7 Tools for Data visualization in R, Python, and Julia

7 Tools for Data visualization in R, Python, and Julia

Last week, some examples of creating visualizations with Htmlwidgets and R were presented. Fortunately, there is many more options available for creating nice visualizations. Tools and libraries exist for all your favorite languages. This post plans-provide a quick reference list of some of the possible options for creating data visualizations.

Python

A full-purpose programming language, Python has now also become a tool-of-choice for many in data science. Pandas and Scikit-learn provide many of necessary functions for data analysis and machine learning. Below is a list of some of the leading tools for creating visualizations in Python. See the following project for these examples, Python visualization.

1. Seaborn-a Visualization library based upon matplotlib. Although not interactive, the visualizations can is very nice.

1. Bokeh-bokeh provides a bit more interaction than Seaborn, but it's still not fully interactive. Click on the ' image to ' see the ' plot in ' full size.

R

A very popular language for data science, originally built by/for statisticians and now very widely used.

1. Htmlwidgets-previously discussed in the post, htmlwidgets for Rich Data visualizations in R. allows for tons of interact Ion and great for the web.
2. Ggplot2-a very popular plotting system for R. It is widely used and can create just about every type of graph. However, the plots is not interactive. R Visualization is a sample application that creates the graph below.

Julia

A more recent newcomer, Julia is quickly gaining popularity among data scientists. Due to it young, the Julia visualization tools is less mature, but they is advancing quickly. A Sample Project For Julia can is seen at, the simple Julia plots.

1. Gadfly-a Julia Library for visualizations. Inspired by Ggplot2 for R. It isn't really interactive, but it's a great start.

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2. escher-beautiful, interactive Web UIs in Julia. Escher is rather new, so it's definitely a project to watch. It uses gadfly for graphics.

Other-multiple Languages

1. Plot.ly-an Online collaboration platform for sharing visualizations and data. It includes supports for Python, R, and Matlab. Hopefully, more to come on the A future blog post.

Continue following the blog, (@senseplatform), and Facebook for more examples of creating wonderful visualizations with R, Python, Julia, and sense.

7 Tools for Data visualization in R, Python, and Julia