Data are the values that computers receive from various sources, including human activity, sensors, etc.

Information is the humanly-useful patterns extracted from data.

Data provide opportunities for identifying trends, making connections, and addressing problems. Information is the result of analyzing that data.

Data are the values that computers receive from various sources, including human activity, sensors, etc.

Information is the humanly-useful patterns extracted from data.

Data provide opportunities for identifying trends, making connections, and addressing problems. Information is the result of analyzing that data.

A correlation is a particular kind of information, namely a dependence between two variables in a situation. For example in the first picture here, as one variable goes up the other goes down. It's also a correlation when as one variable goes up or down the other changes in the same manner.

Insight is a meaningful conclusion drawn from analyzing information.

A record is one row in a dataset (other than the first row, which contains the column headings). A single record might be the data for one student in your school, the data for one earthquake that happened, the data for one hospital in the U.S, or the data for one contact in your contact list. In other words, a record is a horizontal slice of the dataset.

A field is one item of a record in a dataset. It might be one person's homeroom teacher, the magnitude of an earthquake in Los Angeles last week, the owner of one hospital in Chicago, or the phone number of one person in your contact list.

A column is a list containing the data from one field for all records in a dataset. A column might be the homeroom teacher for every student in your school, the magnitude of every earthquake in the dataset, the owner of every hospital in the U.S., or the phone number of every person in your contact list. In other words, a column is a vertical slice of the dataset.

Cleaning data is the process of making the data uniform without changing its meaning (such as replacing abbreviations, spellings, and capitalizations with the intended word or converting miles to kilometers). Programmers can use programs to filter and clean digital data, thereby gaining insight and knowledge.

Classifying data is extracting groups of data with a common characteristic.

Metadata are data about data. For example, the piece of data may be an image, while the metadata may include the date of creation or the file size of the image.