VCE Data Analytics U3O2 Definitions Worksheet: Collecting primary and secondary data to Data integrity (Modules 32–75)
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Key terms
Write what each term means, in your own words.
1
search operator
2
search filter
3
one-dimensional array
4
record
5
Suitability for visualisation
6
code
7
coding frame
8
frequency
9
authenticity
10
correctness
Answer Key
VCE Data Analytics U3O2 · Modules 32–75 · Student wording will vary for definitions
1search operator — A special symbol or word, such as quotation marks, a minus sign, site: or filetype:, that you add to your keywords to narrow a web search to the results you want.
2search filter — A setting in a data repository, such as topic, date range or file format, that narrows the results so you find and download only the data you need. Check the metadata first.
3one-dimensional array — A single row of items of the same data type, stored under one name. Each item is found by its index number, starting at 0. In Python, a list is used as an array.
4record — A structure that groups related fields of different data types to describe one thing, such as a student's name (text), age (integer) and mark (decimal).
5Suitability for visualisation — Quantitative data can be charted directly as numbers. Qualitative data (text) must first be coded or summarised into counts or categories before it can be charted.
6code — A short label or number given to each qualitative response, such as 1 = positive comment, so that similar responses can be grouped, counted and compared.
7coding frame — A table of categories, each with a definition and example, so every response gets one consistent code. Categories do not overlap, and an Other category catches the rest.
8frequency — The number of responses given a particular code. Counting each code turns qualitative data into counts you can chart; dividing by the total gives a percentage.
9authenticity — Data is authentic when it is genuine and really comes from the source it claims. Check the source and watch for fake or altered data.
10correctness — Each value is entered in the right field and right form, and processing gives the right result. It differs from accuracy, which is how close a value is to the real world.