fix: ignore missing tested column

src/covid-19/covid_19_utils/covid_19_utils/converters/__init__.py

@@ -87,14 +87,19 @@ class CaseConverterImpl:
         except ValueError:
             pass
 
-        df["positive_100k"] = df["positive"] / df["population"] * 100000
-        df["deceased_100k"] = df["deceased"] / df["population"] * 100000
-        df["tested_100k"] = df["tested"] / df["population"] * 100000
-
         for column in self.common_columns:
             if column not in df.columns:
                 df[column] = ""
 
+        df["positive_100k"] = df["positive"] / df["population"] * 100000
+        df["deceased_100k"] = df["deceased"] / df["population"] * 100000
+
+        # lazy solution to tested missing - todo: implement types checks for columns
+        try:
+            df["tested_100k"] = df["tested"] / df["population"] * 100000
+        except TypeError:
+            pass
+
         return df[self.common_columns]
 
     @classmethod