diff --git a/module3/exo1/influenza-like-illness-analysis.Rmd b/module3/exo1/influenza-like-illness-analysis.Rmd
index edc2ac54940efd13e0a0cc7388565240bdb4fea8..e12efcb004838a869abb3b13858f70eae661592d 100644
--- a/module3/exo1/influenza-like-illness-analysis.Rmd
+++ b/module3/exo1/influenza-like-illness-analysis.Rmd
@@ -2,11 +2,11 @@
 title: "Incidence of influenza-like illness in France"
 author: "Eleni Gkiouzepi"
 output:
+  pdf_document:
+    toc: true
   html_document:
     toc: true
     theme: journal
-  pdf_document:
-    toc: true
 documentclass: article
 classoption: a4paper
 header-includes:
@@ -141,9 +141,9 @@ Since the peaks of the epidemic happen in winter, near the transition between ca
 The argument `na.rm=True` in the sum indicates that missing data points are removed. This is a reasonable choice since there is only one missing point, whose impact cannot be very strong.
 ```{r}
 yearly_peak = function(year) {
-      debut = paste0(year-1,"-08-01")
-      fin = paste0(year,"-08-01")
-      semaines = data$date > debut & data$date <= fin
+      start = paste0(year-1,"-08-01")
+      end = paste0(year,"-08-01")
+      semaines = data$date > start & data$date <= end
       sum(data$inc[semaines], na.rm=TRUE)
       }
 ```
@@ -164,7 +164,7 @@ head(annnual_inc)
 
 A plot of the annual incidences:
 ```{r}
-plot(annnual_inc, type="p", xlab="Année", ylab="Annual incidence")
+plot(annnual_inc, type="p", xlab="Year", ylab="Annual incidence")
 ```
 
 ### Identification of the strongest epidemics