---
title: "Penguin Wranglin' in R"
author: "Your name"
output:
  html_document: default
  pdf_document: default
---

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

## Getting started

Use your plans from Monday to answer the questions below in R. Put your code in the provided chunks and your written answers beneath the questions. Use `dplyr` for the data wrangling and `ggplot2` for the plots.

**Save each resulting dataset with a descriptive name**, then display it by putting its name on a line of its own. Keep the original `penguins` dataset available for the next problem. For Problem 4, save the two results under different names.

Run the following chunk before starting. When you are finished, knit the document to check that it runs from beginning to end.

```{r}
library(dplyr)
library(ggplot2)

penguins <- read.csv("https://collinn.github.io/data/penguins.csv")
```

## Problem 1

For each species, describe the average body mass and its standard deviation. Include how many penguins contribute to each summary. Create a plot comparing body-mass distributions across species.

```{r}
# Pick a descriptive name for your summary dataset, save it, and display it.
# Create your plot using the appropriate dataset.

```

Does the resulting dataset resemble what you predicted it would?

## Problem 2

Among female penguins measured in 2008, how does average flipper length differ across species?

```{r}
# Pick a descriptive name for your resulting dataset, save it, and display it.

```

Does the resulting dataset resemble what you predicted it would?

## Problem 3

Start with all penguins. Create body mass in kilograms; group by species and sex; calculate mean mass in kilograms; arrange from largest to smallest mean.

```{r}
# Pick a descriptive name for your resulting dataset, save it, and display it.

```

Does the resulting dataset resemble what you predicted it would?

## Problem 4

Implement both plans:

**Plan A:** Retain penguins weighing at least 4,000 g, then calculate mean body mass by species.

**Plan B:** Calculate mean body mass by species, then retain species with means of at least 4,000 g.

```{r}
# Pick a different descriptive name for each resulting dataset.
# Save and display both results.

```

Do the resulting datasets resemble what you predicted they would?

## Problem 5

For this exercise, label penguins weighing at least 4,000 grams "Big" and the rest "Small". Does the proportion in the heavier category differ across species? Create a plot showing this comparison.

```{r}
# Pick descriptive names for the datasets you create, save them, and display your summary.
# Create your comparison plot.

```

Does the resulting dataset resemble what you predicted it would?

## Problem 6

Investigate the relationship between flipper length and body mass within each species. Implement your revised plan from Monday and create a plot showing the relationship.

```{r}
# If you create a new dataset, pick a descriptive name and save it.
# Create your plot using the appropriate dataset.

```

Does the resulting plot resemble what you predicted it would?