Daniel Gutierrez, Managing Editor of insideBigData tells a joke expressing the rigorousness and precision of mathematics:
An astronomer, a physicist, and a mathematician (it is said) were holidaying in Scotland. Glancing from a train window, they observed a black sheep in the middle of a field. “How interesting,” observed the astronomer, “all Scottish sheep are black?” To which the physicist responded, “No, no! Some Scottish sheep are black!” The mathematician gazed heavenward in supplication, and then intoned, “In Scotland there exists at least one field, containing at least one sheep, at least one side of which is black.”
In this article, five web browser based apps are presented. These apps are all geared toward facilitating the visualization of big data. As the article posits, when enough data has been collected, it is almost beyond the limits of ability to imagine the potential of this data; however, the ability to visualize this big data is a powerful tool. It is potentially the one tool (data visualization) powerful enough to restore the ability to imagine and even realize the potential of this big data.
Five Apps for Browser Based Data Visualization
- Many Eyes is an experiment, by IBM, that allows you to easily visualize your data set.
- With iCharts you can load just about any kind of data including spreadsheets, Google Drive documents, and more. Interactive charts are a unique feature that allows you to integrate data pop-ups, zoom & pan, or rich comments.
- Wolfram Alpha is a computational knowledge engine which attempts to rival Google. What is unique to WolframAlpha is that you can enter a string and have the tool immediately compute the string and display the results.
- Visualize Free is a hosted tool that gets you to upload your own data sets as well as gives you access to publicly available datasets. With this data you can build your own interactive visualizations to help illustrate your data.
- Data Wrangler is a web-based service from Stanford University’s Visualization Group. This tool is used for cleaning and rearranging data into a form that other tools can use (such as a spreadsheet). Although this tool will not actually visualize your data, it will clean it up so that visualization tools can actually make use of the data.
Neal Schaffer, the Founder and Editor-In-Chief at Maximize Social Business wrote an article a few months ago in which he enumerated a checklist of 17 Must-Have items for your LinkedIn Profile.
I’ve listed the 17 LinkedIn Profile Tips below:
- Get serious about your photo
- Professional names only, please
- Professional Headline branding is critical
- Optimize your location
- Align your industry
- Customize your profile URL
- Your Activity will show your latest status update – do you have one?
- Your Professional Summary: Expand upon your Professional Headline – and support it
- Fully connect with your past
- Build credibility with recommendations
- Don’t ignore endorsements – manage them
- Embrace the visual
- Make yourself contactable
- Join relevant LinkedIn groups
- Are you connected enough?
The original article can be found at the following link:
Professional LinkedIn Profile Tips: A Checklist of 17 Must-Have Items.
Recently, this list and the associated tips have been made into an infographic– and here it is in all it’s graphical, chock-full-of-information goodness and glory: