In Python, the
pyplot.hist() function in the Matplotlib pyplot library can be used to plot a histogram. The function accepts a NumPy array, the range of the dataset, and the number of bins as input.
import numpy as npfrom matplotlib import pyplot as plt# numpy arraydata_array = np.array([1,1,1,1,1,2,3,3,3,4,4,5,5,6,7])# plot histogramplt.hist(data_array, range = (1,7), bins = 7)
The mean, or average, of a dataset is calculated by adding all the values in the dataset and then dividing by the number of values in the set.
For example, for the dataset
[1,2,3], the mean is
In a histogram, the range of the data is divided into sub-ranges represented by bins. The width of the bin is calculated by dividing the range of the dataset by the number of bins, giving each bin in a histogram the same width.
A Histogram is a plot that displays the spread, or distribution of a dataset. In a histogram, the data is split into intervals, called bins. Each bin shows the number of data points that are contained within that bin.
In a histogram, the bin count is the number of data points that fall within the bin’s range.
A histogram is a graphical representation of the distribution of numerical data. In a histogram, the bin ranges are on the x-axis and the counts are on the y-axis.