I wanted to color the region between the min and the max lines for NoChange and WithChange group but somehow managed to color more than I needed to.

Can anyone show me where it went wrong? Thank you

```
library(tidyverse)
dat <- data.frame(
stringsAsFactors = FALSE,
Year = c(2010,2010,2010,2030,2030,2030,
2010,2010,2010,2030,2030,2030),
Solution = c("NoChange","NoChange","NoChange",
"NoChange","NoChange","NoChange",
"WithChange","WithChange","WithChange",
"WithChange","WithChange",
"WithChange"),
Level = c("NoChange_Max","NoChange_Min",
"NoChange_Avg","NoChange_Max",
"NoChange_Min","NoChange_Avg","WithChange_Max",
"WithChange_Min","WithChange_Avg",
"WithChange_Max","WithChange_Min",
"WithChange_Avg"),
Price = c(19,19,19,36,19,24,19,19,19,
69,50,63)
)
dat
#> Year Solution Level Price
#> 1 2010 NoChange NoChange_Max 19
#> 2 2010 NoChange NoChange_Min 19
#> 3 2010 NoChange NoChange_Avg 19
#> 4 2030 NoChange NoChange_Max 36
#> 5 2030 NoChange NoChange_Min 19
#> 6 2030 NoChange NoChange_Avg 24
#> 7 2010 WithChange WithChange_Max 19
#> 8 2010 WithChange WithChange_Min 19
#> 9 2010 WithChange WithChange_Avg 19
#> 10 2030 WithChange WithChange_Max 69
#> 11 2030 WithChange WithChange_Min 50
#> 12 2030 WithChange WithChange_Avg 63
```

Create the Min and Max columns

```
dat <- dat %>%
group_by(Level) %>%
mutate(Min = min(Price, na.rm = TRUE),
Max = max(Price, na.rm = TRUE))
price_change1 <- ggplot(dat %>% filter(!str_detect(Level, "Avg")),
aes(x = Year, y = Price, color = Level)) +
geom_line(size = 0.75)
price_change1
```

```
price_change2 <- price_change1 +
geom_ribbon(data = dat %>% filter(Level != "NoChange_Avg") %>% filter(Solution == "NoChange"),
aes(x = Year, ymin = Min, ymax = Max),
inherit.aes = FALSE,
fill = "darkblue", alpha = 0.5) +
geom_ribbon(data = dat %>% filter(Level != "NoChange_Avg") %>% filter(Solution == "WithChange"),
aes(x = Year, ymin = Min, ymax = Max),
inherit.aes = FALSE,
fill = "turquoise", alpha = 0.5)
price_change2
```