From 711a1d75428b57243732c0c584b0ef57d271fdff Mon Sep 17 00:00:00 2001 From: a308dc99373eb1db581156a44d010769 Date: Wed, 8 Apr 2020 12:45:05 +0000 Subject: [PATCH] analyse complete --- module3/exo2/exercice.ipynb | 1449 +++++++++++++++++++++++++++++++++++ 1 file changed, 1449 insertions(+) diff --git a/module3/exo2/exercice.ipynb b/module3/exo2/exercice.ipynb index e6c9bab..791b449 100644 --- a/module3/exo2/exercice.ipynb +++ b/module3/exo2/exercice.ipynb @@ -57,6 +57,1455 @@ " urllib.request.urlretrieve(data_url, data_file)" ] }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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weekindicatorincinc_lowinc_upinc100inc100_lowinc100_upgeo_inseegeo_name
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1530 rows × 10 columns

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" + ], + "text/plain": [ + " week indicator inc inc_low inc_up inc100 inc100_low \\\n", + "0 202013 7 7371 5268 9474 11 8 \n", + "1 202012 7 8123 5790 10456 12 8 \n", + "2 202011 7 10198 7568 12828 15 11 \n", + "3 202010 7 9011 6691 11331 14 10 \n", + "4 202009 7 13631 10544 16718 21 16 \n", + "5 202008 7 10424 7708 13140 16 12 \n", + "6 202007 7 8959 6574 11344 14 10 \n", + "7 202006 7 9264 6925 11603 14 10 \n", + "8 202005 7 8505 6314 10696 13 10 \n", + "9 202004 7 7991 5831 10151 12 9 \n", + "10 202003 7 5968 4100 7836 9 6 \n", + "11 202002 7 6534 4530 8538 10 7 \n", + "12 202001 7 9835 7019 12651 15 11 \n", + "13 201952 7 7941 5246 10636 12 8 \n", + "14 201951 7 5823 3675 7971 9 6 \n", + "15 201950 7 6424 4276 8572 10 7 \n", + "16 201949 7 6621 4540 8702 10 7 \n", + "17 201948 7 5542 3383 7701 8 5 \n", + "18 201947 7 7536 5058 10014 11 7 \n", + "19 201946 7 2638 1316 3960 4 2 \n", + "20 201945 7 4492 2615 6369 7 4 \n", + "21 201944 7 5728 3627 7829 9 6 \n", + "22 201943 7 4834 2751 6917 7 4 \n", + "23 201942 7 6279 3989 8569 10 7 \n", + "24 201941 7 4130 2030 6230 6 3 \n", + "25 201940 7 4211 2218 6204 6 3 \n", + "26 201939 7 3137 1310 4964 5 2 \n", + "27 201938 7 3078 1416 4740 5 2 \n", + "28 201937 7 970 162 1778 1 0 \n", + "29 201936 7 1277 263 2291 2 0 \n", + "... ... ... ... ... ... ... ... \n", + "1500 199126 7 17608 11304 23912 31 20 \n", + "1501 199125 7 16169 10700 21638 28 18 \n", + "1502 199124 7 16171 10071 22271 28 17 \n", + "1503 199123 7 11947 7671 16223 21 13 \n", + "1504 199122 7 15452 9953 20951 27 17 \n", + "1505 199121 7 14903 8975 20831 26 16 \n", + "1506 199120 7 19053 12742 25364 34 23 \n", + "1507 199119 7 16739 11246 22232 29 19 \n", + "1508 199118 7 21385 13882 28888 38 25 \n", + "1509 199117 7 13462 8877 18047 24 16 \n", + "1510 199116 7 14857 10068 19646 26 18 \n", + "1511 199115 7 13975 9781 18169 25 18 \n", + "1512 199114 7 12265 7684 16846 22 14 \n", + "1513 199113 7 9567 6041 13093 17 11 \n", + "1514 199112 7 10864 7331 14397 19 13 \n", + "1515 199111 7 15574 11184 19964 27 19 \n", + "1516 199110 7 16643 11372 21914 29 20 \n", + "1517 199109 7 13741 8780 18702 24 15 \n", + "1518 199108 7 13289 8813 17765 23 15 \n", + "1519 199107 7 12337 8077 16597 22 15 \n", + "1520 199106 7 10877 7013 14741 19 12 \n", + "1521 199105 7 10442 6544 14340 18 11 \n", + "1522 199104 7 7913 4563 11263 14 8 \n", + "1523 199103 7 15387 10484 20290 27 18 \n", + "1524 199102 7 16277 11046 21508 29 20 \n", + "1525 199101 7 15565 10271 20859 27 18 \n", + "1526 199052 7 19375 13295 25455 34 23 \n", + "1527 199051 7 19080 13807 24353 34 25 \n", + "1528 199050 7 11079 6660 15498 20 12 \n", + "1529 199049 7 1143 0 2610 2 0 \n", + "\n", + " inc100_up geo_insee geo_name \n", + "0 14 FR France \n", + "1 16 FR France \n", + "2 19 FR France \n", + "3 18 FR France \n", + "4 26 FR France \n", + "5 20 FR France \n", + "6 18 FR France \n", + "7 18 FR France \n", + "8 16 FR France \n", + "9 15 FR France \n", + "10 12 FR France \n", + "11 13 FR France \n", + "12 19 FR France \n", + "13 16 FR France \n", + "14 12 FR France \n", + "15 13 FR France \n", + "16 13 FR France \n", + "17 11 FR France \n", + "18 15 FR France \n", + "19 6 FR France \n", + "20 10 FR France \n", + "21 12 FR France \n", + "22 10 FR France \n", + "23 13 FR France \n", + "24 9 FR France \n", + "25 9 FR France \n", + "26 8 FR France \n", + "27 8 FR France \n", + "28 2 FR France \n", + "29 4 FR France \n", + "... ... ... ... \n", + "1500 42 FR France \n", + "1501 38 FR France \n", + "1502 39 FR France \n", + "1503 29 FR France \n", + "1504 37 FR France \n", + "1505 36 FR France \n", + "1506 45 FR France \n", + "1507 39 FR France \n", + "1508 51 FR France \n", + "1509 32 FR France \n", + "1510 34 FR France \n", + "1511 32 FR France \n", + "1512 30 FR France \n", + "1513 23 FR France \n", + "1514 25 FR France \n", + "1515 35 FR France \n", + "1516 38 FR France \n", + "1517 33 FR France \n", + "1518 31 FR France \n", + "1519 29 FR France \n", + "1520 26 FR France \n", + "1521 25 FR France \n", + "1522 20 FR France \n", + "1523 36 FR France \n", + "1524 38 FR France \n", + "1525 36 FR France \n", + "1526 45 FR France \n", + "1527 43 FR France \n", + "1528 28 FR France \n", + "1529 5 FR France \n", + "\n", + "[1530 rows x 10 columns]" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "raw_data = pd.read_csv(data_file, skiprows=1)\n", + "raw_data" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
weekindicatorincinc_lowinc_upinc100inc100_lowinc100_upgeo_inseegeo_name
\n", + "
" + ], + "text/plain": [ + "Empty DataFrame\n", + "Columns: [week, indicator, inc, inc_low, inc_up, inc100, inc100_low, inc100_up, geo_insee, geo_name]\n", + "Index: []" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "raw_data[raw_data.isnull().any(axis=1)]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Il n'y a pas de données manquantes a priori. On utilise les données telles quelles" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "data = raw_data" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "hideCode": true + }, + "source": [ + "Les données ont un format inabituel, qu'il convient de convertir" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "def convert_week(year_and_week_int):\n", + " year_and_week_str = str(year_and_week_int)\n", + " year=int(year_and_week_str[:4])\n", + " week=int(year_and_week_str[4:])\n", + " w=isoweek.Week(year,week)\n", + " return pd.Period(w.day(0), 'W')\n", + "\n", + "data['period'] = [convert_week(yw) for yw in data['week']]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Il rest deux petites modifications à faire : \n", + "\n", + "- Définir les périodes d'observation comme nouvel index de notre jeu de données\n", + "- Trier les points chronologiquement" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "sorted_data = data.set_index('period').sort_index()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Nous vérifions la cohérence des données. Entre la fin d'une période et\n", + "le début de la période qui suit, la différence temporelle doit être\n", + "zéro, ou au moins très faible. Nous laissons une \"marge d'erreur\"\n", + "d'une seconde." + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "periods = sorted_data.index\n", + "for p1, p2 in zip(periods[:-1], periods[1:]):\n", + " delta = p2.to_timestamp() - p1.end_time\n", + " if delta > pd.Timedelta('1s'):\n", + " print(p1, p2)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "hideCode": true + }, + "source": [ + "Il n'y a aucune semaine manquante." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Regardons les données :" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "sorted_data['inc'][-65:].plot()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "La maladie semble progresser de septembre à juillet pour décroître drastiquement pendant l'été." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Etude de l'incidence annuelle\n", + "\n", + "Nous définissons la période de référence entre deux minima de l'incidence, du 1er septembre de l'année $N$ au\n", + "1er août de l'année $N+1$.\n", + "\n", + "Notre tâche est un peu compliquée par le fait que l'année ne comporte pas un nombre entier de semaines. Nous modifions donc un peu nos périodes de référence: à la place du 1er septembre de chaque année, nous utilisons le\n", + "premier jour de la semaine qui contient le 1er septembre.\n", + "\n", + "Comme l'incidence de la varicelle est faible en août, cela risque moins de fausser notre analyse\n", + "\n", + "Encore un petit détail: les données commencent en novembre 1990, ce qui rend la première année incomplète. Nous commençons donc l'analyse en 1991." + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [], + "source": [ + "first_august_week = [pd.Period(pd.Timestamp(y, 9, 1), 'W')\n", + " for y in range(1991,\n", + " sorted_data.index[-1].year)]" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [], + "source": [ + "year = []\n", + "yearly_incidence = []\n", + "for week1, week2 in zip(first_august_week[:-1],\n", + " first_august_week[1:]):\n", + " one_year = sorted_data['inc'][week1:week2-1]\n", + " assert abs(len(one_year)-52) < 2\n", + " yearly_incidence.append(one_year.sum())\n", + " year.append(week2.year)\n", + "yearly_incidence = pd.Series(data=yearly_incidence, index=year)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Voici les incidences annuelles" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", 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] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "yearly_incidence.sort_values()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Enfin, un histogramme montre bien qu'il y a surtout des épidémies faibles à moyennes : 90 % des épidémies touchent moins de 1 % de la population." + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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