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82.49999999999999 + DZOUMOGNE + + + + 209 + 171.382457786 + 53.65384615384623 + M'TSANGAMOUJI + + + + 312 + 250.85478424 + 24.80769230769236 + ZAKIA MADI + + + + + + + + + + + diff --git a/3ePasserelles/Gestion_donnees/Lecture_tableau_graphiques/Resultats DNB 2017 Mayotte.ipynb b/3ePasserelles/Gestion_donnees/Lecture_tableau_graphiques/Resultats DNB 2017 Mayotte.ipynb new file mode 100644 index 0000000..e21c698 --- /dev/null +++ b/3ePasserelles/Gestion_donnees/Lecture_tableau_graphiques/Resultats DNB 2017 Mayotte.ipynb @@ -0,0 +1,1213 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Résultats du DNB session 2017 à Mayotte" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "import pandas as pd" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "dnb2017 = pd.read_csv(\"./resltat_dnb_2017.csv\")" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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CollègeVillePrésents\n", + "au DNBTaux de réussiteTaux de mentions
0SADASada22981.66 %49.78 %
1KANI-KELIKani keli15885.44 %48.10 %
2BANDRELEBandrele17678.41 %47.73 %
3PASSAMAINTYMamoudzou34487.21 %47.67 %
4KAWENI 1Mamoudzou33386.79 %47.15 %
5KAWENI 2Mamoudzou27387.91 %45.79 %
6TSIMKOURAChirongui30384.82 %44.55 %
7ZENA M'DEREPamandzi34873.28 %43.68 %
8MTSAMBOROMtsamboro20375.37 %42.86 %
9NELSON MANDELAMamoudzou39880.15 %41.71 %
10BOUENI M TITIDzaoudzi35279.26 %41.19 %
11ALI HALIDIChiconi34880.46 %40.23 %
12TSINGONITsingoni27576.36 %40.00 %
13KOUNGOUKoungou40082.00 %38.75 %
14M'GOMBANIMamoudzou38573.77 %37.40 %
15DZOUMOGNEBandraboua24478.28 %36.89 %
16M'TSANGAMOUJIM tsangamouji26479.17 %35.23 %
17ZAKIA MADIDembeni40677.09 %34.98 %
\n", + "
" + ], + "text/plain": [ + " Collège Ville Présents\\nau DNB Taux de réussite \\\n", + "0 SADA Sada 229 81.66 % \n", + "1 KANI-KELI Kani keli 158 85.44 % \n", + "2 BANDRELE Bandrele 176 78.41 % \n", + "3 PASSAMAINTY Mamoudzou 344 87.21 % \n", + "4 KAWENI 1 Mamoudzou 333 86.79 % \n", + "5 KAWENI 2 Mamoudzou 273 87.91 % \n", + "6 TSIMKOURA Chirongui 303 84.82 % \n", + "7 ZENA M'DERE Pamandzi 348 73.28 % \n", + "8 MTSAMBORO Mtsamboro 203 75.37 % \n", + "9 NELSON MANDELA Mamoudzou 398 80.15 % \n", + "10 BOUENI M TITI Dzaoudzi 352 79.26 % \n", + "11 ALI HALIDI Chiconi 348 80.46 % \n", + "12 TSINGONI Tsingoni 275 76.36 % \n", + "13 KOUNGOU Koungou 400 82.00 % \n", + "14 M'GOMBANI Mamoudzou 385 73.77 % \n", + "15 DZOUMOGNE Bandraboua 244 78.28 % \n", + "16 M'TSANGAMOUJI M tsangamouji 264 79.17 % \n", + "17 ZAKIA MADI Dembeni 406 77.09 % \n", + "\n", + " Taux de mentions \n", + "0 49.78 % \n", + "1 48.10 % \n", + "2 47.73 % \n", + "3 47.67 % \n", + "4 47.15 % \n", + "5 45.79 % \n", + "6 44.55 % \n", + "7 43.68 % \n", + "8 42.86 % \n", + "9 41.71 % \n", + "10 41.19 % \n", + "11 40.23 % \n", + "12 40.00 % \n", + "13 38.75 % \n", + "14 37.40 % \n", + "15 36.89 % \n", + "16 35.23 % \n", + "17 34.98 % " + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dnb2017" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "def p2f(x):\n", + " return float(x.strip('%'))/100" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "dnb2017 = dnb2017.assign(\n", + " tx_mention = dnb2017['Taux de mentions'].apply(p2f),\n", + " tx_admis = dnb2017['Taux de réussite'].apply(p2f),\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "dnb2017 = dnb2017.assign(\n", + " nbr_admis = (dnb2017[\"Présents\\nau DNB\"] * dnb2017[\"tx_admis\"]).astype(int),\n", + " nbr_mentions = (dnb2017[\"Présents\\nau DNB\"] * dnb2017[\"tx_mention\"]).astype(int),\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "dnb2017 = dnb2017.assign(\n", + " nbr_sans_mentions = dnb2017['nbr_admis'] - dnb2017['nbr_mentions']\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "dnb2017 = dnb2017.assign(\n", + " tx_non_admis = 1 - dnb2017[\"tx_admis\"],\n", + " tx_sans_mention = dnb2017['tx_admis'] - dnb2017['tx_mention']\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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CollègeVillePrésents\n", + "au DNBTaux de réussiteTaux de mentionstx_admistx_mentionnbr_admisnbr_mentionsnbr_sans_mentionstx_non_admistx_sans_mention
0SADASada22981.66 %49.78 %0.81660.4978187113740.18340.3188
1KANI-KELIKani keli15885.44 %48.10 %0.85440.481013475590.14560.3734
2BANDRELEBandrele17678.41 %47.73 %0.78410.477313884540.21590.3068
3PASSAMAINTYMamoudzou34487.21 %47.67 %0.87210.47673001631370.12790.3954
4KAWENI 1Mamoudzou33386.79 %47.15 %0.86790.47152891571320.13210.3964
5KAWENI 2Mamoudzou27387.91 %45.79 %0.87910.45792391251140.12090.4212
6TSIMKOURAChirongui30384.82 %44.55 %0.84820.44552571341230.15180.4027
7ZENA M'DEREPamandzi34873.28 %43.68 %0.73280.43682551521030.26720.2960
8MTSAMBOROMtsamboro20375.37 %42.86 %0.75370.428615387660.24630.3251
9NELSON MANDELAMamoudzou39880.15 %41.71 %0.80150.41713181661520.19850.3844
10BOUENI M TITIDzaoudzi35279.26 %41.19 %0.79260.41192781441340.20740.3807
11ALI HALIDIChiconi34880.46 %40.23 %0.80460.40232801401400.19540.4023
12TSINGONITsingoni27576.36 %40.00 %0.76360.4000209110990.23640.3636
13KOUNGOUKoungou40082.00 %38.75 %0.82000.38753281551730.18000.4325
14M'GOMBANIMamoudzou38573.77 %37.40 %0.73770.37402841431410.26230.3637
15DZOUMOGNEBandraboua24478.28 %36.89 %0.78280.3689191901010.21720.4139
16M'TSANGAMOUJIM tsangamouji26479.17 %35.23 %0.79170.3523209931160.20830.4394
17ZAKIA MADIDembeni40677.09 %34.98 %0.77090.34983121421700.22910.4211
\n", + "
" + ], + "text/plain": [ + " Collège Ville Présents\\nau DNB Taux de réussite \\\n", + "0 SADA Sada 229 81.66 % \n", + "1 KANI-KELI Kani keli 158 85.44 % \n", + "2 BANDRELE Bandrele 176 78.41 % \n", + "3 PASSAMAINTY Mamoudzou 344 87.21 % \n", + "4 KAWENI 1 Mamoudzou 333 86.79 % \n", + "5 KAWENI 2 Mamoudzou 273 87.91 % \n", + "6 TSIMKOURA Chirongui 303 84.82 % \n", + "7 ZENA M'DERE Pamandzi 348 73.28 % \n", + "8 MTSAMBORO Mtsamboro 203 75.37 % \n", + "9 NELSON MANDELA Mamoudzou 398 80.15 % \n", + "10 BOUENI M TITI Dzaoudzi 352 79.26 % \n", + "11 ALI HALIDI Chiconi 348 80.46 % \n", + "12 TSINGONI Tsingoni 275 76.36 % \n", + "13 KOUNGOU Koungou 400 82.00 % \n", + "14 M'GOMBANI Mamoudzou 385 73.77 % \n", + "15 DZOUMOGNE Bandraboua 244 78.28 % \n", + "16 M'TSANGAMOUJI M tsangamouji 264 79.17 % \n", + "17 ZAKIA MADI Dembeni 406 77.09 % \n", + "\n", + " Taux de mentions tx_admis tx_mention nbr_admis nbr_mentions \\\n", + "0 49.78 % 0.8166 0.4978 187 113 \n", + "1 48.10 % 0.8544 0.4810 134 75 \n", + "2 47.73 % 0.7841 0.4773 138 84 \n", + "3 47.67 % 0.8721 0.4767 300 163 \n", + "4 47.15 % 0.8679 0.4715 289 157 \n", + "5 45.79 % 0.8791 0.4579 239 125 \n", + "6 44.55 % 0.8482 0.4455 257 134 \n", + "7 43.68 % 0.7328 0.4368 255 152 \n", + "8 42.86 % 0.7537 0.4286 153 87 \n", + "9 41.71 % 0.8015 0.4171 318 166 \n", + "10 41.19 % 0.7926 0.4119 278 144 \n", + "11 40.23 % 0.8046 0.4023 280 140 \n", + "12 40.00 % 0.7636 0.4000 209 110 \n", + "13 38.75 % 0.8200 0.3875 328 155 \n", + "14 37.40 % 0.7377 0.3740 284 143 \n", + "15 36.89 % 0.7828 0.3689 191 90 \n", + "16 35.23 % 0.7917 0.3523 209 93 \n", + "17 34.98 % 0.7709 0.3498 312 142 \n", + "\n", + " nbr_sans_mentions tx_non_admis tx_sans_mention \n", + "0 74 0.1834 0.3188 \n", + "1 59 0.1456 0.3734 \n", + "2 54 0.2159 0.3068 \n", + "3 137 0.1279 0.3954 \n", + "4 132 0.1321 0.3964 \n", + "5 114 0.1209 0.4212 \n", + "6 123 0.1518 0.4027 \n", + "7 103 0.2672 0.2960 \n", + "8 66 0.2463 0.3251 \n", + "9 152 0.1985 0.3844 \n", + "10 134 0.2074 0.3807 \n", + "11 140 0.1954 0.4023 \n", + "12 99 0.2364 0.3636 \n", + "13 173 0.1800 0.4325 \n", + "14 141 0.2623 0.3637 \n", + "15 101 0.2172 0.4139 \n", + "16 116 0.2083 0.4394 \n", + "17 170 0.2291 0.4211 " + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dnb2017" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Index(['Collège', 'Ville', 'Présents\\nau DNB', 'Taux de réussite',\n", + " 'Taux de mentions', 'tx_admis', 'tx_mention', 'nbr_admis',\n", + " 'nbr_mentions', 'nbr_sans_mentions', 'tx_non_admis', 'tx_sans_mention'],\n", + " dtype='object')" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dnb2017.columns" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": { + "scrolled": true + }, + "outputs": [], + "source": [ + "dnb2017_ville = dnb2017.groupby('Ville')['Présents\\nau DNB', 'nbr_admis', 'nbr_mentions', 'nbr_sans_mentions'].sum()" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [], + "source": [ + "dnb2017_ville = dnb2017_ville.assign(\n", + " nbr_non_admis = dnb2017_ville['Présents\\nau DNB'] - dnb2017_ville['nbr_admis']\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": {}, + "outputs": [], + "source": [ + "dnb2017_ville = dnb2017_ville.assign(\n", + " tx_non_admis = dnb2017_ville['nbr_non_admis'] / dnb2017_ville['Présents\\nau DNB'] * 100,\n", + " tx_sans_mention = dnb2017_ville['nbr_sans_mentions'] / dnb2017_ville['Présents\\nau DNB'] * 100,\n", + " tx_avec_mention = dnb2017_ville['nbr_mentions'] / dnb2017_ville['Présents\\nau DNB'] * 100,\n", + " )" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": {}, + "outputs": [], + "source": [ + "dnb2017_ville = dnb2017_ville.reset_index()" + ] + }, + { + "cell_type": "code", + "execution_count": 68, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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VillePrésents\n", + "au DNBnbr_admisnbr_mentionsnbr_sans_mentionsnbr_non_admistx_avec_mentiontx_non_admistx_sans_mention
0Bandraboua244191901015336.88524621.72131141.393443
1Bandrele17613884543847.72727321.59090930.681818
2Chiconi3482801401406840.22988519.54023040.229885
3Chirongui3032571341234644.22442215.18151840.594059
4Dembeni4063121421709434.97536923.15270941.871921
5Dzaoudzi3522781441347440.90909121.02272738.068182
6Kani keli15813475592447.46835415.18987337.341772
7Koungou4003281551737238.75000018.00000043.250000
8M tsangamouji264209931165535.22727320.83333343.939394
9Mamoudzou1733143075467630343.50836717.48413239.007501
10Mtsamboro20315387665042.85714324.63054232.512315
11Pamandzi3482551521039343.67816126.72413829.597701
12Sada229187113744249.34497818.34061132.314410
13Tsingoni275209110996640.00000024.00000036.000000
\n", + "
" + ], + "text/plain": [ + " Ville Présents\\nau DNB nbr_admis nbr_mentions \\\n", + "0 Bandraboua 244 191 90 \n", + "1 Bandrele 176 138 84 \n", + "2 Chiconi 348 280 140 \n", + "3 Chirongui 303 257 134 \n", + "4 Dembeni 406 312 142 \n", + "5 Dzaoudzi 352 278 144 \n", + "6 Kani keli 158 134 75 \n", + "7 Koungou 400 328 155 \n", + "8 M tsangamouji 264 209 93 \n", + "9 Mamoudzou 1733 1430 754 \n", + "10 Mtsamboro 203 153 87 \n", + "11 Pamandzi 348 255 152 \n", + "12 Sada 229 187 113 \n", + "13 Tsingoni 275 209 110 \n", + "\n", + " nbr_sans_mentions nbr_non_admis tx_avec_mention tx_non_admis \\\n", + "0 101 53 36.885246 21.721311 \n", + "1 54 38 47.727273 21.590909 \n", + "2 140 68 40.229885 19.540230 \n", + "3 123 46 44.224422 15.181518 \n", + "4 170 94 34.975369 23.152709 \n", + "5 134 74 40.909091 21.022727 \n", + "6 59 24 47.468354 15.189873 \n", + "7 173 72 38.750000 18.000000 \n", + "8 116 55 35.227273 20.833333 \n", + "9 676 303 43.508367 17.484132 \n", + "10 66 50 42.857143 24.630542 \n", + "11 103 93 43.678161 26.724138 \n", + "12 74 42 49.344978 18.340611 \n", + "13 99 66 40.000000 24.000000 \n", + "\n", + " tx_sans_mention \n", + "0 41.393443 \n", + "1 30.681818 \n", + "2 40.229885 \n", + "3 40.594059 \n", + "4 41.871921 \n", + "5 38.068182 \n", + "6 37.341772 \n", + "7 43.250000 \n", + "8 43.939394 \n", + "9 39.007501 \n", + "10 32.512315 \n", + "11 29.597701 \n", + "12 32.314410 \n", + "13 36.000000 " + ] + }, + "execution_count": 68, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dnb2017_ville" + ] + }, + { + "cell_type": "code", + "execution_count": 65, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "import pygal\n", + "from pygal.style import Style\n", + "custom_style = Style(\n", + " font_family = \"Ubuntu Mono derivative Powerline\",\n", + " value_font_size = 12,\n", + " legend_font_size = 12,\n", + " title_font_size = 14,\n", + " background='transparent',\n", + " plot_background='transparent',\n", + " #background = \"ffffff00\",\n", + " #plot_background = \"ffffff00\",\n", + " \n", + ")\n", + "from IPython.display import HTML\n", + "from pygal.style import RedBlueStyle" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Camenberts pour chaque ville" + ] + }, + { + "cell_type": "code", + "execution_count": 66, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Index(['Ville', 'Présents\\nau DNB', 'nbr_admis', 'nbr_mentions',\n", + " 'nbr_sans_mentions', 'nbr_non_admis', 'tx_avec_mention', 'tx_non_admis',\n", + " 'tx_sans_mention'],\n", + " dtype='object')" + ] + }, + "execution_count": 66, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dnb2017_ville.columns" + ] + }, + { + "cell_type": "code", + "execution_count": 67, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "for ix, clg in dnb2017.iterrows():\n", + " pie_chart = pygal.Pie(width=200, height=200,\n", + " print_values=True, show_legend=False,\n", + " #legend_at_bottom=True, legend_at_bottom_columns=3, truncate_legend=20,\n", + " inner_radius=.5, formatter=lambda x:f\"{int(round(x*100,0))} %\",\\\n", + " style=RedBlueStyle)\n", + " #style=custom_style)\n", + " pie_chart.title = f\"{clg['Ville']}\"\n", + " pie_chart.add('Non admis', [{'value': clg['tx_non_admis'], 'label': \"plop\"}])\n", + " pie_chart.add('Admis sans mention', clg['tx_sans_mention'])\n", + " pie_chart.add('Admis avec mention', clg['tx_mention'])\n", + " pie_chart.render_to_file(f\"./fig/pie_{clg['Ville']}.svg\")\n", + " #pie_chart.render_to_png(f\"./fig/pie_{clg['Collège']}.png\")\n", + " #display({'image/svg+xml': pie_chart.render()}, raw=True)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Diagramme du nombre d'admis en fonction du collège" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "values = dnb2017['nbr_admis']\n", + "labels = dnb2017['Collège']" + ] + }, + { + "cell_type": "code", + "execution_count": 73, + "metadata": {}, + "outputs": [ + { + "data": { + "image/svg+xml": [ + "\n", + "PygalSADA0.02777777778KANI-KELI0.08333333333BANDRELE0.1388888889PASSAMAINTY0.1944444444KAWENI 10.25KAWENI 20.3055555556TSIMKOURA0.3611111111ZENA M'DERE0.4166666667MTSAMBORO0.4722222222NELSON MANDELA0.5277777778BOUENI M TITI0.5833333333ALI HALIDI0.6388888889TSINGONI0.6944444444KOUNGOU0.75M'GOMBANI0.8055555556DZOUMOGNE0.8611111111M'TSANGAMOUJI0.9166666667ZAKIA MADI0.972222222204080120160200240280320187154.407786116515.1923076923076SADA134113.514258912486.34615384615387KANI-KELI138116.600562852457.5BANDRELE300241.59587242428.6538461538462PASSAMAINTY289233.108536585399.8076923076924KAWENI 1239194.529737336370.96153846153845KAWENI 2257208.418105066342.11538461538464TSIMKOURA255206.874953096313.2692307692308ZENA M'DERE153128.174202627284.42307692307696MTSAMBORO318255.48424015255.57692307692307NELSON MANDELA278224.62120075226.7307692307692BOUENI M TITI280226.16435272197.8846153846154ALI HALIDI209171.382457786169.03846153846152TSINGONI328263.2140.1923076923077KOUNGOU284229.25065666111.34615384615385M'GOMBANI191157.49409005682.49999999999999DZOUMOGNE209171.38245778653.65384615384623M'TSANGAMOUJI312250.8547842424.80769230769236ZAKIA MADINombre d'admis" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "bar_chart = pygal.HorizontalBar(style=RedBlueStyle)\n", + "#bar_chart = pygal.Bar(x_label_rotation=90, style=custom_style)\n", + "bar_chart.add(\"Nombre d'admis\", values)\n", + "bar_chart.x_labels = labels\n", + "display({'image/svg+xml': bar_chart.render()}, raw=True)\n", + "#bar_chart.render_to_file(f\"./fig/bar_admis_clg.svg\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.6.2" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/3ePasserelles/Gestion_donnees/Lecture_tableau_graphiques/fig/Mayotte_blank_map.svg b/3ePasserelles/Gestion_donnees/Lecture_tableau_graphiques/fig/Mayotte_blank_map.svg new file mode 100644 index 0000000..2acf92a --- /dev/null +++ b/3ePasserelles/Gestion_donnees/Lecture_tableau_graphiques/fig/Mayotte_blank_map.svg @@ -0,0 +1,930 @@ + + + + + + + + image/svg+xml + + Map of Mayotte + March 2009 + + + Remi Kaupp + + + + + + CC-BY-SA + + + fr + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + 45°00'E + 45°10'E + 45°20'E + + 13°00'S + 12°50'S + 12°40'S + + + + + 0 + 20 + (km) + + + 0 + 10 + (mi) + + + + Projection UTM - WGS84 datum + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/3ePasserelles/Gestion_donnees/Lecture_tableau_graphiques/fig/bar_admis_clg.svg b/3ePasserelles/Gestion_donnees/Lecture_tableau_graphiques/fig/bar_admis_clg.svg new file mode 100644 index 0000000..c2a3f3c --- /dev/null +++ b/3ePasserelles/Gestion_donnees/Lecture_tableau_graphiques/fig/bar_admis_clg.svg @@ -0,0 +1,4 @@ + +PygalSADA0.02777777778KANI-KELI0.08333333333BANDRELE0.1388888889PASSAMAINTY0.1944444444KAWENI 10.25KAWENI 20.3055555556TSIMKOURA0.3611111111ZENA M'DERE0.4166666667MTSAMBORO0.4722222222NELSON MANDELA0.5277777778BOUENI M TITI0.5833333333ALI HALIDI0.6388888889TSINGONI0.6944444444KOUNGOU0.75M'GOMBANI0.8055555556DZOUMOGNE0.8611111111M'TSANGAMOUJI0.9166666667ZAKIA MADI0.972222222204080120160200240280320187154.407786116515.1923076923076SADA134113.514258912486.34615384615387KANI-KELI138116.600562852457.5BANDRELE300241.59587242428.6538461538462PASSAMAINTY289233.108536585399.8076923076924KAWENI 1239194.529737336370.96153846153845KAWENI 2257208.418105066342.11538461538464TSIMKOURA255206.874953096313.2692307692308ZENA M'DERE153128.174202627284.42307692307696MTSAMBORO318255.48424015255.57692307692307NELSON MANDELA278224.62120075226.7307692307692BOUENI M TITI280226.16435272197.8846153846154ALI HALIDI209171.382457786169.03846153846152TSINGONI328263.2140.1923076923077KOUNGOU284229.25065666111.34615384615385M'GOMBANI191157.49409005682.49999999999999DZOUMOGNE209171.38245778653.65384615384623M'TSANGAMOUJI312250.8547842424.80769230769236ZAKIA MADINombre d'admis \ No newline at end of file diff --git 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