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The Google Visualization API is a great way for people to make dashboards with slick graphics based on data without getting into the fine print of the scripting language itself. It utilizes the same tools as Google itself does, and makes visualizing data using API calls to the Visualization API. Thus a real-time customizable dashboard that is publishable to the internet can be created within minutes, and more importantly insights can be much more easily drawn from graphs than from looking at rows of tables and numbers.
- There are 41 gadgets (including made by both Google and third-party developers ) available in the Gadget Gallery ( https://developers.google.com/chart/interactive/docs/gadgetgallery)
- There are 12 kinds of charts available in the Chart Gallery (https://developers.google.com/chart/interactive/docs/gallery) .
- However there 26 additional charts in the charts page at https://developers.google.com/chart/interactive/docs/more_charts )
Building and embedding charts is simplified to a few steps
- Load the AJAX API
- Load the Visualization API and the appropriate package (like piechart or barchart from the kinds of chart)
- Set a callback to run when the Google Visualization API is loaded
- Within the Callback – It creates and populates a data table, instantiates the particular chart type chosen, passes in the data and draws it.
- Create the data table with appropriately named columns and data rows.
- Set chart options with Title, Width and Height
- Instantiate and draw the chart, passing in some options including the name and id
- Finally write the HTML/ Div that will hold the chart
You can simply copy and paste the code directly from https://developers.google.com/chart/interactive/docs/quick_start without getting into any details, and tweak them according to your data, chart preference and voila your web dashboard is ready!
That is the beauty of working with API- you can create and display genius ideas without messing with the scripting languages and code (too much). If you like to dive deeper into the API, you can look at the various objects at https://developers.google.com/chart/interactive/docs/reference
First launched in Mar 2008, Google Visualization API has indeed come a long way in making dashboards easier to build for people wanting to utilize advanced data visualization . It came about directly as a result of Google’s 2007 acquisition of GapMinder (of Hans Rosling fame).
As invariably and inevitably computing shifts to the cloud, visualization APIs will be very useful. Tableau Software has been a pioneer in selling data visualizing to the lucrative business intelligence and business dashboards community (you can see the Tableau Software API at http://onlinehelp.tableausoftware.com/v7.0/server/en-us/embed_api.htm ), and Google Visualization can do the same and capture business dashboard and visualization market , if there is more focus on integrating it from Google in it’s multiple and often confusing API offerings.
However as of now, this is quite simply the easiest way to create a web dashboard for your personal needs. Google guarantees 3 years of backward compatibility with this API and it is completely free.
I liked the design, user interfaces and the conceptual ideas behind the latest Anonymous hactivist websites (much better than the shabby graphic design of Wikileaks, or Friends of Wikileaks, though I guess they have been busy what with Julian’s escapades and Syrian emails)
I disagree (and let us agree to disagree some of the time)
with the complete lack of respect for Graphical User Interfaces for tools. If dDOS really took off due to LOIC, why not build a GUI for SQL Injection (or atleats the top 25 vulnerability testing as by this list http://www.sans.org/top25-software-errors/
Shouldnt Tor be embedded within the next generation of Loic.
Automated testing tools are used by companies like Adobe (and others)… so why not create simple GUI for the existing tools.., I may be completely offtrack here.. but I think hacker education has been a critical misstep[ that has undermined Western Democracies preparedness for Cyber tactics by hostile regimes)…. how to create the next generation of hackers by easy tutorials (see codeacademy and build appropriate modules)
-A slick website to be funded by Bitcoins (Money can buy everything including Mastercard and Visa, but Bitcoins are an innovative step towards an internet economy currency)
-A collobrative wiki
Seriously dude, why not make this a part of Wikipedia- (i know Jimmy Wales got shifty eyes, but can you trust some1 )
-Analytics for Anonymous (sighs! I should have thought about this earlier)
http://anonanalytics.com/ (can be used to play and bill both sides of corporate espionage and be cyber private investigators)
What We Do
We provide the public with investigative reports exposing corrupt companies. Our team includes analysts, forensic accountants, statisticians, computer experts, and lawyers from various jurisdictions and backgrounds. All information presented in our reports is acquired through legal channels, fact-checked, and vetted thoroughly before release. This is both for the protection of our associates as well as groups/individuals who rely on our work.
_and lastly creative content for Pinterest.com and Public Relations ( what next-? Tom Cruise to play Julian Assange in the new Movie ?)
http://www.par-anoia.net/ />Potentially Alarming Research: Anonymous Intelligence AgencyInformation is and will be free. Expect it. ~ Anonymous
Links of interest
- Latest Scientology Mails (Austria)
- Full FBI call transcript
- Arrest Tracker
- HBGary Email Viewer
- The Pirate Bay Proxy
- We Are Anonymous – Book
- To be announced…
Here is an interview with Hjálmar Gíslason, CEO of Datamarket.com . DataMarket is an active marketplace for structured data and statistics. Through powerful search and visual data exploration, DataMarket connects data seekers with data providers.
HG- DataMarket is my fourth tech start-up since at age 20 in 1996. The previous ones have been in gaming, mobile and web search. I come from a technical background but have been moving more and more to the business side over the years. I can still prototype, but I hope there isn’t a single line of my code in production!
Funny you should ask about the 10 things that have surprised me the most on this journey, as I gave a presentation – literally yesterday – titled: “9 things nobody told me about the start-up business”
* Do NOT generalize – especially not to begin with
* Prioritize – and ﬁnd a work-ﬂow that works for you
* Meet people – face to face
* You are a sales person – whether you like it or not
* Technology is not a product – it’s the entire experience
* Sell the current version – no matter how amazing the next one is
* Learn from mistakes – preferably others’
* Pick the right people – good people is not enough
* Tell a good story – but don’t make them up
I obviously elaborate on each of these points in the talk, but the points illustrate roughly some of the things I believe I’ve learned … so far
Both Amazon and Google have entered the public datasets space. Infochimps has 14,000+ public datasets. The US has http://www.data.gov/
So clearly the space is both competitive and yet the demand for public data repositories is clearly under served still.
How does DataMarket intend to address this market in a unique way to differentiate itself from others.
HG- DataMarket is about delivering business data to decision makers. We help data seekers find the data they need for planning and informed decision making, and data publishers reaching this audience. DataMarket.com is the meeting point, where data seekers can come to find the best available data, and data publishers can make their data available whether for free or for a fee. We’ve populated the site with a wealth of data from public sources such as the UN, Eurostat, World Bank, IMF and others, but there is also premium data that is only available to those that subscribe to and pay for the access. For example we resell the entire data offering from the EIU (Economist Intelligence Unit) (link: http://datamarket.com/data/list/?q=provider:eiu)
DataMarket.com allows all this data to be searched, visualized, compared and downloaded in a single place in a standard, unified manner.
We see many of these efforts not as competition, but as valuable potential sources of data for our offering, while others may be competing with parts of our proposition, such as easy access to the public data sets.
Ajay- What are your views on data confidentiality and access to data owned by Governments funded by tax payer money.
HG- My views are very simple: Any data that is gathered or created for taxpayers’ money should be open and free of charge unless higher priorities such as privacy or national security indicate otherwise.
Reflecting that, any data that is originally open and free of charge is still open and free of charge on DataMarket.com, just easier to find and work with.
HG- The scene is quite vibrant, given the small community. Good teams with promising concepts have been able to get the funding they need to get started and test their footing internationally. When the rapid growth phase is reached outside funding may still be needed.
There are positive and negative things about any location. Among the good things about Iceland from the stand point of a technology start-up are highly skilled tech people and a relatively simple corporate environment. Among the bad things are a tiny local market, lack of skills in international sales and marketing and capital controls that were put in place after the crash of the Icelandic economy in 2008.
I’ve jokingly said that if a company is hot in the eyes of VCs it would get funding even if it was located in the jungles of Congo, while if they’re only lukewarm towards you, they will be looking for any excuse not to invest. Location can certainly be one of them, and in that case being close to the investor communities – physically – can be very important.
We’re opening up our sales and marketing offices in Boston as we speak. Not to be close to investors though, but to be close to our market and current customers.
Ajay- Describe your hobbies when you are not founding amazing tech startups.
HG- Most of my time is spent working – which happens to by my number one hobby.
It is still important to step away from it all every now and then to see things in perspective and come back with a clear mind.
I *love* traveling to exotic places. Me and my wife have done quite a lot of traveling in Africa and S-America: safari, scuba diving, skiing, enjoying nature. When at home I try to do some sports activities 3-4 times a week at least, and – recently – play with my now 8 month old son as much as I can.
Hjálmar Gíslason, Founder and CEO: Hjalmar is a successful entrepreneur, founder of three startups in the gaming, mobile and web sectors since 1996. Prior to launching DataMarket, Hjalmar worked on new media and business development for companies in the Skipti Group (owners of Iceland Telecom) after their acquisition of his search startup – Spurl. Hjalmar offers a mix of business, strategy and technical expertise. DataMarket is based largely on his vision of the need for a global exchange for structured data.
To know more, have a quick look at http://datamarket.com/
Integrates R Statistical Programming Language into Oracle Database 11g
Comprehensive In-Database Platform for Advanced Analytics
|Oracle Advanced Analytics — an option to Oracle Database 11g Enterprise Edition – extends the database into a comprehensive advanced analytics platform through two major components: Oracle R Enterprise and Oracle Data Mining. With Oracle Advanced Analytics, customers have a comprehensive platform for real-time analytic applications that deliver insight into key business subjects such as churn prediction, product recommendations, and fraud alerting.
Oracle R Enterprise tightly integrates the open source R programming language with the database to further extend the database with Rs library of statistical functionality, and pushes down computations to the database. Oracle R Enterprise dramatically advances the capability for R users, and allows them to use their existing R development skills and tools, and scripts can now also run transparently and scale against data stored in Oracle Database 11g.
Oracle Data Mining provides powerful data mining algorithms that run as native SQL functions for in-database model building and model deployment. It can be accessed through the SQL Developer extension Oracle Data Miner to build, evaluate, share and deploy predictive analytics methodologies. At the same time the high-performance Oracle-specific data mining algorithms are accessible from R.
|Oracle R Hadoop Connector||Gives R users high performance native access to Hadoop Distributed File System (HDFS) and MapReduce programming framework.|