project working.Rmd

---
title: "Project Working"
author: "Fiore, C."
date: "3/27/2022"
output: pdf_document
---

```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = TRUE)
```



```{r, message=FALSE}
library(readr)
library(tidyr)
library(tidyverse)
library(ggplot2)
library(dplyr)
library(modelr)
```



```{r}
lau <- read.csv(file = "laucnty2020.csv", header = TRUE) #date of publication 2 MAR 2022
lau
```
```{r,message=FALSE}
ggplot(lau, aes(x=labor_force,y=unemployed, color = government)) +
  geom_point() +   
  scale_color_manual(values = c("Republican" = "red",
                                "Democratic" = "blue",
                                "Divided" = "purple")) +
  #geom_smooth(method="lm", color="red") +
  labs(title="No clear relationship between size of labor force and unemployment",
              x="Total Labor Force by County", 
       y="Unemployed People by County") +
    theme(axis.text.x = element_text(angle = 0)) +
  theme(legend.position = "none")
```
```{r}
ggplot(lau, mapping = aes(x=as.character(st_fips_code),y=ue_rate, color = government)) +
  geom_boxplot() +
  labs(title="Title",
              x="State Code", 
       y="Unemployment") +
    scale_color_manual(values = c("Republican" = "red",
                                "Democratic" = "blue",
                                "Divided" = "purple")) +
    theme(axis.text.x = element_text(angle = 90)) +
  facet_wrap(~government) +
  #coord_flip() +
  theme(legend.position = "Right")
```

```{r}
ggplot(lau, mapping = aes(x=as.character(st_fips_code),y=ue_rate, color = government)) +
  geom_boxplot() +
  labs(title="Lower median unemployment rates in states with Republican-controlled governments",
              x="State", 
       y="Unemployment") +
    scale_color_manual(values = c("Republican" = "red",
                                "Democratic" = "blue",
                                "Divided" = "purple")) +
    theme(axis.text.x = element_text(angle = 90)) 
  #facet_wrap(~vote) +
  #coord_flip() +
  #theme(legend.position = "Right") + legend(legend.title = "Government")
```