RT @ScottKimly: It's been a min, but I have published my latest interview for she will viz! This time, I chat with R extraordinaire, @datav…

RT @DataScixDesign: 🗣️ Release day is here! We are so excited to share the work in our second anthology: “Our Environment”. We’ll release…

RT @DataScixDesign: Excited to announce our newest book, Our Environment, will be available for purchase June 7! This anthology has 20 sec…

The first step to creating a data story is to specifically identify who is in your audience, their context around the data, and what you want them to know or do. Learn more: #DataViz #DataVizTip #DataStorytelling

3 Questions for Selecting a Graph 1. What type of data do you have? 2. How data literate is your audience? 3. What task do you want your audience to do? For more guidance on creating the right graph, check out my FREE Data Viz Design Process training:

"I make art in part to communicate." Loren Madsen This quote comes from the book Making with Data by Samuel Huron, Till Nagel, Lora Oehlberg, and Wesley Willett. How does creating data viz or data art help you communicate? #DataViz #DataVisualization #DataArt

Reminder: Every time you make a mistake you learn something new. It can be frustrating when your data viz falls flat, but remember that as you figure it out, you're learning new things! ⁣ If you want help, my online course can reduce that frustration:

Based on data viz research, we know position (think bar graphs) allows for more accurate estimates and comparison while area (think tree maps) results in less accurate estimates and comparisons. Learn more in my latest blog post: #DataViz #DataVizTip

Here are my 5 tips for impactful data viz: 1. Use a headline title 2. Minimize non-data elements 3. Highlight key information 4. Accessible colors 5. Order meaningfully Want my full guide for creating impactful #DataViz? Get it here for free:

@StyleSTEAMed Congratulations!!!!!

When you make a heatmap in R, the default fill scale puts a dark color on the lowest value and a light color on the highest value. This goes against a meaning we perceive in color: darker means larger and lighter mean smaller. Fix it with scale_fill_gradient(). #RStats

This quote comes from the book Making with Data by Samuel Huron, Till Nagel, Lora Oehlberg, and Wesley Willett. How can we use data viz to help individuals and ordinary citizens? #DataViz #DataVisualization #DataForGood

Knowing design principles for data viz makes creating charts and graphs easier. Learn more: #DataViz #DataVizTip

Here are my 5 tips for better #DataViz: 1. Use a design process 2. Consider your audience 3. Define the question 4. Experiment with different graphs 5. Test and refine Want more? Check out the FREE training and workbook on my Data Viz Design Process:

Reminder: Anyone can learn to code! If you want to learn to code, you totally can! I love teaching people how to create awesome custom graphs in R. Follow @datavizjenn to grow your data viz, analysis, and R skills so you can effectively communicate data and save time!

This quote comes from the book Making with Data by Samuel Huron, Till Nagel, Lora Oehlberg, and Wesley Willett. How do you gain insight when create data visualizations? #DataViz #DataVisualization

What do you want to learn more about from me? Reply and let me know - what would you like to hear or see more of?

Data Viz Tip: Don't use the title to describe what the graph shows, use it to explain the key message or headline. Read the full blog post: #DataViz #DataVizTip

I made this graph back in 2021 for #TidyTuesday. A large part of my journey learning #RStats is practice. I practice on datasets that are interesting to me - personal datasets of my own data and challenges like Tidy Tuesday. How do you practice and grow your #DataViz skills?

Here are my 5 Tips for Learning R 1. Make Mistakes 2. Experiment and Try New Things 3. Find a Community 4. Take Your Time 5. Practice on a Topic You Care About Learn more on the Schilling Data Studio blog: #RStats