Dig in to dirty data. What is it? Why should we care? Try your hand at using an open source data cleansing tool.
Why is ”clean” data important? Public policy, changes to medical protocols and economic decisions all depend on accurate and complete data. Thing 10 looks at the why and what of “dirty data.”
1. Browse down the Bad Data Guide list of commonly encountered data quality issues (with possible solutions). This is aimed at journalists but it shows who is responsible for cleaning up dirty data.
Click into a few of the causes and solutions to dirty data - many of us contribute information to reports or do our home accounts in spreadsheets, and maybe it’s time to think about how clean our own data is!
2. For a quick guide to working with spreadsheets, check out one of the School of Data’s Data Fundamentals course (A Gentle Introduction to Data Cleaning).
Consider: What are the wide ranging implications of how dirty data can impact your research?
The Library facilitates a range of workshops specifically designed to assist research staff and higher degree by research students. All of the Library Research Services workshops are currently being offered in online format due to concerns around COVID-19. Please view our updated workshop page below.
Edith Cowan University acknowledges and respects the Noongar people, who are
the traditional custodians of the land upon which its campuses stand and its programs
operate.
In particular ECU pays its respects to the Elders, past and present, of the Noongar
people, and embrace their culture, wisdom and knowledge.