9/1/2023 0 Comments Visualize it shark tank![]() Cleveland’s ‘ The Elements of Graphing Data‘ as further reading that could potentially help me. She shared a reference to page 217 of William S.She shared that she didn’t feel, however, that using +/- 1 standard deviations to create the error bars was the best approach.She complimented me for using error bars, and she mentioned that she has noticed most data designers don’t.She then mentioned that she had no issue with how I was showing the data, but that she had an issue with what was being shown – averages (means) of salaries, and she explained why she had a problem with that – “incomes are not usually distributed symmetrically…”.She started the email by saying that she was reaching out privately because she didn’t want to affect the judging process of the contest, which at that point was still ongoing.Here’s the essence of her feedback to me: She had seen my contest submission and blog post, and she was reaching out to give me feedback. It was exciting that someone of her experience and stature would be reaching out to me. Just seeing her name in the From field was a thrill to me. So to me, this was Naomi “effing” Robbins – a person I had never met, but someone who I admired greatly from afar. She has served as chair of the Statistical Graphics Section of the American Statistical Association (ASA). in mathematical statistics from Columbia University. It was from Naomi Robbins, author of ‘ Creating More Effective Graphs‘, a book I had read and loved. Here’s what I built: My Excel salary survey dashboard from 2012Īfter blogging about my submission, I got an email in my inbox. Interactivity in Excel just wasn’t (still isn’t) my strong suit. People like Chandoo or my friend Jorge Camoes could crank out this and ten times better in a fraction of the time that it took me to do it. It took me a long time to build my final submission, and it was like swimming in molasses for me. I wanted to challenge myself to see if I could build something similar to a Tableau dashboard in Excel. It was an Excel contest run by Chandoo about visualizing salary data. Now, I’d like to share a time this was modeled well for me.Ībout seven years ago, when I was just getting started in the data visualization community, I created a dashboard in Excel for a contest. Try to put yourself in the shoes of both the giver and the receiver of feedback. When, if ever, is it okay to give unsolicited, constructive feedback in public to someone who shares something they’ve made broadly online?īefore reading any further, think about how you’d answer this question. I have some thoughts on this, thoughts that have shifted recently, and I’d like to pose a question that I’ve seen discussed recently related to the topic of giving critique: I know I’ve been guilty of that on more than one occasion. They just sit behind their keyboards and fire off their thoughts before taking time to think about how it will be received. That doesn’t always happen in other online communities, and I think a big part of the reason why things get ugly is that people don’t go about giving constructive criticism with care. That’s okay, and we need to have healthy debates and be able to disagree.īut it’s also important to be civil and considerate of one another. Often it revolves around a particular visualization or a technique that someone has put out there. A few times every year a contentious debate surfaces. I’ve been involved with the broader data visualization community for almost a decade now, and I feel that it has gotten stronger over the years. If they say ‘no’, just keep it to yourself and move on. The world will keep turning. If they say ‘yes’, ask whether they’d prefer to hear your thoughts in public or in private. Tl dr – If someone hasn’t asked you for feedback about something they’ve made, reach out in private first and ask them if they’re interested in hearing your thoughts. ![]() Just that they shared thoughts that helped shape what is shared here. That doesn’t necessarily mean they agree with everything in it. Author’s note: Thank you to Naomi Robbins, Eva Murray, Chris Love, Luke Stanke, & Steve Wexler for reviewing and providing helpful input to this blog post.
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