# Prevalence Of Drug Use Disorders Males vs Females
* Prevalence, "Share (%) of population suffering from drug use disorders, in males versus females. "

## Software required to recreate plots:
* Install: R language, RTools40, RStudio, and GGPLot2 (see link below).
* Download code and data from Github.com (see link below).
* Move R code and data to working directory

## Run code:

```
install.packages("ggplot2")
library(ggplot2)
rm(list=ls())
df <- read.csv("./prevalence-of-drug-use-disorders-males-vs-females.csv")
US <- subset(df,Code =="USA" & Year >="1990")
## Plot1:
plot(US$Year,US$Male,main="Male",type="l")
grid(col="gray")
## Plot2:
plot(US$Year,US$Female,type="l",main="Female")
grid(col="gray")
## Plot 3:
ggplot(US) + geom_line(aes(x=Year,y=Male,col="Males")) +
  geom_line(aes(x=Year,y=Female,col="Female")) +
  labs(title="Share(%) of population suffering from drug use disorders: males versus females",y="Drug use prevalence ")
```

## Plots:
=> https://github.com/davidjayjackson/Gemini-content/blob/main/female-prevalence.png (Plot1) Female Prevalence
=> https://github.com/davidjayjackson/Gemini-content/blob/main/male-prevalence.png   (Plot2) Male Prevalence
=> https://github.com/davidjayjackson/Gemini-content/blob/main/ggplot2_prevalence.png (GGPlot2) Combined Male and Female Prevalence

## Resources:
=> https://github.com/davidjayjackson/Gemini-content R Code, data
=> https://cloud.r-project.org/ R Language and Rtools10 (click and "base" and "Rtools")
=> https://rstudio.com/products/rstudio/download/ Download and install RStduio