# Intro.

The purpose of this analyses is to discover potential patterns regarding employee's who have terminated their employment at The Department of Education, Training and Employment (DETE) and the Technical and Further Education (TAFE) insititute in Queensland, Austrlia. The insights will be used as a basis for further analyses as well as for potential recommendations for improvements to reduce employee turnover for the two institutes. For this analyses, we will be using the employee exist survey's released by the insititutes, which can be found here (TAFE) and here (DETE).

The analyses as hypothetically requested by the institutes will be mainly focused on dissatisfaction as a factor of employee turnover. As such, we'll attempt to answer the following questions:

• Are employees who only worked for the institutes for a short period of time resigning due to some kind of dissatisfaction?
• Are younger employees resigning due to some kind of dissatisfaction?
• How does dissatisfaction compare between the two institutions?

## Packages Used¶

In [2]:
import pandas as pd
import numpy as np

from matplotlib import pyplot as plt
import seaborn as sns
import plotly.offline as pyo
pyo.init_notebook_mode()
import plotly.express as px

C:\Users\garci\Anaconda3\lib\site-packages\statsmodels\tools\_testing.py:19: FutureWarning: pandas.util.testing is deprecated. Use the functions in the public API at pandas.testing instead.
import pandas.util.testing as tm