This Google Visualization Python library by Google helps to interact with the API features of visualization, charts, and graphics. Contents include how to use the library and example usage. Available information to create instances, describe tables, populate data, and output data. Also accessible ToJson example, ToJS example, and ToJoson response example.
Each of Google's 95 APIs has employees to support it. So, we're used to seeing tutorials from Googlers about this API or that. Last week the search giant did something different. In a series of posts, Silvano Luciani wrote a series of posts showing how the Google Chart API can help make sense of data from the Google AdSense API.
The news of data visualization provider Tableau's IPO on Friday is yet another sign that the movement behind data and analytics continues to gain steam. With that in mind, today we'll take a look at recent mashups that allow users to perform data analytics of some kind and often show the results through interesting visualizations. Read below for more information on each.