📚 Topic Summary
Data types are the foundation of how computers store and manipulate information. In data science and AI, understanding these types is crucial because the way you analyze and process data depends heavily on whether you're dealing with numbers, text, or other forms of information. This worksheet will cover common data types and how they're used.
🗂️ Part A: Vocabulary
Match the terms with their definitions:
| Term |
Definition |
| 1. Integer |
A. A sequence of characters (letters, numbers, symbols). |
| 2. Float |
B. A value that can be either true or false. |
| 3. String |
C. A whole number (positive or negative) without any decimal points. |
| 4. Boolean |
D. A number with a decimal point. |
| 5. List |
E. An ordered collection of items which can be of any data type. |
(Match the number with the correct letter)
✏️ Part B: Fill in the Blanks
Complete the following paragraph with the correct terms:
In Python, a variable assigned the value "Hello" would be considered a __________. Variables storing numerical data such as 3.14 are called __________. To represent true or false values, we use the __________ data type. A __________ is useful for storing an ordered collection of different data elements. Lastly, a variable storing '5' would fall under __________ type.
🤔 Part C: Critical Thinking
Imagine you are building an AI to classify different types of flowers. What data types would you use to represent the characteristics of each flower (e.g., petal length, color, number of petals)? Explain your choices.