color and fill

# `color` and `fill`

Take your graph from above (the one with `geom_col`) and make the inside of each bar a different color.

```{r}
ggplot(data = sleep_by_gender, 
       mapping = aes(x = gender, 
                     y = avg_sleep,
                     fill = gender)) +
  geom_col()
```

Make your scatterplot from before that shows weight on the x axis and height on the y axis again, but make the dots show up in different colors based on the `phys_active` variable.

```{r}
ggplot(data = nhanes,
       mapping = aes(x = weight,
                     y = height,
                     color = phys_active)) +
  geom_point()
```

view rawcolor-fill-solutions.R hosted with ❤ by GitHub
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color and fill Resources

You may want to review Chapter 3 from R for Data Science, which includes a section on mapping data to color and fill aesthetics. Chapter 2 of Fundamentals of Data Visualization has a similar discussion. So does Chapter 3 of Data Visualization: A Practical Introduction.

General ggplot2