diff --git a/ironwood_plots.R b/ironwood_plots.R
index dcd532f..fc7ce87 100644
--- a/ironwood_plots.R
+++ b/ironwood_plots.R
@@ -6,13 +6,16 @@ library(readODS)
 library(tidyverse)
 library(dplyr)
 
+##
+# parse the input data
+##
 
 # read a data frame from the ods document
 df <- read_ods("ironwood_data_cleaned.ods", sheet = 1)
 
-
 ##
-# asses the tree health
+# 1. asses the tree health
+# - create an overview of the populations health
 ##
 
 # First, let's create a vector of condition names corresponding to the health index numbers
@@ -40,7 +43,8 @@ box()
 text(x = barplot(percentage, plot = FALSE), y = percentage, labels = paste0(round(percentage, 1), "%"), pos = 3)
 
 ##
-# Perform a shapiro-wilk normality test
+# 2. perform a shapiro-wilk normality test
+# - the goal is to see if the health is normally distributed
 ##
 
 # Perform Shapiro-Wilk test
@@ -57,8 +61,9 @@ if (p_value < 0.05) {
 }
 
 ##
-# Tasks:
+# ToDo Tasks:
 ##
 
-# 1. find average dbh
-# 2. find
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+# 3. calculate the average DBH and try to correlate it with the health index
+# 4. plot health indices of each site on a map and try to find patterns 
+# 5. try to fit health and location data in one plot
\ No newline at end of file