Characteristic of data: structure
How data is organised. Structured data fits rows and columns with headings, like a table. Unstructured data, like free text, images or audio, has no fixed layout and is harder to analyse.
Understanding Characteristic of data: structure in VCE Data Analysis
What it does: A formula can count matching values only when the data sits in a column with a consistent structure. Image and audio files have no fixed fields, so they are unstructured and need extra processing before analysis. Headings define the fields in structured data, which makes it easy to sort, filter and calculate. Structured data in columns can be sorted and filtered quickly. Free text must be read or processed first. Structure depends on how the data is organised into fields, not where it is stored.
Common mistakes: The heading row must separate each field with commas so it lines up with the data rows. It should be Name,Year,Score. This row has only 2 values but the headings define 3 columns. A structured table needs every row to have the same fields. It should be Pen,2.50,10.
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