When we talk about data, there are two important types: qualitative data and quantitative data. Both of these are really helpful when we're making decisions.

Qualitative Data:

• This type is all about descriptions and what things are like.
• It helps us understand people's experiences, feelings, and opinions.
• For example, if a school asks students about their favorite subjects, their answers can show patterns that help change school programs.

Quantitative Data:

• This type involves numbers and measurements.
• It gives us solid facts that we can study closely.
• For instance, looking at test scores can help us see if teaching methods are working. We can calculate the average score by using this formula: Average = Total Score ÷ Number of Students.

In real life, using both types together can help us make better choices and improve things, like school programs!