quarto-example

Model resold the most

Author

Kara Carter

Introduction

This data set is shows all the resold Porsche. This will be analyzing which is the most common model/class resold and what its value is. My data contains information about different types of Porsche that have been resold. Each row is a different car and each column is telling the buyer information about the car.

  karadata<- read_csv ("https://myxavier-my.sharepoint.com/:x:/g/personal/carterk16_xavier_edu/ETRXTCByjc5FjpslvfwwIckBZ0j7Q7kcioW6IrvRkxxNBA?download=1")

hist(karadata$MODEL)

Question Outcome

This will show what is the most common type of Porsche, which is the Cayenne. This will show which models could have the highest resell chances. I will complete this task by using the Model/Class column and count the number of rows with for each of the classes. After this is created, I will use that particular class and pair it with the price for each car in the class.

Code:

The most commonly resold Porsche in this data set is the cayenne. It is resold a lot more than the other classes in the set. Because of that, I wanted to see the prices at which the Cayenne were resold at based on the age of the car. As one would think, the older cars resold for lower amounts than newer cars. This means that the car is likely not consider antique.

---
label: "Porsche used data set"  # Name of your HTML output
subtitle: "Model resold the most"
author: "Kara Carter"                   # Author name
toc: true                 # Generates an automatic table of contents.
format:  # Options related to formatting.

  html:                   # Options related to HTML output.
    code-tools: TRUE      # Allow the code tools option showing in the output.
    embed-resources: TRUE # Embeds all components into a single HTML file. 
execute:                  # Options related to the execution of code chunks.
  warning: FALSE          # FALSE: Code chunk sarnings are hidden by default.
  message: FALSE          # FALSE: Code chunk messages are hidden by default.
  echo:    TRUE
---

## Introduction

This data set is shows all the resold Porsche. This will be analyzing which is the most common model/class resold and what its value is. My data contains information about different types of Porsche that have been resold. Each row is a different car and each column is telling the buyer information about the car.

```{r}
#| include: false 
#| message: false 
 library (tidyverse) # all tidy things 
library (skimr) #better sum. stats 
```

```{r}
#| label: Import data
#| message: false 
  karadata<- read_csv ("https://myxavier-my.sharepoint.com/:x:/g/personal/carterk16_xavier_edu/ETRXTCByjc5FjpslvfwwIckBZ0j7Q7kcioW6IrvRkxxNBA?download=1")

hist(karadata$MODEL) 
```

## Question Outcome

This will show what is the most common type of Porsche, which is the Cayenne. This will show which models could have the highest resell chances. I will complete this task by using the Model/Class column and count the number of rows with for each of the classes. After this is created, I will use that particular class and pair it with the price for each car in the class.

## Code: 

```{r}
#| label: Code for graph
#| echo: false
#| message: false
 karadata%>%
  filter (`MODEL/CLASS`== "Cayenne")%>%
  ggplot( aes(x= MODEL, y=`PRICE($)`))+
  geom_point()+
  geom_smooth()

```

The most commonly resold Porsche in this data set is the cayenne. It is resold a lot more than the other classes in the set. Because of that, I wanted to see the prices at which the Cayenne were resold at based on the age of the car. As one would think, the older cars resold for lower amounts than newer cars. This means that the car is likely not consider antique.