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 the presentation below shown in the article Daniel Waisberg summarize the process of going from data to insights with a six step framework he has been using for the last year.
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.
In this article I provide a quick step-by-step guide to use Fusion Tables to visualize Google Analytics data: how to bring the data, prepare it and visualize it using great charts.
In this article you will learn how to use Google Analytics Dashboards, they are a great way to keep track of your website. It can save a lot of time on your (and your colleagues) day-to-day so it is certainly worth to invest some time to have the right data in there.
Web analytics data is worth nothing if it can’t be used in the correct way. In order for it to be used, it has to be understood. So how do you make data easy to understand? With visualisation of course! But visualising data isn’t as easy as you might think. You have to get it right for both the user and the data.