fix data format and finish exercise 4 modl 2

module2/exo4/data.csv

-01/02/21;14,6460667061335
-02/02/21;73,4672357276549
-03/02/21;44,2291538031916
-04/02/21;71,2903834045354
-05/02/21;68,4296251985456
-06/02/21;63,7415933598351
-07/02/21;12,1364474195974
-08/02/21;31,333298339329
-09/02/21;88,577182629412
-10/02/21;15,7374298284668
-11/02/21;5,76424151805257
-12/02/21;31,553181578714
-13/02/21;2,8429101140257
-14/02/21;110,497435357668
-15/02/21;53,519193819704
-16/02/21;29,0710366548617
-17/02/21;40,9590068501374
-18/02/21;108,901226649965
-19/02/21;89,8347247541098
-20/02/21;104,444763954637
-21/02/21;97,5087720203479
-22/02/21;91,3232707890844
-23/02/21;69,9688805761576
-24/02/21;18,6351020508254
-25/02/21;95,3568454045806
-26/02/21;65,405377470914
-27/02/21;58,6261571771731
-28/02/21;56,492475928146
+2021-02-01;81.8199141820915
+2021-02-02;45.6301076036676
+2021-02-03;70.8706487695057
+2021-02-04;5.97511114188613
+2021-02-05;101.240121644893
+2021-02-06;103.766043900565
+2021-02-07;52.7243273488364
+2021-02-08;68.7124193984776
+2021-02-09;24.7699235269981
+2021-02-10;118.519011934154
+2021-02-11;72.366803329567
+2021-02-12;114.271575633934
+2021-02-13;22.5772258584814
+2021-02-14;9.45448876418252
+2021-02-15;82.0417788209343
+2021-02-16;113.367188637391
+2021-02-17;69.0559521907761
+2021-02-18;23.3930819081197
+2021-02-19;59.4513861286365
+2021-02-20;11.8306198096613
+2021-02-21;38.6294301996271
+2021-02-22;55.8762511123907
+2021-02-23;69.6027586204646
+2021-02-24;12.4944003236117
+2021-02-25;115.595594989872
+2021-02-26;56.1790065946262
+2021-02-27;64.3230348460476
+2021-02-28;4.86203636954475
+

module2/exo4/exercice_python_en.org

@@ -26,3 +26,146 @@ and minimum value, regarding the time spent on each day.
 
 * Results of the experiments
 
+  I'm using the [[https://pandas.pydata.org/][Pandas library]] to facilitate reading the date from the
+  CSV file and to learn a new tool :). 
+
+
+
+#+begin_src python :results value :session *python* :exports both #using value, prints the variable without showing the console output
+import pandas as pd # using pandas to facilitate working with date and time
+dataframe = pd.read_csv("data.csv", parse_dates=[0], delimiter = ';', header=None)
+dataframe
+#+end_src
+
+#+RESULTS:
+#+begin_example
+            0           1
+0  2021-02-01   81.819914
+1  2021-02-02   45.630108
+2  2021-02-03   70.870649
+3  2021-02-04    5.975111
+4  2021-02-05  101.240122
+5  2021-02-06  103.766044
+6  2021-02-07   52.724327
+7  2021-02-08   68.712419
+8  2021-02-09   24.769924
+9  2021-02-10  118.519012
+10 2021-02-11   72.366803
+11 2021-02-12  114.271576
+12 2021-02-13   22.577226
+13 2021-02-14    9.454489
+14 2021-02-15   82.041779
+15 2021-02-16  113.367189
+16 2021-02-17   69.055952
+17 2021-02-18   23.393082
+18 2021-02-19   59.451386
+19 2021-02-20   11.830620
+20 2021-02-21   38.629430
+21 2021-02-22   55.876251
+22 2021-02-23   69.602759
+23 2021-02-24   12.494400
+24 2021-02-25  115.595595
+25 2021-02-26   56.179007
+26 2021-02-27   64.323035
+27 2021-02-28    4.862036
+#+end_example
+
+
+
+* Calculating the average/mean
+We can use pandas' [[https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.mean.html][mean method]]
+
+#+begin_src python :results output :session *python* :exports both #using output, prints only what is shown in the console
+average = dataframe[1].mean()
+print(average)
+#+end_src
+
+#+RESULTS:
+: 59.621437271033706
+
+* Calculating the standard deviation
+We can use pandas' [[https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.std.html][std method]]
+#+begin_src python :results value :session *python* :exports both
+std = dataframe[1].std()
+std
+#+end_src
+
+#+RESULTS:
+: 36.12909565271962
+
+
+* Calculating the median
+We can use pandas' [[https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.median.html][median method]]
+#+begin_src python :results value :session *python* :exports both
+median = dataframe[1].median()
+median
+#+end_src
+
+#+RESULTS:
+: 61.88721048734205
+
+* Finding the minimum value (time spent)
+We can use pandas' [[https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.min.html][min method]]
+#+begin_src python :results value :session *python* :exports both
+min = dataframe[1].min()
+min
+#+end_src
+
+#+RESULTS:
+: 4.86203636954475
+
+* Finding the day with the minimum time spent studying 
+We can use pandas' [[https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.idxmin.html][idxmin method]]
+#+begin_src python :results output :session *python* :exports both
+idmin = dataframe[1].idxmin()
+idmin
+print (dataframe[0][idmin] , dataframe[1][idmin] )
+#+end_src
+
+#+RESULTS:
+: 2021-02-28 00:00:00 4.86203636954475
+
+* Finding the maximum value (time spent)
+We can use pandas' [[https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.max.html][max method]]
+#+begin_src python :results value :session *python* :exports both
+max = dataframe[1].max()  
+max
+#+end_src
+
+#+RESULTS:
+: 118.519011934154
+
+* Finding the day with the maximum time spent studying 
+
+We can use pandas' [[https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.idxmax.html][idxmax method]]
+#+begin_src python :results output :session *python* :exports both
+idmax = dataframe[1].idxmax()
+idmax
+print (dataframe[0][idmax],dataframe[1][idmax]  )
+#+end_src
+
+#+RESULTS:
+: 2021-02-10 00:00:00 118.519011934154
+
+* Generating a graphic of the data:
+
+#+begin_src python :results output file :session *python* :var matplot_lib_filename2="simple_plot.png" :exports both
+from matplotlib import pyplot as plt
+fig, ax = plt.subplots(figsize=(12, 12))
+
+
+ax.bar(dataframe.index.values,
+       dataframe[1],
+       color='purple')
+
+
+ax.set(xlabel="Date",
+       ylabel="Time Spent",
+       title="Daily Time spent studying for the MOOC on reproducible research - feb/2021")
+
+plt.savefig(matplot_lib_filename2)
+print(matplot_lib_filename2)
+#+end_src
+
+#+RESULTS:
+[[file:simple_plot.png]]