diff --git a/raportowanie.r b/raportowanie.r
index 6e17a92..7a36e46 100644
--- a/raportowanie.r
+++ b/raportowanie.r
@@ -13,6 +13,7 @@ drugs <- tbl(con, "dim_drugs")
 time <- tbl(con, "dim_time")
 status <- tbl(con, "dim_claim_statuses")
 
+# Zaakceptowane i odrzuconce refundacje w latach
 tbl(con, "FT_Refund") %>%
   inner_join(time, by = c("response_time_fk" = "time_sk")) %>%
   inner_join(status, by = c("claim_status_fk" = "claim_status_sk")) %>%
@@ -25,6 +26,20 @@ tbl(con, "FT_Refund") %>%
   scale_x_continuous(breaks = 2009:2016) +
   facet_grid(. ~ status_description)
 
+tbl(con, "FT_Refund") %>%
+  inner_join(time, by = c("response_time_fk" = "time_sk")) %>%
+  inner_join(status, by = c("claim_status_fk" = "claim_status_sk")) %>%
+  filter(year >= 2008 && year <= 2016) %>%
+  group_by(year, status_description) %>%
+  summarize(how_many = sum(cnt)) %>%
+  ungroup() %>%
+  ggplot(aes(year, how_many, fill = status_description)) + 
+  geom_bar(stat = "identity", position = "dodge") +
+  geom_text(aes(label = how_many)) +
+  scale_x_continuous(breaks = 2009:2016) +
+  ylab("count")
+
+
 tbl(con, "FT_Refund") %>%
   inner_join(countries, by = c("country_fk" = "country_sk")) %>%
   inner_join(drugs, by = c("drug_fk" = "drug_sk")) %>%
@@ -44,14 +59,18 @@ tbl(con, "FT_Refund") %>%
     scale_x_continuous("month", breaks = 1:12) +
     facet_grid(sale ~ year)
 
+
 tbl(con, "FT_Registration") %>%
-  inner_join(time, by = c("response_time_fk" = "time_sk")) %>%
-  group_by(year) %>%
+  inner_join(time, by = c("submission_date_fk" = "time_sk")) %>%
+  inner_join(status, by = c("claim_status_fk" = "claim_status_sk")) %>%
+  mutate(decade = floor(year / 10) * 10, got_answer = status_code_bk != "W") %>%
+  group_by(decade, got_answer) %>%
   summarize(how_many = sum(cnt)) %>%
-  filter(how_many > 0) %>%
-  mutate(decade = floor(year / 10) * 10) %>%
-  ggplot(aes(year, how_many)) + 
-    geom_area()
+  filter(how_many > 0, decade < 2020, decade >= 1980) %>%
+  ggplot(aes(decade, how_many, fill = got_answer)) + 
+    geom_bar(stat = "identity") +
+    geom_label(aes(label=how_many)) +
+    geom_text(stat = "count", y = 5000, aes(label = ..count..))