It's easier for developers to program in the languages they know, so we updated the Google Analytics API Python Client library API version 2Account Feed and Data Feed . Now it's easier than ever to automate your analysis workflow using our API .Taking The Library For a Spin sample application to do just that. The application uses the new Python library to retrieve metrics for a series of segments. It then performs some calculations on the data and creates bar charts using the GChartWrapper Google Charts API . Finally, it uses the Python Imaging Library to add a title and legend, and stitches all the charts together into a single image. We decided to release this application as open source so you can create visualizations with your own data.Solving Business Problems Avinash Kaushik engagement " on his popular Occam's Razor blog . We also wanted to determine if the time he spends participating in social media sites is valuable and sends new readers to his blog.Facebook and Twitter. Second, we chose five calculations and corresponding metrics to compare the performance of these two segments. We then compared the segments to each other and, for context, for all the visits to the site as a control.Let's Analyze Far more visits originate from Twitter (3.6x) when compared to Facebook , perhaps not surprising given Avinash's Twitter followers Visitors from Twitter tend to be new visitors, a good thing, but they view fewer pages and spend significantly less time on the blog. On the other hand Facebook delivers an audience that is loyal. These visitors come back to the site more often and spend a significant time on the blog (compared to Twitter and all other visitors). Avinash's blog. If this blog were a company, it would be wise to ensure the time and effort put into driving traffic from social media is proportionate to the actual volume of traffic and goal conversions from those sites.Download it here and give it a whirl, we would love to hear your feedback.Posted by Nick Mihailovski , The Google Analytics API Team
