What is Data? — Information All Around You

Every time you check the weather, look at a scoreboard, or scroll through your playlist, you are looking at data. Data is just information that has been collected and stored. Your name is data. Your age is data. The number of steps you walked today, the temperature outside, the reviews on a movie — all data! Data science is the skill of collecting, organizing, and understanding all this information to answer questions and make better decisions.

Data comes in different types: Numbers (Quantitative): Things you can count or measure. - Your height: 152 cm - Steps today: 8,432 - Temperature: 72 degrees F Categories (Qualitative): Things you can describe with labels. - Favorite color: blue - Genre: comedy - Pet type: dog Text: Words and sentences. - A movie review - Your name - Chat messages Boolean: True or false. - Is it raining? True - Logged in? False Knowing the type of data helps you decide how to analyze it.

Data scientists use data to answer questions and solve problems: - Netflix uses your viewing data to recommend shows you will enjoy - Weather apps use temperature and wind data to predict tomorrow's forecast - Schools use test score data to figure out where students need more help - Game developers use player data to make their games more fun - Doctors use health data to catch diseases early The raw data itself is not useful — it becomes powerful when you organize it, visualize it, and find the stories hiding inside it.