diff --git a/report.html b/report.html
index 063db62..d263ed3 100644
--- a/report.html
+++ b/report.html
@@ -1519,13 +1519,16 @@ ordered from wish.com</h2>
   valid_percent &lt;- round(p * 100, digits = rounded_digits)
   na_percent &lt;- round(na_count / length(data) * 100, digits = rounded_digits)
   
-  percent &lt;- round(frequency/total_count*100, digits = rounded_digits)
+  percent_raw &lt;- frequency/total_count*100
+  percent &lt;- round(percent_raw, digits = rounded_digits)
   cumulative_percent &lt;- round(cumsum(p) * 100, digits = rounded_digits)
-  freq_table &lt;- cbind(frequency, percent, valid_percent, cumulative_percent)
+  freq_table &lt;- cbind(frequency, percent, percent_raw, valid_percent, cumulative_percent)
 
-  valid_percent_sum &lt;- sum(as.data.frame(freq_table)$percent)
+  valid_percent_sum &lt;- round(sum(as.data.frame(freq_table)$percent_raw), digits = rounded_digits)
   Valid_Total &lt;- c(valid_count, valid_percent_sum, 100, NaN)
-
+  
+  freq_table &lt;- subset(freq_table, select = -c(percent_raw))
+  
   NAs &lt;- c(na_count, na_percent, NaN, NaN)
   Total &lt;- c(total_count, 100, NaN, NaN)
   print(rbind(freq_table, Valid_Total, NAs, Total))
@@ -2420,7 +2423,7 @@ age &lt;- 2021 - birthyears</code></pre>
 ## 48                  1    0.94          0.94              98.11
 ## 49                  1    0.94          0.94              99.06
 ## 50                  1    0.94          0.94             100.00
-## Valid_Total       106   99.98        100.00                NaN
+## Valid_Total       106  100.00        100.00                NaN
 ## NAs                 0    0.00           NaN                NaN
 ## Total             106  100.00           NaN                NaN</code></pre>
 <pre class="r"><code># with NA
@@ -2449,7 +2452,7 @@ freq(2021 - litdata$D7)</code></pre>
 ## 48                  1    0.32          0.94              98.11
 ## 49                  1    0.32          0.94              99.06
 ## 50                  1    0.32          0.94             100.00
-## Valid_Total       106   33.89        100.00                NaN
+## Valid_Total       106   33.87        100.00                NaN
 ## NAs               207   66.13           NaN                NaN
 ## Total             313  100.00           NaN                NaN</code></pre>
 </div>
diff --git a/report.rmd b/report.rmd
index 00d1c7e..c5dbec9 100644
--- a/report.rmd
+++ b/report.rmd
@@ -45,13 +45,16 @@ freq <- function(data, rounded_digits = 2) {
   valid_percent <- round(p * 100, digits = rounded_digits)
   na_percent <- round(na_count / length(data) * 100, digits = rounded_digits)
   
-  percent <- round(frequency/total_count*100, digits = rounded_digits)
+  percent_raw <- frequency/total_count*100
+  percent <- round(percent_raw, digits = rounded_digits)
   cumulative_percent <- round(cumsum(p) * 100, digits = rounded_digits)
-  freq_table <- cbind(frequency, percent, valid_percent, cumulative_percent)
+  freq_table <- cbind(frequency, percent, percent_raw, valid_percent, cumulative_percent)
 
-  valid_percent_sum <- sum(as.data.frame(freq_table)$percent)
+  valid_percent_sum <- round(sum(as.data.frame(freq_table)$percent_raw), digits = rounded_digits)
   Valid_Total <- c(valid_count, valid_percent_sum, 100, NaN)
-
+  
+  freq_table <- subset(freq_table, select = -c(percent_raw))
+  
   NAs <- c(na_count, na_percent, NaN, NaN)
   Total <- c(total_count, 100, NaN, NaN)
   print(rbind(freq_table, Valid_Total, NAs, Total))