IP address location This animated movie shows the location of computer 'IP addresses' that have sent email SPAM. The same mapping technique can be put to a myriad of other applications, such as : Mapping who/where and when people browsed a website Mapping who/where and when people bought from a website Knowing where and when customers browse and transact is a priceless piece of intelligence in today's 24x7 Internet economy. Example 1 - watch the whole video here Example 2 - Screenshot of European activity
Prevalent words in a typical Lottery scam email	Word Clouds Simple, effective, intuitive. A great 'ready reckoner' for massive collections of text. This work was part of an analysis of SPAM emails Click here to see more examples

All examples were created to illustrate the mapping technique and its applicability to a given field. No private data was used in the making of these samples without permission.