Why data visualization? Reason #1

map_schoolsTo create an interface for our audience to explore our data.

There are strong arguments for why we create data visualizations. In this world of big data, visualizations allow audiences to easily explore and understand our statistics through a visual interface.

Many organizations provide visual interfaces for the public to view, filter, search, and drill down into complex data sets. Users are able to investigate data based on their personal objectives.



Teaching with Technology

twt_01Learn six very easy ways to use technology as a teaching tool

There are many everyday tools out there that can help you achieve specific educational goals in your teaching. But first, let me emphasize that technology should be used in service of teaching and learning. Therefore, I am presenting several scenarios where technologies could help an instructor become more in tune with students and their needs.


Designing Experiential Learning: A field example

experiential_01In a recent article, my colleague and I published Operations Management Outside of the Classroom: An Experiential Approach to Teaching Enabled by Online Learning, which described a course that brought experimental earning to the MBA curriculum. This course is called Ops in NYC, and it leverages the Big Apple as the classroom as we hold class meetings at real businesses.


Top 5 Data Visualization Errors

Learn How to Avoid Errors Made by Data Visualization Software

Building data visualizations is easy. In fact, you can build beautiful geospatial, categorical, statistical, relational, multivariate, and time series displays with little effort, as long the data is presented in the correct format. However, it’s always important to study and review the output of your visualizations; the default settings can result in errors of omission and poor scaling.