From 638c8e752984456a789090febf2ce3273c9ca984 Mon Sep 17 00:00:00 2001 From: 8632bd464035f72368e4963e9964f043 <8632bd464035f72368e4963e9964f043@app-learninglab.inria.fr> Date: Fri, 14 Nov 2025 09:21:22 +0000 Subject: [PATCH] =?UTF-8?q?Exercice=20compl=C3=A9t=C3=A9?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- module2/exo5/exo5_fr.ipynb | 94 +- module3/exo1/analyse-syndrome-grippal.ipynb | 1976 ++++++++++++++++++- module3/exo1/inc-3-PAY-ds2.csv | 516 +++++ 3 files changed, 2513 insertions(+), 73 deletions(-) create mode 100644 module3/exo1/inc-3-PAY-ds2.csv diff --git a/module2/exo5/exo5_fr.ipynb b/module2/exo5/exo5_fr.ipynb index 26ad6d9..99df9a0 100644 --- a/module2/exo5/exo5_fr.ipynb +++ b/module2/exo5/exo5_fr.ipynb @@ -40,7 +40,7 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 45, "metadata": {}, "outputs": [ { @@ -261,33 +261,33 @@ "" ], "text/plain": [ - " Date Count Temperature Pressure Malfunction\n", - "0 4/12/81 6 66 50 0\n", - "1 11/12/81 6 70 50 1\n", - "2 3/22/82 6 69 50 0\n", - "3 11/11/82 6 68 50 0\n", - "4 4/04/83 6 67 50 0\n", - "5 6/18/82 6 72 50 0\n", - "6 8/30/83 6 73 100 0\n", - "7 11/28/83 6 70 100 0\n", - "8 2/03/84 6 57 200 1\n", - "9 4/06/84 6 63 200 1\n", - "10 8/30/84 6 70 200 1\n", - "11 10/05/84 6 78 200 0\n", - "12 11/08/84 6 67 200 0\n", - "13 1/24/85 6 53 200 2\n", - "14 4/12/85 6 67 200 0\n", - "15 4/29/85 6 75 200 0\n", - "16 6/17/85 6 70 200 0\n", - "17 7/29/85 6 81 200 0\n", - "18 8/27/85 6 76 200 0\n", - "19 10/03/85 6 79 200 0\n", - "20 10/30/85 6 75 200 2\n", - "21 11/26/85 6 76 200 0\n", - "22 1/12/86 6 58 200 1" + " Date Count Temperature Pressure Malfunction\n", + "0 4/12/81 6 66 50 0\n", + "1 11/12/81 6 70 50 1\n", + "2 3/22/82 6 69 50 0\n", + "3 11/11/82 6 68 50 0\n", + "4 4/04/83 6 67 50 0\n", + "5 6/18/82 6 72 50 0\n", + "6 8/30/83 6 73 100 0\n", + "7 11/28/83 6 70 100 0\n", + "8 2/03/84 6 57 200 1\n", + "9 4/06/84 6 63 200 1\n", + "10 8/30/84 6 70 200 1\n", + "11 10/05/84 6 78 200 0\n", + "12 11/08/84 6 67 200 0\n", + "13 1/24/85 6 53 200 2\n", + "14 4/12/85 6 67 200 0\n", + "15 4/29/85 6 75 200 0\n", + "16 6/17/85 6 70 200 0\n", + "17 7/29/85 6 81 200 0\n", + "18 8/27/85 6 76 200 0\n", + "19 10/03/85 6 79 200 0\n", + "20 10/30/85 6 75 200 2\n", + "21 11/26/85 6 76 200 0\n", + "22 1/12/86 6 58 200 1" ] }, - "execution_count": 1, + "execution_count": 45, "metadata": {}, "output_type": "execute_result" } @@ -322,7 +322,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 46, "metadata": {}, "outputs": [ { @@ -425,7 +425,7 @@ "22 1/12/86 6 58 200 1" ] }, - "execution_count": 2, + "execution_count": 46, "metadata": {}, "output_type": "execute_result" } @@ -448,12 +448,26 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 47, "metadata": {}, "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1 1\n", + "8 1\n", + "9 1\n", + "10 1\n", + "13 2\n", + "20 2\n", + "22 1\n", + "Name: Malfunction, dtype: int64\n" + ] + }, { "data": { - "image/png": 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\n", 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" ] @@ -500,7 +514,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 48, "metadata": {}, "outputs": [ { @@ -524,10 +538,10 @@ " Method: IRLS Log-Likelihood: -2.5250 \n", "\n", "\n", - " Date: Sat, 13 Apr 2019 Deviance: 0.22231 \n", + " Date: Fri, 07 Nov 2025 Deviance: 0.22231 \n", "\n", "\n", - " Time: 19:11:24 Pearson chi2: 0.236 \n", + " Time: 16:05:09 Pearson chi2: 0.236 \n", "\n", "\n", " No. Iterations: 4 Covariance Type: nonrobust\n", @@ -555,8 +569,8 @@ "Model Family: Binomial Df Model: 1\n", "Link Function: logit Scale: 1.0000\n", "Method: IRLS Log-Likelihood: -2.5250\n", - "Date: Sat, 13 Apr 2019 Deviance: 0.22231\n", - "Time: 19:11:24 Pearson chi2: 0.236\n", + "Date: Fri, 07 Nov 2025 Deviance: 0.22231\n", + "Time: 16:05:09 Pearson chi2: 0.236\n", "No. Iterations: 4 Covariance Type: nonrobust\n", "===============================================================================\n", " coef std err z P>|z| [0.025 0.975]\n", @@ -567,7 +581,7 @@ "\"\"\"" ] }, - "execution_count": 4, + "execution_count": 48, "metadata": {}, "output_type": "execute_result" } @@ -605,12 +619,12 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 49, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", 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26201627FR35202862264178106
27201628FR3332054160248064
28201629FR3405665020309285
29201630FR3354054454262674
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514 rows × 9 columns

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weekgeo_inseeindicatorincinc100inc_upinc_lowinc100_upinc100_low
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weekgeo_inseeindicatorincinc100inc_upinc_lowinc100_upinc100_low
0201601FR3422636548970355567555
1201602FR3446176851413378217958
2201603FR3752771168392466630129102
3201604FR3148473228160355136591246210
4201605FR3178963275191630166296294255
5201606FR3194921299200637189205308290
6201607FR3204604314210495198713323305
7201608FR3200681308206577194785317299
8201609FR3213380328219353207407337318
9201610FR3248576382254901242251391372
10201611FR3279636429286366272906440419
11201612FR3274533421281219267847432411
12201613FR3173684267179077168291275258
13201614FR3113384174117869108899181167
14201615FR3603889363680570969888
15201616FR3333975135849309455547
16201617FR3269814129219247434538
17201618FR3152742316926136222621
18201619FR3143582215959127572420
19201620FR39853151119085161713
20201621FR39944151127786111713
21201622FR366481077415555129
22201623FR36151972025100118
23201624FR362641073195209118
24201625FR35345863314359107
25201626FR36027970984956118
26201627FR35202862264178106
27201628FR3332054160248064
28201629FR3405665020309285
29201630FR3354054454262674
..............................
484202516FR3260063928568234444335
485202517FR3201113022320179023327
486202518FR3169672518996149382822
487202519FR3177542619794157143023
488202520FR3232513525546209563831
489202521FR3228983425167206293831
490202522FR3172542619251152572923
491202523FR3198763022004177483326
492202524FR3192652921368171623226
493202525FR3192562921342171703226
494202526FR3184742820532164163124
495202527FR3177032619725156812923
496202528FR3186072820753164613125
497202529FR3159382417990138862721
498202530FR3188962821165166273225
499202531FR3203763022799179533427
500202532FR3199383022479173973426
501202533FR3130051915114108962316
502202534FR3198443022312173763326
503202535FR3239003626415213853932
504202536FR3302974533247273475041
505202537FR3364445439393334955950
506202538FR3545688158152509848776
507202539FR3603329064237564279684
508202540FR369162103731266519810997
509202541FR3752211127937371069118106
510202542FR368201102722356416710896
511202543FR3547838258583509838776
512202544FR3546908258439509418776
513202545FR3482117251771446517767
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514 rows × 9 columns

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" + ], + "text/plain": [ + " week geo_insee indicator inc inc100 inc_up inc_low inc100_up \\\n", + "0 201601 FR 3 42263 65 48970 35556 75 \n", + "1 201602 FR 3 44617 68 51413 37821 79 \n", + "2 201603 FR 3 75277 116 83924 66630 129 \n", + "3 201604 FR 3 148473 228 160355 136591 246 \n", + "4 201605 FR 3 178963 275 191630 166296 294 \n", + "5 201606 FR 3 194921 299 200637 189205 308 \n", + "6 201607 FR 3 204604 314 210495 198713 323 \n", + "7 201608 FR 3 200681 308 206577 194785 317 \n", + "8 201609 FR 3 213380 328 219353 207407 337 \n", + "9 201610 FR 3 248576 382 254901 242251 391 \n", + "10 201611 FR 3 279636 429 286366 272906 440 \n", + "11 201612 FR 3 274533 421 281219 267847 432 \n", + "12 201613 FR 3 173684 267 179077 168291 275 \n", + "13 201614 FR 3 113384 174 117869 108899 181 \n", + "14 201615 FR 3 60388 93 63680 57096 98 \n", + "15 201616 FR 3 33397 51 35849 30945 55 \n", + "16 201617 FR 3 26981 41 29219 24743 45 \n", + "17 201618 FR 3 15274 23 16926 13622 26 \n", + "18 201619 FR 3 14358 22 15959 12757 24 \n", + "19 201620 FR 3 9853 15 11190 8516 17 \n", + "20 201621 FR 3 9944 15 11277 8611 17 \n", + "21 201622 FR 3 6648 10 7741 5555 12 \n", + "22 201623 FR 3 6151 9 7202 5100 11 \n", + "23 201624 FR 3 6264 10 7319 5209 11 \n", + "24 201625 FR 3 5345 8 6331 4359 10 \n", + "25 201626 FR 3 6027 9 7098 4956 11 \n", + "26 201627 FR 3 5202 8 6226 4178 10 \n", + "27 201628 FR 3 3320 5 4160 2480 6 \n", + "28 201629 FR 3 4056 6 5020 3092 8 \n", + "29 201630 FR 3 3540 5 4454 2626 7 \n", + ".. ... ... ... ... ... ... ... ... \n", + "484 202516 FR 3 26006 39 28568 23444 43 \n", + "485 202517 FR 3 20111 30 22320 17902 33 \n", + "486 202518 FR 3 16967 25 18996 14938 28 \n", + "487 202519 FR 3 17754 26 19794 15714 30 \n", + "488 202520 FR 3 23251 35 25546 20956 38 \n", + "489 202521 FR 3 22898 34 25167 20629 38 \n", + "490 202522 FR 3 17254 26 19251 15257 29 \n", + "491 202523 FR 3 19876 30 22004 17748 33 \n", + "492 202524 FR 3 19265 29 21368 17162 32 \n", + "493 202525 FR 3 19256 29 21342 17170 32 \n", + "494 202526 FR 3 18474 28 20532 16416 31 \n", + "495 202527 FR 3 17703 26 19725 15681 29 \n", + "496 202528 FR 3 18607 28 20753 16461 31 \n", + "497 202529 FR 3 15938 24 17990 13886 27 \n", + "498 202530 FR 3 18896 28 21165 16627 32 \n", + "499 202531 FR 3 20376 30 22799 17953 34 \n", + "500 202532 FR 3 19938 30 22479 17397 34 \n", + "501 202533 FR 3 13005 19 15114 10896 23 \n", + "502 202534 FR 3 19844 30 22312 17376 33 \n", + "503 202535 FR 3 23900 36 26415 21385 39 \n", + "504 202536 FR 3 30297 45 33247 27347 50 \n", + "505 202537 FR 3 36444 54 39393 33495 59 \n", + "506 202538 FR 3 54568 81 58152 50984 87 \n", + "507 202539 FR 3 60332 90 64237 56427 96 \n", + "508 202540 FR 3 69162 103 73126 65198 109 \n", + "509 202541 FR 3 75221 112 79373 71069 118 \n", + "510 202542 FR 3 68201 102 72235 64167 108 \n", + "511 202543 FR 3 54783 82 58583 50983 87 \n", + "512 202544 FR 3 54690 82 58439 50941 87 \n", + "513 202545 FR 3 48211 72 51771 44651 77 \n", + "\n", + " inc100_low \n", + "0 55 \n", + "1 58 \n", + "2 102 \n", + "3 210 \n", + "4 255 \n", + "5 290 \n", + "6 305 \n", + "7 299 \n", + "8 318 \n", + "9 372 \n", + "10 419 \n", + "11 411 \n", + "12 258 \n", + "13 167 \n", + "14 88 \n", + "15 47 \n", + "16 38 \n", + "17 21 \n", + "18 20 \n", + "19 13 \n", + "20 13 \n", + "21 9 \n", + "22 8 \n", + "23 8 \n", + "24 7 \n", + "25 8 \n", + "26 6 \n", + "27 4 \n", + "28 5 \n", + "29 4 \n", + ".. ... \n", + "484 35 \n", + "485 27 \n", + "486 22 \n", + "487 23 \n", + "488 31 \n", + "489 31 \n", + "490 23 \n", + "491 26 \n", + "492 26 \n", + "493 26 \n", + "494 24 \n", + "495 23 \n", + "496 25 \n", + "497 21 \n", + "498 25 \n", + "499 27 \n", + "500 26 \n", + "501 16 \n", + "502 26 \n", + "503 32 \n", + "504 41 \n", + "505 50 \n", + "506 76 \n", + "507 84 \n", + "508 97 \n", + "509 106 \n", + "510 96 \n", + "511 76 \n", + "512 76 \n", + "513 67 \n", + "\n", + "[514 rows x 9 columns]" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "data = raw_data.dropna().copy()\n", "data" @@ -122,7 +1980,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 6, "metadata": {}, "outputs": [], "source": [ @@ -152,10 +2010,8 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, + "execution_count": 7, + "metadata": {}, "outputs": [], "source": [ "sorted_data = data.set_index('period').sort_index()" @@ -179,7 +2035,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 8, "metadata": {}, "outputs": [], "source": [ @@ -199,9 +2055,32 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 9, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ "sorted_data['inc'][-200:].plot()" ] @@ -252,10 +2154,8 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, + "execution_count": 11, + "metadata": {}, "outputs": [], "source": [ "first_august_week = [pd.Period(pd.Timestamp(y, 8, 1), 'W')\n", @@ -274,9 +2174,21 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 12, "metadata": {}, - "outputs": [], + "outputs": [ + { + "ename": "AssertionError", + "evalue": "", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mAssertionError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m 4\u001b[0m first_august_week[1:]):\n\u001b[1;32m 5\u001b[0m \u001b[0mone_year\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0msorted_data\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'inc'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mweek1\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0mweek2\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 6\u001b[0;31m \u001b[0;32massert\u001b[0m \u001b[0mabs\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mone_year\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0;36m52\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m<\u001b[0m \u001b[0;36m2\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 7\u001b[0m \u001b[0myearly_incidence\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mone_year\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msum\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 8\u001b[0m \u001b[0myear\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mweek2\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0myear\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mAssertionError\u001b[0m: " + ] + } + ], "source": [ "year = []\n", "yearly_incidence = []\n", @@ -341,9 +2253,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": true - }, + "metadata": {}, "outputs": [], "source": [] } @@ -364,7 +2274,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.1" + "version": "3.6.4" } }, "nbformat": 4, diff --git a/module3/exo1/inc-3-PAY-ds2.csv b/module3/exo1/inc-3-PAY-ds2.csv new file mode 100644 index 0000000..f6a72c2 --- /dev/null +++ b/module3/exo1/inc-3-PAY-ds2.csv @@ -0,0 +1,516 @@ +# {"columns":{"geo":"geo_insee","indicator":3,"time":"week","value":["inc","inc_low","inc_up","inc100","inc100_low","inc100_up"]},"query":{"geo_ref":"insee","indicator":3,"type":"all","period":[201601,202545],"geo":["PAY",1]},"compact":false,"time":"week","source":"réseau Sentinelles, INSERM, Sorbonne Université, https://www.sentiweb.fr","date":"2025-11-13T17:21:25+0100"} +"week","geo_insee","indicator","inc","inc100","inc_up","inc_low","inc100_up","inc100_low" +201601,"FR",3,42263,65,48970,35556,75,55 +201602,"FR",3,44617,68,51413,37821,79,58 +201603,"FR",3,75277,116,83924,66630,129,102 +201604,"FR",3,148473,228,160355,136591,246,210 +201605,"FR",3,178963,275,191630,166296,294,255 +201606,"FR",3,194921,299,200637,189205,308,290 +201607,"FR",3,204604,314,210495,198713,323,305 +201608,"FR",3,200681,308,206577,194785,317,299 +201609,"FR",3,213380,328,219353,207407,337,318 +201610,"FR",3,248576,382,254901,242251,391,372 +201611,"FR",3,279636,429,286366,272906,440,419 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