From 6e938c36fb729f2bc993da37e5be7bc8505f6658 Mon Sep 17 00:00:00 2001
From: Jasleen Sondhi <jasleensondhi@gmail.com>
Date: Tue, 19 Sep 2023 21:21:14 +0530
Subject: [PATCH] fixed plot and modelling error

---
 2-Regression/4-Logistic/solution/R/lesson_4.Rmd | 6 ++++--
 1 file changed, 4 insertions(+), 2 deletions(-)

diff --git a/2-Regression/4-Logistic/solution/R/lesson_4.Rmd b/2-Regression/4-Logistic/solution/R/lesson_4.Rmd
index 16610df37..971fc56ba 100644
--- a/2-Regression/4-Logistic/solution/R/lesson_4.Rmd
+++ b/2-Regression/4-Logistic/solution/R/lesson_4.Rmd
@@ -188,10 +188,11 @@ Amazing🤩! For some of the features, there's a noticeable difference in the di
 palette <- c(ORANGE = "orange", WHITE = "wheat")
 
 # We need the encoded Item Size column to use it as the x-axis values in the plot
-pumpkins_select$item_size <- baked_pumpkins$item_size
+pumpkins_select_plot<-pumpkins_select
+pumpkins_select_plot$item_size <- baked_pumpkins$item_size
 
 # Create the grouped box plot
-ggplot(pumpkins_select, aes(x = `item_size`, y = color, fill = color)) +
+ggplot(pumpkins_select_plot, aes(x = `item_size`, y = color, fill = color)) +
   geom_boxplot() +
   facet_grid(variety ~ ., scales = "free_x") +
   scale_fill_manual(values = palette) +
@@ -296,6 +297,7 @@ wf_fit <- log_reg_wf %>%
 # Print the trained workflow
 wf_fit
 
+
 ```
 
 The model print out shows the coefficients learned during training.