Back to My Notes
Lecturer: Dr Simon Knight,
On this page, a collection of key features of the learning session is collected as below:
Finding and manipulating data
Find reliable data sources [on the internet/others]
Clean your data, and understand the kind of data you have
Summarise data using tables and descriptive statistics
Visualise data using built-in chart tools
Connect different bits of data using Vlookup, min/max,
Reference: [APA] [Harvard UTS]
Knight, S.(2016). Lecture week 3:Finding and manipulating data [PowerPoint slides]. Retrieved from UTSOnline for week 3.
Practice Questions
For effectively finding and manipulating data, Knight (2016) provides a set of practice questions and suggestion as follows:
1-Data sources: What and where?
Which source is better? Why? C.R.A.P.
C – Currency, when was it published?
R – Relevance, un/biased? Detailed/general?
A – Authority, credentials, evidence, methods?
P – Purpose, why was it written? For whom?
2-Getting data
3-Cleaning data
• ‘values only’
• What do we need to get rid of?
4-Summarising Data
• Where has the highest, and lowest rates?
5-Visualising the data
6-Evaluating Data
– What can we tell from this data?
– How credible are the sources?
– What limitations are there in the data?
This learning clip is also posted on my learning blog
Standard Deviation - The Standard Deviation is a measure of how spread out numbers are. Its symbol is σ (the greek letter sigma)
Useful links