v0.3.1

DESCRIPTION

@@ -1,7 +1,7 @@
 Package: bulletchartr
 Type: Package
 Title: Create Bullet Charts For Visualizing KPIs
-Version: 0.3.0
+Version: 0.3.1
 Authors@R: c(person("Ryo", "Nakagawara", email = "ryonakagawara@gmail.com",
                   role = c("aut", "cre")),
                   person("Amit", "Kohli", email= "mexindian@gmail.com",

NEWS.md

@@ -1,3 +1,12 @@
+# bulletchartr 0.3.1
+
+* Added legend entry for "Target" as per [#24](https://github.com/ACDIVOCATech/bulletchartr/issues/24)
+* Fixed [#34](https://github.com/ACDIVOCATech/bulletchartr/issues/34) regarding 'Unknown or uninitialized column' warnings
+* Reordered items in legend as per [#36](https://github.com/ACDIVOCATech/bulletchartr/issues/36)
+* Updated README
+* pkgdown website updated
+* Update package logo with new target legend changes
+
 # bulletchartr 0.3.0
 
 * `bullet_chart()` function now uses regular scale **only**

R/bulletchart.R

@@ -51,11 +51,11 @@ bullet_chart <- function(file_name = NULL, sheet_name = "Sheet1",
                                     target, remove_no_targets)
 
   ## check for Target == 0 in all Targets
-  if(all(ammended_data$target == 0)) {
-    return(
-      "No Non-Zero Targets!"
-    )
-  }
+  # if(all(ammended_data %>% filter(allvals == "Target") %>% select(vals) %>% pull() == 0)) {
+  #   return(
+  #     "No Non-Zero Targets!"
+  #   )
+  # }
 
   ## grab the names of all the indicators
   indicator_vector <- ammended_data$indicator_name %>% unique()
@@ -77,55 +77,69 @@ bullet_chart <- function(file_name = NULL, sheet_name = "Sheet1",
 
     ## fill colors
     cols <- c(High = "#dcdcdc", Medium = "#c0c0c0", Low = "#696969",
-              Current = "black")
+              Current = "black", Target = "red")
 
     ## PLOT
-    g <- data %>%
-      ggplot() +
-      ## great
-      geom_col(data = data %>% filter(allvals == "High"),
-               aes(x = 1, y = vals, fill = allvals)) +
-      ## good
-      geom_col(data = data %>% filter(allvals == "Medium"),
-               aes(x = 1, y = vals, fill = allvals)) +
-      ## bad
-      geom_col(data = data %>% filter(allvals == "Low"),
-               aes(x = 1, y = vals, fill = allvals)) +
-      ## current
-      geom_col(data = data %>% filter(allvals == "Current"),
-               aes(x = 1, y = vals, fill = allvals),
-               width = 0.2) +
-      ## target
-      geom_segment(aes(x = 0.75, xend = 1.25,
-                       y = target, yend = target),
-                   color = "red", size = 2.5) +
-      coord_flip() +
-      scale_y_continuous(limits = c(0, NA),
-                         expand = c(0, 0),
-                         labels = seqbreaks,
-                         breaks = seqbreaks) +
-      scale_x_continuous(expand = c(0, 0)) +
-      scale_fill_manual(values = cols, name = NULL,
-                        breaks = c("Current", "High", "Medium", "Low")) +
-      ## var_info takes Indicator name AND any extra info provided in
-      ## the 'info' variable, all calculated in `field_calculator()`
-      labs(title = glue::glue("{data$varinfo}")) +
-      theme(title = element_text(face = "bold"),
-            plot.title = element_text(hjust = 0.5),
-            plot.subtitle = element_text(hjust = 0.5, size = 8),
-            panel.grid = element_blank(),
-            axis.title.x = element_blank(),
-            axis.text.x = element_text(face = "bold", size = 12),
-            axis.title.y = element_blank(),
-            axis.text.y = element_blank(),
-            axis.ticks.y = element_blank(),
-            strip.text = element_text(face = "bold", size = 14),
-            strip.background = element_rect(fill = "white"),
-            plot.margin = margin(1, 1, 1, 1, "cm"),
-            legend.position = "bottom",
-            legend.direction = "horizontal")
-
-    return(g)
+    g <- suppressWarnings(
+      data %>%
+        ggplot() +
+        ## great
+        geom_col(data = data %>% filter(allvals == "High"),
+                 aes(x = 1, y = vals, fill = allvals)) +
+        ## good
+        geom_col(data = data %>% filter(allvals == "Medium"),
+                 aes(x = 1, y = vals, fill = allvals)) +
+        ## bad
+        geom_col(data = data %>% filter(allvals == "Low"),
+                 aes(x = 1, y = vals, fill = allvals)) +
+        ## current
+        geom_col(data = data %>% filter(allvals == "Current"),
+                 aes(x = 1, y = vals, fill = allvals),
+                 width = 0.2) +
+        ## target
+        # geom_point(data = data %>% filter(allvals == "Target"),
+        #            aes(x = 1, y = vals, fill = allvals),
+        #            shape = 22, size = 4.5, color = "red",
+        #            show.legend = FALSE) +
+        geom_segment(data = data %>% filter(allvals == "Target"),
+                     aes(x = 0.75, xend = 1.25,
+                         y = vals, yend = vals, fill = allvals),
+                     color = "red", size = 2.5) +
+        # geom_rect(data = data %>% filter(allvals == "Target"),
+        #              aes(xmin = 0.75, xmax = 1.25,
+        #                  ymin = vals * -0.25, ymax = vals * 0.25,
+        #                  fill = allvals),
+        #              size = 2.5, show.legend = FALSE) +
+        coord_flip() +
+        scale_y_continuous(limits = c(0, NA),
+                           expand = c(0.01, 0),
+                           labels = seqbreaks,
+                           breaks = seqbreaks) +
+        scale_x_continuous(expand = c(0, 0)) +
+        scale_fill_manual(values = cols, name = NULL,
+                          breaks = c("Low", "Medium", "High", "Current", "Target")) +
+        ## var_info takes Indicator name AND any extra info provided in
+        ## the 'info' variable, all calculated in `field_calculator()`
+        labs(title = glue::glue("{data$varinfo}")) +
+        theme(title = element_text(face = "bold"),
+              plot.title = element_text(hjust = 0.5),
+              plot.subtitle = element_text(hjust = 0.5, size = 8),
+              panel.grid = element_blank(),
+              axis.title.x = element_blank(),
+              axis.text.x = element_text(face = "bold", size = 12),
+              axis.title.y = element_blank(),
+              axis.text.y = element_blank(),
+              axis.ticks.y = element_blank(),
+              strip.text = element_text(face = "bold", size = 14),
+              strip.background = element_rect(fill = "white"),
+              plot.margin = margin(1, 1, 1, 1, "cm"),
+              panel.background = element_rect(fill = "white"),
+              legend.text = element_text(face = "bold", size = 12),
+              legend.position = "bottom",
+              legend.direction = "horizontal")
+      )
+
+    #print(g)
   }
 
   ## map over each indicator
@@ -137,7 +151,8 @@ bullet_chart <- function(file_name = NULL, sheet_name = "Sheet1",
     group_by(indicator_name) %>%
     nest() %>%
     mutate(plot = map2(data, indicator_name,
-                       ~bc_plotter(data = .x, indicator_name = .y)))
+                       ~ bc_plotter(data = .x, indicator_name = .y)
+                       ))
   # plots_df$plot[[1]]
   # plots_df$plot[[2]]
   # plots_df$plot[[3]]

R/bulletchartr_data.r

@@ -1,6 +1,6 @@
-#' example dataframe of indicators and targets
+#' example dataframe for time-comparison scale bullet chart
 #' @format This data set contains indicator values and target data
-#' used in the examples in README.
+#' used in the examples in README for the time-comparison scale bullet charts.
 #'
 #' The variables are as follows:
 #'

R/globals.R

@@ -2,4 +2,4 @@ utils::globalVariables(c(".", "behind_by", "perc", "perc_week",
                          "perc_year", "percent_time", "text",
                          "tooltip", "tooltip2",
                          "allvals", "vals", "data",
-                         "plot", "Current", "tarhigh"))
+                         "plot", "Current", "Target", "tarhigh"))

R/internal.R

@@ -147,6 +147,10 @@ extra_field_calculator <- function(file_name = NULL, sheet_name = "Sheet1",
              TRUE ~ OldPer
            ))
 
+  ammended_data <- ammended_data %>%
+    mutate(LWeek_tex = NA,
+           LY_tex = NA)
+
   ## Calculate how far behind LAST for text
   ammended_data$LWeek_tex[
     ammended_data$BehindFromLastWeek > 0 & !is.na(ammended_data$BehindFromLastWeek)] <- paste("(+",

R/internal_bc.R

@@ -69,14 +69,14 @@ field_calculator <- function(file_name = NULL, sheet_name = "Sheet1",
            Low = !!Low,
            Medium = !!Medium,
            High = !!High,
-           target = !!tar,
+           Target = !!tar,
            info = !!inf
     )
 
   ## filter NO Target indicators
   if(remove_no_targets == TRUE) {
     ammended_data <- ammended_data %>%
-      filter(!is.na(target), target != 0)
+      filter(!is.na(Target), Target != 0)
   } else {
     ammended_data
   }
@@ -87,7 +87,7 @@ field_calculator <- function(file_name = NULL, sheet_name = "Sheet1",
   ## if target value Higher than "High", move "High" to "Target" value
   ## high should not be higher than target ??
     #mutate(High = if_else(target > High, target, High))
-    mutate(tarhigh = dplyr::if_else(target > High, TRUE, FALSE))
+    mutate(tarhigh = dplyr::if_else(Target > High, TRUE, FALSE))
 
   ## if Target > High then error out with name of columns
   if (any(ammended_data$tarhigh == TRUE)) {
@@ -102,7 +102,7 @@ field_calculator <- function(file_name = NULL, sheet_name = "Sheet1",
   ## reshape
   ammended_data <- ammended_data %>%
     select(-tarhigh) %>%
-    tidyr::pivot_longer(-c(indicator_name, target, info),
+    tidyr::pivot_longer(-c(indicator_name, info),
                  names_to = "allvals",
                  values_to = "vals") %>%
     dplyr::mutate(allvals = forcats::as_factor(allvals))
@@ -113,7 +113,7 @@ field_calculator <- function(file_name = NULL, sheet_name = "Sheet1",
   ammended_data <- ammended_data %>%
    mutate(varinfo = glue("{indicator_name}: {info}")) %>%
    mutate(allvals = forcats::fct_relevel(allvals,
-                                         c("Current", "High", "Medium", "Low")))
+                                         c("Low", "Medium", "High", "Current", "Target")))
 
   # ammended_data <- ammended_data %>%
   #   mutate(allvals = forcats::fct_relevel(allvals, c("Current", "High", "Medium", "Low")))

_pkgdown.yml

@@ -1 +1,46 @@
 url: https://acdivocatech.github.io/bulletchartr/
+
+template:
+  params:
+    bootswatch: simplex
+
+home:
+  links:
+  - text: 'Visit <a href="https://www.acdivoca.org/"><img alt="ACDIVOCA" src="https://www.acdivoca.org/wp-content/themes/acdi/images/logo.png" width="70"></a> website'
+    href: https://www.acdivoca.org/
+
+
+authors:
+  Ryo Nakagawara:
+    href: https://github.com/Ryo-N7
+  Amit Kohli:
+    href: https://github.com/DataStrategist
+
+reference:
+  - title: Example data
+    contents:
+      - starts_with("bc_")
+      - matches("read_example")
+  - title: Bullet chart (regular scale)
+    contents:
+      - matches("bullet_chart()")
+  - title: Bullet chart (time-comparison scale)
+    contents:
+      - starts_with("bullet_chart_")
+
+navbar:
+  title: bulletchartr
+  type: default
+  left:
+  - text: Home
+    href: index.html
+  - text: Intro
+    href: articles/intro-to-bullet-charts.html
+  - text: Reference
+    href: reference/index.html
+  - text: Vignettes
+    menu:
+    - text: Intro to Inputs
+      href: articles/intro-inputs.html
+    - text: Intro to Arguments
+      href: articles/intro-arguments.html