<jupyter_start><jupyter_text>What is the meaning of the output?    Answer To show graph of information        What is the different between positive and negative numbers?    Answer negative mean it decrease        What features affect our target variable the most (turnover)?    Answer everything        What features have strong correlations with each other?    Answer turnover<jupyter_code>f, ax = plt.subplots(figsize=(15, 4))
sns.countplot(y="salary", hue='turnover', data=df).set_title('Employee Salary Turnover Distribution')
f, ax = plt.subplots(figsize=(15, 5))
sns.countplot(y="department", hue='turnover', data=df).set_title('Employee Department Turnover Distribution')
ax = sns.barplot(x="projectCount", y="projectCount", hue="turnover", data=df, estimator=lambda x: len(x) / len(df) *100)
ax.set(ylabel="Percent")
fig = plt.figure(figsize=(15,4),)
ax=sns.kdeplot(df.loc[(df['turnover'] == 0),'evaluation'] ,
color='b',shade=True,label='no turnover')
ax=sns.kdeplot(df.loc[(df['turnover'] == 1),'evaluation'] ,
color='r',shade=True, label='turnover')
ax.set(xlabel='Employee Evaluation', ylabel='Frequency')
plt.title('Employee Evaluation Distribution - Turnover V.S. No Turnover')<jupyter_output><empty_output>
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