Making Data Accessible Through Visuals in Science

I was sitting in a meeting, and a graph popped up during the presentation. It had five different colors, two types of chart elements (bars and lines), and it told multiple stories. I didn’t know where to look. My eyes – and brain – eventually gave up. The five-second rule (not the one about dropping food on the ground!) came from user research, and it measures how effectively information is communicated to the audience within the first five seconds. Originally used for testing web pages, it is now a recommended guide for interactive visual images – like infographics, charts, etc. Before you insert a complex graph into a presentation, I beg you to step away from your Excel file and consider the following: ☑ Can an audience understand this in five seconds? ☑ Is there a better way to tell this in a narrative? ☑ Is the chart necessary? If so, how can it be simplified? Does it have a clear title? Easy elements to understand? Remember, the more data points you have in a visual, the harder it is for your audience to know where to focus. And, if they are trying to figure out an image, they aren’t listening to you! Also, you have the curse of knowledge. You’ve been staring at this data for longer than five seconds. You are assuming your audience will know more than they do! Data is only helpful IF your audience can understand it; otherwise, it’s a reason for them to tune out! What are your tricks for simplifying complex information in presentations? I break charts into one or two slides, and I tell a story with them. Your audience needs to know why this chart matters to them! (I also avoid all the fancy options like 3D and breaking up pie charts! Simplicity for the win!) #CommunicationTips Image credit: visme dot com

Do you want your data to make a difference? Transform your numbers into narratives that drive action—follow these five key steps: 📌 STEP 1: understand the context Before creating any visual, ask: - Who is your audience? - What do they need to know? - How will they use this information? Getting the context right ensures your message resonates. 📊 STEP 2: choose an appropriate graph Different visuals serve different purposes: - Want to compare values? Try a bar chart. - Showing trends? Use a line graph. - Need part-to-whole context? A stacked bar may work. Pick the right tool for the job! 🧹 STEP 3: declutter your graphs & slides More isn’t better. Remove unnecessary elements (gridlines, redundant labels, clutter) to let your data breathe. Less distraction = clearer communication. 🎯 STEP 4: focus attention Not all elements on your graphs and slides are equal. Use: ✔️ Color ✔️ Annotations ✔️ Positioning …to guide your audience’s eyes to what matters most. Help them know where to look and what to see. 📖 STEP 5: tell a story Numbers alone don’t inspire action—stories do. Structure your communication like a narrative: 1️⃣ Set the scene 2️⃣ Introduce the conflict (tension) 3️⃣ Lead to resolution (insight or action) Make it memorable! THAT'S the *storytelling with data* process! ✨ Following these five steps will help you create clear, compelling data stories. What's your favorite tip or strategy for great graphs and powerful presentations? Let us know in the comments!

Useful data science post Friday. I know you want to use cool visualizations. Whether you build dashboards, perform exploratory data analysis, or present evidence-based recommendations to the C-Suite via Powerpoint, the temptation to use complex visualizations is strong. This is simply because you work with data a lot, and your brain has acclimated to seeing data in 3-dimensional ways that can be difficult to visualize with bar graphs, line charts, and yes, even the much-maligned pie charts. Resist this temptation at all costs! Sankey diagrams, box plots, violin plots, radial charts, network graphs, tree maps, parallel coordinate plots and the like are impossible for most people to understand. Even dual-Axis line charts, waterfall charts, histograms, normalized (100%) stacked area charts and scatterplots should be used sparingly, as most end users will require a training and repeat exposure to understand them effectively. So, what should you use? What they already know and what's super intuitive. Single-axis line charts, vertical and horizontal bar graphs, and pie charts. Line charts should have a single axis and no more than five-to-seven lines, the fewer the better. Anything more than seven and most people will run into working memory issues. Less than five works for the majority of people. Bar graphs should not be stacked, but they should be grouped together. Use vertical bars for time series, and horizontal bars for comparing categories. When using horizontal bars, order them intuitively from greatest-to-least or vice versa. Pie charts should likewise have a limited amount of categories. Aim for a maximum of 5-6 with anything over that being labeled as "other." Because they are hard to read, ensure you have hover-over functionality that shows users the exact number on the pie chart (both absolute and as a percentage). That will help avoid misinterpretations. So, it's not sexy advice, but it's the best advice for delivering usable content to end users. Enjoy your day! #datascience #datavisualization #powerbi #tableau #qlik

Imagine you've performed an in-depth analysis and uncovered an incredible insight. You’re now excited to share your findings with an influential group of stakeholders. You’ve been meticulous, eliminating biases, double-checking your logic, and ensuring your conclusions are sound. But even with all this diligence, there’s one common pitfall that could diminish the impact of your insights: information overload. In our excitement, we sometimes flood stakeholders with excessive details, dense reports, cluttered dashboards, and long presentations filled with too much information. The result is confusion, disengagement, and inaction. Insights are not our children, we don’t have to love them equally. To truly drive action, we must isolate and emphasize the insights that matter most—those that directly address the problem statement and have the highest impact. Here’s how to present insights effectively to ensure clarity, engagement, and action: ✅ Start with the Problem – Frame your insights around the problem statement. If stakeholders don’t see the relevance, they won’t care about the data. ✅ Prioritize Key Insights – Not all insights are created equal. Share only the most impactful findings that directly influence decision-making. ✅ Tell a Story, Not Just Show Data– Structure your presentation as a narrative: What was the challenge? What did the data reveal? What should be done next? A well-crafted story is more memorable than a raw data dump. ✅ Use Clean, Intuitive Visuals – Data-heavy slides and cluttered dashboards overwhelm stakeholders. Use simple, insightful charts that highlight key takeaways at a glance. ✅ Make Your Recommendations Clear– Insights without action are meaningless. End with specific, actionable recommendations to guide decision-making. ✅ Encourage Dialogue, Not Just Presentation – Effective communication is a two-way street. Invite questions and discussions to ensure buy-in from stakeholders. ✅ Less is More– Sometimes, one well-presented insight can be more powerful than ten slides of analysis. Keep it concise, impactful, and decision-focused. Before presenting, ask yourself: Am I providing clarity or creating confusion? The best insights don’t just inform—they inspire action. What strategies do you use to make your insights more actionable? Let’s discuss! P.S: I've shared a dashboard I reviewed recently, and thought it was overloaded and not actionably created