data over time

USAGE SUMMARY

The phrase "data over time" is correct and usable in written English.
It can be used when discussing trends, changes, or patterns in data as they relate to a specific time period. Example: "The analysis of the sales figures revealed significant growth in data over time, indicating a positive trend for the company."

✓ Grammatically correct

Science

News & Media

Formal & Business

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

Looking at the data over time is both fascinating and disturbing.

The New Yorker

Alternatively, you can access the data over time in the downloadable spreadsheet.

The Guardian

One of the biggest challenges with these kinds of apps is managing the data over time, said Black.

The Guardian

But the device has no memory, so you cannot collect data over time to examine your baby's long-term behavior.

The New York Times - Tech

Those who defaulted later were not included in the data; over time, default rates increase substantially.

The New York Times

Compare countries' housing data over time with our interactive house-price indicators .

The Economist

Steep declines in affordability have also taken place in Ireland, Spain and Australia.Compare countries' housing data over time here.

The Economist

Transferability of laboratory data over time was also studied.

International Journal of Medical Informatics

Wind data over time is time series data.

Renewables: Wind, Water, and Solar

Houzz plans to update the data over time.

TechCrunch

This report makes me hunger for more data over time.  .

TechCrunch

Expert writing Tips

Best practice

When analyzing "data over time", clearly define the time period and the specific metrics being tracked to provide context and avoid ambiguity.

Common error

Avoid using inconsistent time intervals when presenting "data over time". Ensure that the intervals are uniform (e.g., monthly, annually) to allow for accurate comparisons and trend analysis.

Linguistic Context

The phrase "data over time" functions as a noun phrase that refers to a collection of data points indexed or tracked across a specific period. Ludwig AI confirms that it's used to describe information that changes or is observed across a duration. It often serves as the subject or object of a sentence, highlighting the temporal aspect of data analysis.

Expression frequency: Very common

Frequent in

Science

46%

News & Media

35%

Formal & Business

19%

Less common in

Wiki

1%

Academia

0%

Encyclopedias

0%

Ludwig's WRAP-UP

In summary, the phrase "data over time" is a grammatically sound and frequently used expression that emphasizes the importance of considering the temporal aspect of data. Ludwig AI confirms its validity and broad applicability. Predominantly found in scientific and news contexts, it highlights the evolution and trends within datasets. To ensure clarity in writing, it's best practice to define time periods and metrics clearly, while avoiding inconsistent intervals. By using "data over time", analysts and researchers can effectively communicate the changes and patterns observed, leading to better insights and informed decisions.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

Longitudinal data

Focuses on the type of data collected at different points in time.

Time-series data

Emphasizes the sequential nature of the data points.

Historical data

Highlights the past nature of the data being considered.

Data trends

Focuses on patterns and changes observed in the data across time.

Temporal data

A more formal way to refer to data related to time.

Data evolution

Highlights the changes and development in data across time.

Data fluctuations

Focuses on irregular variations in data across time.

Data progression

Focuses on the forward movement and changes in data across time.

Changes in data

Emphasizes the variations observed in data across time.

Data variations

Highlights the different forms and values data takes across time.

FAQs

How do I properly analyze "data over time"?

Analyzing "data over time" involves using statistical methods like time series analysis, regression analysis, and trend analysis to identify patterns, forecast future values, and understand the underlying processes driving the data. Visualization tools can help you identify trends.

What are the key considerations when collecting "data over time"?

When collecting "data over time", ensure consistency in data collection methods, maintain accurate records of dates and times, and address any potential biases or confounding factors that could affect the data's reliability. Proper documentation is crucial.

What are some alternatives to saying "data over time"?

You can use alternatives like "longitudinal data", "time-series data", or "historical data" depending on the specific context and emphasis you want to convey.

Why is it important to visualize "data over time"?

Visualizing "data over time" helps to identify trends, patterns, and anomalies that might not be immediately apparent in raw data. Charts like line graphs, bar charts, and area charts can effectively communicate changes and relationships over a specific period.