Last year, we decided to master a new genre of articles: data-backed posts. We knew about their potential, and how viral they can become, from looking at examples on the Internet. For example, this brilliant data-based article by Scott Brinker got more than 6,000 shares over several years. So we wrote a data-backed article for our client—a company that offers display ad technology and a competitor research tool—and the results were very good. The article became one of the most popular, according to our data from Google Analytics. But as the article was being written we faced several significant difficulties. Fortunately, we were able to overcome them.
So, to round out 2017, we’ve gathered some of the worst graphs of the year. They’re about many different topics from many different sources — nobody is safe. And lest you think we’re just ripping graphs apart for fun, we’re going to walk you through what has gone wrong with each one with the hopes that nobody will make these mistakes again.
People often ask why they should use any other tool than Google Analytics? Don’t we have all the data we need there? It’s true, Google Analytics stores a lot of data. But sometimes it doesn’t tell the whole story. In this article we are working with the GA API inside R, Tableau and Google Sheets to find different ways to look at the data!
Data science is the field of applying advanced mathematical and statistical techniques to large sets of data to uncover insights that can improve the performance of different parts of a business. Data science is used in growth to uncover commonalities between types of users that are either successful or unsuccessful with a product. Marketers and growth teams use data science findings to improve the performance of their product, user acquisition funnel, user retention and more. These are the best articles on how to use data science to grow your business. From how to analyze data using R, pandas for Python, regression, model building, SQL and more, you'll learn how to apply data science concepts to growth.
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