Sentence examples for read data in from inspiring English sources

The phrase "read data in" is grammatically correct and can be used in written English.
It is typically used when discussing the action of obtaining information or input from a source, such as a file or a device. Example: "To analyze the results, we need to read the data in from the spreadsheet and organize it into categories."

Exact(21)

The users can read data in standard formats, like JSON or PNG.

ncWMS can read data in a large number of common scientific data formats – notably the NetCDF format with the Climate and Forecast conventions – then efficiently generate map imagery in thousands of different coordinate reference systems.

Admittedly, this unusual memory requires an internal light source, but the amount of illumination required is tiny and consumes less power than the logic circuits that are used to read data in and out.

It is usually much easier to read data in a table than in the text.

"Native mobile apps – unless they have a web backend (like Spotify, Instagram, RunKeeper) – cannot integrate with Open Graph, because Facebook needs to read data in a web database to then publish to members' timelines," he says.

The original design for Martus worked well for "smash-and-grab" scenarios, like secret police grabbing a computer or hacking a server, but today spear phishing attacks that can drop malware on a device to read data in machine memory are threats outside of Martus' scope.

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Similar(39)

On the Atmel, after sending the reply to the PCs start byte, the code simply loops and reads data in at desired baud until the value 0x01 is found, or 64k of static RAM has been filled.

It reads data in the edge list format, and offers additional functions to generate null networks, as detailed in the following section.

RegScan reduces the number of individual read/write events by reading data in large chunks in the binary mode and then efficiently parsing the data in the memory to retrieve the information.

PIQA reads data in the bustard, fastq and scarf formats and eases the visual identification of technical problems, including mistakes in sample/library preparations, defective tiles/ lanes and abnormalities in the frequencies of appearance of genomic reads.

Mail merge reads data in columns.

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