The histogram for this image is shown in the following table.

The histogram could show how many documents were published each month.

These directions can be represented as an average or in a histogram.

Again the color histogram showed the locations of the most hits.

To picture the way the data are distributed, a histogram may be drawn.

The average is found by compiling all the values into a histogram.

It is a form of binning, as in making a histogram.

Other information shown may be cost and resource histograms along the time axis.

This histogram differs from the first only in the vertical scale.

This version shows proportions, and is also known as a unit area histogram.

Bar charts also look a lot like a histogram, which record continuous data.

The histogram also includes the mass gain of copper alone.

The correlation coefficient may also be used for color histogram comparison.

Histograms are most commonly used as visual representations of data.

The mode is then the value where the histogram reaches its peak.

In some instances, text descriptions will be tied to these histograms.

Each histogram is used to define a sampling distribution for the next pass.

These threshold values were based on the segment's histogram from the previous step.

Tables, histograms and graphs can be produced just as easily.

Figure 4C shows the results of these experiments as an histogram.

A box plot or histogram may become more appropriate as the data size increases.

Figure 5 shows the histogram for these g estimates.

Histograms, even when made from the same record, are different for different class limits.

The total area of the histogram is equal to the number of data.

This type of histogram shows absolute numbers, with Q in thousands.