Stories by Sharon Machlis

IBM joins R Consortium

IBM will back efforts to create infrastructure and best practices for the R community, as well as promote use of the language.

11 Excel tips for power users

Tables can be very important tools for data display. We offer 11 tips and tricks to help Excel users make tables more effective, reshape data, easily look up data and more.

How Verizon analyzes security-breach data with R

Verizon researchers receive incident data from contributing organizations, which means numerous categories also have subcategories. Importing and analyzing all that with Excel was problematic.

Esri to unveil mapping tools in R

Esri is set to announce an open-source software bridge that makes it faster and easier to move mapping data between ArcGIS and R. The aim is to help R users tap into an organization's GIS data housed within ArcGIS, a popular platform for high-powered geo-analysis, without the need to generate intermediate files. However, the code will also work to pull in any vector or tabular data supported by ArcGIS -- including but not limited to Shapefiles -- whether or not that data is stored within ArcGIS.

Tableau 9.0 beta rolls out

Tableau will showcase beta version 9.0 of its data visualization and analysis software to a large group of customers today, touting features that include drag-and-drop analytics as well as data-preparation features that formerly had to be done outside the application.

IoT's dark side: Hundreds of unsecured devices open to attack

A self-described security "amateur" discovered hundreds of Internet-connected devices ranging from cameras to industrial control systems that were connected to the Internet without even basic password protection - meaning they could be easily turned on and off or otherwise manipulated with a single click of a mouse.

5 tips for data manipulation in Excel

If you work with data much, you don't need a statistical model to predict that the odds of consistently getting data in the format you need for analysis are pretty low. Those who do a great deal of data cleaning and reformatting often turn to scripting languages like Python or specialty tools such as OpenRefine or R.

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