Case study: A brief review of online visualisation tools that can help There is a growing range of online tools to help users their data. This brief review highlights four online visualisation tools that can help. The links page also links to lots more useful resources. Online tools that can help visualise data (these tools are free to use, but any data uploaded is typically then available on the system for other users) highlighted below include: On the resources and links page, we also link to free software applications and libraries for visualising data, and development languages for more sophisticated data visualisation.
5 of the Best Free and Open Source Data Mining Software The process of extracting patterns from data is called data mining. It is recognized as an essential tool by modern business since it is able to convert data into business intelligence thus giving an informational edge. At present, it is widely used in profiling practices, like surveillance, marketing, scientific discovery, and fraud detection. There are four kinds of tasks that are normally involve in Data mining: * Classification - the task of generalizing familiar structure to employ to new data* Clustering - the task of finding groups and structures in the data that are in some way or another the same, without using noted structures in the data.* Association rule learning - Looks for relationships between variables.* Regression - Aims to find a function that models the data with the slightest error.
Tutorials How to Make a State Grid Map in R Something of a cross between a reference table and a map, the state grid provides equal space to each state and a semblance of the country to quickly pick out individual states. How to Make Animated Line Charts in R Sometimes it's useful to animate the multiple lines instead of showing them all at once.
10 significant visualisation developments: January to June 2013 To mark the milestone of each mid-year and end of year I try to take a reflective glance over the previous 6 months period in the data visualisation field and compile a collection of some of the most significant developments. These are the main projects, events, new sites, trends, personalities and general observations that have struck me as being important to help further the development of this field. At the end of 2012 I published a collection for the final 6 months of 2012 and now I’d like to mark the first half of 2013 with my latest perspective. I look forward to hearing from you with suggestions for the developments you believe have been most significant. And so, as ever, in no particular order…
Home - SCaVis Freedom to choose a programming language. Freedom to choose an operating system. Freedom to share your code. Enjoy the freedom of SCaVis. Gallery "Spike" map Interactive United States population density map. Average rating: 7.5 (23 votes) 2D histogram An extension of the concept of histogram to display the colour image content. Average rating: 4.8 (5 votes)
Data Mining Image: Detail of sliced visualization of thirty video samples of Downfall remixes. See actual visualization below. As part of my post doctoral research for The Department of Information Science and Media Studies at the University of Bergen, Norway, I am using cultural analytics techniques to analyze YouTube video remixes.
SWF Charts > Introduction XML/SWF Charts is a simple, yet powerful tool to create attractive charts and graphs from XML data. Create an XML source to describe a chart, then pass it to this tool's flash file to generate the chart. The XML source can be prepared manually, or generated dynamically using any scripting language (PHP, ASP, CFML, Perl, etc.) XML/SWF Charts makes the best of both the XML and SWF worlds. XML provides flexible data generation, and Flash provides the best graphic quality. Features: Relation Browser / Visualisations showing relations Relation Browser - Moritz Stefaner Different types of relations, different type of entities. Number of relations should not get bigger then ~25. Weka 3 - Data Mining with Open Source Machine Learning Software in Java Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization. It is also well-suited for developing new machine learning schemes. Found only on the islands of New Zealand, the Weka is a flightless bird with an inquisitive nature. The name is pronounced like this, and the bird sounds like this.
Eureqa Eureqa is a breakthrough technology that uncovers the intrinsic relationships hidden within complex data. Traditional machine learning techniques like neural networks and regression trees are capable tools for prediction, but become impractical when "solving the problem" involves understanding how you arrive at the answer. Eureqa uses a breakthrough machine learning technique called Symbolic Regression to unravel the intrinsic relationships in data and explain them as simple math. Using Symbolic Regression, Eureqa can create incredibly accurate predictions that are easily explained and shared with others.