Data:

Noun:

  1. Facts and statistics collected together for reference or analysis.
  2. Information in digital form that can be transmitted or processed.

Prepositions:

  • “On” (data on something)
  • “From” (data from a source)
  • “For” (data for analysis)

Collocations:

  • Data analysis, data collection, data privacy/security, big data.

Example Sentences:

  1. The scientist collected data on temperature changes over the past century.
  2. The report presents data from surveys conducted in different regions.
  3. They analyzed demographic data to understand consumer behavior.
  4. Data encryption is used to protect sensitive information.
  5. The company stores customer data in secure servers.
  6. The study used data from satellite imagery to monitor deforestation.
  7. Data mining techniques extract patterns from large datasets.
  8. Access to reliable data is crucial for making informed decisions.
  9. The report includes data on unemployment rates across different sectors.
  10. Machine learning algorithms can process large volumes of data.
  11. The government collects data on economic indicators to assess growth.
  12. Data visualization tools help present complex information clearly.
  13. They are developing software to analyze genetic data for medical research.
  14. The dataset contains historical data on stock prices.
  15. Data analytics can identify trends and predict future outcomes.
  16. Personal data protection laws regulate how companies handle consumer information.
  17. The survey gathered data from participants across various age groups.
  18. Data integrity ensures that information remains accurate and reliable.
  19. The study relies on data collected from field observations.
  20. Data-driven decisions are based on empirical evidence rather than intuition.
  21. The database stores data on customer preferences and purchase history.
  22. Data breaches can compromise sensitive information.
  23. Researchers analyzed genetic data to study inherited diseases.
  24. The company uses data analytics to optimize marketing strategies.
  25. The census provides demographic data essential for urban planning.
  26. Data management involves organizing and storing information efficiently.
  27. The study relies on qualitative and quantitative data for analysis.
  28. Cloud computing enables remote access to data from anywhere.
  29. Data security measures include encryption and access controls.
  30. They conducted surveys to gather data on public opinion.
  31. The dataset includes data points collected over a five-year period.
  32. The app collects user data to personalize recommendations.
  33. Data processing speeds have improved with advances in technology.
  34. They conducted experiments to collect empirical data on climate change.
  35. The report presents data on market trends and consumer behavior.
  36. Data privacy regulations protect individuals’ personal information.
  37. The company’s success is driven by its ability to leverage data analytics.
  38. The researcher presented findings based on statistical data analysis.
  39. Real-time data feeds provide up-to-date information for traders.
  40. Data-driven marketing strategies rely on consumer behavior insights.
  41. Data governance frameworks ensure ethical use of information.
  42. The study aims to validate findings with additional data analysis.
  43. The dataset includes metadata to provide context for analysis.
  44. Data silos can hinder collaboration and decision-making.
  45. The report highlights trends identified through data analysis.
  46. Data management practices ensure data quality and consistency.
  47. The study collected data through interviews and surveys.
  48. Data warehousing facilitates centralized storage of information.
  49. Data scientists use programming languages to manipulate data.
  50. The dataset was anonymized to protect individual privacy.
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