Year 11 QCE Digital Solutions Unit 2: Data-driven problems and inserting data
Students learn what makes a problem data-driven and how data sources, file formats, data structures and validation rules affect getting data into a system.
One content description from the full QCE Digital Solutions Unit 2 — Data-Driven Problems and Solution Requirements journey. All 20 modules below are in that journey too, with the same content — add just these to a class, or the whole strand.
Modules (20)
1
Data and information
2
What a data-driven problem is
3
Primary and secondary data sources
4
Quantitative data
5
Qualitative data
6
Data requirements for a research question
7
Dataset file formats: CSV, XLSX, JSON and XML
8
Delimited (CSV) files: structure
9
Plain text (TXT) files: structure
10
XML files: structure
11
Reasons for using TXT, CSV and XML data sources
12
Problems caused by inconsistent data formats when inserting data
13
One-dimensional arrays
14
Records: grouping fields of different data types
15
Two-dimensional arrays
16
Choosing a data structure
17
Validation: why data is checked on entry
18
Types of validation check
19
Validation versus verification
20
Data integrity characteristic: reasonableness
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