The phrase "a poor data" is not correct in standard written English.
The term "data" is typically treated as a plural noun in formal contexts, so it should be used with "poor" in a different structure, such as "poor data quality."
Example: "The analysis was flawed due to the poor data collected during the survey."
Alternatives: "inadequate data" or "subpar data."
Several calls were dropped or plagued by distracting audio delays, probably because of a poor data connection or a network that switched from 4G to 3G service.
When a phone on the network has a poor data signal, it will borrow the connection of a nearby handset with a stronger signal by linking with it over Wi-Fi.
No level of marketing strategy or sales process can compensate for having a poor data maintenance plan.
He admitted that the company had a poor data environment, and we wondered if educating managers and building demand should be undertaken before data improvements that would make AI and analytics more feasible.
This procedure simply involves replacing the original value retrieved from the database by a poor data value, retrieved from our list of data quality problems (please refer to Table 1).
During this phase, we replace genuine data coming from the database with data that represents a poor data quality problem, for the particular data type and value being accessed.
Since the χ statistic is sensitive to sample size [ 24], the χ values might be inflated (statistically significant) due to the large size of the sample, which might erroneously imply a poor data-to-model fit [ 25].
Since this is only a rough approximation to reality, this restraint should be given a smaller weight in the least-squares minimization than for a rigid-bond restraint and is suitable for use in larger structures with a poor data-to-parameter ratio.
If the number of parameters increases without substantial model improvement, the information criterion also increases, indicating a poorer data fit.
Also, differences in modelling strategy were clearly reflected by model fit indices, with the model that included formative SES specifications proving a poorer data fit.
Thus, to allow easier debugging, we may execute a single poor data injection per client request, even if that request involves multiple data accesses.
