Do you need to get a better understanding of your data? Do you need to know if your data has errors? With this website you can analyse your data and generate helpful reports describing the characteristics of your data. It also automatically detects errors and gives you the tools you need to fix them quickly and easily.
Why Choose UWA Data-oracle? Click here to find out more.
To start go to 'Online' button to use our online tool to make reports and clean your data. For for advanced users with large files use the 'Offline' button to download the analytic tool for use on your local machine.
Research projects often involve the collecting of large amounts data from sensors, and the collation of this data from varied datasets. Small formatting errors and occasional inconsistencies can make this data very difficult to efficiently analyse.
Our website provides users with a tool that can read a comma-separated value data files and excel spreadsheets to present a high level digest of the data to a researcher, identifying errors and inconsistencies, and highlighting anomalies for the user.
Users are also able to change the report which is generated by changing the way the file is read. These settings can be saved as a file on their PC to apply the same settings on files of the same structure.
This program only stores your data for as long as the analysis is run, after which the data is immediately deleted. For those concerned about privacy or for user's with very large files the program is available to be downloaded and can be run using python.
This project was developed by the UWA students: Liam Jones, Alastair Chin, Jordan Hedges, Kieran Richards, Leighton Lilford, Jan Villanueva and Alastair Mory for a Computer Science design project under the supervision of Dr Tim French and the UWA System Health Lab. The prototype tool was then tested by participants in the 2016 Unearthed Hackathon. Feedback from this experience and from A/P Adrian Keating at UWA led to the launch of the current version.
If you have questions about the tool or have any feedback or suggestions, feel free to contact us at systemhealth-ecm@uwa.edu.au
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