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inst/tutorials/10-exploratory-data-analysis/tutorial.Rmd

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@@ -115,24 +115,24 @@ library(ggthemes)
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# But, to save space in the package so that we meet the CRAN 5mb guideline, we
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# use a version on Github.
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url <- "https://raw.githubusercontent.com/PPBDS/r4ds.tutorials/main/data-raw/portlandtemp.csv"
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portland_data <-
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read_csv(url,
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col_types = cols(
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date = col_date(format = ""),
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tmax = col_double(),
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tmin = col_double()
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)
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) |>
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filter(date >= as.Date("1979-01-01")) |>
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mutate(
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yday = lubridate::yday(date),
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year = lubridate::year(date),
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recent_high = if_else(tmax > 100 & year == 2021,
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TRUE, FALSE
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)
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)
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# url <- "https://raw.githubusercontent.com/PPBDS/r4ds.tutorials/main/data-raw/portlandtemp.csv"
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#
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# portland_data <-
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# read_csv(url,
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# col_types = cols(
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# date = col_date(format = ""),
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# tmax = col_double(),
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# tmin = col_double()
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# )
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# ) |>
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# filter(date >= as.Date("1979-01-01")) |>
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# mutate(
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# yday = lubridate::yday(date),
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# year = lubridate::year(date),
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# recent_high = if_else(tmax > 100 & year == 2021,
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# TRUE, FALSE
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# )
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# )
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months <-
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tibble(
@@ -143,51 +143,51 @@ months <-
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)
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)
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portland_graph <- ggplot(
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data = portland_data,
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mapping = aes(
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x = yday,
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y = tmax
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)
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) +
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geom_point(alpha = .05, size = .9) +
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geom_point(
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data = filter(
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portland_data,
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recent_high != FALSE
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),
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mapping = aes(color = "#C1392B"),
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alpha = 1,
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size = 2.3
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) +
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guides(color = "none") +
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scale_x_continuous(
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breaks = months$yday,
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labels = months$label,
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expand = c(.01, .01)
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) +
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scale_y_continuous(
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labels = function(x) paste0(x, "°F"),
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breaks = seq(
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from = 20,
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to = 120,
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by = 20
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)
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) +
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theme_minimal() +
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labs(
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x = NULL,
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y = NULL,
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title = "Daily maximum temperatures in Portland, 1979–2021",
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caption = "Data: National Oceanic and Atmospheric Administration via Oregon Live. \nGraphic: Cédric Scherer."
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) +
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theme(
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plot.title = element_text(face = "bold"),
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panel.grid.minor = element_blank(),
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panel.grid.major.x = element_blank(),
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axis.line.x = element_line(linewidth = 0.2),
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axis.ticks.x = element_line()
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)
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# portland_graph <- ggplot(
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# data = portland_data,
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# mapping = aes(
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# x = yday,
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# y = tmax
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# )
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# ) +
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# geom_point(alpha = .05, size = .9) +
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# geom_point(
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# data = filter(
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# portland_data,
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# recent_high != FALSE
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# ),
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# mapping = aes(color = "#C1392B"),
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# alpha = 1,
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# size = 2.3
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# ) +
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# guides(color = "none") +
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# scale_x_continuous(
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# breaks = months$yday,
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# labels = months$label,
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# expand = c(.01, .01)
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# ) +
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# scale_y_continuous(
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# labels = function(x) paste0(x, "°F"),
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# breaks = seq(
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# from = 20,
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# to = 120,
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# by = 20
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# )
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# ) +
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# theme_minimal() +
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# labs(
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# x = NULL,
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# y = NULL,
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# title = "Daily maximum temperatures in Portland, 1979–2021",
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# caption = "Data: National Oceanic and Atmospheric Administration via Oregon Live. \nGraphic: Cédric Scherer."
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# ) +
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# theme(
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# plot.title = element_text(face = "bold"),
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# panel.grid.minor = element_blank(),
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# panel.grid.major.x = element_blank(),
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# axis.line.x = element_line(linewidth = 0.2),
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# axis.ticks.x = element_line()
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# )
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```
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