<jupyter_start><jupyter_text>top 10 countries with highest death rates<jupyter_code>sum_death_per_country=df.groupby('countriesAndTerritories').sum(['deaths'])
sum_death_per_country.nlargest(10).plot.bar()<jupyter_output><empty_output><jupyter_text>list of all countries<jupyter_code>pandas.unique(df['countriesAndTerritories'])<jupyter_output><empty_output><jupyter_text>The USA data<jupyter_code>usa_data = df.loc[df['countriesAndTerritories']== 'United_States_of_America']<jupyter_output><empty_output><jupyter_text>How the death  is related to the  case in the USA<jupyter_code>usa_data.plot.scatter(x='cases',y='deaths',c='month')<jupyter_output><empty_output>
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