diff --git a/Analyser.py b/Analyser.py
index 05c156b..38a0914 100644
--- a/Analyser.py
+++ b/Analyser.py
@@ -64,10 +64,11 @@ class Analyser:
 			plt.title(('Total cases in ' + country))
 
 			countryData = self.df[self.df['countriesAndTerritories'].isin([country])]
+			countryData = countryData.sort_values('dateRep')
+			countryData['totalCases'] = countryData['cases'].cumsum()
 			mask = (countryData['dateRep'] >= start_date) & (countryData['dateRep'] <= end_date)
 			countryTimeData = countryData.loc[mask]
-			countryTimeData = countryTimeData.sort_values('dateRep')
-			countryTimeData['totalCases'] = countryTimeData['cases'].cumsum()
+
 
 			countryTimeData.plot(ax=ax, x='dateRep', y='totalCases')
 
@@ -144,10 +145,11 @@ class Analyser:
 			plt.title(('Total deaths in ' + country))
 
 			countryData = self.df[self.df['countriesAndTerritories'].isin([country])]
+			countryData = countryData.sort_values('dateRep')
+			countryData['totalDeaths'] = countryData['deaths'].cumsum()
 			mask = (countryData['dateRep'] >= start_date) & (countryData['dateRep'] <= end_date)
 			countryTimeData = countryData.loc[mask]
-			countryTimeData = countryTimeData.sort_values('dateRep')
-			countryTimeData['totalDeaths'] = countryTimeData['deaths'].cumsum()
+
 
 			countryTimeData.plot(ax=ax, x='dateRep', y='totalDeaths')
 
@@ -224,12 +226,13 @@ class Analyser:
 			plt.title(('Daily death rate in ' + country) + ' in %')
 
 			countryData = self.df[self.df['countriesAndTerritories'].isin([country])]
+			countryData = countryData.sort_values('dateRep')
+			countryData['totalCases'] = countryData['cases'].cumsum()
+			countryData['totalDeaths'] = countryData['deaths'].cumsum()
+			countryData['deathRate'] = countryData['totalDeaths'] / countryData['totalCases'] * 100
 			mask = (countryData['dateRep'] >= start_date) & (countryData['dateRep'] <= end_date)
 			countryTimeData = countryData.loc[mask]
-			countryTimeData = countryTimeData.sort_values('dateRep')
-			countryTimeData['totalCases'] = countryTimeData['cases'].cumsum()
-			countryTimeData['totalDeaths'] = countryTimeData['deaths'].cumsum()
-			countryTimeData['deathRate'] = countryTimeData['totalDeaths'] / countryTimeData['totalCases'] * 100
+
 
 			countryTimeData.plot(ax=ax, x='dateRep', y='deathRate')