"Data" Example Sentences
1. The data shows a clear trend in consumer spending over the last decade.
2. We collected data during the field study to better understand customer behavior.
3. The researchers analyzed the data and found some interesting patterns.
4. The new software will help us organize and visualize the data more effectively.
5. Data science uses techniques and theories drawn from many fields to interpret data.
6. They stored the data on secure servers to prevent unauthorized access.
7. Data protection laws regulate how companies collect and use personal data.
8. The company collects a vast amount of data from its users every day.
9. Machine learning algorithms find patterns in large amounts of data.
10. We need more data before we can draw any conclusions from the research.
11. The findings were not statistically significant given the limited data we had.
12. Raw data has not yet been processed or organized in any way.
13. Data is transformed and cleaned before it is ready for analysis.
14. Data breaches expose customers' private data to hackers.
15. The report summarizes key findings from our customer data.
16. The government collects a lot of data on its citizens.
17. Researchers use data to test hypotheses and theories.
18. Data visualization helps make large data sets understandable.
19. Data mining techniques can uncover hidden patterns in data.
20. Data drives decision making in businesses large and small.
21. Data privacy is an important issue in the digital age.
22. Data is only as good as how it is collected and analyzed.
23. The data suggests a correlation but not necessarily causation.
24. The team will continue to gather data to build the predictive model.
25. Big data refers to extremely large data sets that are difficult to analyze.
26. The data shows a distinct difference between the two groups.
27. They are working on standardizing how the data is formatted.
28. Data repositories store and allow access to large data sets.
29. Data is hard to make sense of without the proper context.
30. The team will need access to additional customer data for the project.
31. The report combines data from several different sources.
32. Data-driven decision making relies on analysis of facts rather than intuition.
33. The internet of things generates huge amounts of data every minute.
34. Real-time data is constantly updated and accessible immediately.
35. Statistical data helps us understand trends in business and society.
36. open data refers to data that is freely available for anyone to use.
37. The more high quality data you have, the better your model will be.
38. The results were backed up by data from three different studies.
39. We should sample more data points to get a clearer picture.
40. The data indicated a strong correlation between the two variables.
41. Big data analysts extract value and insights from data.
42. The strength of data lies in its ability to reveal patterns.
43. The information in the report is not supported by concrete data.
44. The government aims to make more administrative data publicly available.
45. Data-driven products are informed by data at every stage of development.
46. The leaked data contained sensitive personal information.
47. The report includes data tables, graphs and charts.
48. Data-driven culture fosters a habit of making decisions based on facts.
49. Meta data is data that provides information about other data.
50. The team collected survey data from thousands of participants.
51. The data shows that sales have declined over the past three quarters.
52. The graph charts the rise in carbon emissions based on the data.
53. Data centers store massive amounts of data for businesses and individuals.
54. The data is inconclusive so we cannot draw any firm conclusions yet.
55. Data governance policies ensure data is managed properly and securely.
56. The data revealed an error in our previous calculations.
57. Students are taught to think critically about the data presented to them.
58. We combined survey data with sales data for a more comprehensive view.
59. Reliable data provides the basis for informed decision making.
60. The data reveals an upward trend but the causes are still unclear.
Common Phases
1. The
data showed an increase in sales over last year.
2. They collect
data from surveys and questionnaires.
3. We analyzed the
data to find patterns and trends.
4. The
data is stored in a spreadsheet file on my computer.
5. The researchers gathered a lot of
data before drawing conclusions.
6. The company relies on massive amounts of customer
data.
7. The missing
data made the results unreliable.
8.
Data from decades ago may be outdated and irrelevant now.
9. I input the
data into the program to generate charts and graphs.
10. They need more
data to properly test the hypothesis.
11. Scientists collect
data to prove or disprove theories.
12. The
data set included information from over 1,000 participants.
13. Raw
data needs to be organized before it can be analyzed.
14.
Data is best visualized through charts, graphs and maps.
15. We compared the 2019
data to
data from previous years.
16. The lack of
data made it hard to determine the cause.
17. The committee analyzed the
data and made a decision.
18. The
data center stores petabytes of information.
19. Privacy concerns regarding the collection of personal
data are rising.
20. The
data was inconclusive and did not support the claim.
21. They entered the
data manually into an Excel spreadsheet.
22.
Data is the foundation upon which scientific theories are built.
23. Researchers hope the new
data will support their hypothesis.
24. We summarized the main findings from the
data in our report.
25.
Data-driven decisions are based on facts and evidence.
26. The
data revealed an unexpected correlation between the two variables.
27. The company collects customer
data to personalize marketing offers.
28.
Data is only useful if it is accurate and reliable.
29. Marketing campaigns are optimized using consumer
data.
30. The
data was recorded in an old format that we could no longer access.
31. The
data from the new study questions previous assumptions.
32. The report contained a large amount of
data on the subject.
33. Web analytics tools gather useful
data about website visitors.
34. The
data set had many anomalies that needed to be cleaned.
35.
Data mining tools are used to discover patterns in large
data sets.
36. They have a lot of
data, but lack proper analysis.
37. The
data was not normally distributed so we could not run that test.
38. Real-time
data is critical to the operation of the system.
39. The study found a strong correlation in the
data.
40. Simulations generate
data that help verify theories.
41. The
data logger recorded temperature readings every five minutes.
42.
Data is translated into meaningful insights through analysis.
43. We compared the new
data to the previous
data set.
44. The simulation produced
data that we used for modeling.
45. The
data conflicted with what we already knew about the topic.
46.
Data speaks for itself; it does not have an agenda or bias.
47. The
data are represented in the chart and table below.
48. The new
data confirms what we suspected all along.
49. They backed up all of their
data before shutting down the system.
50.
Data is what drives decisions in the information age.
51. The
data did not clearly support one hypothesis over the others.
52. Raw
data needs to be cleaned and structured before use.
53.
Data from multiple sources was combined for the analysis.
54. The cell phone app collects location
data from users.
55. We documented all
data collection methods in our report.
56. The sensor collects
data every second and transmits it wirelessly.
57.
Data-driven companies make decisions based on facts and metrics.
58. Business intelligence tools help analyze and gain insights from
data.
59. The
data set contained errors that needed to be fixed.
60. Qualitative
data provides a different perspective than quantitative
data.