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.
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.
In this article, you will learn how to use Google's Data Studio and BigQuery to create your own dashboards, using an example created to visualize 2016 Election Cycle Donations, exploring public FEC data curated by OpenSecrets.org.
This article shows you just how simple it is to connect Google Data Studio to Google Analytics and from there, indicates how to really make the most of Data Studio's fantastic data visualization and reporting features.
This article is a step-by-step guide on how to visualze Google Analytics data using the R programming language, a powerful statistical language. It provides both the the code necessary to do so and the explanations on how to make it work.