Since H1 Visas & immigration seems to be the hot topic making buzz now, Lets learn how do they arrive at median median for US workers and H1B workers , Will be using Python for the purpose

We need numpy

if you have python installed on your computer all you need is

sudo apt get pip

pip install numpy

**What is Mean, Median and Mode**

**Mean**

Lets say we have 5 H1B workers earning 60000, 70000, 90000,12000,150000

We represent these data in what we call lists in python

H1B=[60000, 70000, 90000,12000,150000]

Mean = Sum of salaries of all H1B employees / # of employees

Mean = (60000 + 70000 + 90000 +12000 + 150000) / 5

Python code using numpy

# H1 visa mean income

import numpy as np

salary=[60000, 70000, 90000,12000,150000]

np.mean(salary)

**Mode **

most common value in dataset

H1B=[60000, 70000, 90000,12000,150000,60000]

Each value

60000:2

70000:1

90000:1

12000:1

150000:1

Mode = 60000

Lets generate some random H1B employee salaries with minimum base salary of $60000 and maximum of $200000 ( As per 2015 data only 5% of H1B make tier 4 wage which is above 150000)

# H1 visa lottery pick for ppl with 60K-200K base salaries

import numpy as np

import numpy as np

h1b_salary = np.random.randint(60000,high=200000,size=20000)

print h1b_salary

print h1b_salary

Untitled

Lets compute mode

from scipy import stats

stats.mode(h1b_salary)

stats.mode(h1b_salary)

what next

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