diff --git a/Analyser.py b/Analyser.py
index 38a0914..42d4f5d 100644
--- a/Analyser.py
+++ b/Analyser.py
@@ -66,11 +66,12 @@ class Analyser:
 			countryData = self.df[self.df['countriesAndTerritories'].isin([country])]
 			countryData = countryData.sort_values('dateRep')
 			countryData['totalCases'] = countryData['cases'].cumsum()
+			countryData['7-Day-Mean'] = countryData['totalCases'].rolling(7).mean()
 			mask = (countryData['dateRep'] >= start_date) & (countryData['dateRep'] <= end_date)
 			countryTimeData = countryData.loc[mask]
 
-
 			countryTimeData.plot(ax=ax, x='dateRep', y='totalCases')
+			countryTimeData.plot(ax=ax, x='dateRep', y='7-Day-Mean')
 
 			if showPlot:
 				plt.show(block=True)
@@ -100,10 +101,13 @@ class Analyser:
 			plt.title(('Daily new cases in ' + country))
 
 			countryData = self.df[self.df['countriesAndTerritories'].isin([country])]
+			countryData = countryData.sort_values('dateRep')
+			countryData['7-Day-Mean'] = countryData['cases'].rolling(7).mean()
 			mask = (countryData['dateRep'] >= start_date) & (countryData['dateRep'] <= end_date)
 			countryTimeData = countryData.loc[mask]
 
 			countryTimeData.plot(ax=ax, x='dateRep', y='cases')
+			countryTimeData.plot(ax=ax, x='dateRep', y='7-Day-Mean')
 
 			if showPlot:
 				plt.show(block=True)
@@ -147,11 +151,12 @@ class Analyser:
 			countryData = self.df[self.df['countriesAndTerritories'].isin([country])]
 			countryData = countryData.sort_values('dateRep')
 			countryData['totalDeaths'] = countryData['deaths'].cumsum()
+			countryData['7-Day-Mean'] = countryData['totalDeaths'].rolling(7).mean()
 			mask = (countryData['dateRep'] >= start_date) & (countryData['dateRep'] <= end_date)
 			countryTimeData = countryData.loc[mask]
 
-
 			countryTimeData.plot(ax=ax, x='dateRep', y='totalDeaths')
+			countryTimeData.plot(ax=ax, x='dateRep', y='7-Day-Mean')
 
 			if showPlot:
 				plt.show(block=True)
@@ -181,10 +186,13 @@ class Analyser:
 			plt.title(('Daily new deaths in ' + country))
 
 			countryData = self.df[self.df['countriesAndTerritories'].isin([country])]
+			countryData = countryData.sort_values('dateRep')
+			countryData['7-Day-Mean'] = countryData['deaths'].rolling(7).mean()
 			mask = (countryData['dateRep'] >= start_date) & (countryData['dateRep'] <= end_date)
 			countryTimeData = countryData.loc[mask]
 
 			countryTimeData.plot(ax=ax, x='dateRep', y='deaths')
+			countryTimeData.plot(ax=ax, x='dateRep', y='7-Day-Mean')
 
 			if showPlot:
 				plt.show(block=True)
@@ -230,11 +238,12 @@ class Analyser:
 			countryData['totalCases'] = countryData['cases'].cumsum()
 			countryData['totalDeaths'] = countryData['deaths'].cumsum()
 			countryData['deathRate'] = countryData['totalDeaths'] / countryData['totalCases'] * 100
+			countryData['7-Day-Mean'] = countryData['deathRate'].rolling(7).mean()
 			mask = (countryData['dateRep'] >= start_date) & (countryData['dateRep'] <= end_date)
 			countryTimeData = countryData.loc[mask]
 
-
 			countryTimeData.plot(ax=ax, x='dateRep', y='deathRate')
+			countryTimeData.plot(ax=ax, x='dateRep', y='7-Day-Mean')
 
 			if showPlot:
 				plt.show(block=True)
@@ -303,10 +312,12 @@ class Analyser:
 		countryData = countryData.sort_values('dateRep')
 		countryData['totalCases'] = countryData['cases'].cumsum()
 		countryData['increasePercentage'] = countryData['cases'] / countryData['totalCases'] * 100
+		countryData['7-Day-Mean'] = countryData['increasePercentage'].rolling(7).mean()
 		mask = (countryData['dateRep'] >= start_date) & (countryData['dateRep'] <= end_date)
 		countryTimeData = countryData.loc[mask]
 
 		countryTimeData.plot(ax=ax, x='dateRep', y='increasePercentage')
+		countryTimeData.plot(ax=ax, x='dateRep', y='7-Day-Mean')
 
 		if showPlot:
 			plt.show(block=True)