Random Notes & Bookmarks

Tagmap | drupal.org: This module is part of a package of modules being developed by Jefferson Institute. These modules are meant to serve as tools for data visualization:

Timelinemap - It allows you to load one or more data sets onto both a map and a timeline simultaneously. Only items in the visible range of the timeline are displayed on the map. Timeline Map displays data represented in the timeline as markers on Google map.
KML content type - Users can attach .kml files to a node (with upload module), which in turn is displayed through the Google Earth API. If a user attaches several .kml files it is possible to choose between them via a drop-down box.
Google Visualization API - It uses Google Visualization API to display different types of charts. Pie, Bar, Column, Gauge, GeoMap, IntensityMap, Area, MotionChart and Scatter plot are supported at the moment.
Importer - Imports data in the database, handles batch upload of .zip files and connection of those files to the appropriate data in the created table.

Daniel · at 9:20 AM

Views Examples | drupal.org

Daniel · at 9:19 AM

John Resig - FireUnit: JavaScript Unit Testing Extension

Daniel · at 9:09 AM

Google Visualization API Data Sources and Tools Gallery - Google Chart Tools / Interactive Charts (aka Visualization API) - Google Code:

Google Server Side Data Source Java Library (Data Source Library) - The Google Data Source Java library makes it easy to implement a data source. Because the library implements the Google Visualization API wire protocol and query language you need write only the code needed to make your data available to the library in the form of a data table. Even this task is made easier by the provision of abstract classes and helper functions. Source code available at http://code.google.com/p/google-visualization-java/
Google visualization python (Data Source Library) - This project is a helper python library for providers who want to implement a data source for visualizations built on the Google Visualization API. Source code available at http://code.google.com/p/google-visualization-python/
Google Web Toolkit (GWT) Visualization Library (Productivity Tool) - A set of GWT libraries that let you use existing visualizations and write new ones in Java. Classes for many Google visualizations have already been written and are included in the GWT library. Visualizations by Google that are already implemented in GWT are marked 'GWT Integrated' in the visualization gallery. Source code available at http://code.google.com/p/gwt-google-apis/downloads/list
Google Spreadsheets (Data Source) - The Google Visualization API provides access to Google Spreadsheet data from within a Gadget. This allows a Gadget to use web-based, collaborative spreadsheets as a data source.
CHARTle.net (Productivity Tool and Visualization Website) - A tool and visualization destination site for easily creating charts through a WYSIWYG interface. Edit chart options through a user-friendly UI and publish them on the CHARTle.net site or elsewhere.
Google Secure Data Connector (Productivity & Security Tool) - Google Secure Data Connector (SDC) enables you to use Google visualization gadgets on secure data behind a firewall. SDC will protect your data when used by a visualization hosted outside your firewall. Source code available at http://code.google.com/securedataconnector/download.html
Annotated-timeline-for-rails (Productivity Tool) - This is a Rails plugin for the Annotated Timeline visualization. Source code available at http://github.com/mcommons/annotatedtimeline-for-rails/tree/master
MC-Google_Visualization (Data Source Library) - This is a PHP server-side library you can use to implement a Visualization API data source for MySQL, SQLite, and PostgreSQL database engines using PDO. Source code available at http://code.google.com/p/mc-goog-visualization/
bortosky-google-visualization (Data Source Library) - This is a helper library to create a Google Visualization API Datatable for .NET users. Source code available at http://code.google.com/p/bortosky-google-visualization/
GV Streamer (Data Source Library) - GV Streamer is a server-side tool that can convert data from different sources into valid query responses to Google Visualizations. GV Streamer supports several languages (for example, PHP, Java, .NET) and several raw data sources (for example, MySql).
AJAX APIs Playground (Productivity Tool) - An interactive web application including sample code for the Visualization API. With this tool developers can quickly create their own versions of visualizations based on sample code, and quickly run and test them online. Source code available at http://code.google.com/p/google-ajax-examples/
GVis - Google Visualization API Simplification Layer (Productivity Tool) - A tool to simplify creation and data input for Google Visualization API charts. Source code available at http://code.google.com/p/gvis/
Visualization Toolbar (Visualization Helper) - A toolbar you can add to any visualization to enable your users to export the data as CSV, HTML, an iGoogle component, or an embeddable iFrame gadget.
Eclipse Rich AJAX Platform (RAP) Visualization Wrappers (Productivity Tool) - 10 visualization wrappers for the Eclipse Rich AJAX Platform (RAP): Motion Chart, Line Chart, Scatter Chart, GeoMap (partial), Pie Chart, Column Chart, Bar Chart, Area Chart, Gauge, and Annotated Timeline. Source code available at http://www.eclipse.org/rap/
TracGViz (Productivity Tool) - TracGViz is a free and open source tool that provides components so that Trac will be able to use Visualization gadgets as well implements data managed by Trac as a Google Visualization API data source. Source code available at http://mac.softpedia.com/progDownload/TracGViz-Download-58517.html
GvisWriter (Productivity Tool) - GVisWriter is a PHP 5 class library that generates gvis.js Javascript code. Use this class to generate Google Visualization visualizations using PHP. The library uses the Google Code Project gvis.js wrapper instead of generating native Google Visualization Javascript. Source code available at http://code.google.com/p/gviswriter/source/browse
vis-table (Data Source) - A library implementing a Google Visualization datasource in PHP. It has three main parts. The datatable implementation itself, the query language parser, and the formatters. Source code available at http://code.google.com/p/vis-table/source/browse
Google Datasource Implementation in Oracle PL/SQL (Data Source) - An Oracle PL/SQL package that enables Oracle to server Data Sources directly from the database. So basically you can use any Oracle query as a base Datasource (the package will return a JSON file with the data). It has almost-full support for the Google Query Language. Source code available at http://code.google.com/p/oragoods/source/browse

Daniel · at 8:42 AM

Google launches Data Explorer - Gapminder.org & Google Spreadsheets Adds Gadgets, a Directory of Features & Getting Started with Spreadsheets Gadgets - Google Spreadsheets APIs and Tools - Google Code & Gadget list : Gadgets - Google Docs Help & Map : Gadgets - Google Docs Help & Google Chart Tools - Should I use an image chart or an interactive chart?

Daniel · at 2:42 PM

Drupalversity | groups.drupal.org: "LMS (http://en.wikipedia.org/wiki/Learning_management_system#Systems,, http://en.wikipedia.org/wiki/JoomlaLMS) & SCORM (http://en.wikipedia.org/wiki/SCORM, http://drupal.org/project/scorm, http://groups.drupal.org/scorm) & Registry (http://en.wikipedia.org/wiki/ADL_Registry)" & Drupal in Education Handbook & The Drupal Cookbook (for beginners) | drupal.org

Daniel · at 1:58 PM

Drupal CMS Pros and Cons | Top Website Guide to Design Marketing Development: "I believe one of the largest mistakes new website owners make in 2010 is to choose a basic and less powerful CMS like WordPress, simply because they don’t know or haven’t been exposed to Drupal. You can create a better site with more visual design and make it a lot easier for your visitors to find content if you choose Drupal. For sites at the $2,000 level and above, I would build in Drupal over all other choices, except maybe Joomla." - Excerpt from eBook for beginners.