Examples of using Each data point in English and their translations into Vietnamese
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Colloquial
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Ecclesiastic
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Computer
Each data point is one block.
Number of seconds that each data point will represent.
Each data point represents the mean± se.
The app also provides real-time details for each data point.
Each data point marker represents one movie.
Use error bars toindicate potential error amounts in relation to each data point.
As each data point in the time series is processed.
For example,the string'ro-' tells MATLAB to plot a red circle at each data point;
Then each data point has a cluster center closer to it.
Apply a percentage of the value for each data point in the data series.
What you're doing isasking Excel to replicate the same formula(above) for each data point.
Each data point records something about the simulated flight, including altitude, speed, location and direction.
Below is a linechart of the EUR/USD using the daily close for each data point.
For each data point, the equations of celestial mechanics were used to determine the height and azimuth of the sun.
Positive and Negative: Displays full error bars, both above and below each data point.
Each data point is divided by the total searches of the geography and time range it represents, to compare relative popularity.
You now have the value(xi{\displaystyle x_{i}}- x̅)2{\displaystyle^{2}}for each data point in your sample.
Look at the monthly chart(each data point represents one month) where a 6-EMA and 10-EMA(6-month and 10-month periods) are used.
K-means algorithm looks for clusters in d dimensions,where d is the number of features for each data point.
Now you have a value for each data point, related(indirectly) to how far that data point is from the mean.
Max Roser believes that the key to communicating data is to remember that“each data point is the entire human life.”.
Each data point is divided by the total searches of the geography and time range it represents, to compare relative popularity.
STANDARD Returns the sample covariance, the average of the products deviations for each data point pair in two data sets.
Each data point is valued the same as the day before in order to visualize a meaningful progress in sentiment change of the crypto market.
So we're given the data set and we're not told what to do with it andwe're not told what each data point is.
Each data point is divided by the total searches performed in the geographical region and time range it represents in order to compare the relative popularity of such point. .
In the Positive Error Value and Negative Error Value boxes,type the values that you want for each data point, separated by commas(for example, 0.4, 0.3, 0.8), and then click.
It could involve pulling up and analyzing a random subset of the data using Pandas, plotting a histogram or distribution curve to see the general trend,or even creating an interactive visualization that lets you dive down into each data point and explore the story behind the outliers.
For example, with this kind of chart, you could plot how many teens go to the movies,but the size of each data point(bubble) may represent how many females make up that data set.
Some data were available from men and women born in the early 1900s,other data from men and women born in the late 1900s, but each data point represented the ratio of men's to women's alcohol use for those born within a specific five-year time window.