diff --git a/plot.py b/plot.py
index 7a511bd..48a50c6 100644
--- a/plot.py
+++ b/plot.py
@@ -13,7 +13,9 @@ def main(folder: str = "plots"):
     timestamp = timestamp.replace(":", "-")
     plot_df = create_plot_df(datetime.datetime.now(), _df_state)
     print(plot_df.sum(1))
-    fig.savefig(Path(folder) / f"digital_plot_{timestamp}.png", dpi=300, bbox_inches='tight')
+    fig.savefig(
+        Path(folder) / f"digital_plot_{timestamp}.png", dpi=300, bbox_inches="tight"
+    )
 
 
 if __name__ == "__main__":
diff --git a/regression.py b/regression.py
index 38473d7..a126175 100644
--- a/regression.py
+++ b/regression.py
@@ -10,23 +10,37 @@ import numpy as np
 import pandas as pd
 import scipy
 
-from wsgi import create_fig, create_plot_df, plot
+from wsgi import create_fig, create_plot_df, get_tables, plot
 
 
-def create_dfs():
-    last_file = sorted(Path("data").iterdir())[-1]
-    key = last_file.name[:10]
+def create_dfs(url: str = "https://beschaeftigtenbefragung.verdi.de/"):
+    try:
+        curr_datetime = datetime.datetime.now()
+        df, df_state = get_tables(url)
 
-    with (Path("data") / f"{key}_data.ods").open("rb") as ff:
-        df = pd.read_excel(ff, sheet_name="digital", index_col=0).astype(
-            {"Digitale Befragung": "Int32"}
-        )
-    with (Path("data") / f"{key}_state_data.ods").open("rb") as ff:
-        df_state = pd.read_excel(ff, sheet_name="digital", index_col=0).astype(
-            {"Digitale Befragung": "Int32"}
+        df = df.sort_values(
+            ["Digitale Befragung", "Bundesland", "Bezirk"],
+            ascending=[False, True, True],
         )
 
-    plot_df = create_plot_df(None, None)
+        df_state = df_state.sort_values("Landesbezirk")
+        plot_df = create_plot_df(curr_datetime, df_state)
+
+    except Exception as e:
+        print(e)
+        last_file = sorted(Path("data").iterdir())[-1]
+        key = last_file.name[:10]
+
+        with (Path("data") / f"{key}_data.ods").open("rb") as ff:
+            df = pd.read_excel(ff, sheet_name="digital", index_col=0).astype(
+                {"Digitale Befragung": "Int32"}
+            )
+        with (Path("data") / f"{key}_state_data.ods").open("rb") as ff:
+            df_state = pd.read_excel(ff, sheet_name="digital", index_col=0).astype(
+                {"Digitale Befragung": "Int32"}
+            )
+
+        plot_df = create_plot_df(None, None)
 
     return df, df_state, plot_df
 
@@ -108,7 +122,7 @@ def main():
 
     plt.gca().set_xticks([target_time])
     plt.title("Projektion Teilnahme an Digitaler Beschäftigtenbefragung")
-    plt.savefig("plots/regression.png", bbox_inches='tight', dpi=300)
+    plt.savefig("plots/regression.png", bbox_inches="tight", dpi=300)
 
 
 if __name__ == "__main__":
diff --git a/wsgi.py b/wsgi.py
index 5af1f53..6676358 100644
--- a/wsgi.py
+++ b/wsgi.py
@@ -111,7 +111,7 @@ def plot(
     alpha: float | None = None,
     landesbez_str: str | None = None,
     fix_lims: bool = True,
-    max_shading_date = None,
+    max_shading_date=None,
 ) -> str:
     fig = plt.figure(dpi=300)