Definition of «data»

Usage examples

1. Analyzing data: Examine the raw data collected from a survey and identify patterns or trends.
2. Data visualization: Create visually appealing charts, graphs, or infographics to present data in a clear and understandable way.
3. Data entry: Inputting data into a spreadsheet or database accurately and efficiently.
4. Data mining: Extract valuable information from large datasets by using various techniques and algorithms.
5. Data backup: Making copies of important data to prevent loss or damage in case of system failure or accidents.
6. Data cleansing: Removing errors, inconsistencies, or duplications from a dataset to ensure accuracy and reliability.
7. Data analysis software: Utilizing specialized software like Excel, Tableau, or Python for organizing, manipulating, and analyzing data.
8. Data privacy: Implementing measures to protect sensitive information and ensure compliance with privacy regulations.
9. Data-driven decision making: Using data and insights to make informed decisions in business, policy-making, or research contexts.
10. Data storage: Storing data in physical or digital forms, such as hard drives, cloud servers, or tape drives.