CanvasXpress

Data Analytics for Reproducible Research

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Simple and Intuitive Design

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Software Design

Visualizations optimized to enhance the user experience and facilitate data exploration.

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User Interface

Rich set of unobtrusive widgets for data analytics embeded in every visualization.

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Audit Trail

Full tracking of data, configuration and every single user interaction for Reproducible Research.

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Integration

Easy to integrate with R and many JavaScript frameworks like Node, React, Angular.

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References

Features

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Open Source

Free for non-commercial and academic use. Please contact us for commercial use. Software released as GPL3.

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R Integration

Install the CanvasXpress R package from CRAN and use it in the R console, R-Studio or in any Shiny application.

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NodeJS

Node Integration

Install the CanvasXpress Node modules from npmjs to programatically create visualization in the command line.

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ReactJS

React Integration

Install the CanvasXpress Node modules from npmjs to easily integrate with React JS. Included examples.

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AngularJS

Angular Integration

Install the CanvasXpress Node modules from npmjs to easily integrate with Angular JS. Included examples.

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File Formats

Create visualizations starting with different file formats. Load data from JSON, XML, CSV or PNG files by simply drag and drop.

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Interactive Plots

Rich and dynamic user experience to explore data with mouse-overs, zoom, clicks, resize, drag and drop, menus, tables and more.

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Broadcast Events

Built-in automatic broadcast mechanism to comunicate events to all visualizations in web page to highlight, filter-in or filter-out.

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Data Wrangling

Explore and model data sets by grouping or segregating based on meta data, sorting, clustering, transforming and much more.

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Contact - Services

Services Provided by

PO Box 810, Ganges
Salt Spring Island, BC V8K 2W3

1-833-248-1632 x 5
1-250-412-3475 x 5

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