Data manipulation and analysis
Finding the right tools to analyse and manipulate your data can be challenging, so where do you start?
Library staff have found these free statistical, qualitative, collaboration and data visualisation tools. In addition we’ve found online data and visualisation workshops and free practice datasets. Staff will update this page as new tools or training become available. Please contact the Records and Research Data Analyst, Talia Skinner, should you find any new tools or training.
A free replacement for the proprietary program SPSS, this program can provide a wide variety of analysis, tests and measures.
An open-source application for data cleanup, parsing data from websites, adding to websites by fetching it from websites and conversion to other formats.
An integrated development environment for R, an open-source programming language for statistical computing and graphics.
A platform that supports text of any kind, plus audio video and image files. A plug in for R is also available. The website is in German and will need to be translated.
A tool for the qualitative analysis of large bodies of textual, graphical, audio and video data.
A dedicated space for publishing and finding data from qualitative and multi-method research projects.
An R library for qualitative analysis.
A free version of QDA Miner software for computer-assisted qualitative analysis.
The cloud-based version of the same Microsoft desktop apps. These apps include the following plus Word, Excel, and Outlook.
- OneDrive: One TB of cloud storage is provided to all staff and students by the University. OneDrive allows the same collaboration as other cloud providers such as DropBox and Google Drive.
- OneNote: A digital notebook, personal workspace and content library, this tool is part of the Microsoft Office tools provided by the University. Training is available at Learning, Teaching and Library.
- Skype: A video conferencing and collaboration tool. This is also part of the Microsoft Office tools provided by the University.
Refer to IT Help for information on how to access Office 365.
Tableau is a data visualisation and analytics package. This software can connect a variety of data sources and allow data exploration in a simplified manner. Users with little programming experience can use Tableau to visualise their data using its drag-and-drop interface. Free for students, teaching staff and researchers doing non-commercial research.
A desktop application to interact with data visualisations built in Tableau.
Software to predict the distribution of species based on maximum entropy. This is open-source software.
N.C. State University provides data and visualisation workshops under a CC BY-ND licence. Topics covered include basic and advanced Tableau training, getting started with data visualisation, D3, using R, data cleaning with Open Refine and digital poster creation.
You can also access training provided by Tableau.
The following provide free practice datasets for data visualisation practice.