The phrase "as the effective data" is not correct and may be confusing in written English.
It could be used in contexts discussing data that is currently relevant or applicable, but the phrasing is awkward.
Example: "The analysis was based on the most recent findings, as the effective data indicated a significant trend."
Alternatives: "as the relevant data" or "as the applicable data".
Virmani continued, "Visualizing the data is just as important as being a good statistician, so the effective data scientist will have knowledge of some visualization tools and frameworks to, again, help them tell a story with the data.
On the other hand, the advantage of opportunistic overhearing due to the broadcast nature of wireless medium is also exploited to reduce packet retransmission times, so as to further increase the effective data rate.
On the other hand, as the MaxNB value increases, the effective data rate increases gradually.
When the packet generation interval is less than 0.1 s, as the number of transmitters increases, the effective data rate first grows and then decreases.
For the sake of analyzing the following derivations, we define the effective data rate as the transfer speed multiplied by the non-outage (transmission success) path existence probability (i.e., the probability that the channel can take place to support the data rate [24]).
We can observe that for the same number of transmitters, the effective data rate grows slowly as MinBE increases.
Several critical factors such as feature-level quantitation values, the extent of missing values and organelle markers can be overlaid on the data clusters as effective data exploration and quality control.
As well as showing the importance of effective data management, it found a continued focus on mobile, video and programmatic ad operations for digital publishers.
For its low-latency, high bandwidth, and low CPU utilization, Remote Direct Memory Access (RDMA) has established itself as an effective data movement technology in many networking environments.
Some core technologies are needed to solve the problem in big data, such as effective data collection and storage and data mining techniques and anomaly detection method.
