diff --git a/data-visualization/tracker-webpage-content/g-transportation/g01-safety/insert-null-records.R b/data-visualization/tracker-webpage-content/g-transportation/g01-safety/insert-null-records.R
new file mode 100644
index 0000000..e2709d6
--- /dev/null
+++ b/data-visualization/tracker-webpage-content/g-transportation/g01-safety/insert-null-records.R
@@ -0,0 +1,89 @@
+library(tidyverse)
+
+source('C:\\Users\\CLam\\github\\equity-tracker\\data-visualization\\equity-tracker-chart-functions.R')
+
+# inputs ----
+
+base_dir <- 'Y:/Equity Indicators/tracker-webpage-content'
+theme_dir <- 'g-transportation'
+ind_dir <- 'g01-safety'
+
+rda <- 'g01-safety-data.rda'
+load(file = file.path(base_dir, theme_dir, ind_dir, "rda-data", rda))
+
+# insert null records ----
+standard_base_year <- 2010
+
+## main table
+df_base <- data_clean %>% 
+  mutate(data_year_num = as.numeric(data_year))
+
+## set-up columns to identify missing years by the unique categories/geography
+d <- df_base %>% 
+  group_by(county, equity_group, quintile, county_ord, equity_group_ord, quintile_ord) %>% 
+  summarise(num_unique_years = length(unique(data_year)),
+            start_year = as.numeric(min(unique(data_year))),
+            end_year = as.numeric(max(unique(data_year)))) %>% 
+  mutate(base_year = standard_base_year)
+
+## create list-column, a vector of missing years in a cell
+d_calc <- d %>% 
+  rowwise() %>% 
+  mutate(missing_years = ifelse(start_year == base_year, NA, list(seq(base_year, (start_year-1))))) 
+
+## unpack so each missing year is a row of its own
+d_unnest <- d_calc %>% 
+  unnest(missing_years) 
+
+## create table with null records for chart
+df_nulls <- d_unnest %>% 
+  select(county, equity_group, quintile, county_ord, equity_group_ord, quintile_ord, data_year_num = missing_years) %>% 
+  mutate(wt_combo_rate = NA, estimate = NA, data_year = as.character(data_year_num))
+
+## assemble main table  
+df <- bind_rows(df_base, df_nulls) %>% 
+  arrange(county_ord, equity_group_ord, quintile_ord, data_year_num)
+ 
+
+# prep line chart ----
+
+## set variables
+x <- "data_year" 
+y <- "estimate"
+y_min <- 0
+y_max <- 100
+
+geo <- "county_ord"
+fill <- "quintile_ord" 
+facet <- "equity_group_ord"
+
+dec <- 1
+esttype <- "number"
+
+color <- "purples"
+num_colors <- 5
+color_rev <- FALSE
+
+title <- "Traffic Related Deaths and <br> Serious Injuries per 100,000"
+subtitle <- "Census Tract Level"
+source <- paste("Washington Traffic Safety Commission", 
+               "U.S. Census Bureau, American Community Survey (ACS) 2020 5-Year Public Use Microdata Sample (PUMS)", sep="\n")
+
+## create chart
+line_chart <- equity_tracker_line_facet(df = df,
+                                        geo = geo,
+                                        x = x,
+                                        y = y,
+                                        fill = fill,
+                                        facet = facet,
+                                        y_min = y_min,
+                                        y_max = y_max,
+                                        dec = dec,
+                                        esttype = esttype,
+                                        color = color,
+                                        num_colors = num_colors,
+                                        color_rev = color_rev,
+                                        width = '420px',
+                                        height = '380px')
+
+line_chart