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US008650475B2 (12) United States Patent Ideally (10) Patent N0.: (45) Date of Patent: (54) SELECTIVE RESIZING OF DATA INPUT CELLS (75) Inventor: US 8,650,475 B2 Feb. 11, 2014 OTHER PUBLICATIONS European
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How to fill out selective resizing of data?

01
Identify the data that needs to be resized. This can be done by analyzing the current data and determining which parts need to be resized for better performance or storage optimization.
02
Choose the appropriate resizing method. There are several ways to selectively resize data, such as downsampling, decimation, or compression. Each method has its advantages and should be chosen based on the specific requirements of the data.
03
Implement the chosen resizing method. This may involve writing custom code or using existing software tools that support the selected method. It is important to follow best practices and ensure the integrity and accuracy of the resized data.
04
Test and validate the results. After resizing the data, it is crucial to validate the changes and ensure that the desired outcome has been achieved. This can be done through various testing techniques, such as comparing the resized data with the original data or running performance tests on the resized data.

Who needs selective resizing of data?

01
Data scientists and researchers: They often work with large datasets and need to manipulate and analyze the data efficiently. Selective resizing allows them to reduce the size of the data while preserving the relevant information, making it easier to process and analyze.
02
Data storage and management professionals: Selective resizing can help optimize storage space and reduce costs associated with storing large volumes of data. By selectively resizing data, unnecessary information can be removed or compressed, resulting in more efficient storage and management of data.
03
Software developers: Applications that deal with large datasets can benefit from selective resizing of data. By reducing the size of the data, developers can improve application performance, reduce memory usage, and enhance overall user experience.
04
IT administrators: Selective resizing of data can play a significant role in managing and maintaining databases, especially in cases where performance or storage optimization is crucial. By resizing data, administrators can achieve better database performance, reduce backup times, and improve recovery processes.
In summary, selective resizing of data involves identifying the data that needs resizing, choosing the appropriate resizing method, implementing the method, testing and validating the results. This process is beneficial for data scientists, researchers, data storage professionals, software developers, and IT administrators who seek to optimize performance, storage space, and overall data management.
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Selective resizing of data is the process of adjusting the size or scale of specific data points while leaving others unchanged.
Companies or individuals who need to modify the size of certain data elements for analysis or presentation purposes may be required to file selective resizing of data.
Selective resizing of data can be done using specialized software programs or tools that allow users to manually adjust the size of individual data points.
The purpose of selective resizing of data is to highlight specific data points, trends, or relationships within a dataset by adjusting their scale or size.
The information reported on selective resizing of data may include the original and adjusted values of the data points, the reason for resizing, and any analysis or insights gained from the process.
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