<gh_stars>1-10
import numpy
import matplotlib.pyplot as plt

# Create an array containing 894 numbers between 0.1 and 4.8
rand = numpy.random.uniform(0.1, 4.8, 894)
print(rand)

# Histogram
#plt.hist(rand, 4)
# plt.show()

# Big Data Distribution
x = numpy.random.uniform(2.8, 6.1, 196412)
plt.hist(x, 1000)
plt.show()

import numpy
import matplotlib.pyplot as plt

# Create an array containing 894 numbers between 0.1 and 4.8
rand = numpy.random.uniform(0.1, 4.8, 894)
print(rand)

# Histogram
#plt.hist(rand, 4)
# plt.show()

# Big Data Distribution
x = numpy.random.uniform(2.8, 6.1, 196412)
plt.hist(x, 1000)
plt.show()
# Create an array containing 894 numbers between 0.1 and 4.8 # Histogram #plt.hist(rand, 4) # plt.show() # Big Data Distribution