## Prevalence of Drug Use Disorders by age * Prevalence, "Share (%) of the population suffering from drug use disorders By Age(10-49). " ## Software required to recreate plot: * Install: R language, RTools40 and RStudio (see link below) * Packages: GGPLot2, dplyr, janitor. * Download code and data from Github.com (see link below). * Move R code and data to the working directory ## Run code: ``` library(ggplot2) library(scales) library(dplyr) library(janitor) ## Read Data rm(list=ls()) df <- read.csv("./prevalence-of-drug-use-disorders-by-age.csv") df <- clean_names(df) colnames(df) <- c("County","Code","Year","age_14","age_19","age_24", "age_29","age_34","all_age_percent","male_14","age_49", "age_70","standard_percent") US <- df %>% filter(Code=="USA") %>% select(Year:standard_percent) str(df) ## ggplot(US) + geom_line(aes(x=Year,y=standard_percent)) + labs(title="Standard Percent") ## ggplot(US) + geom_line(aes(x=Year,y=age_14,col="age_14")) + geom_line(aes(x=Year,y=age_19,col="age_19")) + geom_line(aes(x=Year,y=age_24,col="age_24")) + geom_line(aes(x=Year,y=age_24,col="age_24")) + geom_line(aes(x=Year,y=age_29,col="age_29")) + geom_line(aes(x=Year,y=age_34,col="age_34")) + geom_line(aes(x=Year,y=age_49,col="age_49")) + labs(title = "prevalence-of-drug-use-disorders-by-age: 10-49 Years", y="prevalence (%) ") + guides(color = guide_legend(override.aes = list(size = 2))) ``` Plot: => https://github.com/davidjayjackson/Gemini-content/blob/main/prevalence-by-age.png Prevalence Of Drug Use by Age ## Resources: => https://github.com/davidjayjackson/Gemini-content R Code, data => https://cloud.r-project.org/ R Language and Rtools40 (click and "base" and "Rtools") => https://rstudio.com/products/rstudio/download/ Download and install RStudio => https://www.youtube.com/channel/UCEYlsdkxG4hY6c5-5d3gxCw Caribou Data Science(YouTube) => https://gmi.skyjake.fi/lagrange/ Lagrange Gemini Browser => gemini://gemlog.blue/users/cariboudatascience/1613266872.gmi This Gemini Capsule