Join Bill Shander for an in-depth discussion in this video Next steps, part of Learning Data Visualization.
The field of data visualization is both broad and deep, and it's a really great intersection between three things that I love; design, technology and journalism. It's sort of like in the movie Ghost Busters, but in this case you actually want to cross the streams. I really hope you've picked up a lot of useful information on the necessity and philosophies for visual communications, and especially data communication. The brain science behind effective visual approaches to data,how to find and define your information hierarchy,how to work with data, and how to assemble it all into an effective, compelling, and hopefully insight filled data experience,but this is really just the fundamentals.
There's a lot more to learn on the subject and here are a few resources that I recommend. You'll find this list in the exercise files folder,so you can refer to it on your own,but this includes a bunch of sites and blogs that focus on data visualization. Bunch of these have original thought leadership on the subject and most of them curate some of the best visualizations across the industry,always really interesting reading and I've included a link to D3, because as I mentioned that's one of the technologies that you'll come across over and over and over again and also there are so many great examples on that site, again for inspiration as well as for learning.
Finally you'll see the links for visualizing.org and visually, which are two of the great aggregators of visualizations online and amongst the mainstream media, these are some of the places that I always go to for really fantastic examples: NY Times, Wired, Fast Company, Bloomberg more recently, and Guardian, and, of course, Five Thirty-eight. You're going to find excellent examples of visualizations on these media platforms,so, keep your eyes open for those as well. Thank you for participating in this course with me, I had a lot of fun putting it together. I hope that you enjoyed experiencing it with me and I look forward to meeting you all out in the real world of data visualization.
Feel free to follow me on Twitter ,I share a lot of interesting resources and visualizations all the time as well. Happy visualizing.
- Channeling your audience
- Understanding your data
- Determining the information hierarchy
- Sketching and wireframing your ideas
- Defining your narrative
- Using typography, color, contrast, and shape to convey meaning
- Making your visualization interactive