diff --git a/popcorn.py b/popcorn.py
index 826082c..3634939 100644
--- a/popcorn.py
+++ b/popcorn.py
@@ -118,7 +118,9 @@ def _():
             .str.to_date()
             .alias("date")
         )
-        .select("date", pl.col("Packages").struct.unnest())
+    )
+    df_pkg_lazy = (
+        df_lazy.select("date", pl.col("Packages").struct.unnest())
         .fill_null(0)
         .unpivot(index="date", variable_name="package", value_name="downloads")
     )
@@ -126,10 +128,10 @@ def _():
 
 
 @app.cell
-def _(df_lazy: pl.LazyFrame):
+def _(df_pkg_lazy: pl.LazyFrame):
     def _():
         weekly_downloads = (
-            df_lazy.sort("date")
+            df_pkg_lazy.sort("date")
             .group_by_dynamic("date", every="1w")
             .agg(pl.col("downloads").sum())
             .sort("date")
@@ -149,10 +151,10 @@ def _(df_lazy: pl.LazyFrame):
 
 
 @app.cell
-def _(df_lazy: pl.LazyFrame):
+def _(df_pkg_lazy: pl.LazyFrame):
     def _():
         weekday_downloads = (
-            df_lazy.sort("date")
+            df_pkg_lazy.sort("date")
             .with_columns(
                 pl.col("date")
                 .dt.weekday()
@@ -187,10 +189,10 @@ def _(df_lazy: pl.LazyFrame):
 
 
 @app.cell
-def _(df_lazy: pl.LazyFrame):
+def _(df_pkg_lazy: pl.LazyFrame):
     def _():
         month_agg_downloads = (
-            df_lazy.sort("date")
+            df_pkg_lazy.sort("date")
             .with_columns(pl.col("date").dt.month().alias("month"))
             .collect()
         )
@@ -208,19 +210,8 @@ def _(df_lazy: pl.LazyFrame):
 
 
 @app.cell
-def _():
-    df_unique_downloads = (
-        pl.scan_ndjson("data/daily/*", include_file_paths="file")
-        .head(LIMIT_ROWS)  # FIXME: take out after debug
-        .with_columns(
-            pl.col("file")
-            .str.replace(r"data/daily/(\d{4}-\d{2}-\d{2}).json", "${1}")
-            .str.to_date()
-            .alias("date")
-        )
-        .select(["date", "UniqueInstalls"])
-        .collect()
-    )
+def _(df_lazy:pl.LazyFrame):
+    df_unique_downloads = df_lazy.select(["date", "UniqueInstalls"]).collect()
     (
         lp.ggplot(df_unique_downloads, lp.aes("date", "UniqueInstalls"))
         + lp.geom_line()