import numpy
incomes = numpy.random.normal(27000, 15000, 10000)
numpy.mean(incomes)
# %matplotlib inline
import matplotlib.pyplot as pyplot
pyplot.hist(incomes, 50)
pyplot.show()
print numpy.mean(incomes) # 27066
print numpy.median(incomes) # 26820
incomes = numpy.append(incomes, [1000000000])
print numpy.mean(incomes) # 127053
print numpy.median(incomes) # 26822 |
import numpy
incomes = numpy.random.normal(27000, 15000, 10000)
numpy.mean(incomes)
# %matplotlib inline
import matplotlib.pyplot as pyplot
pyplot.hist(incomes, 50)
pyplot.show()
print numpy.mean(incomes) # 27066
print numpy.median(incomes) # 26820
incomes = numpy.append(incomes, [1000000000])
print numpy.mean(incomes) # 127053
print numpy.median(incomes) # 26822
