diff --git a/Analyser.py b/Analyser.py
index 2868be1..fac43d5 100644
--- a/Analyser.py
+++ b/Analyser.py
@@ -32,24 +32,71 @@ class Analyser:
 
 	df = pd.read_csv('2020-03-28_11-00.csv', encoding='windows-1252')
 	df['dateRep'] = pd.to_datetime(df['dateRep'])
-	print(df['dateRep'].head())
 
 	def getAvailableCountries(self):
 		return self.df['countriesAndTerritories'].unique()
 
-	def getCasesGraph(self, country) -> str:
+	def getCasesGraph(self, country, start_date='2019-12-31', end_date=datetime.now().strftime('%Y-%m-%d')) -> str:
 		"""
 		Get a graph with the absolute number of cases by day for the entered country
 		:param country: The country you wish to get the graph for
 		:return: The path for the picture of the graph
 		"""
-		fig = plt.figure()
-		ax = fig.add_subplot(111)
+		if country in self.getAvailableCountries():
+			fig = plt.figure()
+			ax = fig.add_subplot(111)
 
-		countryData = self.df[self.df['countriesAndTerritories'].isin([country])]
-		print(countryData['cases'].sum())
+			# casesPerDayDict = {}
+			# for date in self.df['dateRep']:
+			# 	casesPerDayDict[date] = self.getTotalCases(country, date)
 
-		return 'abc'
+			countryData = self.df[self.df['countriesAndTerritories'].isin([country])]
+			mask = (countryData['dateRep'] > start_date) & (countryData['dateRep'] <= end_date)
+			countryTimeData = countryData.loc[mask]
+			countryTimeData = countryTimeData.sort_values('dateRep')
+			countryTimeData['cases'] = countryTimeData['cases'].cumsum()
+
+			print(countryTimeData.head())
+
+			countryTimeData.plot(ax=ax, x='dateRep', y='cases')
+
+			plt.show(block=True)
+
+			# TODO Change return
+			return 'abc'
+		else:
+			print('Unknown country')
+			# TODO Change return
+			return 'abc'
+
+	def getCaseIncreaseGraph(self, country):
+		"""
+		Get a graph with the daily increase number of cases for the entered country
+		:param country: The country you wish to get the graph for
+		:return: The path for the picture of the graph
+		"""
+		if country in self.getAvailableCountries():
+			fig = plt.figure()
+			ax = fig.add_subplot(111)
+
+			# casesPerDayDict = {}
+			# for date in self.df['dateRep']:
+			# 	casesPerDayDict[date] = self.getTotalCases(country, date)
+
+			countryData = self.df[self.df['countriesAndTerritories'].isin([country])]
+			mask = (countryData['dateRep'] <= datetime.now().strftime('%Y-%m-%d'))
+			countryTimeData = countryData.loc[mask]
+
+			countryTimeData.plot(ax=ax, x='dateRep', y='cases')
+
+			plt.show(block=True)
+
+			# TODO Change return
+			return 'abc'
+		else:
+			print('Unknown country')
+			# TODO Change return
+			return 'abc'
 
 	def getTotalCases(self, country, date=datetime.now().strftime('%Y-%m-%d')) -> int:
 		"""
diff --git a/Main.py b/Main.py
index e7ac1f3..27cde52 100644
--- a/Main.py
+++ b/Main.py
@@ -10,4 +10,4 @@ import Analyser as ana
 if __name__ == '__main__':
 	analyser = ana.Analyser()
 	country = input('What country do you want the graph for: ')
-	print(analyser.getTotalCases(country, '2020-03-28'))
+	analyser.getCasesGraph(country, start_date='2020-02-14')