We have all of the precipitation data and the temperature data.

And we don't have all the updated data any longer, because this is really hot data today.

Thanks to all of you, I now have a data set.

Have what, Commander? All I see is a Starfleet data module.

I have all the data necessary to safely navigate these roads.

You will have data.

All data will be destroyed.

Sum of all data items

Obviously they all have SQL in the name, and they all use SQL for putting data into the database and getting data out.

So you have all these pieces of data distributed throughout the network.

And they need to have access to all of the trial data.

We know they have the Xindi technology. You've all seen the data.

We probably wouldn't have looked at the data at all, and if we did look at the data, we'd probably have said, Fantastic!

This data isn't accurate at all.

Sum of all data items squared

It had underground all the data

So statistics is all about data.

Given all the black data points,

And Twitter isn't all the data.

You have data, and data in neuroscience is sensory input.

I have no data yet.

We don't have any data.

We don't have enough data

Data, data, data...

And you should have all the networks of all the relationships between those pieces of data.

And we captured all that data all over again.

Bing! That's data. Data, data, data.

In both cases you're given data, but in 1 case you have labeled data, in another you have unlabeled data.

That's the kind of power we have because of all of the data that we have.

First, I have to go through all the data and compute the mean. I do this by summing up all the data and dividing it by the total number of data items.

Check all the data of a torrent

We've manually entered all the data there.

We bring all that data back in.

The data says it all the time.

We are producing data all the time.

It's not really all that much data.

So it is with data. I could talk about all kinds of data.

How much data we have uploaded

Suppose we have 8 data points.

And the results have great data.

Why? Because they have the data.

The data must have been erased.

We have all this great data, but for some reason, it's just sitting there.

We could talk about government data, enterprise data is really important, there's scientific data, there's personal data, there's weather data, there's data about events, there's data about talks, and there's news and there's all kinds of stuff.

The sum of all data points divided by the total number of data points.