How to describe distribution in a histogram

Shape

Outliers

Center

Spread

Median: the middle number. We use this when the distribution is pretty skewed.

Mean: add up all the appeared numbers and divide the sum by the amount of numbers. We use this when the distribution is quite

Mode: the number that appears the most

Direction

Number of peaks

Inter quartile range (IQR): We use this when the distribution is quite skewed.

Standard deviation: We use this when the distribution is quite symmetric.

Range: the difference between the maximun and the minimun

Bimodel: when there are 2 peaks

Multimodel: when there are more than 2 peaks

Unimodel: when there's only 1 peak

Skewed to the left: distribution has a long tail that extents to the left

Symmetric: the distribution has an equal form on each of its side

Skewed to the right: distribution has a long tail that extents to the right

Uniform: no peaks at all, the same height througout

Outliers are individual data that seems to be isolated (far away) from most of others. We usually call them "Potential ouliters".