Tag Archives: data visualization

What Happened to May?

31 May

It’s not a good sign for my summer that I lost an entire month of the spring. Ah well… it was a different sort of month, filled with some work events and an unexpected life event that kept me away from my computer for more than a week. But before the entire month passes, let me share some things from my “To Share” folder and keep my streak of active blogging months alive. I’ve been blogging here for going on 4 years and have never had a month without a single post. It’s not happening now!

A couple of interesting projects that I tackled for the month involved (1) creating a social network map using Tableau and (2) designing a lengthy evaluation survey in REDCap. For those interested in details regarding either or both of those tasks, I’ll write up some notes and share them in a future post. For now, let’s empty the folder:

Science

If you work in the biomedical research world – or heck, if you simply follow any news about biomedical research – you’ve surely heard the acronym, CRISPR in the past year or two. The discovery and use of Clustered Regularly Interspaced Short Palindromic Repeats, CRISPR, for editing genes has been an enormous breakthrough in science. It’s also, per this article in Nature, a new and important key for understanding how genomes work. Curious about how it can be applied? Here’s a fun quiz from the folks at Wired magazine, Can You Tell These Real CRISPR Projects from the Fake Ones?

Wonder what it might be like to enjoy the rat race? Researchers do an awful lot of things to our rodent friends for the sake of science, but did you know that they actually enjoy some of them? The rodents, that is, not the scientists. Here’s a fun piece from the blogger, GrrlScientist,  Wild Mice Actually Enjoy Running on Exercise Wheels.

One day, cephalopods will rule the world? Do you doubt me? Here’s proof.

Data and Data Visualization

I may have shared this in a previous post, but even if so, it’s worth sharing again – Flowing Data’s 10 Best Data Visualization Projects of 2015. You can be both wowed and inspired by reviewing them.

It goes without saying that librarians are hardly the only professional group retooling to adapt to a data-driven, data-overflowing world. Journalism has also become a profession that looks very different from what it did just a few short years ago. Journalist Geoff McGhee’s video report, Journalism in the Age of Data, is a great piece that chronicles and explores how news rooms are changing and adapting to be able to effectively use data to tell stories.

Making data available to users in every conceivable (and even inconceivable) means is key, argues Mac Bryla in his piece for Tableau’s blog, Data Diaries: Culture of Innovation Starts with Self-Reliant People. Here’s a snippet:

What True Self-Reliance Looks Like

Self-reliance is built in part on people’s ability to answer their own questions, which is closely related to the concept of self-service analytic, especially in today’s data-driven age.

For many, the idea of self-service business intelligence, where IT opens up a small menu of capabilities for employees, has not yet produced its promised benefits despite having been around for a few years. It is clearly an improvement on the traditional, IT-run report factory, but it is still too limiting to satisfy people’s ever-growing appetite for information.

So far, self-service BI is more like IKEA’s approach to DIY furniture-making. While it allows us to build our own furniture, it’s limited by factory-manufactured building blocks. As a result, we all end up with the same results despite the process being self-service.

This is not enough when it comes to fostering self-reliance, autonomy, and innovation.

An alternative approach is to give curiosity-driven users a new generation of tools, which will enable them to explore their data and answer their own questions on their own schedules.

I loved the Do-It-Yourself IKEA-approach metaphor.

I’ve been reading Cole Nussbaumer Knaflic’s book, Storytelling with Data: A data visualization guide for business professionals. It’s succinct and straightforward style is terrific. It’s also filled with many excellent examples and step-by-step exercises, all using Excel. Her blog of the same name is also worth checking out. You might note that she’s on a bit of a hiatus after welcoming a new baby to her family, but there’s plenty of archived info worth perusing.

Along the same lines, you may also want to read Scott Berinato’s article in the June edition of Harvard Business Review entitled, Visualizations that Really Work.

For a fantastic, easy-reading article that uses a bunch of data to explain really well how and why complex problems like affordable housing are so complex, read Michael Anderson’s, A guy just transcribed 30 years of for-rent ads. Here’s what it taught us about housing prices. It’s well-worth remembering in this time of inflated promises by political campaigns of all stripes. (My biased, editorial comment there.)

Track the pulse of the US presidential race via Twitter. Just for fun.

Good Reads

One of the best articles I read this month was an inaugural essay for the brand new Journal of Design and Science (JoDS) out of MIT. I admit that I had to read it a few times through and consult a few outside resources to fully understand it, but once I got it,  I got it! Age of Entanglement, by Neri Oxman, proposes a very interesting theory to explain how the dissolution of clear boundaries between disciplines and specialties breeds (and thus, needs) new means of understanding how people work, think, and create both individually and together. And the Krebs Cycle of Creativity is brilliant!

03.25.16-Oxman-Krebs

Source: Oxman, N. (2016) Krebs Cycle of Creativity (KCC). In: Ito, J. Design and Science.

If you’re ever looking for good, online writing related to science, ScienceBlogs is a nice, one-stop site for finding blogs pertaining to all types of disciplines, including Information Science

A future read will be the Journal of New Librarianship a brand new, open source journal to promote innovative practices in librarianship. They’re seeking submissions, editors, and reviewers. I know I’m planning on contributing in the future. How about you?

Cool Tools

Benchmarking with SciVal in Scholarly Communication and Research Services is a great article by my friend and colleague, Rebecca Reznik-Zellen, Lamar Soutter Library, UMass Medical School. Bibliographic metrics have long been used to measure academic reach and impact, and many tools are coming online to improve and expand this method. SciVal, from Elsevier, is but one of them. Whether you have access to it or not, Rebecca’s piece gives a nice overview of how offering research impact, i.e. the measurement of it, as a scholarly communications and/or research service is right in line with the mission of any academic research library.

Do you wonder how people make those short animated GIFs that appear all over social media today? GifSoup is one way. Here’s a quick tutorial.

Here’s a quick and easy way to clear up some memory in your iPhone, iPod, or iPad. And learn from my mistake – choose a single movie, NOT a bundle. I did the latter and am now stuck with the Lord of the Rings movie trilogy. Ugh! I’ll never watch them.

I missed attending MLA in Toronto this month, but followed along with all of the tweeters using the #mlanet2016 hashtag. Thank you so much to those who kept us stray folk in the know. One of the best sessions I followed was an early morning one devoted to new text mining tools. So far, I’ve had the chance to play with Voyant Tools. It’s simple to use, easy to understand, and is a wonderful addition to the toolkit.

Virtual Knick Knacks

Finally, a few things just for fun:

  • Good Night, Sweet Prince – Another musical and artistic genius left us recently. This isn’t necessarily a “fun” piece, but it’s a beautiful article by Dave Ziren for The Nation. For those of us my age, Prince was our David Bowie. His music lives on, though his fans will miss him forever.
  • Last month, the Smithsonian online magazine published some hidden gems by the reclusive, Harper Lee. Great stuff!
  • Mother Goose Seeks Out Police to Rescue Baby. Who doesn’t love these stories in spring? And do note how it was the female police officer who took direct action. The male officer was too scared. Maternal instincts taking over? I think so.
  • Hilda Bastian is a scientist and editor at the National Center for Biotechnology Information (NCBI) of the National Institutes of Health. She also draws cartoons about science. The National Library of Medicine produced a nice interview with her here.
  • If you happen to be a person who recalls with fondness those Saturday evenings watching slide shows and home movies, you might really enjoy the Home Movie Registry. Yes. It exists. Thank you interwebs.

That’s all for today and, sadly, all I shared for the month of May. I’m sorry I didn’t write more. I’ll try and do better in June.

 

And Then This…

20 Apr

ER_QuoteAfter writing my last post, Iterations on a Profession, a couple of weeks ago, I was prompted to pick up my copy of Eleanor Roosevelt’s book, You Learn by Living, and re-read the first chapter entitled, “Learning to Learn.” It’s a favorite, filled with great words of wisdom and reminders that life isn’t much of anything, once we stop learning. There are many quotable passages, but I chose the above to share here. As you read it, remember this … it was written in 1960. Fifty years ago, “our world was startlingly new.” And surely 50 years before that and 50 years before that and on and on for as long as humans have been riding on the planet. I get hung up too often on how different everything is today, how much change I’ve experienced in my lifetime and in my profession – all in the same timeframe since Mrs. Roosevelt wrote these words. Adapting to change is nothing new. 

The other line from that chapter that lifted my spirits, “if you are interested, you never have to look for new interests. They come to you.” Yes. Thank you for reminding me that it’s a gift to be interested, Mrs. Roosevelt.

Now then, while I was brooding over things, my bookmark folder got filled again. Time to share some with you.

Conference time is upon us and that means many are busy making posters to show off their projects, work, ideas, etc. Better Posters is a great resource to help you make a not-so-awful-and-all-too-common academic poster. Blog posts are added frequently and humor is never in short supply.

Remember Bridget Jones, the character portrayed wonderfully by Renee Zellweger in the movies of the same name?  Well, you may or may not know that her character came to be from a regular column authored by Helen Fielding for the British newspaper, the Independent, in the 1990s. The Independent recently ceased publication of its print paper, becoming a digital-only media outlet. Fielding was interviewed on NPR’s Morning Edition late last month. She speaks of many things, but one of particular interest to my readers might be her thoughts on what’s lost in the shift from print to digital. Anything? You’ll have to listen to find out.

Several items related to data (because, you know, it’s a lot of what I do):

  • A real-life demonstration of the use of big data can have dramatic effects on the child welfare system – Can Big Data Save These Children, from PBS NewsHour.
  • The National Center for Health Statistics has a nice collection of data visualizations that I’d never come across before. Bookmarked. 
  • Gravy Anecdote is the blog/website of Andy Cotgreave, a Technical Evangelist for Tableau. I watched a very informative webinar that he did entitled, How Data Storytelling Can Enhance the Way You Communicate, one in the series produced by BrightTALK. I’ve watched several of their webinars and found many to be quite good. Note, there’s an audio glitch a few minutes in to Andy’s talk. Just wait through it. It doesn’t last long. (Live and learn.) From this talk, I discovered Periscopic, a data visualization studio on the West Coast (USA) doing some amazing work. You can browse through some of their portfolio. I also found Ben Jones’ blog, DataRemixed. Ben also works for Tableau. It’s going to take me awhile to get through all of the things here.
  • Why all of the Tableau focus? One reason is because last week I was trying to teach myself how to use it to create a social network visualization. I found some help from the blog post, In Chaos, Clarity: Social Network Diagrams in Tableau. I remain irked that NodeXL is a Windows-only add-on for Excel (Mac user that I am), but there are workarounds. Believe me.

Just a few more and these are mostly for fun.

Kurt Vonnegut diagrams The Shape of Stories in this YouTube video. I love one viewer’s comment, “It’s like a cross between a college lecture and a stand-up comedy routine!” It’s pretty funny AND informative. 

If you need a story about how to turn a bad situation into something good, read My Wife Left Me with Nothing but a Dog, So I Started this Fun Photo Series. Amazing! I love that dog!

Photos of the archives of the Smithsonian Natural History Museum made the social media rounds a few weeks back. In case you missed it, you can catch up here. I would love a tour some day.

And finally, the one thing that has preoccupied me for more hours than I dare say over the past month… the DC Eagle Cam. Mr. President and the First Lady had a pair of eaglets in March and I have been FASCINATED watching them grow. And I’m not alone. They’ve gotten press on both National Public Radio and the Washington Post. They reside in the Azalea Collection at the U.S. National Arboretum in Washington, DC. Watch online. You can’t get close to them in person.

And with that … Happy Spring!!

Map it Out

1 Dec

I’m taking Alberto Cairo‘s 6-week online course, Introduction to Infographics and Data Visualization, taught through the Knight Center for Journalism in the Americas at the University of Texas at Austin. Just like every other MOOC that I’ve taken over the past few years, I can never keep up with the assignments and get in on the discussions as I wish, but I still appreciate all of the resources and lectures and insight that I get from them.

With info-doodling on my mind, I’ve been putting together a few new ones this week. (It’s a nice diversion from writing a lengthy, very dry final progress report for NIH.) Some are in draft form and I’m awaiting feedback from folks on their content, but here’s a quick and fun one that I put together during lunch. I was remembering all of the places that I’ve been over the past 10+ years related to my work as a medical librarian / informationist / evaluator. It’s been a good gig!

What do you think?

Travel Map

The Art of Collaboration

12 Nov

[The following is my monthly column for the November issue of the UMCCTS newsletter.]

One of the goals of the UMCCTS is to promote and facilitate collaboration across departments and disciplines, thus effectively reducing barriers between the basic and clinical sciences, and ultimately speeding the pathway between the discovery and implementation of new treatments, therapies, and the like that improve health. One means of demonstrating collaboration is through co-authorship. The networks that develop between authors of publications give us a picture of how individuals are connected and where collaborations exist.

Social network analysis is the process of investigating social structures through the use of network and graph theories. It characterizes networked structures in terms of nodes (individual actors, people, or things within the network) and the ties or edges (relationships or interactions) that connect them. (Wikipedia, Social Network Analysis

For this month’s column, let’s look at an example of a social network analysis that shows the co-authorship relationships between members of the Division of Health Informatics and Implementation Science in the Department of Quantitative Health Sciences (QHS). QHS is one of the newest departments at UMMS, with several of the senior faculty arriving on campus only about 6 years ago. The research that the Department does in developing innovative methodologies, epidemiological research, outcomes measurement science, and biostatics is integral to the nature of clinical translational research. By examining the co-authorship relationships of members of the Health Informatics group, we get a snapshot of how well these faculty members are connecting with other departments, other disciplines, and even other institutions. In short, we see how and where collaborations have developed and thus how well the UMCCTS goal of building them is being met.

To do this analysis, we first need to identify all of the publications authored by at least one of the Division’s faculty members for the period of time that s/he has been part of the Division, as well as all of the unique co-authors associated with these papers. In doing this, I found 221 publications authored by 716 different individuals. Using Sci2, a toolset developed at Indiana University, I was able to analyze the patterns and create a visualization showing the connections between the co-authors.

Informatics Division CoAuthor Network

One thing that we clearly see is that several faculty members are prominent hubs in the network, meaning they co-author many papers with many people. Drs. Houston and Allison are the most obvious examples here. We can also see that a number of branches grow from the periphery. At the base of each of these is a faculty member from the Division (counterclockwise from upper right, Drs. Cutrona, Hogan, Shimada, Mattocks, and Yu). Finally, we note that even hubs that are less connected to the clustered middle, e.g. Drs. Yu and Pelletier, are still linked, representing the reach of the collaborative network that the Division has formed over the past years.

Tools like Sci2, Scopus, SciVal, and ISI Web of Science provide another way, i.e. a visual demonstration, of the success of our programs and the impact of the translational science being done by the members of the UMCCTS.

Sci2 Team. (2009). Science of Science (Sci2) Tool. Indiana University and SciTech Strategies, https://sci2.cns.iu.edu.

A Little of This, A Little of That

30 Oct

I’ve been out and about and busy juggling many things this month – library conferences, speaking engagements, and day-to-day work. All of it finds me neglecting my poor blog. Let’s see if I can’t remedy that a bit today. Continuing with the theme I began with my last post, here are some great finds that I’ve come across over the past weeks:

Rob Peterson of Dun and Bradstreet offered a nice blog post last month, highlighting 14 Data Visualization Tools to Tell Better Stories with Numbers. It provides a concise overview of which type of visualization is best for the job, along with links to online tools for each. Remember, if you only have a hammer, everything looks like a nail. Keep more than one tool in your toolbox.

I’ve printed off the instructions for How to Make a Timeline from a Google Spreadsheet. They’ve been sitting on my desk for weeks, but I know I’ll find the time(line) to give it a try. Timelines can be such a wonderful way to tell a story.

Print Friendly was recommended to me via some blog and/or list that I follow. I’ve discovered that I use it so very often since. It’s terrific for printing out webpages without all of the ads and photos and whatnot. If you must print, it offers a greener way of doing so.

Thanks to the great folks at both UMass Amherst and UConn, plus the Boston Library Consortium, I was finally able to attend a hands-on workshop on Tableau. I tried unsuccessfully to teach myself how to use it for awhile. (This is due more to my lack of time and focus than on any of Tableau’s tutorials and help guides.) I knew that I’d like it, if I got around to using it. And yesterday, I published my first test visualizations. Woot!!

The American Society of Cell Biology recently shared an article about NIH’s new tool to calculate Relative Citation Ratio. iCite allows users to compare citations, offering an alternative (read, better) to the standard journal impact factor. It’s nice to see NIH supporting the idea that the measure(s) of research impact are broader than we’ve long accepted.

I’m a big fan of Shaun Usher and his projects, “Lists of Note,” “Letters of Note,” and “LetterHeady.” While perusing his site recently, I came across the collection of videos called, “Letters Live.” The art of letter writing is sadly fading, but its beauty thankfully revisited through this wonderful collection of actors reading the correspondence of the famous and infamous. Enjoy!

One of the library conferences that I attended this month was the annual meeting of the North Atlantic Health Sciences Libraries (NAHSL). I was on the planning committee for the conference and one thing that I decided, on a whim, to do was create NAHSL BINGO, a game that attendees could play throughout the meeting. It was filled with typical sightings and/or sayings one sees/hears during these events (knitters? cell phones going off? someone complaining about the room’s temperature?). To create the cards, I Googled “bingo card generator” and found a great one here. Bookmark it for fun and games emergencies.

At that same meeting, perhaps one of the biggest audience gasps came when the librarians from Yale University’s medical library unveiled their brand spanking new tool to help the poor soul tackling systematic reviews … the Yale MeSH Analyzer. Geeky librarian souls, rejoice in its awesomeness.

My Desk

Lastly, this week’s What’s On My Desk Right Now? Nathan Yau’s, Data Points; Charles Wheelan’s, Naked Statistics; Albert Cairo’s, The Functional Art; Dona Wong’s, The Wall Street Journal Guide to Information Graphics; and the hot-off-the-press The Very Best American Infographics of 2015, edited by Gareth Cook. Oh, and a drawing of a bunny that I doodled while on a lengthy conference call a few weeks back. Sense a theme?

Until next time… doodle on!

Share and Share Alike

1 Oct

One of my favorite books from the past few years is Austin Kleon’s, Steal Like an ArtistI’ve mentioned it in several previous posts (search “Austin Kleon” on the site and you’ll find them), mostly because I continue to pop back to it on a regular basis. It’s filled with plain, simple, good thoughts to inspire your creative side. I also follow Austin on Twitter. Awhile back, he declared that he was going to shift from immediately tweeting out lots of ideas, project updates, and interesting things he came across online to putting them all in an indexed version that he’d send out via his Tumblr account on Fridays. Of course, as soon as I saw this announcement I signed up for his email list and ever since, his Friday email to me has become something that I look forward to.

My new role as an evaluator finds me doing a lot of things that I’m hard pressed to chronicle as I once did for my work in the library world. In part, I think it’s because I spend a great deal of time learning new things and/or putting newly learned skills into action. It takes time and energy that ultimately takes away from my abilities to come up with interesting musings for this blog. That said, I’m not about to give up my blogging habit. It means too much to me. After lots of thinking about how to revitalize it, the thought came to me to take Austin’s advice and steal an idea … from him!

Thus, I’ve decided to shift the pattern of own blog a bit – at least for awhile – and turn it into a way to share with you, my readers and followers, some of the cool and interesting and inspiring and, dare I hope, helpful things that I come across weekly in my work and play. So here we go … here are a few things from the past several weeks (I’m cheating already, but it’s the start of a new thing and thus allowed). Enjoy!

  1. It only seems fair that I give a tip of the hat to Mr. Kleon to start. Besides his books, I also enjoyed watching the video from a terrific talk that he gave to an audience at Google a few years ago. It’s a wonderful summary of his theory on stealing and some inspiring words to anyone seeking to get out of the way of themselves when it comes to creativity.
  2. Juice Analytics is a data analysis and design firm in Atlanta that provides visualization services to businesses and organizations. They also freely offer a number of great resources for learning these skills, including white papers, video tutorials, and the book, Data Fluency (not free, but well worth the $21.59 price tag for my Kindle version). One of the best resources on their freebie page is “30 Days to Data Storytelling,” a guide to … well, it’s pretty self-explanatory, isn’t it? It’s a list of videos, tutorials, articles, etc., a few a day for 30 days, to help you understand how to use data to tell your story. Good stuff.
  3. Back at the end of the summer, just as school was ready to gear up, Slate published a series of blog posts during one week under the banner, What Classes Should I Take? The list is fascinating and the posts very well written. Two that I liked in particular were, The Secret Technique for Learning How to Code: Step 1. Don’t Be Intimidated, by Victoria Fine, and What are the Odds: To Learn to Think Critically, Take a Statistics Class, by Laura Miller. These two are most relevant to anyone in the library, information, or evaluation worlds. I also found the advice to take Art History, Public Speaking, and No Class at All, quite valuable. The entire series was great.
  4. The Noun Project – Icons for Everything – is pure awesomeness. A gazillion free icons to drop and drag and plop into place OR inspire you to make your own.
  5. One thing that I do often in my job is doodle pictures to tell the story of a particular group of researchers or a research center. Fancy word, infographics. Since I started sharing some of these on this blog and other places, several colleagues and friends have asked for advice on tools to use to make them. I tend to draw my own in Illustrator and/or Powerpoint, but there’s a handy list of 10 Free Tools for Creating Infographics on the Creative Blog website.

Finally, I think I’d like to add one consistent thing for each of these lists/posts. I’m going to call it, What’s On My Desk Right Now. Right now, it’s this:

Visual Storytelling

Visual Storytelling: Inspiring a New Visual Language, edited by Klanten, Ehmann, & Schulze, and available through Gestalten. I learned about this book after stumbling upon an interview with Jonathan Corum, the graphics editor for science at the New York Times. He’s one of many featured in this book and I can’t wait to dive into it. Now. Lunchtime reading!

Learn Something New Every Day

27 Aug

My spouse recently got a call from a couple of faculty members in the computer science department at the college where she teaches. Lynn teaches in the art department; graphic design, motion design, typography, and the like. The computer science guys wanted to explore the possibility of her teaching a course in data visualization. Knowing that I have both an interest in the topic, plus the need to fumble through learning it (and using the new-found skills) for my job as an evaluator, she asked me what I thought about the opportunity.

Lynn knows enough about data visualization to know there’s a computer programming aspect to it. The computer science guys know enough to know there’s a design element to it. They all know that there’s math involved, specifically statistical analysis. I also suggested that it involves writing and/or journalism. She was hesitant – and rightly so – to jump on board without thinking and talking it through, because what she is an expert in is only one area of a multi-disciplinary field.

“It’s team science,” my boss, Nate, said when I shared the story with him. Exactly. And in many ways it’s an example of how the ways we traditionally teach, research, and work need to be re-examined and re-worked.

Too often, I find, we search for collaborators within our own circles of expertise. Librarians collaborate with other librarians. They might be from different types of libraries or different library departments, but often we’re all librarians. Researchers collaborate with other researchers. Scientists with other scientists. In some ways, it can be argued, this is team science (or team-based work), but it falls short of the ideal.

At it’s best, team science brings together experts from across different disciplines to work on problems that simply cannot be tackled by any one group. Think about a health problem like obesity. It’s huge and as such, touches upon so many different aspects of life. Addressing it requires everyone from geneticists to behavioral psychologists to nutritionists to exercise physiologists to public policy makers to urban planners to educators to medical doctors to parents to science writers to … it’s probably easier to identify the experts not needed than those who are. The point being that some of the most successful efforts at addressing obesity are those that bring as many of these fields of expertise together, to work together towards a solution. (The UMass Worcester Prevention Research Center is an example, close to home for me.)

But back to data visualization, what I’ve found is that those who do it best are either freakingly gifted (there’s always an Edward Tufte in any area) or they’re smart enough – and talented enough – to assemble good teams for the work. As I’m seeking to discover the best resources to learn and practice the skills for this job, I’m continually reminded to look across lots of different disciplines. I look to evaluators (Stephanie Green and Chris Lysy), graphic designers (Nigel Holmes), business intelligence consultants (Stephen Few), journalists and journalism professors (David McCandless and Alberto Cairo, respectively), artists (Manuel Lima), statisticians (Nathan Yau), doctors (Hans Rosling), and the people in my very own Quantitative Health Sciences Department. I read things by people who are good presenters, experts in visual communication, and those skilled in improvisation. In other words, while I’m limited in resources to actually form a real team of experts to do data visualization for the UMCCTS, I’ve learned enough to seek them out from across lots of corners so that I can do a better job. (I’m also lucky enough to be working in an environment where people don’t mind me trying things out on them. It’s a benefit of being in academia.)

Thanks to Chris Lysy’s (DiY Data Design) weekly creative challenge, this week I practiced using design icon arrays to report on the findings of a course evaluation with a small (n=15) class size. We get so hung up on “big data” that it’s easy to forget the real challenges of working with and presenting the results from small data sets. I really enjoyed taking this challenge and putting it to use. Here are a couple of examples. For the sake of privacy, I’ve redacted the questions being reported.

Time

Sample Arrays

Now, here’s one lesson that I learned for the next time that I use this visualization device. I need to make them like this:

better copy

This example allows me to better show that each response is represented by a single box, thus 11 people answered “Yes” and 4 answered “Somewhat.” Live and learn. Every day.

Next Tuesday, I’m taking a workshop on creating podcasts. It’s something that I’ve wanted to try and I found a 2-hour, evening class in Boston. Stay tuned to see what that new learning might bring.