VCE Data Analytics U3O2 Word Scramble: Collecting primary and secondary data to Data integrity (Modules 32–75)
Name:
Date:
Class:
🔤
Word scramble
Unscramble the letters and write each key term on the line.
1
ASERHC ATREORPO
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.
2
CEASRH TRFLIE
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.
3
LOO-NINMEDINSEA RAAYR
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.
4
ECORDR
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).
5
DCOE
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.
6
IOGDNC EARFM
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.
7
CYEFRUQNE
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.
8
ICHIUYTNTAET
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.
9
REROENCCSTS
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.
Answer Key
VCE Data Analytics U3O2 · Modules 32–75
1ASERHC ATREORPO → search 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.
2CEASRH TRFLIE → search 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.
3LOO-NINMEDINSEA RAAYR → one-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.
4ECORDR → record — 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).
5DCOE → code — 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.
6IOGDNC EARFM → coding 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.
7CYEFRUQNE → frequency — 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.
8ICHIUYTNTAET → authenticity — 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.
9REROENCCSTS → correctness — 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.