diff --git a/module2/exo2/exercice_R_en.org b/module2/exo2/exercice_R_en.org
index 2b73d64e82dad485ab562f8bda6434ffa7b68d27..597e1808f58f01eac60cc788cb0f579ded76220e 100644
--- a/module2/exo2/exercice_R_en.org
+++ b/module2/exo2/exercice_R_en.org
@@ -1,81 +1,42 @@
-#+TITLE: Your title
-#+AUTHOR: Your name
-#+DATE: Today's date
+#+TITLE: Exercise 2
#+LANGUAGE: en
-# #+PROPERTY: header-args :eval never-export
-#+HTML_HEAD:
-#+HTML_HEAD:
-#+HTML_HEAD:
-#+HTML_HEAD:
-#+HTML_HEAD:
-#+HTML_HEAD:
+* Doing some calculations
-* Some explanations
+First we put the dataset in variable
-This is an org-mode document with code examples in R. Once opened in
-Emacs, this document can easily be exported to HTML, PDF, and Office
-formats. For more information on org-mode, see
-https://orgmode.org/guide/.
-
-When you type the shortcut =C-c C-e h o=, this document will be
-exported as HTML. All the code in it will be re-executed, and the
-results will be retrieved and included into the exported document. If
-you do not want to re-execute all code each time, you can delete the #
-and the space before ~#+PROPERTY:~ in the header of this document.
-
-Like we showed in the video, R code is included as follows (and is
-exxecuted by typing ~C-c C-c~):
-
-#+begin_src R :results output :exports both
-print("Hello world!")
-#+end_src
-
-#+RESULTS:
-: [1] "Hello world!"
-
-And now the same but in an R session. This is the most frequent
-situation, because R is really an interactive language. With a
-session, R's state, i.e. the values of all the variables, remains
-persistent from one code block to the next. The code is still executed
-using ~C-c C-c~.
-
-#+begin_src R :results output :session *R* :exports both
-summary(cars)
-#+end_src
+#+BEGIN_SRC R :results output :exports both :session *R*
+x <- c(14.0, 7.6, 11.2, 12.8, 12.5, 9.9, 14.9, 9.4, 16.9, 10.2, 14.9, 18.1, 7.3, 9.8, 10.9,12.2, 9.9, 2.9, 2.8, 15.4, 15.7, 9.7, 13.1, 13.2, 12.3, 11.7, 16.0, 12.4, 17.9, 12.2, 16.2, 18.7, 8.9, 11.9, 12.1, 14.6, 12.1, 4.7, 3.9, 16.9, 16.8, 11.3, 14.4, 15.7, 14.0, 13.6, 18.0, 13.6, 19.9, 13.7, 17.0, 20.5, 9.9, 12.5, 13.2, 16.1, 13.5, 6.3, 6.4, 17.6, 19.1, 12.8, 15.5, 16.3, 15.2, 14.6, 19.1, 14.4, 21.4, 15.1, 19.6, 21.7, 11.3, 15.0, 14.3, 16.8, 14.0, 6.8, 8.2, 19.9, 20.4, 14.6, 16.4, 18.7, 16.8, 15.8, 20.4, 15.8, 22.4, 16.2, 20.3, 23.4, 12.1, 15.5, 15.4, 18.4, 15.7, 10.2, 8.9, 21.0)
+x
+#+END_SRC
#+RESULTS:
-: speed dist
-: Min. : 4.0 Min. : 2.00
-: 1st Qu.:12.0 1st Qu.: 26.00
-: Median :15.0 Median : 36.00
-: Mean :15.4 Mean : 42.98
-: 3rd Qu.:19.0 3rd Qu.: 56.00
-: Max. :25.0 Max. :120.00
-
-Finally, an example for graphical output:
-#+begin_src R :results output graphics :file "./cars.png" :exports results :width 600 :height 400 :session *R*
-plot(cars)
-#+end_src
+:
+: [1] 14.0 7.6 11.2 12.8 12.5 9.9 14.9 9.4 16.9 10.2 14.9 18.1 7.3 9.8 10.9
+: [16] 12.2 9.9 2.9 2.8 15.4 15.7 9.7 13.1 13.2 12.3 11.7 16.0 12.4 17.9 12.2
+: [31] 16.2 18.7 8.9 11.9 12.1 14.6 12.1 4.7 3.9 16.9 16.8 11.3 14.4 15.7 14.0
+: [46] 13.6 18.0 13.6 19.9 13.7 17.0 20.5 9.9 12.5 13.2 16.1 13.5 6.3 6.4 17.6
+: [61] 19.1 12.8 15.5 16.3 15.2 14.6 19.1 14.4 21.4 15.1 19.6 21.7 11.3 15.0 14.3
+: [76] 16.8 14.0 6.8 8.2 19.9 20.4 14.6 16.4 18.7 16.8 15.8 20.4 15.8 22.4 16.2
+: [91] 20.3 23.4 12.1 15.5 15.4 18.4 15.7 10.2 8.9 21.0
+
+Now we calculate the required values
+
+#+BEGIN_SRC R :results output :exports both :session *R*
+round(mean(x), 2)
+round(min(x), 2)
+round(max(x), 2)
+round(median(x), 2)
+round(sd(x), 2)
+#+END_SRC
#+RESULTS:
-[[file:./cars.png]]
-
-Note the parameter ~:exports results~, which indicates that the code
-will not appear in the exported document. We recommend that in the
-context of this MOOC, you always leave this parameter setting as
-~:exports both~, because we want your analyses to be perfectly
-transparent and reproducible.
-
-Watch out: the figure generated by the code block is /not/ stored in
-the org document. It's a plain file, here named ~cars.png~. You have
-to commit it explicitly if you want your analysis to be legible and
-understandable on GitLab.
-
-Finally, don't forget that we provide in the resource section of this
-MOOC a configuration with a few keyboard shortcuts that allow you to
-quickly create code blocks in R by typing ~