Examples of using Bad data in English and their translations into Vietnamese
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Colloquial
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Ecclesiastic
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Computer
We need to talk about bad data.
Bad data costs you time, it costs you money and it costs you resources.
And at that point, we get bad data.
A bad data viz in an oversaturated market won't cut it with overloaded consumers.
And everybody knows what bad data does.
On the other hand, bad data are useless, although many decisions today are still based on poor data. .
This design feature meant that the system protected itself against bad data.
And, your email address could easily become cluttered with bad data, damaging your sender reputation.
In other words, because of this built-in redundancy,it is very difficult for the system to accept bad data.
We thought it might be bad data or movement on the spacecraft, but everythingchecked out.'.
Right errors are received for requests with Invalid data, bad data.
Also, we should also plan for the unexpected cases,typically bad data- when the user clicks haphazard or database containing sewage.
Right now, data science has to deal with a lot of problems with bad data.
Also, we should also plan for the unexpected cases,typically bad data- when the user clicks haphazard or database containing sewage.
The one constant is that the only thing worse than not having any data at all,is drawing the wrong conclusions from bad data.
DNSSEC protects the user from getting bad data from a signed zone by detecting the attack and preventing the user from receiving the tampered data. .
It said that it happened(apart from other reasons) as a result of bad data visualization.
If you're working with bad data, all you're doing is making the wrong decisions at the speed of light- something that could negatively impact your bottom line.
The travel ban is detrimental to scientific exchange and progress in the US and possibly globally-not just because it is potentially based on bad data.
China's National Bureau ofStatistics itself has repeatedly called out instances of bad data reportage and now attempts to gather provincial data directly itself.
Meet IBM Fellow Donna Dillenberger, who reads computer data dumps like mystery novels,trying to find what“murdered” the bad data.
He also points out the importance of making sure there is good data because ultimately,if you have bad data in an immutable record, that is going to be a serious problem.
Unfortunately, when you have bad data, it also costs you a lot more, because we have health disparities, and we have social determinants of health, and we have the infant mortality, all of which depends on the data that we collect, and if we have bad data, than we have those issues still.
Most importantly, local business owners need to understand that Yext is basically putting apaid layer of good data over the top of bad data- sweeping dirt under the carpet.
Bad data leads to bad decisions, so if you know that the data you're using for a certain metric isn't reliable(and let's face it, it probably isn't), then you really shouldn't be using that data to make business decisions, much less as a measure of SEO success.
On the contrary, to buy the EUR/USD based on economic data print, you either need goodeconomic data from the Euro-Zone in relation to expectations or bad data from the United States in relation to expectations.
By contrast, services like Moz Local(automated citation management) and Whitespark(manual citation management)correct your bad data at the source, rather than just putting a temporary paid Band-Aid over it.
He said via Twitter that it's possible the find-my-phone apps all rely on the same WiFi mapping data- maybe all licensed from the same company-and that the company"could have had bad data in the database, either someone using the same MAC address at a different location or just bad GPS data.".