diff --git a/vignettes/articles/performance.Rmd b/vignettes/articles/performance.Rmd
index 2cc6174..280ce36 100644
--- a/vignettes/articles/performance.Rmd
+++ b/vignettes/articles/performance.Rmd
@@ -24,7 +24,7 @@ generate_random_string <- function(length) {
 }
 
 # Prepare a data frame to store benchmark results
-benchmark_results <- data.frame(length_str = numeric(), comp_time = numeric(), decomp_time = numeric())
+benchmark_results <- data.frame(raw_len = numeric(), comp_len = numeric(),comp_time = numeric(), decomp_time = numeric())
 
 # Run benchmark for each string length
 for (i in 1:100) {
@@ -39,19 +39,31 @@ for (i in 1:100) {
   decomp_time_tmp <- as.numeric(decomp$median)
   comp_time_tmp <- as.numeric(comp$median)
   # Store the median time and string length
-  benchmark_results <- rbind(benchmark_results, data.frame(length_str = nchar(big_str), comp_time = comp_time_tmp, decomp_time = decomp_time_tmp))
+  benchmark_results <- rbind(benchmark_results, data.frame(raw_len = nchar(big_str), comp_len = nchar(comp$result), comp_time = comp_time_tmp, decomp_time = decomp_time_tmp))
 }
 # Convert time to milliseconds
 benchmark_results$comp_time <- benchmark_results$comp_time * 1000
 benchmark_results$decomp_time <- benchmark_results$decomp_time * 1000
 ```
 
+Let's plot the compression ratio for each string length. Compression ratio is the ratio between the length of the raw string to the length of the compressed string. These ratios are not good because the strings we're producing are random and not very compressible, but they're good for testing compression and decompression times.
+
+```{r plot-size-results, fig.width = 7, fig.asp = 0.6}
+benchmark_results$compression_ratio <- benchmark_results$raw_len / benchmark_results$comp_len
+ggplot(benchmark_results) + 
+  geom_line(aes(x = raw_len, y = compression_ratio)) +
+  labs(x = "String length (characters)",
+       y = "Compression Ratio") +
+  theme_minimal() +
+  theme(legend.position = "bottom")
+```
+
 Now let's plot the results for compression and decompression times of all those strings we created.
 
-```{r plot-results, fig.width = 7, fig.asp = 0.6}
+```{r plot-time-results, fig.width = 7, fig.asp = 0.6}
 ggplot(benchmark_results) +
-  geom_line(aes(x = length_str, y = comp_time, col = "Compression"), ) +
-  geom_line(aes(x = length_str, y = decomp_time, col = "Decompression")) +
+  geom_line(aes(x = raw_len, y = comp_time, col = "Compression"), ) +
+  geom_line(aes(x = raw_len, y = decomp_time, col = "Decompression")) +
   labs(x = "String length (characters)",
        y = "Time (milliseconds)") +
   theme_minimal() +