diff --git a/popcorn.py b/popcorn.py
index 2a1c68e..e1dd707 100644
--- a/popcorn.py
+++ b/popcorn.py
@@ -129,20 +129,58 @@ def _():
 
 @app.cell
 def _(df: pl.DataFrame):
-    weekly_downloads = (
-        df.sort("date")
-        .group_by_dynamic("date", every="1w")
-        .agg(pl.col("downloads").sum())
-        .sort("date")
-    )
-    (
-        lp.ggplot(weekly_downloads, lp.aes("date", "downloads"))
-        + lp.geom_line()
-        + lp.geom_smooth(method="loess")
-        + lp.labs(
-            title="Weekly downloads",
+    def _():
+        weekly_downloads = (
+            df.sort("date")
+            .group_by_dynamic("date", every="1w")
+            .agg(pl.col("downloads").sum())
+            .sort("date")
         )
-    )
+
+        return (
+            lp.ggplot(weekly_downloads, lp.aes("date", "downloads"))
+            + lp.geom_line()
+            + lp.geom_smooth(method="loess")
+            + lp.labs(
+                title="Weekly downloads",
+            )
+        )
+
+    _()
+    return
+
+
+@app.cell
+def _(df: pl.DataFrame):
+    def _():
+        weekday_downloads = df.sort("date").with_columns(
+            pl.col("date")
+            .dt.weekday()
+            .sort()
+            .replace_strict(
+                {
+                    1: "Mon",
+                    2: "Tue",
+                    3: "Wed",
+                    4: "Thu",
+                    5: "Fri",
+                    6: "Sat",
+                    7: "Sun",
+                }
+            )
+            .alias("weekday")
+        )
+
+        return (
+            lp.ggplot(weekday_downloads, lp.aes("weekday", "downloads"))
+            + lp.geom_bar()
+            + lp.labs(
+                title="Weekday downloads",
+                caption="Downloads aggregated per day of the week they took place.",
+            )
+        )
+
+    _()
     return
 
 
@@ -193,7 +231,6 @@ def _(sizes_df):
 # further ideas:
 #
 # - daily download habits:
-#   - which weekday has most downloads?
 #   - are we downloading further spread of versions on specific days
 #   - are there 'update' days, where things converge? specific weekday/on holidays/etc?
 #