Day three of Learn.Teach.Research was all about data - how to find it, clean it, analyse it and visualise it. Intended to build on the momentum of the Data Science Symposium held early this year, the day was all about making data science accessible to anyone wanting to get started, but unsure where to begin.
This blog post supplements the exercises distributed in the Google Fusion Tables workshop presented during Library Research Week. It is designed to make it easier to navigate to the various links given in those exercises.
Data Visualisation is about bringing data to life. It is where data and design come together to create meaningful, compelling, and accessible stories.
We (by which I mostly mean me) here at UTS Library are excited to be taking part in the upcoming 'Making Sense of Data' course, being run by Google from tomorrow. It is free to join and, according to the blurb, is intended for "anyone who wants to learn more about how to structure, visualize, and manipulate data.
It seems like there are more fantastic visualisation tools to play with all the time! This morning I discovered textexture, a new tool that helps you visualise text both in terms of frequency (like wordle) and as a network graph. What does that mean, and why is it cool?
Data is a very important part of being a Researcher in general, but it is particularly important to be aware that UTS is positioning itself as the Data Intensive University.