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If you’re analyzing data, you’re doing statistics. You can call it data science or informatics or analytics or whatever, but it’s still statistics.

When physicists do mathematics, they don’t say they’re doing “number science”. They’re doing math.

If you’re analyzing data, you’re doing statistics. You can call it data science or informatics or analytics or whatever, but it’s still statistics.

In past two years, I worked with tweet data quite often, and understand those difficulties, so I would share some experience of this part. Even doing qualitative research, using some quantitative tools can magnificently improve efficiency. Thus, I would talk about some user-friendly quantitate tools can be used for qualitative research on tweet data.

THE East Coast/West Coast rivalry is not just over hip-hop, food and fashion anymore. Now it has made its way to universities preparing the next generation of technologists: data scientists who can make sense (and use) of the explosion of information that is now produced by nearly every industry. New York and Seattle are already sparring over which will be the next hotbed, beyond Silicon Valley, for educating these analysts of the future.

In the last few years, dozens of programs under a variety of names have sprung up in response to the excitement aboutBig Data, not to mention the six-figure salaries for some recent graduates.

Imagine taking a college exam, and, instead of handing in a blue book and getting a grade from a professor a few weeks later, clicking the “send” button when you are done and receiving a grade back instantly, your essay scored by a software program.

Data Journalism videos from The Guardian

Part I.

Part II.

Part III.

Specialized search engines are often used to located subject-specific professional or academic information in databases. Certain professions are used to shying away from the open web for fear of retrieving poor quality information. However, a new project is proving that quality medical information can be retrieved from the open web. Read more about FindZebra.com in the article, “New Medical Search Engine Quickly IDs Rare Diseases.”

Those of us who believe that managers make better decisions when key data are presented visually tend to get very excited about all the innovation going on in the graphical display of information. (For a sampling of some new and cool tools, see the popular Hans Rosling TED talk.) However, if you work in a large organization and want it to make better use of data visualization, I'd argue thatcommonality is more important than creativity. If you can establish a common visual language for data, you can radically upgrade the use of the data to drive decision-making and action.

LinkedIn wants to make search easier for its members. The Computerworld article “LinkedIn Sharpens Search Engine Feature” gives all of the details about the new revamped search system. With this new system LinkedIn wants its members to be able to find information easier on their site. LinkedIn’s initial goal was to provide a place for professionals to place their career bios as well as interact with their peers and colleagues. However, LinkedIn has grown and now serves a much larger audience. Companies as well as various groups have set up pages. In addition there is a job section as well as a section where individuals and publishers can share or posts comments, as well as provide links to articles. LinkedIn’s search engine sales 5.7 billion queries last year alone so the new search features will definitely reach a large audience. Johnathan Podemsky, a LinkedIn product manager shared the following

Some welcome enhancements to MongoDB are included in the open-source data base’s latest release, we learn from “MongoDB 2.4 Can Now Search Text,” posted at the H Open. The ability to search text indexes has been one of the most requested features, and the indexing supports 14 languages (or no language at all.) The write-up supplies this handy link to a discussion of techniques for creating and searching text indexes.

Segmenting the overall IT market horizontally typically results in five sub-markets: Semiconductors, hardware, software, telecommunications, and professional services. But an anomaly buried in the usual segmentation has existed for several decades, glossed over because it was such a slender slice of IT. That hidden slice has widened considerably post-2000 however, and the time has come to give those IT suppliers, for want of a better term we will call them “data providers,” their fair due – recognition of their own market space which I refer to as the “Data Economy.”

De Correspondent’s record-breaking campaign is remarkable, not least because even those paying up aren’t clear on what the platform will look like when it launches in September. “That’s for a very good reason,” Wijnberg said — “we don’t really know yet.”

Facebook Home, content, and messaging: Facebook has long been rumored to be developing a phone, and when it finally unveiled Facebook Home this week, it didn’t release a phone per se, but it may have as significant an impact on the mobile industry as if it had. As Engadget explained in its succinct walkthrough of Home’s features, it’s a suite of apps and a home-screen replacement for Android phones. It’s somewhere between app and operating system — an “apperating system,” as Wired’s Alexandra Chang put it.

An attempt to make plotting as easy on a modern computer running Clojure as it used to be on a ZX Spectrum.

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