# 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)
import matplotlib.pyplot as plt

# 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 20GB 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
df = pd.read_csv("../input/h1b-visa-petitions-20152019/h1b_disclosure_data_2015_2019.csv")
df.drop("CASE_NUMBER",1,inplace=True)
df.head()
plt.figure(figsize = (10,10))
df.JOB_TITLE.value_counts()[:20].plot(kind='barh').invert_yaxis()
plt.figure(figsize = (10,10))
df.EMPLOYER_NAME.value_counts()[:20].plot(kind='barh').invert_yaxis()
plt.figure(figsize = (10,10))
df.WORKSITE_STATE_FULL.value_counts()[:50].plot(kind='barh').invert_yaxis()
"""
## Q1: Is Programmer Analyst Job highest across all the years?
"""
df.YEAR.value_counts()
plt.figure(figsize = (10,10))
df[df.YEAR == 2015].JOB_TITLE.value_counts()[:10].plot(kind='barh').invert_yaxis()
plt.figure(figsize = (10,10))
df[df.YEAR == 2016].JOB_TITLE.value_counts()[:10].plot(kind='barh').invert_yaxis()
plt.figure(figsize = (10,10))
df[df.YEAR == 2017].JOB_TITLE.value_counts()[:10].plot(kind='barh').invert_yaxis()
plt.figure(figsize = (10,10))
df[df.YEAR == 2018].JOB_TITLE.value_counts()[:10].plot(kind='barh').invert_yaxis()
plt.figure(figsize = (10,10))
df[df.YEAR == 2019].JOB_TITLE.value_counts()[:10].plot(kind='barh').invert_yaxis()
"""
Q1 Answer: For 2018-19 Software developer jobs have beaten Programmer analyst applicants.
"""