MatrixAdapt | Logiciel de gestion d'Entreprise, Création et référencement des sites web

Seo Master present to you: Over the past few months we've received a lot of great feedback from our developers about what they wanted to see in the Google Analytics API. Today we're excited to announce new powerful and flexible features to the Google Analytics Data Export API including:

Support for Advanced Segments

With advanced segmentation, you can look beyond the totals and into the nuances of the data for your site. For example, the average time on site for all visits could be 60 seconds, but when you segment by country, you might learn that average time on site of visits from Poland is over 2 minutes.

So we've added two new ways to use advanced segments through the API:

1. Create them on the fly by specifying their expression directly through an API query.
2. Use advanced segments created in the Google Analytics web interface through the API.

This video describes exactly what advanced segments do and how you can use them with the API.



Goal 5-20 and Configuration Data

With the recent Google Analytics v4 launch enabling up to 20 goals, many of you asked for access to this valuable data, and we listened. Now there are 48 new metrics to access goal performance. We've also added all the goal configuration data, including name, type, step names for each profile.

Here's a great video describing the depth of the goal configuration data.



Custom Variables

Custom variables are powerful new ways to describe visitors, visits and pages within Google Analytics. In this new release, we've added 10 new dimensions to access custom variable data. In addition, every custom variable that you've used is now available through the Account Feed.

All the details of this release can be found on our public changelog and public notify group. We've updated all our documentatation at http://code.google.com/apis/analytics. Please continue to give us feedback to improve our product through our public google group.

Thanks!

By Nick Mihailovski on behalf of the Google Analytics API Team2013, By: Seo Master

Seo Master present to you: Today I'm excited to announce that Google Fusion Tables is releasing its own API.

What is Fusion Tables? A product launched recently in Google Labs, Fusion Tables is a free service for sharing and visualizing data online. It allows you to upload data, share and mark up your data with collaborators, merge data from multiple tables, and create visualizations like charts and maps.

Do you have data you need to share with other organizations? In Fusion Tables, you can share all or part of a table with other people. Does your data mean more when seen together with other datasets you don't own? By merging your data with other people's shared tables, you can see the whole picture in one place, discuss the data in embedded comments, and mark up the data with your collaborators. Fusion Tables keeps track of who contributed each part of the data and who has permission to edit.

Watch Circle of Blue's video description of how they use Fusion Tables to combine and visualize water data.



Often the real meaning and potential impact of a database can be hidden behind all the raw names and numbers, but a well-chosen visualization can bring the data to life. Fusion Tables has automatic data visualization built in: we've integrated with the Google Maps API and the Google Visualization API so you can view your data in maps, motion charts, and graphs. All of these can be embedded in your webpage, your Google Site, your blog...any Web page you want! The visualizations even update automatically as data is updated or corrected. Embed the visualization once, and the latest version will always be shown automatically.

Let other people help spot outliers and unexpected values in your dataset by linking them directly to data that is filtered, aggregated, and visualized for various angles of examination. Fusion Tables' data discussion features help you gather feedback from your community.

Is your dataset active, always changing? Is it being collected right now on cell phones or websites? With the new Fusion Tables API, you can update and query your dataset in Fusion Tables programmatically, without ever logging in to the Fusion Tables website. The API means you can import data from whatever data source you may have, whether a text file or a full-powered data base. On the more exotic side, imagine you're collecting data via survey software on GPS-enabled cell phones, as the Open Data Kit project is doing. Open Data Kit uses Google App Engine and the Fusion Tables API to instantly map locations of survey results.

Are you a data exhibitionist? Put your data in Fusion Tables and make it available for the world to see! Fusion Tables will maintain your attribution as your data participates in other tables, enforce your choices about sharing and exporting the data, and invite Google Web Search to index the table.

Fusion Tables allows datasets to play together in a safe, collaborative, and privacy-controlled environment. We can't wait to hear about the amazing things you will make happen with Fusion Tables.

By Anno Langen, Jayant Madhavan and Rebecca Shapley, Google Fusion Tables Team2013, By: Seo Master

Seo Master present to you: Today, we're excited to announce the release of the Google Translator Toolkit Data API. Translator Toolkit is a powerful but easy-to-use editor that enables translators to bring a human touch to machine translation through translation search, bilingual dictionaries, and custom terminology databases. Using Translator Toolkit, you can translate HTML, Word, AdWords, Wikipedia, and other documents in a WYSIWYG ("what-you-see-is-what-you-get") editor, share them with other users, and download their translations onto your desktop.

Through our new API, you can upload, share, download, and delete your documents, glossaries, and translation memories using the Google Data Protocol. That means that integrating human translation into your translators' workflow just got easier! Here are a few things you can do with the Translator Toolkit API:

• Automatically connect your content management system (CMS) with Translator Toolkit. You can transform your content into HTML files, protect sections of HTML from translation through the class="notranslate" attribute, upload the HTML files, share the files with your translators, download the translated HTML, and then transform and upload the documents back into your CMS.


• Automatically connect your file system with Translator Toolkit. You can create a cron job that uploads files into Translator Toolkit, shares the files with your translators, then downloads completed files back to the file system.

For now, the API is available in labs as we rapidly add features based on your feedback. Check out our documentation, where you'll find our Java client library and a developer guide to get you started. Please visit our new developer forum if you have questions.

By Mayank Gupta and Paneendra Ba, Google Translator Toolkit Team2013, By: Seo Master

Seo Master present to you: It's Friday, time for some fun!

Here is a captivating way to visualize your Google Analytics data in a Treemap visualization and you can visualize your own data with our live demo.
(note: IE currently not supported for visualization part)





The goal of this example was to teach people how to use the Google Analytics API on App Engine in Java. As well as demonstrating how to use both OAuth and AuthSub along with the App Engine's various services. The code looked great, but the output was a boring HTML table. So I used some open source tools to transform the table into a pretty tree map visualization!

All the code has been open sourced on Google Project hosting. I also wrote an article describing how this application works making it easy for developers to use this example as a starting point for new data visualizations and other Google Data projects.

For the data retrieval part, this example uses the App Engine Java SDK and the Google Analytics Data Export API Java Client Library to retrieve data from Google Analytics. The example code implements both unsigned AuthSub and registered OAuth authorization methods allowing developers to get up and running quickly in development environments and later switch to a secure authorization method in production environments. The application also uses the Model-View-Controller pattern, making it flexible and allowing developers to extend the code for new applications. (like adding support for other Google Data APIs)

For the visualization part, I used the open-sourced Protovis SVG Visualization Library to create the Treemap. This JavaScript library is maintained by the Stanford Visualization Group and excels at creating brand new visualizations from a data set (in this case a boring HTML table). To handle all of the interactions, including rollover, tooltips and slider controls, I used JQuery. Here is the JavaScript source to the visualization part of the sample.

Enjoy!

By Nick Mihailovski, The Google Analytics API Team

P.S. If you have created any cool new visualizations using the Google Analytics Data Export API, email us so we can highlight them as well.2013, By: Seo Master