diff --git a/basics.py b/basics.py
new file mode 100644
index 0000000..f3b31ad
--- /dev/null
+++ b/basics.py
@@ -0,0 +1,38 @@
+"""
+Plot total cases of countries over time on log scale
+"""
+import matplotlib.pyplot as pp
+
+def plot(data, countries):
+
+    for loc in data:
+        if loc not in countries:
+            continue
+        time, new_cases, new_deaths, total_cases, total_deaths = data[loc]
+        
+        # total cases
+        pp.figure("total_cases")
+        pp.plot(time, total_cases, label=f"{loc}")
+
+        # total deaths
+        pp.figure("total_deaths")
+        pp.plot(time, total_deaths, label=f"{loc}")
+
+        # new cases
+        pp.figure("new_cases")
+        pp.plot(time, new_cases, label=f"{loc}")
+
+        # new deaths
+        pp.figure("new_deaths")
+        pp.plot(time, new_deaths, label=f"{loc}")
+
+    for name in ["total_cases", "total_deaths", "new_cases", "new_deaths"]:
+        postprocess(name)
+
+def postprocess(name):
+    pp.yscale("log")
+    pp.xticks(rotation=90)
+    pp.legend(frameon=False)
+    pp.tight_layout()
+
+    pp.savefig(f"{name}.png")
diff --git a/coronavis.py b/coronavis.py
index 70a1c81..168e652 100644
--- a/coronavis.py
+++ b/coronavis.py
@@ -14,7 +14,7 @@ sys.path.append(".")
 # countries of interest
 countries = ["Germany", "Italy", "Spain", "Denmark", "China", "Japan", "South Korea", "Iran", "Belgium", "World"]
 # enabled plots
-plots = ["total_cases", "death_per_case", "normalized_to_first_death"]
+plots = ["basics", "death_per_case", "normalized_to_first_death"]
 ###
 def get_data():
     """fetch data from remote, cache locally and reorganize internal data
diff --git a/total_cases.py b/total_cases.py
deleted file mode 100644
index 4d1eeb0..0000000
--- a/total_cases.py
+++ /dev/null
@@ -1,23 +0,0 @@
-"""
-Plot total cases of countries over time on log scale
-"""
-import matplotlib.pyplot as pp
-name="total_cases"
-
-def plot(data, countries):
-
-    for loc in data:
-        if loc not in countries:
-            continue
-        time, new_cases, new_deaths, total_cases, total_deaths = data[loc]
-        
-        # total cases
-        pp.figure(name)
-        pp.plot(time, total_cases, label=f"{loc}")
-
-    pp.yscale("log")
-    pp.xticks(rotation=90)
-    pp.legend(frameon=False)
-    pp.tight_layout()
-
-    pp.savefig(name+".png")