Mirador

Intended for visually exploring correlations in complex datasets.

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Mirador is mainly intended for visually exploring complex datasets, such as those involved in health care, epidemiological and infectious disease research.

Thus, it can help you find potential trends or correlations between the input data. Luckily, the product's user manual, available online, is carefully organized. Moreover, the tool comes with sample data you can use to try it.

Needless to say, interpreting statistical data requires proper knowledge of the matter. However, provided you meet that requirement , the developers have done a lot in making the tool easy for you to use. In this regard, the application's interface is composed of three regions. Most of the screen conveniently shows the variable browser, in which variables are shown in a two-dimensional grid together with their plots. Most of the operations are carried out with mouse drag-and-drop and scroll moves. Besides, using the keyboard is supported, but only for less important things. The other two interface regions, in turn, let you control the options and search for information.

The tool supports importing any type of statistical data as long it is in tabular form. Likewise, the resulting screens can easily be exported in PDF format. Although the application automatically processes visible data, it feels it is not very efficient in updating the plots if you compare with other similar tools. Finally, it is excellent news that Mirador can be added more processing capacity via scripting.

All in all, Mirador definitely deserves your attention if you are looking for a statistical tool to visually analyze data. Good to hear the product is opensource and will not cost you a dime, an opportunity you should not miss to give it at least a try.

Pros

  • Supports complex datasets
  • Comes with proper documentation and sample data
  • Supports any kind of statistical data
  • Exports to PDF format
  • Supports scripting

Cons

  • Slow processing
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Specifications
License type:
Open source