Data visualization
Data visualisation encompasses a wide range of practices aimed at transforming data into a visual form that conveys information and sometimes enables interactive work with the sources of that data. Data visualisation can take various forms, from traditional graphs and infographics to cartograms and cartodiagrams to interactive visualisations of so-called big data.
For humanities researchers, data visualization can be useful in two ways. One is exploratory visualisation, which helps to discover patterns in large datasets, and the other is to present data to the public in a more understandable and attractive way.
The ability to visualize data effectively for exploring datasets or presenting research results is one of the most important skills not only in the humanities. There are a number of courses that will introduce you to the ins and outs of creating graphs, infographics and other types of visualization.
Data visualization tools
- Raw Graphs Free open source tool for data visualization.
- MS Excel Microsoft Excel is a spreadsheet and data analysis and visualisation tool.
- Tableau Tableau is a data visualization and business intelligence tool used to report and analyze large volumes of data.
- Graph commons Graph Commons is a platform for network mapping, analysis and visualization.
- R R is a freely available software environment for statistical calculations and visualization.
- Power BI Microsoft Power BI is a Business Intelligence (BI) platform that provides users with tools to aggregate, analyze and visualize data.