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VCE Spreadsheets, SQL & Visualisation · Modules 45–54

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A free printable VCE Spreadsheets, SQL & Visualisation definitions worksheet with 10 key terms, built from the key terms of Relational database structure and Querying data with SQL (Modules 45–54) — Importing a CSV file into a database table, Validation rules on database fields, SQL constraints for validation, What a database query is, SQL SELECT and FROM, SQL WHERE conditions and more. Print it or save it as a PDF — the answer key starts on its own page. No login needed.

VCE Spreadsheets, SQL & Visualisation Definitions Worksheet: Relational database structure and Querying data with SQL (Modules 45–54)

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Key terms

Write what each term means, in your own words.

1
Import CSV
2
validation rule
3
CHECK (age BETWEEN 0 AND 120)
4
query
5
SELECT name, age FROM students;
6
WHERE
7
AND / OR
8
Like "S*"
9
ORDER BY
10
SELECT AVG(score) FROM results;

Answer Key

VCE Spreadsheets, SQL & Visualisation · Modules 45–54 · Student wording will vary for definitions
1Import CSV — Fills a new database table from a CSV file. The first row becomes the field names, and you choose a data type for each field, such as text or number, and check them after the import.
2validation rule — A rule set on a database field that checks each entry, such as a number range, a maximum text length or a drop-down list, and rejects any record that breaks the rule.
3CHECK (age BETWEEN 0 AND 120) — A constraint is a rule on a column. This CHECK rejects any record with an age outside 0 to 120. NOT NULL (must have a value) and UNIQUE (no repeats) are constraints too.
4query — A saved question asked of a table. It shows only the fields and records that answer it, as a new view, and leaves the original table unchanged.
5SELECT name, age FROM students; — SELECT lists the fields to show and FROM names the table. This returns the name and age columns for every record in students. SELECT * shows all columns. End with a semicolon.
6WHERE — An SQL clause that keeps only the rows meeting a condition, such as WHERE age >= 15 or WHERE town = 'Perth'. Text goes in quotes, and AND or OR can combine conditions.
7AND / OR — AND needs both conditions to be true, like Year = 7 AND Score > 80. OR needs at least one to be true, like Pet = "Cat" OR Pet = "Dog". They let a query match several conditions at once.
8Like "S*" — A query criterion where the * wildcard stands for any characters, so it finds text that starts with S. Like "*s" ends with s and Like "*at*" contains at.
9ORDER BY — Sorts the rows a SELECT query returns by a chosen field. It sorts A to Z or lowest to highest by default (ASC), or the reverse if you add DESC after the field name.
10SELECT AVG(score) FROM results; — An aggregate function works out one value from many rows. COUNT, SUM, AVG, MIN and MAX give the count, total, mean, lowest and highest. This query returns the mean score.

Modules this definitions worksheet covers

Every module has its own free printable worksheet with an answer key, and students can practise the same terms interactively on Cloodit.

Part of: VCE Applied Computing - U1O1 - Data analysis, VCE Data Analytics - U3O1 - Data Analytics, VCE Data Analytics - U3O2 - Analysis and Design, 7-8 Digital Technologies: Acquiring, storing and validating data, 7-8 Digital Technologies: Analysing and visualising data, 9-10 Digital Technologies: Acquiring, storing and validating data, 9-10 Digital Technologies: Analysing and visualising data, IGCSE Computer Science 0478 — 9 Databases, ACARA Digital Technologies Years 7–8 — Structured Data and Queries, ACARA Digital Technologies Years 9–10 — Acquiring and Validating Data, ACARA Digital Technologies Years 9–10 — Entities, Relationships and Queries, QCE Digital Solutions Unit 2 — Data-Driven Problems and Solution Requirements, QCE Digital Solutions Unit 2 — Data and Programming Techniques, QCE Digital Solutions Unit 2 — Prototype Data Solutions, QCE Digital Solutions Unit 3 — Interactions Between Users, Data and Digital Systems, QCE Digital Solutions Unit 3 — Innovative Digital Solutions, QCE Digital Solutions Unit 4 — Prototype Digital Data Exchanges, WA Computer Science ATAR Year 11 — Data Management

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