probably typos (#1446)
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@ -263,7 +263,7 @@ flights |>
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### Logarithms
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### Logarithms
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Logarithms are an incredibly useful transformation for dealing with data that ranges across multiple orders of magnitude and convert exponential growth to linear growth.
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Logarithms are an incredibly useful transformation for dealing with data that ranges across multiple orders of magnitude and converting exponential growth to linear growth.
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In R, you have a choice of three logarithms: `log()` (the natural log, base e), `log2()` (base 2), and `log10()` (base 10).
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In R, you have a choice of three logarithms: `log()` (the natural log, base e), `log2()` (base 2), and `log10()` (base 10).
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We recommend using `log2()` or `log10()`.
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We recommend using `log2()` or `log10()`.
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`log2()` is easy to interpret because a difference of 1 on the log scale corresponds to doubling on the original scale and a difference of -1 corresponds to halving; whereas `log10()` is easy to back-transform because (e.g.) 3 is 10\^3 = 1000.
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`log2()` is easy to interpret because a difference of 1 on the log scale corresponds to doubling on the original scale and a difference of -1 corresponds to halving; whereas `log10()` is easy to back-transform because (e.g.) 3 is 10\^3 = 1000.
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@ -585,7 +585,7 @@ The median delay is always smaller than the mean delay because flights sometimes
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```{r}
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```{r}
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#| label: fig-mean-vs-median
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#| label: fig-mean-vs-median
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#| fig-cap: >
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#| fig-cap: >
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#| A scatterplot showing the differences of summarizing hourly depature
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#| A scatterplot showing the differences of summarizing daily depature
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#| delay with median instead of mean.
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#| delay with median instead of mean.
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#| fig-alt: >
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#| fig-alt: >
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#| All points fall below a 45° line, meaning that the median delay is
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#| All points fall below a 45° line, meaning that the median delay is
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