The data depicted in these datasets come from Kushy App, an open source application and data for the cannabis industry. It records and gauges the popularity of cannabis products, strains and brands. More information about the data can be found at https://github.com/kushyapp/cannabis-dataset
Additional links or sources…
<- labs(
labs_bar title = "Top 25 Cannabis Categories",
x = "count", y = "category")
<- ggplot(data = top_cat,
ggp2_bar aes(x = n,
y = forcats::fct_reorder(
+
category, n))) geom_col(aes(fill= category),
show.legend = FALSE,
stat="count")
+
ggp2_bar labs_bar
<- labs(
labs_col title = "Top Cannabis Flavors",
x = "count", y = "flavor",
fill = "flavor")
%>%
strains_raw filter(!is.na(flavor)) %>%
count(flavor, sort= TRUE) %>%
head(20) %>%
ggplot(data = .,
aes(x = n,
y = fct_reorder(
.f = as.factor(flavor),
.x = n))) +
geom_col(aes(fill = flavor),
show.legend = FALSE) -> ggp2_col
+ labs_col ggp2_col
<- labs(title = "Cannabis Products",
labs_bar x = "count",
y = "brand",
fill = "brand")
%>%
products_raw count(brand, sort = TRUE) %>%
head(20) %>%
ggplot(data = .,
aes(x = n,
y = fct_reorder(
.f = as.factor(brand),
.x = n))) +
geom_col(aes(fill = brand),
show.legend = FALSE) -> ggp2_bar
+
ggp2_bar labs_bar