<jupyter_start><jupyter_text>Sierra Leone df_Sierra_Leone<jupyter_code>plt.figure(figsize=(15,6))
plt.ylabel('Count')
plt.xlabel('Administrated Region')
sns.set_style('white')
plt.title('Relation Between Administrated Regions in Serra Leoa and Number of Acutecases of Lassa Fever')
sns.countplot(x='Admin_region', data=df_Sierra_Leone)


plt.figure(figsize=(12,8))
plt.ylabel('Year of end')
plt.xlabel('Year of Start')
sns.lineplot(x=df_Sierra_Leone['Year_start'],
            y=df_Sierra_Leone['Year_end'])
plt.figure(figsize=(12,8))
sns.kdeplot(df_Sierra_Leone['Acute_cases'])
sns.rugplot(df_Sierra_Leone['Acute_cases'])
sns.set_context("paper")
plt.figure(figsize=(12,8))
sns.boxplot(x='Country', y='Acute_cases', data=df_Sierra_Leone)
plt.figure(figsize=(12,8))
sns.distplot(df_Sierra_Leone['Acute_cases'], bins=50)
plt.figure(figsize=(12,8))
sns.jointplot(x='Year_start', y='Acute_cases', data=df_Sierra_Leone, kind='hex')
plt.figure(figsize=(12,8))
sns.stripplot(x='Year_start', y='Acute_cases', data=df_Sierra_Leone, jitter=True)
plt.figure(figsize=(12,8))
sns.jointplot(x='Year_start', y='Year_end', data=df_Sierra_Leone, kind='hex')
plt.figure(figsize=(12,8))
sns.swarmplot(x='Year_start', y='Acute_cases', data=df_Sierra_Leone, color='black')
sns.violinplot(x='Year_start', y='Acute_cases', data=df_Sierra_Leone,)
df1 = pd.DataFrame(df_Sierra_Leone.groupby('Admin_region').sum()['Acute_cases'])

df1.reset_index(inplace=True)

df1
plt.figure(figsize=(25,10))
sns.barplot(x=df1['Admin_region'], y=df1['Acute_cases'], data=df1, palette="deep")
df2 = pd.DataFrame(df_Sierra_Leone.groupby('Year_start').sum()['Acute_cases'])

df2.reset_index(inplace=True)

df2
plt.figure(figsize=(12,8))
sns.lineplot(x=df2['Year_start'], y=df2['Acute_cases'])
plt.figure(figsize=(12,8))
sns.jointplot(x='Year_start', y='Acute_cases', data=df2, kind='reg')
df3 = pd.DataFrame(df_Sierra_Leone.groupby('Year_end').sum()['Acute_cases'])

df3.reset_index(inplace=True)

df3
plt.figure(figsize=(12,8))
sns.lineplot(x=df3['Year_end'], y=df3['Acute_cases'])
plt.figure(figsize=(12,8))
sns.jointplot(x='Year_end', y='Acute_cases', data=df4, kind='reg')
df4 = pd.DataFrame(df_Sierra_Leone.groupby('Town').sum()['Acute_cases'])

df4.reset_index(inplace=True)

df4
plt.figure(figsize=(25,10))
sns.barplot(x=df4['Town'], y=df4['Acute_cases'], data=df4, palette="deep")<jupyter_output><empty_output><jupyter_text>Nigeria<jupyter_code>df_Nigeria = df_Acute[df_Acute['Country']=='Nigeria']
df_Nigeria.head()
df_Guinea = df_Acute[df_Acute['Country']=='Guinea']
df_Guinea.head()
df_Liberia  = df_Acute[df_Acute['Country']=='Liberia']
df_Liberia.head()
df_Ghana  = df_Acute[df_Acute['Country']=='Ghana']
df_Ghana
df_Mali  = df_Acute[df_Acute['Country']=='Mali']
df_Mali
df_Cote_dIvoire  = df_Acute[df_Acute['Country']=="Cote d'Ivoire"]
df_Cote_dIvoire
df_Benin  = df_Acute[df_Acute['Country']=="Benin"]
df_Benin
df_Burkina_Faso  = df_Acute[df_Acute['Country']=="Burkina Faso"]
df_Burkina_Faso<jupyter_output><empty_output>
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