Recent updates in Google Data Studio brings more accurate chart data labels.
Light hearted visual about normal distribution.
Data visualizations are prevalent in our daily lives. Though useful, they can also be misleading and at times purposely deceitful. Here are three questions to ask yourself the next time you see one.
Try your hand at solving a crossword puzzle that is all about data visualization.
In this article they are exploring the accessibility problems of data visualizations, and how to start solving them.
There isn’t necessarily a “correct” way to style your axis lines or gridlines in our data visualizations.
A quick and practical guide to tools which helps you “see” the network visualization using a couple different tools in Python.
From Stephanie Evergreen: Proportion plots help us compare the share of a population between two metrics. It uses length on the left and right side of the chart and connects the lengths by a band in the middle that swoops a lot if there is disproportionality and stays pretty even if the proportions are the same.
One simple mantra that helps create data visualizations that matter to others. Visualization is important but hard to execute well, and until people see it consistently produce benefits, they won’t buy in.
From the NYTimes: A tour of the major trends, from Covid-19 spread to political polarization, that affected Americans this year.
MicroStrategy World.Now 2021 Free online conference Feb 3-4, 2021, will bring together thousands of influencers, top industry talent, and business and technology leaders from organizations from around the globe to focus on the future of data and analytics. There’s no better place to engage face-to-face with decision-makers, generate buzz around your brand, and experience technology breakthroughs.
Designing information visualizations offers you endless possibilities when it comes to end products and it would be impossible to provide step-by-step instructions for all these possibilities. However, it is fair to say that while the end products may vary dramatically – the process by which we reach the best possible end product is consistently the same.
Qualitative data (sometimes referred to as unstructured data) is virtually any information that can be captured that is not numerical in nature. This data needs to be visualized differently so audiences don’t perceive it to be quantitative data.
Highlighting your accomplishments with infographics and data visualizations can help you stand out in job applications, even in industries in less creative fields.
Watch online as Jeffrey Shaffer, Steve Wexler, Amanda Makulec, and Andy Cotgreave debate the good, the bad, and the “screaming cats” of data visualization, and stay for the after party!
