In simple terms,** a data point **is a single piece of information, while **data **refers to a collection of information.

For example, let’s say you’re conducting a survey to determine your classmates’ favorite ice cream flavor. Each time one of your classmates tells you their favorite flavor, that piece of information is a data point. Once you have collected all the answers from your classmates, you have a set of data that includes everyone’s favorite flavor. Check out the table below for more examples.

Data Point |
Data (or Dataset) |

A single score on a test | The scores of all the students in a class |

The temperature in your room right now | The temperatures at different times and locations around the world |

The price of a single stock at a specific time | The prices of all the stocks in a particular market |

One person’s age | The ages of everyone in a population |

One GPS coordinate of a location | The coordinates of all the locations on a map |

So, a data point is like one piece of a puzzle, while data is the complete puzzle that’s made up of many pieces. When we use data, we’re usually interested in analyzing many different data points to find patterns or make decisions based on the whole collection of information.