<jupyter_start><jupyter_text>unfortinatly people who dead more than who lived<jupyter_code>sns.distplot(df['age'],kde=False , color='m',bins=30)<jupyter_output><empty_output><jupyter_text>from age analysis we notice that most peopel in the ship are youngers between 20 and 32<jupyter_code>sns.distplot(df['fare'],kde=False , color='m',bins=30)<jupyter_output><empty_output><jupyter_text>most fare under 100<jupyter_code>sns.jointplot(y='survived', x='age', data=df)<jupyter_output><empty_output><jupyter_text>WE notice that people who survived have more lower age  than people who deadwe also notice that the only 80 years old person in the ship is dead<jupyter_code>sns.countplot(x='sex', data=df, palette='mako')
sns.countplot(x='class', data=df, palette='mako', hue='sex')<jupyter_output><empty_output><jupyter_text>more people took third-class ticket and male more than female as we noticed before .<jupyter_code>sns.countplot(x='who', data=df, palette='mako')
sns.countplot(x='embark_town', data=df, palette='mako', hue='sex')<jupyter_output><empty_output><jupyter_text>Southampton city has the biggest number<jupyter_code>sns.countplot(x='alive', data=df, palette='mako', hue='sex')
sns.countplot(x='alone', data=df, palette='mako', hue='sex')
sns.boxplot(x='sex', y='age', data=df, hue='alive', palette='mako')
sns.boxplot(x='alive', y='age', data=df, hue='sex', palette='mako')
df

fig, axes = plt.subplots(1, 2, figsize=(15, 7))
fig.suptitle('2 Box Plots')
sns.boxplot(ax=axes[0], x='survived', y='age', data=df, palette='mako', hue='sex')
sns.boxplot(ax=axes[1], x='age', y='class', data=df, palette='mako', hue='sex')
sns.swarmplot(x='survived', y='age', hue='sex', data=df, palette='rocket', dodge=True)<jupyter_output>C:\New folder\lib\site-packages\seaborn\categorical.py:1326: RuntimeWarning: invalid value encountered in less
  off_low = points < low_gutter
C:\New folder\lib\site-packages\seaborn\categorical.py:1330: RuntimeWarning: invalid value encountered in greater
  off_high = points > high_gutter
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