How To Present Data Effectively Every Single Time! Smacking some numbers onto a pie chart is old news and simply doesn’t work anymore. Keeping your audience inspired and on the edge of their seats through an engaging data story is what we as business professionals should be striving to do.
How To Win With Your Data Visualizations uncovers the fundamentals of what makes a winning data presentation and has laid them out in 5 easy to understand parts you can immediately apply to your next chart and presentation to see a winning data story unfold. In this book, you will
The most important part when presenting dataHow to select the proper chart to represent the data effectivelyChart design secrets to keep your audience engaged and their attention exactly where you want itDecide what information your audience actually needsThe proven most effective way to explain a chartWalkthrough of the presentation process And much more...
As a free bonus, you'll get my "Data Visualization Checklist" so you can make sure every visual you create is appropriately executed and set up for success.
Interpreting data effectively is the most important skill for anyone who works with data to drive business decisions. You are 5 parts away from creating better data visualizations, captivating your audience with an effective presentation, enhancing your data analytic skills, and being the driving force for better business decisions.
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You have been tasked with giving a big presentation at work. How do you keep your audience from yawning, and reaching for their cellphones, in the first five minutes?
First and foremost, what is the goal of your presentation? Is it to get a potential client to buy your product? Is it to present last year's numbers in your department to higher-ups? After that, know your audience. Are they "numbers" people (the more numbers, the better)? Are they "concept" people, who hate numbers?
It's tempting to want to want to do a separate chart for each number, or put the entire department in one giant chart. It's also tempting to want to get creative with the font and amount of color in each chart. Don't Do It - Keep It Simple.
Highlight one number, or one concept, per chart. What will best illuminate your concept, a pie chart, a bar chart or a line chart? Use no more than a couple of colors per chart. Make sure that all the labels are clearly readable from the back of the room. The X and Y axes both need to start at zero (it may seem like a small thing, but it matters). Do not use 3D graphics unless absolutely necessary. People, especially business people, are known for having a very short attention span. Make it as easy as possible for them to, almost instantly, understand each chart.
When making your presentation, tell a story. No, you should try to turn a good (or bad) year in sales, for instance, into a fairytale. If you are standing at a lectern, Don't keep your eyes down, reading your presentation. Also, don't focus on the screen, keeping your back to your audience. Occasionally, look at your audience. See if their body language is saying "I'm interested. Tell me more," or "Lemme outta here!"
This is a very complete, and easy to read book. It's easy to do a bad presentation at work. This book will help anyone to do a good, maybe even memorable, presentation. Maybe it will lead to being Noticed by senior management.
How to Win with Your Data Visualizations is an informative and easy-to-read book. The author provides all the basics of using data visualization. The input all looks pretty reasonable and easy to do. The author offers external resources for the reader to use. The author's main point is to familiarize the reader with creating and using data stories. I think she has a good idea.
Good read lacking visuals for a visualization book
The author does a really nice job developing questions to think truth for that audience, makes you get in their shoes. If falls short of actually recommending using this chart for this data set or type of message needed.
This book had some good information and was a great reminder to begin with the end in mind and to prepare a compelling narrative when presenting data. Ironically, the book at times felt a bit disorganized in the order it presented information. The last chapter, while again providing some helpful insights, seemed like it was never proof read and was riddled with typos and formatting errors.