Data Visualization is the cherry on top of the data world, it makes information useful and meaningful. By using best practices when creating bars, lines and pies, you will be able to enlighten people not only in your workplace, but also through external analysis of publicly available datasets.
Whether you are working on a monthly report or a world-changing visualization, if you take the time to uncover and communicate the stories behind the data, you will be contributing to better decisions in your company and in society in general.
As a comic book fan, Daniel Waisberg decided to look at publicly available data to understand which movies in the MARVEL and DC cinematic universes succeeded from a monetary perspectives. Hold your breath!
In this article Daniel Waisberg discusses some thoughts on the US opioid crisis and how it compares to the worldwide drug adoption and overdose rates. He presents a Data Studio visualization with trends and patterns related to drug usage and adoption
In this article Daniel Waisberg provides more context into GoalKeepers 2017 using publicly available UNICEF data on maternal mortality. He discusses important points from the GoalKeepers 2017 report - then, he discusses some of the steps he used to create his report and the insights he learned from the data.
In this article, Daniel Waisberg and Lizzie Silvey present the results of an in-depth analysis of UK's marriage and divorce trends. They answer the following questions: Who wants a divorce and why? How do wars and the law impact marriage and divorce rates in the UK?
In this article you will learn several techniques that will help you create more effective charts to communicate the underlying data. By applying deliberate thought, a handful of best practices, and allocating sufficient time in projects for the data visualization step, you can boost the impact of your charts.