Examples of 'data are often' in a sentence
Meaning of "data are often"
data are often - refers to the frequency or common occurrence of data in a certain context
How to use "data are often" in a sentence
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data are often
Pollution data are often processed manually on paper.
But the legal rules on data are often unclear.
The data are often called nodes.
Appropriate comparative data are often unavailable.
Data are often unavailable or inconsistent.
Dimensions in the data are often displayed on axes.
Data are often lacking in the areas where they are required.
But the original data are often never published.
Data are often damaged when a laptop is accidentally dropped or falls.
Scientific data are often metric.
Data are often incomplete.
This is especially challenging as data are often extremely difficult to collect and interpret.
Data are often unreliable.
Different bands of multispectral data are often highly correlated and thus contain similar information.
Because of limited capacity, reliable disaggregated data are often unavailable.
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Highly skewed data are often transformed by taking logarithms.
Moreover, analytical performance data are often lacking.
Personal data are often shared anonymously.
Moreover, national accounts data are often revised.
These data are often not available in many developing countries.
For those that have, the data are often incomplete.
Survey data are often used to fit linear regression models.
Moreover, in many countries the data are often only partial in coverage.
Hard data are often hard to find and arrives late.
In social research work, the structure of the data are often hierarchical.
Time series of data are often deflated to a base period price.
Consequently, responsibilities for this largely common basis of data are often unclear.
Useful data are often easy to obtain without relying on information systems.
Furthermore, internationally comparable data are often lacking, even among developed countries.
These data are often collected through the use of diary studies.
Meanwhile, appropriate collection practices and privacy of client data are often omitted.
Administrative data are often insufficient to develop accounts on the basis of prorating.
Indeed, private companies collecting such data are often not even European.
The collected data are often deemed to be incomplete and somewhat unreliable.
Moreover, the national accounts data are often modified, revisions.
Statistical data are often revised as a normal part of the statistical process.
Moreover, definitions of “ water supply ” and “ basic sanitation ” differ, and consistent data are often lacking.
These missing data are often not published because of problems of confidentiality.
However, archaeological data are often difficult to interpret.
These data are often not available at the density required for accurate assessments.
Socio-demographic data are often included in a.
The data are often incomplete or not supplied within the time allowed.
The national accounts data are often modified, leading to.
Data are often missing, incomplete or unreliable, and difficult to access or acquire.
However, their data are often very accurate.
Data are often hard to gather on activities that are illegal, clandestine or otherwise sensitive.
As such, high frequency data are often referred to as transaction data.
Data are often not routinely collected through health information systems, hampering analysis of progress.
In some countries, databases of business data are often more accessible, thereby enabling matching.
Categorical data are often summarized by reporting the percentage of individuals falling into each category.
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General schemes are often accessible for free
And often sacrificed to the goddess of agriculture
The victims are very often innocent children