Great Graphs: Design Principles
Our Flagship Data Visualization Workshop
Are your takeaway findings getting lost?
Bad graphs can slow down the viewer's comprehension... increase cognitive load... and fail to inform decision-making processes.
Dusty Shelf Reports aren't inevitable.
With intentional editing, we can design visualizations that inform and inspire.
No fancy software needed. All the course examples are made with everyday software, like Excel.
I'm going to transform you into the dataviz hero that your organization needs. Here's what's included to make that happen.
- 100+ video lessons that you can watch anytime (the equivalent of our multi-day Great Graphs workshop that we've delivered in 30+ states and 10+ countries)
- Step-by-step process for transforming spreadsheets into data stories
- 20+ handouts and templates to download and keep
- Office Hours sessions (almost) every week to review your draft vizzes
- 6 additional Live Trainings just for participants in this cohort
- Great Graphs ebook with our checklists and case studies
- Private Data Vizards community of fellow participants
- Weekly messages to cheer you on
- Lifetime access so you don't feel rushed
- Examples from a variety of industries (public health, juvenile justice, museums, and more)
- Early bird bonuses like 1:1 consultations and Swag Bags
100+ Video Lessons to Watch Anytime
You'll get lifetime access to 100+ video lessons--the equivalent of a multi-day training. You can watch these lessons anytime around your own schedule.
Module 1: Understand Our Audiences
- 10 lessons; 1 hr 40 min
- You’ll learn what types of questions to ask during the planning phase of your project, like whether your viewers are technical or non-technical, what types of comparison data points could be provided, and whether your audiences are expecting a story.
- You’ll think about which format–a report, dashboard, infographic, one-pager, etc.–is best for each type of audience that you’re trying to reach.
- You'll complete our Understand Our Audiences spreadsheet and get a copy of our Communications Plan.
Module 2: Choose the Right Chart
- 29 lessons; 3 hr 57 min
- You'll learn 4 exploratory dataviz techniques; 7 guidelines for using pies and donuts; 5 places to find icons; and makeover your own pie charts.
- Then, we'll discuss 6 considerations for better bar charts: orientation, scaling, shading, collapsing, diverging, and small multiples charts. Then, learn alternatives like area graphs, square area graphs, and tree maps. Finally, learn how to use storyboarding during live presentations so that your dense bar charts are easier to follow.
- Transform tables into visuals; avoid a (boring) report that’s just full of bar charts; and experiment with new-ish chart types like tile grid maps and Sankey diagrams.
- You've probably heard that word clouds are outdated, but are you familiar with all the other options yet? You'll complete 12 lessons on visualizing qualitative data.
- By popular demand! We've got 6 examples specific to surveys. You'll learn how to visualize yes/no questions, check-all-that-apply questions, rating scales, open-ended comments, demographic data on survey respondents, and pretest-posttest results. You can download the PowerPoint slides and Excel files that accompany these examples.
Module 3: Select a Software Program
- 12 lessons; 21 min
- You'll see examples of reports, dashboards, infographics, and dashboards made in everyday software.
- Then, I’ll provide an overview of my favorite software programs so you can understand the strengths and weaknesses of the major players in the market: Excel, Tableau, PowerBI, R, & Canva.
Module 4: Declutter
- 14 lessons; 1 hr 6 min
- Decluttering is addition through subtraction. I’ll give you permission to delete a lot of unnecessary ink! You’ll also learn about the finer points of decluttering that I never have time to cover during workshops, like decluttering visuals for scientific journals.
Module 5: Color
- 22 lessons; 1 hr 42 min
- You’ll get a behind-the-scenes peek into designer jargon like RGB, HEX, PMS, and CMYK codes. You’ll learn how to read your existing style guide.
- I’ll also cover techniques that I never have time to cover during workshops, like how to choose color palettes from scratch for your reports, slideshows, and dashboards if you don’t have a style guide.
- You’ll also learn about 508 compliance, like how to test your visuals for sufficient foreground/background contrast, colorblindness legibility, and grayscale legibility using accessibility checkers.
- Finally, you'll learn how to apply colors to make our vizzes intuitive, not just decorated. You'll get comfortable with lingo like binary, nominal, ordinal, and diverging color palettes.
Module 6: Text
- 14 lessons; 35 min
- You’ll learn the basics like writing titles, subtitles, and annotations that encapsulate your key finding.
- You’ll also learn advanced nuances, like when to use right, left, centered, or justified text; when to use title case, sentence case, or all caps; and how to strategically place text beside graphs (rather than making viewers search through long paragraphs to find your key phrases).
- We’ll also measure your draft’s reading grade level and practice translating the research methods terminology we learned in grad school for the non-researchers who are using our data.
Before/After Data Visualization Makeovers
- 6 lessons; 52 min
- We’ll apply the skills you’ve learned in previous segments. You’ll see “before” graphs that are similar to graphs I’ve encountered while consulting to foundations, nonprofits, universities, and government agencies over the past decade. Then, you’ll see how I choose different chart types, declutter, and apply color and text strategically to complete overhaul each graph.
- Elissa Schloesser on Partnering with a Graphic Designer (22 min): Will you DIY? Or partner with a graphic designer? Elissa Schloesser teaches you how to hold more productive meetings with graphic designers to get the end result you want.
- Amanda Makulec on Collecting, Analyzing, and Visualizing COVID-19 Data Responsibly (15 min): Amanda Makulec teaches you about collecting, analyzing, and visualizing COVID-19 data responsibly.
You'll learn alongside colleagues during our live sessions. These live trainings will be spaced out between June and December 2021. And yes, they'll be recorded in case you can't make it live.
- Live Training 1: Orientation & Breakout Rooms with Colleagues
- Live Training 2: Designing Accessible Dataviz: 10 Quick Wins
- Live Training 3: Dr. Jonathan Schwabish
- Live Training 4: Designing Data Placemats
- Live Training 5: Dr. Ann Webb Price
- Live Training 6: Graduation Party
Designing Data Placemats
Want to make sure that your data is used to inform decisions? Get your stakeholders involved in the sense-making process! Are you familiar with data placemats? First, create data placemats. Second, hold an interpretation meeting. Third, add those insights to the final report or slideshow. In this live training, you'll see data placemat examples from surveys, a workforce development program, and nonprofits. You'll also learn to create placemats inside everyday software like PowerPoint.
Designing Accessible Dataviz: 10 Quick Wins
Accessibility doesn’t need to take all day. And accessibility shouldn’t just be a box-checking exercise to satisfy paperwork requirements. In this live training, you’ll learn 10 quick wins for designing accessible data visualizations. These small edits can have a big impact for our coworkers, board members, and funders who have color vision deficiencies, hearing loss, or learning disabilities–and for all of us who are pressed for time. After we cover these 10 quick wins, we’ll practice revamping a graph together. You’re welcome to submit your graphs or dashboards ahead of time for inclusion in the session!
Office Hours (Almost) Every Week
Want me to review your drafts? Stuck trying to apply the lessons to your real-world dataset? Submit your questions to Office Hours we'll chat over Zoom on Wednesdays from 12 - 12:30 pm Eastern.
You'll get access to all the Q&As in 2021: the live Q&As scheduled between June and December 2021, and all the recorded Q&As that took place between January and May 2021.
Great Graphs Ebook
You'll get a license for our 200-page ebook, which includes all of our checklists and cheat sheets. We used to sell our ebooks separately for $40, but now they're exclusively available to participants in our Full Courses.
Private Data Vizards Community
You'll be invited to join our private community, which is only open to people taking Full Courses with us. This is a great place to connect with colleagues, post drafts, get feedback from each other, and watch the streamed Office Hours Q&As.
Monday Messages to Cheer You On
I know you're going to skip straight to the juicy magic tricks, but I'm going to email you on Mondays around 11 am EST and pretend like we're working through the course one module at a time
What Students Are Saying
4,800+ participants from around the globe have taken our online courses since 2018.
Here's how those researchers, evaluators, scientists, and professors are describing this course.
"This was just what I needed to move from thinking about to actualizing more digestible visualizations.
The many, many examples--and explanations for how to do more complex transformations--are soooo helpful!
Having so many examples from scientific, education, non-profit and other fields helped me convince my very smart, detailed-oriented colleagues that more appealing, simpler, less jargon-y, and more understandable visualizations are feasible for presenting statistically and technically dense information, and for academic types of audiences.
Now we are trying things like short headline titles and chart styling methods to more clearly depict all the 'data details'—and the findings!—rather than impossibly long, uninformative titles and chart notes… Ann has perfected telling the facts directly with style."
- Peace Bransberger, Research Analyst, Western Interstate
Commission for Higher Education
"I would often see charts, graphs, and other data visuals in journal articles, and think to myself, ‘Wow, this is horrible; I have no idea what I am supposed to learn from this!” But I had no idea how to make it better or offer constructive suggestions. After just the first few weeks of Great Graphs, I learned about how to select the best type of graph and how to make it visually appealing to the intended audience. My own publications and posters have also benefitted—no more hard-to-read charts filled with clutter! The videos were easy to follow along and the detailed tutorials with Excel hacks saved me a ton of time. Thank you Ann and I cannot wait to take your next course!
- John R. Heberger, Epidemiologist, Centers for Disease Control and Prevention
"This time last year I was struggling to decide (i) whether to spend money on a course to help me improve my data visualization skills and (ii) which one. Ann's Great Graphs course exceeded my expectations and helped me improve my Excel skills as well. The extra material in the Q&As was a super how-to put the tools into practical use and provided the opportunity to ask questions. Having access to the Q&A recordings allowed me to go back and catch a few nifty Excel tricks that I hadn't noticed during the Q&As, saving me tonnes of time and frustration. Ann is fast and efficient! The course is well worth the time and money. Be prepared with your ideas and set aside time to follow along. You will be amazed at how much you can learn. Thank you Ann!"
- Judi Ekkert, Environmental Health Officer, Interior Health
"I’d been following Ann’s blog for quite some time, but I was eager to get access to additional data viz lessons, so I signed up for the Great Graphs course. Ann’s course played a big role in the improvement of my data visualizations, and most of all made it way more fun. My goal is now to help some of my colleagues improve their data visualizations too, so that our organization can better act on all the data that we’re collecting and achieve more impact.
Some things that I learnt during the course:
Ann reminded me how many different types of stories you can tell with the same data set. This made me aware of the importance of first analyzing your audience and your data, and really think about the message that you want to convey, before starting with the actual visualization of the data. Ann also demonstrated that it can easily take you a few tries before finding the right visualization.
Ann gives you clear steps to follow in your data visualization, which I hope will soon become a routine for me. The many examples that she gives made me realize just how much stronger your message can get if you use the techniques like storytelling, annotations, color, decluttering.
- Sophie van der Wansem, Digital Product Developer, PharmAccess Foundation
"This course was invaluable to helping me up my game significantly regarding how I analyze, visualize, report, and present data findings. After completing most of the course modules, I had the opportunity to visualize data and compile a report based on a large and relatively complex survey. My time-sensitive task was to distill and present the potentially overwhelming volume of data in a way that my client could use to inform upcoming professional development sessions and revisions to the program. Before analyzing the data, I reviewed key modules I knew I would need and approached dataviz and report-writing in a whole new way. Working in PowerPoint, I used a custom color for each section, full-page photos for section dividers, and carefully worded titles on each page. My client loved the report, saying that not only was the information easy to understand, but the logical layout, graphics, and color-coding helped them navigate and comprehend the data more easily than in prior reports written by me or other researchers. When we met as a group to discuss how to best utilize the findings, the report was easily viewable and navigable on the large LED screen, which allowed us to work efficiently and target our discussion to the key issues called out in the report. The combination of well-constructed graphs with self-explanatory headings, liberal use of white space, custom color coding, and user-friendly report-writing techniques made me a hero to my client who hates nothing more than slogging through long reports with too much text and incomprehensive data tables.
- Dr. Martha Brown, Founder & President, RJAE Consulting
"Having attended Ann’s keynote address at the 2017 Southeastern Library Assessment conference, I learned a few quick tricks to transform a stock Excel graph to something better. Once I moved into an assessment role full-time, I knew I would be writing more reports and wanted to up my game with Excel graphs and charts so I knew just where to go for help. Ann’s course in Great Graphs offered that and so much more. When I had to write a summary of a laptop loan program survey, I transformed the plain, ordinary graphs to uncluttered, with clearly understandable graphs of the survey results. Ann takes you beyond the basic Excel charts and graphs to learn how to make super cool waffle charts and icon arrays and adding spark lines and bars to a spreadsheet for quick visual analysis. Two of my favorite tips were learning how to create new theme colors to input the color brand from my organization and using bold colors to highlight your point with the remaining graph in gray or lighter tones. I found this course to be very practical with beneficial tips to use immediately in my work and would recommend it to anyone desiring to up their game with charts and graphs for data visualization."
- Lee Ann Lannom, Assessment Librarian, Jean & Alexander Heard Libraries, Vanderbilt University
"The Great Graphs tutorials are exactly what I was looking for in learning data design techniques in Excel, especially using examples that makes sense in a nonprofit and philanthropic setting. I like the short snippet format where I can quickly learn about a technique and then instantly apply it. For instance, I was working on multiple data tables showing the number of services delivered and number of clients accessing housing services by quarter across multiple homeless services programs. Program leadership wanted a quick scan of the numbers by quarter for the entire fiscal year. They were used to looking at numbers this way. I decided to add sparklines to the data tables so that program leadership can also quickly visualize the trend over time... A data analyst I was working with on this project was amazed that this could be done in Excel. He was used to doing all his analysis in python or R, and wasn't too familiar with data design techniques in Excel. Thank you, Ann, for creating these quick tutorials that anyone can follow, especially those in the nonprofit sector."
- Rocele Estanislao, Project Manager, Data Management, Los Angeles Homeless Services Authority
"I found the Great Graphs course so helpful! The course provides a large amount of content broken down into small, manageable lessons filled with actionable tips and real-world examples. Ann explains things clearly and provides lots of good resources. I’ve already used what I’ve learned in this course to improve data visualizations in my work."
- Hester Wolfe, HIV Minority Health Partnership Grant Coordinator, Division of Public Health, Wisconsin Department of Health Services
"One of the primary reasons for taking Ann’s data visualization course, Great Graphs, was to learn better ways to use Microsoft Excel as a visualization tool.
I am so excited to share how grateful I am to Ann and her colleagues for putting together an online training to share their talents with me.
In return, I am paying it forward by teaching my Advanced Excel students at Central Washington University a tiny portion of how they can use Excel as a data viz tool and application...
I love to learn and one of my professional goals continues becoming a better communicator of information using data visualization tools and techniques. I am going to continue seeking out opportunities with Ann and her team and learn more about data viz every day!"
- Dr. Lori Thompson, Senior Lecturer, College of Education and Professional Studies at Central Washington University
About the Instructor
Ann K. Emery is an internationally-acclaimed speaker who equips organizations to get their data out of dusty spreadsheets and into real-world conversations.
Each year, she delivers over 100 keynotes, workshops, and webinars with the aim of equipping organizations to visualize data more effectively.
She has been invited to speak in 30 states and 10 countries; 4,400 people have enrolled in her online training academy; and she has consulted to 200 organizations, including the United Nations, Centers for Disease Control, and Harvard University.
She earned a Bachelor’s degree from the University of Virginia and a Master’s degree from George Mason University.
After traveling full-time as a digital nomad, Ann now resides in Florida along with her husband and three children.
Mark your calendars! The course will be open the week of June 7 - 11, 2021. When it's open, it's open. When it's closed, it's closed.
First 25 People
We've got special Early Bird Bonuses for the earliest registrants.
The first 25 people to register will receive a Swag Bag with a dataviz shirt, stickers, buttons, and magnets. We don't sell the t-shirts separately; they're exclusively available for our Early Birds.
First 10 People
The first 10 people to register will ALSO receive a 1:1 consultation with me about your vizzes. We'll meet over Zoom for 30 minutes and work through your questions together. The feedback will be recorded and posted as a case study inside the course.