Graphia is a powerful open source visual analytics application developed to aid the interpretation of large and complex datasets. Graphia can create and visualise graphs from tables of numeric data and display the structures that result. It can also be used to visualise and analyse any data that is already in the form of a graph. Features

Support for a variety of input data formats, ranging from raw CSV to GraphML Create correlation graphs using algorithms such as the Pearson Correlation Coefficient Visualisation of millions of data points and relationships Interactive visualisation and layout in 2D or 3D Flexible search facilities, based on attribute information Fast, tunable network clustering using Louvain or MCL algorithms Graph metric algorithms including PageRank, Betweeness and Eccentricity Enrichment Analysis Filter graph elements based on numeric or string based attribute expressions Customisable and simple to use web search Easy export and sharing of analysis results

Many Data Types from Many Sectors

Biological Sciences - protein interaction data, transcriptomics, single cell analyses, proteomics, metabolomics, multiparameter flow cytometry, genotyping data, medical imaging data Agritech - data relating to the performance of animals, crops, farms, etc. Fintech - any numerical data relating to changing variables over time, e.g. share prices or categorical data relating to the attributes of commercial entities Social Media - network connections between individuals, companies, etc. Text Mining - count matrices of words found across many documents Questionnaire - answers to questions are categorical (yes/no) or continuous (1-10)