Here are some sources at the UC library and from the internet that can inspire you, if you’re looking for data.
Being able to analyse data is an important skill. So the chance is high that at some point in your academic career you will be asked to analyse or find interesting data.
If you are in that situation and you need data for one of your courses or just you need some inspiration for an interesting research assignment, then check out the new Library guide with lots of links to interesting data-sets.
Here are some examples of what is included:
- If you are looking for data on economic, environmental, health, political or sociological topics, you can find millions of data points in the Gallup World Poll or the Pew data-sets.
- For financial data of companies worldwide, you can dive into the Bloomberg terminals or visit the Orbis database.
- If you are interested in NZ statistics, you can get access to NZ Stats’ Integrated Data Infrastructure (a room with dedicated computer is now available at the UC business school).
- And the official statistics of almost all countries can be found in the World Bank’s data archive .
Check the whole list of what is available, here.
The Statistical Consulting Unit is having another run of its popular Data Analysis Using R’ workshops. The workshops are free and primarily directed at postgraduate students and members of staff, who need to improve their data analytic skills.
The Introductory Data Analysis (DA1) workshop will take place on Tue-Wed 20-21 June, and will cover fundamental statistical concepts, such as sampling distribution, hypothesis testing, and p-values, as well as introduce linear regression and analysis of variance (ANOVA). No prior knowledge of R is required.
The Advanced Data Analysis (DA2) workshop will take place on Tue-Wed 4-5 July, and will extend the material of DA1 to include generalised linear models (useful, when your response variable is a count or a binary yes/no) as well as repeated measures and hierarchical experimental design.
There are still places left.
For more information about these workshops or about statistical consulting, please contact Elena.Moltchanova@canterbury.ac.nz or Daniel.Gerhard@canterbury.ac.nz.
Digital Research Seminar Series – Talk #8
Geoff Ford (PhD candidate, Political Science)
In this seminar Geoff discusses construction of a corpus of New Zealand Parliamentary Debates and what can be learned from the corpus about Parliament’s proceedings and how political parties are using Parliament. He will discuss and illustrate a range of ways of approaching analysis of the text of parliamentary speeches (including basic programmatic parsing, techniques from corpus linguistics, and topic modelling) and some of the associated problems. Read more…
- Date: Monday 5 October 2015, 11am-12.30pm
- Location: Room 151, Psycology/Sociology building, Ilam Campus