# data[].attributes.body
Number that describes how the numbers of a set of data are spread out or dispersed

# data[].attributes.body
helps readers see the changes occurred over a period of time.

# data[].attributes.body
When the data are normally distributed, the Empirical Rule applies.

68% of the observations will fall within ± 1 standard deviation of the mean,

95% will fall within ± 2 standard deviations of the mean, and

99.7% will fall within ± 3 standard deviations of the mean.

# data[].attributes.body
If the set of values is odd, when you come to the middle two values, add them together and divide by 2 to come to the median.

# data[].attributes.body
Is a measurement that indicates the center of the data. Order the values from least to greatest and then find the middle number.

# data[].attributes.body
The mode is the value in the set that occurs the most.

# data[].attributes.body
Shows trends over a certain period of time.

# data[].attributes.body
Data are spread out symmetrically about the mean.

# data[].attributes.body
It's intended to measure the spread of data around the mean.

# data[].attributes.body
The difference between the two extreme values (highest & lowest) in a group of values or a set of data.

# data[].attributes.body
A number that describes how the numbers of a set of data are spread out or dispersed.

# data[].attributes.body
A visual representation of the parts to the whole.

# data[].attributes.body
Visual representation using horizontal or vertical bars to make comparison or to show relationship on items of similar makeup.