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4 years ago

We would be analysing the H1-B visa dataset provided by Kaggle.The H-1B is a visa in the United States that allows U.S. employers to temporarily employ foreign workers in specialty occupations. If a citizen of any nation(other than the United States) wants to work in the United States, they need to have a H1-B visa permit.

# This Python 3 environment comes with many helpful analytics libraries installed
# It is defined by the kaggle/python Docker image: https://github.com/kaggle/docker-python
# For example, here's several helpful packages to load

import numpy as np # linear algebra
import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)


# Input data files are available in the read-only "../input/" directory
# For example, running this (by clicking run or pressing Shift+Enter) will list all files under the input directory

import os
for dirname, _, filenames in os.walk('/kaggle/input'):
    for filename in filenames:
        print(os.path.join(dirname, filename))

# You can write up to 5GB to the current directory (/kaggle/working/) that gets preserved as output when you create a version using "Save & Run All" 
# You can also write temporary files to /kaggle/temp/, but they won't be saved outside of the current session
/kaggle/input/h-1b-visa/h1b_kaggle.csv 
!pip install jovian --upgrade -q
import jovian
import matplotlib.pyplot as plt
from matplotlib import pyplot
import seaborn as sns

We import the file and have a look at it's data.

df = pd.read_csv("/kaggle/input/h-1b-visa/h1b_kaggle.csv")
df.head()