Examples of using The same data in English and their translations into Chinese
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Political
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Ecclesiastic
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Programming
Another view of the same data.
Below is the same data presented in graphical format.
Multiple copies of the same data.
Both employ the same data, but reach strikingly different conclusions.
Notice that both methods return the same data.
Table 2 supplies the same data according to age group.
Table 7 provides a condensed version of the same data.
GraphX allows users to view the same data as graphs and as collections.
Table E provides a condensed version of the same data.
Both reports used the same data, yet arrived at vastly different conclusions.
Tables and Figures should not reproduce the same data.
The same data set shows men accurately rate women, resulting in a bell shaped curve.
Up to 32 devices can be used on the same data line.
Table 6 below provides a condensed version of the same data.
However, CoreLogic's data is the same data used by the federal reserve.
Instead, they create new smaller tables that share the same data.
Multiple interpretations of the same data must be possible.
Or, use the same data to create an interactive SVG bar chart with smooth transitions and interaction.
You can collect the same data, but the statistical analysis is less likely to give you a high confidence limit.
Replica set is a group of mongod processes that maintain the same data set.
Most importantly, the same data is accessible in both modes because it resides on the portable computerâs drives.
Parallel clusters allow multiple hosts to access the same data on the shared storage.
The same data that allows stores to intelligently sell you what you really want may also allow a government to infringe upon your rights.
According to some rough estimates, we can assume that in the same data center within the ordinary network call takes about 3 milliseconds.
The same data would generate a new test parameter in the validation of the system to ensure the error isn't repeated.
A replica setis a group of MongoDB servers that maintain the same data set, providing redundancy and increasing data availability.
So, it can provide the same data for every science platform to calculate precise metrics like the impact factor of a researcher or a publication.
Perhaps they are all running different versions of software,perhaps they are in the same data centre, or perhaps something else is happening.