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shortfall of data
Grammar usage guide and real-world examplesUSAGE SUMMARY
The phrase "shortfall of data" is correct and usable in written English.
It can be used when discussing a deficiency or lack of data needed for analysis, decision-making, or reporting. Example: "The project was delayed due to a shortfall of data, which hindered our ability to make informed decisions."
✓ Grammatically correct
Science
News & Media
Formal & Business
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
1 human-written examples
Firstly, there's a shortfall of data scientists, which goes some way in explaining why companies are retraining existing staff to work with big data) and secondly, not all companies are ready to (nor do they need to) invest in full-time data scientists to analyse and explain their data.
News & Media
Human-verified similar examples from authoritative sources
Similar Expressions
59 human-written examples
Singer and Willet argue that this approach is particularly appropriate to account for the shortfall of predictor information for categorical data when there are complex patterns of temporal variation of observations.
Science
With a projected shortfall of 190,000 big data and analytics professionals in the US by 2018*, she is well-positioned to seize rewarding jobs.
News & Media
One of the shortfalls of this retrospective collection of data on prenatal diagnoses in patients with mitochondrial disease is the paucity of information available regarding follow-up on children born after prenatal diagnosis.
This paucity of data reflects a shortfall in the availability of population-based primary care databases linked to estimated glomerular filtration rate (eGFR) and albuminuria reporting and traceable to mortality.
Science
One strand of the literature uses this result to stress that for bounded variables it is important to only use a measure that ranks populations consistently for shortfalls and attainments as the representation of data should not affect the outcome of the analysis.
Science
Partitioning of data by vessel revealed that such shortfalls in retained catch were evident for only some vessels, while the square-mesh codend performed as intended for the others.
Science
Results are difficult to interpret due to lack of data on Irish private hospitals, and as capacity shortfalls may force patients to travel for services.
Science
For the fiscal year 2006 2007, CJRR forms were submitted on only 41% of hip and knee arthroplasty cases an obvious shortfall in data collection.
Science
McKinsey last did that in May 2011, with a report that said that by 2018 the United States could face a shortfall of 1.5 million data analysts and managers able to cope with the flood of data in their businesses.
News & Media
Combined with the single year of data this could have contributed to the less than 100% identification by diagnosis of these patients, though it is doubtful that this accounts for the full shortfall.
Science
Expert writing Tips
Best practice
When discussing research or analysis, explicitly state the implications of the "shortfall of data" on your findings or conclusions. For instance, mention how it might limit the scope or accuracy of your results.
Common error
Avoid making definitive claims or generalizations when your analysis suffers from a "shortfall of data". Acknowledge the limitations and suggest areas for further research to address the gap.
Source & Trust
81%
Authority and reliability
4.4/5
Expert rating
Real-world application tested
Linguistic Context
The phrase "shortfall of data" functions as a noun phrase, typically serving as the subject or object of a sentence. It identifies a deficiency or lack of data needed for analysis, decision-making, or reporting, as suggested by Ludwig.
Frequent in
Science
40%
News & Media
30%
Formal & Business
30%
Less common in
Reference
0%
Encyclopedias
0%
Wiki
0%
Ludwig's WRAP-UP
In summary, the phrase "shortfall of data" accurately describes a deficiency in the amount of available data. As Ludwig AI confirms, it's grammatically correct and usable in English. Although its frequency is only uncommon, it appears in various reliable sources. The term is most frequently used in scientific, news, and formal business contexts. When writing, be mindful of acknowledging the limitations imposed by any "shortfall of data" and avoid overstating conclusions. Instead, use alternatives like "lack of data" or "insufficient data" for variety. The overall sentiment is that this expression is useful and should be used with awareness of context and implications.
More alternative expressions(6)
Phrases that express similar concepts, ordered by semantic similarity:
lack of data
A straightforward and commonly used alternative.
data shortage
Implies that the available data is below the required level.
insufficient data
Emphasizes that the amount of data is not adequate.
limited data
Indicates that the data is restricted in quantity or scope.
inadequate data
Similar to 'insufficient', focusing on the data's unsuitability.
data deficiency
This term is a more concise way of expressing a lack of data.
deficiency in data
Highlights a specific area where data is lacking.
paucity of data
Highlights the scarcity of data available.
scarcity of data
Similar to 'paucity', indicating a limited supply of data.
data gap
A term that suggests missing or incomplete data.
FAQs
What does "shortfall of data" mean?
A "shortfall of data" refers to a situation where there is not enough data available to adequately analyze a problem, make informed decisions, or draw reliable conclusions.
What are some alternatives to saying "shortfall of data"?
You can use alternatives such as "lack of data", "insufficient data", or "data deficiency" depending on the context.
How does a "shortfall of data" affect research?
A "shortfall of data" can limit the scope and accuracy of research findings, making it difficult to draw definitive conclusions. It often necessitates acknowledging limitations and suggesting further investigation.
In what situations is the phrase "shortfall of data" commonly used?
The phrase "shortfall of data" is commonly used in academic, scientific, and business contexts when discussing research, analysis, or decision-making processes that are hindered by a lack of adequate information.
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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
4.4/5
Expert rating
Real-world application tested