more resources

While certainly not an exhaustive list, here are some resources of which I'm aware (note that inclusion here is not necessarily an endorsement). I will continue to add to this over time.

articles & online books
tools

    training

    videos
    An incomplete, but ever-growing list of Google tools and resources related to data visualization.

    Books nGram Viewer  A tool for visualizing how phrases in books have waxed and waned over the years. The underlying dataset is a subset of Google's 15 million digitized books (500 billion words from 5.2 million books in Chinese, English, French, German, Russian, and Spanish), with phrases up to 5 words and a count of how many times the phrase appears each year in history. See related blog post.

    Google API Visualization Gadget Gallery  The Google Visualization API lets you access multiple sources of structured data that you can display, choosing from a large selection of visualizations. Google Visualization API enables you to expose your own data, stored on any data-store that is connected to the web, as a Visualization compliant datasource. Thus you can create reports and dashboards as well as analyze and display your data through the wealth of available visualization applications. The Google Visualization API also provides a platform that can be used to create, share and reuse visualizations written by the developer community at large.

    Google Fusion Tables  Look at public data or import your own from spreadsheets or CSV files. See the data on a map or as a chart immediately. Use filter and aggregate tools for more selective visualizations.

    Google Public Data Explorer  The Google Public Data Explorer makes large datasets easy to explore, visualize and communicate. As the charts and maps animate over time, the changes in the world become easier to understand. You don't have to be a data expert to navigate between different views, make your own comparisons, and share your findings.

    Google Refine  Google Refine is a power tool for working with messy data sets, including cleaning up inconsistencies, transforming them from one format into another, and extending them with new data from external web services or other databases. Version 2.0 introduces a new extensions architecture, a reconciliation framework for linking records to other databases (like Freebase), and a ton of new transformation commands and expressions.