Used and loved by millions
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com
data after data
Grammar usage guide and real-world examplesUSAGE SUMMARY
The phrase "data after data" is correct and usable in written English.
It can be used to describe a situation where one set of data follows another, often in a context of analysis or reporting. Example: "In the report, we observed trends emerging from data after data, revealing significant patterns in consumer behavior."
✓ Grammatically correct
Science
Computers, Environment and Urban Systems
EURASIP Journal on Advances in Signal Processing
BMC Medical Research Methodology
Chemistry Central Journal
Heritage Science
European Journal of Clinical Pharmacology
BMC Health Services Research
Energy, Sustainability and Society
Psicologia: Reflexão e Crítica
EURASIP Journal on Embedded Systems
BMC Oral Health
BMC Public Health
Environmental Health Perspectives
BMC Psychiatry
TechCrunch
BMC Genomics
BMC Health Services Research
Plosone
The New York Times - Sports
EURASIP Journal on Wireless Communications and Networking
Pastoralism
Transportation Research Part D: Transport and Environment
EURASIP Journal on Information Security
Robotics and Biomimetics
Data Science and Engineering
Journal of Petroleum Exploration and Production Technology
Journal of Cheminformatics
Large-scale Assessments in Education
Anesthesia and Analgesia
Arthritis and Rheumatology
Analytical Chemistry
Genetics, Selection, Evolution
Global Health Action
BMJ Open
Alcohol research : current reviews
BMC Nephrology
Alternative expressions(4)
Table of contents
Usage summary
Human-verified examples
Expert writing tips
Linguistic context
Ludwig's wrap-up
Alternative expressions
FAQs
Human-verified examples from authoritative sources
Exact Expressions
3 human-written examples
First, the trajectory of each individual is extracted from sparse sampling of mobile phone location data after data cleansing.
Assume that the original stream of binary data is V = {v0, v1, v2,..., vn-1}, and the modified stream of binary data after data hiding is R = {r0, r1, r2,..., rn-1}.
Because of meagre and unclear reporting, it was also difficult to tell whether the studies that claimed to have decided on sample size through an iterative research process and point of saturation did, in fact, analyse their data after data collection had ended.
Human-verified similar examples from authoritative sources
Similar Expressions
57 human-written examples
a) original data; b) data after column centring by subtraction of the mean column value.
Science
Figure 1 Conductivity values of coin washing solutions a) original data; b) data after column centring by subtraction of the mean column value.
Science
The record is divided into earlier data and data after 1990 and the decline since 1990 represents a decrease of some 80 each year, using the Sen slope (− 80.4 ± 21.5).
Science
This analysis was conducted using unimputed (analysis 1A) data and data after multiple imputations (5 times; 6.5 % maximally missing; analysis 1B).
One study was a model-based predictive trial using actual patient data; another looked at before-after data regarding implementation of electronic medical records.
Science
After data structuring, data analysis is performed (iv).
After data collection, data were input in tables used for statistical analyses.
After data logging, data can be uploaded to PC or Smartphone using any of the following three methods: (1) by removing the SD cards from data logger, (2) using USB interface, and/or (3) using wireless Bluetooth link.
Expert writing Tips
Best practice
When emphasizing the continuous flow of information, use "data after data" to highlight the relentless influx, as in tracking real-time updates.
Common error
Avoid using "data after data" if you intend to convey data redundancy; instead, clarify if the subsequent data points add new value or perspectives.
Source & Trust
81%
Authority and reliability
4.1/5
Expert rating
Real-world application tested
Linguistic Context
The primary grammatical function of "data after data" is to act as an adverbial phrase, modifying a verb or clause by specifying the manner or sequence in which data is presented or analyzed. Ludwig AI confirms its usability. Example: "Trends emerging from data after data" (modified verb: emerging)
Frequent in
Science
66%
News & Media
33%
Formal & Business
0%
Less common in
Academia
0%
Encyclopedias
0%
Wiki
0%
Ludwig's WRAP-UP
In summary, the phrase "data after data" is grammatically correct but infrequently used to emphasize a continuous flow or accumulation of information. While Ludwig AI confirms its usability, alternatives like "successive data" or "sequential data" might be more concise. Its register is neutral, and it appears most often in scientific and media contexts. While not incorrect, writers should consider whether the repetition adds value or if a more streamlined expression would be more effective.
More alternative expressions(6)
Phrases that express similar concepts, ordered by semantic similarity:
successive data
Emphasizes the sequential nature of the data points, focusing on their order.
sequential data
Highlights the ordered arrangement of the data, implying a specific sequence is important.
data in sequence
Rephrases the original concept to highlight the ordered nature of the datasets.
data series
Implies a structured collection of data points arranged in a particular order.
consecutive data points
Focuses on individual data points occurring one after another.
subsequent data
Stresses that the data follows after an initial set or point of reference.
following data
Similar to "subsequent data", indicating data that comes directly after.
recurring data
Suggests the data appears multiple times or at regular intervals.
iterative data
Highlights data being collected and analyzed through repeated cycles or processes.
accumulated data
Shifts the focus to the gathering or collection of data over time.
FAQs
How can I effectively use "data after data" in a sentence?
Use "data after data" when you want to emphasize a continuous stream or series of data points, such as, "The analysis revealed consistent patterns emerging from "data after data"".
What phrases are similar in meaning to "data after data"?
Alternatives include "successive data", "sequential data", or "data in sequence", depending on the specific context you wish to emphasize.
Is "data after data" redundant or grammatically incorrect?
While it might sound repetitive, "data after data" is grammatically correct and can be used to emphasize the continuous flow or accumulation of data, though it is not very common.
When should I avoid using "data after data"?
Avoid using "data after data" if a more concise term like "successive data" or "sequential data" can effectively convey the same meaning without unnecessary repetition.
Editing plus AI, all in one place.
Stop switching between tools. Your AI writing partner for everything—polishing proposals, crafting emails, finding the right tone.
Table of contents
Usage summary
Human-verified examples
Expert writing tips
Linguistic context
Ludwig's wrap-up
Alternative expressions
FAQs
Source & Trust
81%
Authority and reliability
4.1/5
Expert rating
Real-world application tested