Great data visualization starts with great ideas and design but only materializes with the right tools. Here is a list of software I have used to produce figures and what I think their best features are.

• R – Statistical analysis and data visualization software. Best feature: Reproducibility of figures. Open source software means a lot of free scripts and help available online.

• Plotly – Online data visualization software. Best feature: Interface with multiple programming languages including R and Python or just use their graphical user interface.

• Pictochart – Online infographic generating software. Best feature: Premade themes

• Inkscape – Open source vector graphics editing software. Best feature: FREE

• Adobe Illustrator – Vector graphic editing software. Best feature: Industry standard software with many free tutorials online.

• yeroon.net/ggplot2 – A web interface for the R package ggplot2. Best feature: Prototype plots before writing out script. Great for non-R users that like ggplot2 aesthetics.

• A list of additional tools and their descriptions can be found in Ten Simple Rules for Better Figures

补充

• Gephi is an interactive visualization and exploration platform for all kinds of networks and complex systems, dynamic and hierarchical graphs.

• ggtree: a phylogenetic tree viewer for different types of tree annotations.

原文链接

• Data Visualization Tools