Records: grouping fields of different data types
Name:
Date:
Class:
A
Quick Questions
Shade in the A or B circle for each question.
1. Which best describes a record?
2. A student record has the fields name, age and mark. Which set of data types fits?
3. How many records would you need to store details of 30 students?
4. Which is a field name in a Student record?
5. Record or array: you want to store a student's name, age and mark together.
B
Match the Pairs
Draw a line connecting each item on the left to its match on the right.
| Left column | Right column | |
|---|---|---|
| 1student = {"name": "Ava", "age": 15, "mark": 88.5} | AA record definition that lists each field name and its data type | |
| 2Record Student: name String, age Integer, mark Float | Bmarks = [88, 74, 91] student = {"name": "Mia", "mark": 91} | |
| 3A record holds one item, so you need one record per student | Cstudent1 = {"name": "Ava", "age": 15} student2 = {"name": "Liam", "age": 16} | |
| 4An array holds values of the same type, but a record can mix data types | DTwo students are crammed into one record by repeating a field. Each student needs their own record. | |
| 5student = {"name": "Noah", "age": "sixteen"} student["age"] + 1 | EThe age field holds text instead of an integer, so maths on it fails. Store it as the integer 16. | |
| 6students = {"name": "Zoe", "name": "Leo", "age": 15} | FA record for one student that groups a text field, an integer field and a decimal field |
C
Definitions
record
D
Fill in the Blanks
Complete each line of code by filling in the missing parts.
1.
student = {"name": "Ava", "age": 15}
print(_______["name"])
2.
student = {"name": "Ava", "mark": 87.5}
print(____(student["mark"]))
3.
roster = [{"name": "Zoe"}, {"name": "Leo"}]
print(roster[_]["name"])
4.
student = {"name": "Ava", "age": 15}
print(___(student))
5.
student = {"name": "Ava", "age": 15}
___ field in student:
print(field)
E
Spot the Error
Shade in the letter of the line that contains an error.
Question 1
A
RECORD Student
B
name AS String
C
age Integer
D
mark AS Decimal
E
END RECORD
Question 2
A
RECORD Book
B
title AS Integer
C
pages AS Integer
D
END RECORD
Question 3
A
DIM s AS Student
B
s.name = "Ava"
C
s.age = "16"
D
s.mark = 88.5
Question 4
A
ARRAY Pet
B
name AS String
C
age AS Integer
D
END RECORD
Question 5
A
DIM s AS Student
B
s.name = Noah
C
s.mark = 72.5
Answer Key
Records: grouping fields of different data types
Section A: Quick Questions
Q1
B — Groups related fields, which can be different data types, to describe one thing
Q2
A — name: String, age: Integer, mark: Float
Q3
B — 30 records, one per student
Q4
A — studentName
Q5
A — Record
Section B: Match the Pairs
Q1
student = {"name": "Ava", "age": 15, "mark": 88.5} → A record for one student that groups a text field, an integer field and a decimal field
Q2
Record Student: name String, age Integer, mark Float → A record definition that lists each field name and its data type
Q3
A record holds one item, so you need one record per student → student1 = {"name": "Ava", "age": 15}
student2 = {"name": "Liam", "age": 16}
Q4
An array holds values of the same type, but a record can mix data types → marks = [88, 74, 91]
student = {"name": "Mia", "mark": 91}
Q5
student = {"name": "Noah", "age": "sixteen"}
student["age"] + 1 → The age field holds text instead of an integer, so maths on it fails. Store it as the integer 16.
Q6
students = {"name": "Zoe", "name": "Leo", "age": 15} → Two students are crammed into one record by repeating a field. Each student needs their own record.
Section C: Definitions
Q1
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).Section D: Fill in the Blanks
Q1
student = {"name": "Ava", "age": 15}
print(student["name"])Q2
student = {"name": "Ava", "mark": 87.5}
print(type(student["mark"]))Q3
roster = [{"name": "Zoe"}, {"name": "Leo"}]
print(roster[1]["name"])Q4
student = {"name": "Ava", "age": 15}
print(len(student))Q5
student = {"name": "Ava", "age": 15}
for field in student:
print(field)Section E: Spot the Error
Q1
C — Each field in a record must be declared as fieldName AS Type. The AS keyword is missing, so the line should be ' age AS Integer'.
Q2
B — A book title is text, so the field should have the data type String, not Integer. The line should be ' title AS String'. Records can mix data types.
Q3
C — The age field is an Integer, so it must be given a whole number, not text in quotes. The line should be 's.age = 16'.
Q4
A — An array holds items of the same data type, but this structure has a String and an Integer field. A record groups different types, so the line should be 'RECORD Pet'.
Q5
B — A String value must be written inside quotes. Without them, Noah looks like a variable name. The line should be 's.name = "Noah"'.