Data Types Examples in CS Thinking
Start with the recap, study the fully worked examples, then use the practice problems to check your understanding of Data Types.
This page combines explanation, solved examples, and follow-up practice so you can move from recognition to confident problem-solving in CS Thinking.
Concept Recap
Categories that classify data values and determine which operations can validly be performed on them.
Different kinds of data (numbers, text, true/false) work differently.
Read the full concept explanation βHow to Use These Examples
- Read the first worked example with the solution open so the structure is clear.
- Try the practice problems before revealing each solution.
- Use the related concepts and background knowledge badges if you feel stuck.
What to Focus On
Core idea: Operations depend on type: you can add numbers, concatenate strings.
Common stuck point: '5' (text) and 5 (number) are differentβsome languages convert automatically, some don't.
Worked Examples
Example 1
easySolution
- 1 Step 1: 42 is a whole number with no decimal point β this is an integer.
- 2 Step 2: 'Hello' is text enclosed in quotes β this is a string.
- 3 Step 3: 3.14 has a decimal part β this is a float (real number). TRUE is a logical value β this is a boolean.
Answer
Example 2
mediumPractice Problems
Try these problems on your own first, then open the solution to compare your method.
Example 1
mediumExample 2
hardBackground Knowledge
These ideas may be useful before you work through the harder examples.