Close #1 with PR #7 add tidyr spread and gather

Add tidyr::spread and tidyr::gather

R/00_base_tidyr.R

+# Animated dplyr joins with gganimate
+# * Garrick Aden-Buie
+# * garrickadenbuie.com
+# * MIT License: https://opensource.org/licenses/MIT
+
+library(tidyverse)
+library(gganimate)
+
+if (!getOption("tidy_verb_anim.font_registered", FALSE)) {
+  source(here::here("R", "01_register-fonts.R"))
+}
+
+if (!getOption("tidy_verb_anim.functions_loaded", FALSE)) {
+  source(here::here("R", "02_functions.R"))
+}
+
+source(here::here("R", "03_check-folders.R"))
+
+# Data ----
+set.seed(42)
+wide <- data_frame(
+  id = rep(1:2),
+  x = letters[1:2],
+  y = letters[3:4],
+  z = letters[5:6]
+)
+
+long <- tidyr::gather(wide, key, val, x:z)

R/02_functions.R

   df
 }
 
+colorize_wide_tidyr <- function(df, n_colors, key_col = "id") {
+  n_colors <- n_colors + length(setdiff(unique(df$label), key_col))
+  colors <- scales::brewer_pal(type = "qual", "Set1")(n_colors)
+
+  df$value_int <- as.integer(gsub("[a-zA-Z]", "0", df$value))
+  max_id_color <- max(df$value_int)
+
+  df %>%
+    bind_rows(
+      filter(df, .y == "-1") %>% mutate(.y = 0)
+    ) %>%
+    mutate(
+      idcp = max_id_color - 1L,
+      idc = case_when(
+        label == "id" ~ value_int,
+        TRUE ~ map_int(label, ~which(. == unique(label))) + idcp
+      )
+    ) %>%
+    select(-idcp, -value_int) %>%
+    mutate(
+      idc   = ifelse(.y == 0 & label == "id", 100, idc),
+      value = ifelse(.y == 0, label, value),
+      .id   = ifelse(.y == 0, "n", .id),
+      color = colors[idc],
+    ) %>%
+    filter(!is.na(color)) %>%
+    mutate(alpha = ifelse(label != "id" & .y < 0, 0.6, 1.0)) %>%
+    select(-idc)
+}
+
 plot_data <- function(x, title = "") {
   if (!"alpha" %in% colnames(x)) x$alpha <- 1
   if (!".width" %in% colnames(x)) x$`.width` <- 1
+  if (!".text_color" %in% colnames(x)) x$`.text_color` <- "white"
+  if (!".text_size" %in% colnames(x)) x$`.text_size` <- 12
   ggplot(x) +
     aes(.x, .y, fill = color, label = value) +
     geom_tile(aes(width = .width, alpha = alpha), color = "white", size = 3) +
-    geom_text(aes(x = .x), hjust = 0.5, size = 12, family = "Fira Sans", color = "white") +
+    geom_text(aes(x = .x, color = .text_color, size = .text_size), hjust = 0.5, family = "Fira Sans") +
     scale_fill_identity() +
     scale_alpha_identity() +
+    scale_color_identity() +
+    scale_size_identity() +
     coord_equal() +
     ggtitle(title) +
     theme_void() +

R/tidyr_spread_gather.R

+source(here::here("R", "00_base_tidyr.R"))
+
+sg_wide <- wide %>%
+  proc_data("0-wide", colorize_wide_tidyr) %>%
+  mutate(frame = 1, .id = "0-wide")
+
+sg_long <- wide %>%
+  tidyr::gather("key", "val", -id) %>%
+  proc_data("3-tall", color_fun = function(x, y) x) %>%
+  split(.$label)
+
+sg_long$id <-
+  sg_wide %>%
+  filter(label == "id") %>%
+  select(value, color) %>%
+  left_join(sg_long$id, ., by = "value") %>%
+  mutate(alpha = 1)
+
+sg_long$key <-
+  sg_wide %>%
+  filter(label != "id") %>%
+  select(label, color) %>%
+  left_join(sg_long$key, ., by = c("value" = "label")) %>%
+  distinct() %>%
+  mutate(alpha = 1)
+
+sg_long$val <-
+  sg_wide %>%
+  filter(label != "id", .y < 0) %>%
+  select(value, color) %>%
+  left_join(sg_long$val, ., by = "value") %>%
+  mutate(alpha = 0.6)
+
+sg_long <- bind_rows(sg_long) %>% mutate(frame = 2)
+
+sg_long_labels <- data_frame(id = 1, a = "id", x = "key", y = "val") %>%
+  proc_data("4-label") %>%
+  filter(label != "id") %>%
+  mutate(color = "#FFFFFF", .y = 0, .x = .x -1, frame = 2, alpha = 1, label = recode(label, "a" = "id"))
+
+sg_wide_labels <- data_frame(id = 1, a = "id") %>%
+  proc_data("2-label") %>%
+  filter(label != "id") %>%
+  mutate(color = "#FFFFFF", .y = 0, .x = .x -1, frame = 1, alpha = 1, label = recode(label, "a" = "id"))
+
+sg_long_extra_keys <- map_dfr(
+  seq_len(nrow(wide) - 1),
+  ~ filter(sg_wide, .y > -1) # Extra key blocks in long column
+)
+
+n_key_cols <- length(setdiff(colnames(wide), "id"))
+
+sg_long_extra_id <- map_dfr(
+  seq_len(n_key_cols - 1),
+  ~ filter(sg_wide, .x == 1) # Extra id column blocks for long column
+)
+
+sg_data <- bind_rows(
+  sg_wide,
+  sg_wide_labels,
+  sg_long,
+  sg_long_labels,
+  sg_long_extra_keys,
+  sg_long_extra_id
+) %>%
+  mutate(
+    label = ifelse(value %in% setdiff(colnames(wide), "id"), "key", label),
+    label = ifelse(value %in% c("key", "val"), "zzz", label),
+    .text_color = ifelse(grepl("label", .id), "black", "white"),
+    .text_size = ifelse(grepl("label", .id), 8, 12)
+  ) %>%
+  arrange(label, .id, value) %>%
+  mutate(frame = factor(frame, labels = c('spread(long, key, val)', 'gather(wide, key, val, x:z)'))) %>%
+  select(.x, .y, everything())
+
+sg_static <-
+  sg_data %>%
+  split(.$frame) %>%
+  imap(~ plot_data(.x, .y) +
+         ylim(-6.5, 0.5) +
+         labs(subtitle = "returns") +
+         theme(plot.subtitle = element_text(family = "Fira Sans", size = 14, color = "grey50", hjust = 0.5, margin = margin(25)))
+  )
+
+save_static_plot(cowplot::plot_grid(plotlist = sg_static, axis = 't'), "tidyr-spread-gather")
+save_static_plot(sg_static[[1]], "tidyr-spread")
+save_static_plot(sg_static[[2]], "tidyr-gather")
+
+sg_anim <-
+  sg_data %>%
+  plot_data() %>%
+  animate_plot() +
+  view_follow() +
+  labs(title = "{ifelse(transitioning, next_state, ifelse(grepl('gather', next_state), 'long', 'wide'))}") +
+  ease_aes("sine-in-out", x = "exponential-out")
+
+sg_anim <- animate(sg_anim)
+anim_save(here::here("images", "tidyr-spread-gather.gif"), sg_anim)

README.Rmd

 - Filtering Joins: [`semi_join()`](#semi-join), [`anti_join()`](#anti-join)
 
 - Set Operations: [`union()`](#union), [`union_all()`](#union-all), [`intersect()`](#intersect), [`setdiff()`](#setdiff)
+
+- Tidy Data: [`spread()` and `gather()`](#spread-and-gather)
+
 - Learn more about
     - [Relational Data](#relational-data)
     - [gganimate](#gganimate)
 setdiff(y, x)
 ```
 
+## Tidy Data
+
+```{r tidyr-wide-long}
+source("R/tidyr_spread_gather.R")
+
+tidy_plots <- list()
+tidy_plots$wide <- bind_rows(sg_wide, sg_wide_labels)
+tidy_plots$long <- bind_rows(sg_long, sg_long_labels)
+
+tidy_plots <- map(tidy_plots, ~ mutate(., 
+  .text_color = ifelse(grepl("id|key|val", value), "black", "white"),
+  .text_size  = ifelse(grepl("id|key|val", value), 6, 10)
+)) %>% 
+  imap(~ plot_data(.x, .y))
+
+tidy_plots$wide <- tidy_plots$wide + ylim(-6.5, 0.5)
+
+save_static_plot(cowplot::plot_grid(plotlist = tidy_plots, axis = "t"), "original-dfs-tidy")
+```
+
+![](images/static/png/original-dfs-tidy.png)
+
+### Spread and Gather
+
+`spread(data, key, value)`
+
+> Spread a key-value pair across multiple columns.
+
+`gather(data, key = "key", value = "value", ...)`
+
+> Gather takes multiple columns and collapses into key-value pairs, duplicating all other columns as needed. You use `gather()` when you notice that you have columns that are not variables.
+
+![](images/tidyr-spread-gather.gif)
+
+```{r echo=TRUE}
+gather(wide, key, val, x:z)
+spread(long, key, val)
+```
+
 ## Learn More
 
 ### Relational Data

README.md

   - Set Operations: [`union()`](#union), [`union_all()`](#union-all),
     [`intersect()`](#intersect), [`setdiff()`](#setdiff)
 
+  - Tidy Data: [`spread()` and `gather()`](#spread-and-gather)
+
   - Learn more about
     
       - [Relational Data](#relational-data)
 #> 1 2     b
 ```
 
+## Tidy Data
+
+![](images/static/png/original-dfs-tidy.png)
+
+### Spread and Gather
+
+`spread(data, key, value)`
+
+> Spread a key-value pair across multiple columns.
+
+`gather(data, key = "key", value = "value", ...)`
+
+> Gather takes multiple columns and collapses into key-value pairs,
+> duplicating all other columns as needed. You use `gather()` when you
+> notice that you have columns that are not variables.
+
+![](images/tidyr-spread-gather.gif)
+
+``` r
+gather(wide, key, val, x:z)
+#> # A tibble: 6 x 3
+#>      id key   val  
+#>   <int> <chr> <chr>
+#> 1     1 x     a    
+#> 2     2 x     b    
+#> 3     1 y     c    
+#> 4     2 y     d    
+#> 5     1 z     e    
+#> 6     2 z     f
+spread(long, key, val)
+#> # A tibble: 2 x 4
+#>      id x     y     z    
+#>   <int> <chr> <chr> <chr>
+#> 1     1 a     c     e    
+#> 2     2 b     d     f
+```
+
 ## Learn More
 
 ### Relational Data

install.R

 install.packages("rmarkdown")
 install.packages("here")
 install.packages(c("sysfonts", "jsonlite", "curl", "showtext"))
+install.packages("cowplot")
 install.packages("devtools")
 devtools::install_github("thomasp85/gganimate")