<jupyter_start><jupyter_text>Analysis of Age group 18 to 24<jupyter_code>df_age_grp_18_24=df[df['Age Group']=='18-24']
df_age_grp_18_24.shape
df_age_grp_18_24.head(13)
df_age_grp_18_24['Brand'].unique()
df_Brand = df_age_grp_18_24.pivot_table(index=['Brand'],
                                  values='Rank',
                                  )
df_Brand.plot(kind='bar', figsize=(8,6))
plt.ylabel('Rank')
plt.title('Brand');<jupyter_output><empty_output><jupyter_text>Analysis of Age group 35 to 44<jupyter_code>df_age_grp_35_44=df[df['Age Group']=='35-44']
df_age_grp_35_44.shape
df_age_grp_35_44.head(13)
df_age_grp_35_44['Brand'].unique()
df_Brand = df_age_grp_35_44.pivot_table(index=['Brand'],
                                  values='Rank',
                                  )
df_Brand.plot(kind='bar', figsize=(8,6))
plt.ylabel('Rank')
plt.title('Brand');<jupyter_output><empty_output><jupyter_text>Analysis of Age group 65+<jupyter_code>df_age_grp_65=df[df['Age Group']=='65+']
df_age_grp_65.shape
df_age_grp_65.head(13)
df_age_grp_65['Brand'].unique()
df_Brand = df_age_grp_35_44.pivot_table(index=['Brand'],
                                  values='Rank',
                                  )
df_Brand.plot(kind='bar', figsize=(8,6))
plt.ylabel('Rank')
plt.title('Brand');<jupyter_output><empty_output>
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