#+TITLE:  Exercice 2
#+AUTHOR: Antoine Geimer
#+DATE:   [2024-06-06 Thu]
#+LANGUAGE: fr
# #+PROPERTY: header-args :eval never-export

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Récuperer les données et les visualiser:
#+begin_src python :results output :exports both :session *python*
import numpy as np

data = np.genfromtxt('data.csv', delimiter=', ')
print(data) # visualizing the data
#+end_src

#+RESULTS:
: [14.   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.  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.  13.6 18.  13.6 19.9 13.7 17.  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.  14.3 16.8 14.   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. ]

Statistiques:
#+begin_src python :results output :exports both :session *python* 
print(f"Mean: {np.mean(data)}\nMin: {np.min(data)}\nMax: {np.max(data)}\nMedian: {np.median(data)}\nStd: {np.std(data, ddof=1)}") 
#+end_src

#+RESULTS:
: Mean: 14.113000000000001
: Min: 2.8
: Max: 23.4
: Median: 14.5
: Std: 4.334094455301447