There are a wide range of tools available to refine and query your data, and to create, edit, and display your visualizations. The types of tools available for building visualizations fall into four major categories: basic productivity applications, visualization software, business
Up vote Data Visualization Made Simple as the top book for computer science students! The ability to communicate the results of an analysis is paramount to the work of any computer scientist. UP VOTE NOW No Title
I recently was interviewed by the Digital Enterprise about the challenge with data silos, and stressed how data visualization can aid in byte-sized comprehension and reiterates the importance of data-driven decision-making. Read more… As
When you are working a data visualization task look for inspiration. For example, let’s say you are working to create an engaging graphic that showcases the changing unemployment rate. Of course, a simple line chart works well. However, there are other
This is the second of three posts that describes an exercise I’ve designed based on the work of Dr. Hans Rosling. In the first post, I described an exercise where I ask students to interpret the key takeaways from a
The late Hans Rosling has been an inspiration to me and millions of others because of his passion for using information visualizations to communicate powerful ideas. In tribute, I wanted to share an exercise I created based on Dr. Rosling’s
This is a tutorial for using Adobe Illustrator to edit data visualizations. This was created for my Data Visualization Students at NYU Stern! I provided step by step instructions followed by a video tutorial and demonstration. Enjoy!
I was invited to speak at the Plotcon conference in early November. The conference has been described as “The world’s most visionary conference for data visualization in scientific computing, finance, business, and journalism.” It was a true honor to be
There are a wide range of tools available to refine your data and to create, edit, alter, and display your visualizations. These include: R, Python, HTML, plot.ly, JavaScript, Qlikview, Google’s Visualization API, Tableau, Domo, Adobe Illustrator, Excel, PowerPoint, KeyNote, and
There are many books, guides, and tutorials to help you learn data visualization. In this post, I’m sharing a select bibliography of the 16 key readings that I use in my practice and teaching. The readings are diverse; data visualization