beer production.Rmd

---
title: "Beer Production"
output:
  pdf_document: default
  html_document:
    df_print: paged
---


Set up working space
```{r}
rm(list=ls())
```

```{r}
library(ggplot2)
library(tidyr)
library(dplyr)
library(patchwork)
library(lubridate)
library(hrbrthemes)
library(wesanderson)
library(ggridges)
```
load data
```{r}
brewing_materials <- readr::read_csv('https://raw.githubusercontent.com/rfordatascience/tidytuesday/master/data/2020/2020-03-31/brewing_materials.csv')
```
```{r}
head(brewing_materials)
```
```{r}
unique(brewing_materials$data_type)
```
```{r}
type1<-brewing_materials %>% 
    mutate(year_month=make_datetime(year,month)) %>% 
    select(year_month,type,month_current) %>%
    filter(!type %in% c('Total Used','Total Grain products','Total Non-Grain products')) %>% 
    ggplot(aes(x=year_month,y=month_current,fill=type))+  geom_density(color=NA,stat='identity',position="fill") + theme_classic() + scale_fill_manual(values=c(wes_palette("Darjeeling1"),wes_palette("Darjeeling2")))  + xlab('Pounds of Materials Used') +  ylab('Time (month/year)') +  theme(legend.position ='bottom',legend.text = element_text(size=5))
type1
```
```{r}
type2<-brewing_materials %>% 
    mutate(year_month=make_datetime(year,month)) %>% 
    select(year_month,type,month_current) %>%
    filter(!type %in% c('Total Used','Total Grain products','Total Non-Grain products')) %>% 
  ggplot(aes(x=month_current,y=type,fill=type)) + geom_density_ridges()+ theme_classic() + scale_fill_manual(values=c(wes_palette("Darjeeling1"),wes_palette("Darjeeling2")))+ xlab('Pounds of Materials Used') + guides(fill=F)
type2
```
```{r}
type2 / type1 + plot_layout(heights = c(2,1)) + ggsave('Beer_brewing.jpeg',height=5,width=8)
```