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Indiquez votre genre :Quel est votre pays de résidence ?Quelle est votre ville de résidence ?Quelle est votre année de naissance ?Quel est votre niveau de formation ?Quelle est votre langue maternelle ?Quelle est votre langue maternelle ? [Autre]Quelle est votre situation professionnelle ?Quelle est votre situation professionnelle ? [Autre]Pourquoi suivez-vous ce MOOC ?...Durée pour le groupe : Commentaires additionnelsDurée pour la question: F22FUNDurée pour le groupe : Questions de l'équipe du MOOCDurée pour la question: F00EMDurée pour la question: DILLparcoursDurée pour la question: DILLsatisfactionDurée pour la question: DILLoutilsDurée pour la question: DILLpositifsDurée pour la question: DILLpropositionDurée pour la question: DILLforum
Question cachée pour enregistrer l'ID anonymisé des apprenants.
217ba8a7fafa77ac394998c6998cc603MasculinFranceGrenoble1994.0DoctoratFrançaisNaNÉtudiantNaNJe l'ai fait de ma propre initiative...8.77NaN49.02NaNNaNNaNNaNNaNNaNNaN
57b9d1400938c1a73c89812eb7af6bdcMasculinFranceLyon1995.0DoctoratFrançaisNaNÉtudiantNaNIl était conseillé par un professeur mais facu......105.55NaN178.32NaNNaNNaNNaNNaNNaNNaN
3fc2553edccc8ce04ff4284658a43487MasculinFranceRennes1988.0DoctoratFrançaisNaNAutreDoctorantNaN...15.15NaN622.79NaNNaNNaNNaNNaNNaNNaN
b0d8849cabfd978d26bf972a065187abMasculinFrancePoitiers1996.0Master / Diplôme d'ingénieurFrançaisNaNÉtudiantNaNIl était conseillé par un professeur mais facu......5.81NaN36.49NaNNaNNaNNaNNaNNaNNaN
754f45c6a8f0b015f5e6ca7cf5ef80b6FémininFranceParis1992.0DoctoratFrançaisNaNEn recherche d'emploiNaNNaN...11.18NaN163.93NaNNaNNaNNaNNaNNaNNaN
f7761dbf5e688ce6ed562c39d3e11475FémininFranceGrenoble1983.0Master / Diplôme d'ingénieurFrançaisNaNAutreDoctorantNaN...278.59NaN172.76NaNNaNNaNNaNNaNNaNNaN
2386bd0a28a48d17116638ec221d560dMasculinFranceGrenoble1995.0Master / Diplôme d'ingénieurFrançaisNaNÉtudiantNaNIl était conseillé par un professeur mais facu......5.95NaN30.18NaNNaNNaNNaNNaNNaNNaN
c1be096ce5a0b3b0084e344aef021f79FémininFranceGrenoble1993.0DoctoratFrançaisNaNAutreDoctoranteNaN...5.93NaN34.27NaNNaNNaNNaNNaNNaNNaN
561f29363a95279df3290b2b9e82d6e0FémininFranceNANCY1995.0Master / Diplôme d'ingénieurFrançaisNaNÉtudiantNaNJe l'ai fait de ma propre initiative...3.42NaN47.38NaNNaNNaNNaNNaNNaNNaN
ec9afc2f389140fd3f1bffb60bd86a40FémininFranceMontpellier1994.0DoctoratFrançaisNaNÉtudiantNaNJe l'ai fait de ma propre initiative...3.08NaN22.20NaNNaNNaNNaNNaNNaNNaN
db689cfbd0b4e3bd8e301c603975e6c8MasculinFranceGrenoble1995.0Master / Diplôme d'ingénieurFrançaisNaNAutreDoctorantNaN...5.37NaN536.36NaNNaNNaNNaNNaNNaNNaN
74770e64a71b0b5f820b020426051f03FémininFranceFontenay-aux-roses1995.0Master / Diplôme d'ingénieurFrançaisNaNSalarié en activitéNaNNaN...24.23NaN227.22NaNNaNNaNNaNNaNNaNNaN
ea207563bd2097b8bc663c0fd8f8e38aMasculinFranceSaint-Louis1994.0DoctoratFrançaisNaNÉtudiantNaNIl était conseillé par un professeur mais facu......6.18NaN82.83NaNNaNNaNNaNNaNNaNNaN
2bee89fcead0b44bf5febf8e2fed610dFémininFranceGrenoble1996.0Master / Diplôme d'ingénieurFrançaisNaNÉtudiantNaNIl était obligatoire dans le cadre de mon cursus...4.32NaN32.58NaNNaNNaNNaNNaNNaNNaN
5da49e44873587b02454888c63deb52fMasculinFranceGrenoble1995.0Master / Diplôme d'ingénieurFrançaisNaNÉtudiantNaNIl était conseillé par un professeur mais facu......397.70NaN125.17NaNNaNNaNNaNNaNNaNNaN
639fe20eabd06f996a7db5869873ab64MasculinFranceBordeaux1988.0DoctoratFrançaisNaNSalarié en activitéNaNNaN...4.00NaN76.29NaNNaNNaNNaNNaNNaNNaN
903ba28f62ed8331f61b08d02bfc7573MasculinTunisieTunis1992.0DoctoratAutreArabeÉtudiantNaNIl était obligatoire dans le cadre de mon cursus...5.65NaN55.19NaNNaNNaNNaNNaNNaNNaN
ced38cde67fec1edb24638c4c3b98dd3MasculinFranceCalais1995.0Master / Diplôme d'ingénieurFrançaisNaNAutreDoctorantNaN...18.11NaN406.64NaNNaNNaNNaNNaNNaNNaN
ef43fa481d86f164e9cae5ed6b8625cdFémininFrancemontrouge1967.0Master / Diplôme d'ingénieurFrançaisNaNSalarié en activitéNaNNaN...7.56NaN38.72NaNNaNNaNNaNNaNNaNNaN
08746c38508e5f7e5cd043e919a322cdMasculinFrancePARIS1967.0Master / Diplôme d'ingénieurFrançaisNaNSalarié en activitéNaNNaN...5.59NaN109.17NaNNaNNaNNaNNaNNaNNaN
209e6fa51d4c3fee4545b21fdd7eca8bMasculinFranceRennes1993.0Master / Diplôme d'ingénieurFrançaisNaNAutreDoctorantNaN...6.14NaN71.36NaNNaNNaNNaNNaNNaNNaN
af9b058c03104c60f98b72ff537392fbMasculinFranceChâteaufort1953.0Master / Diplôme d'ingénieurFrançaisNaNRetraitéNaNNaN...12.49NaN216.56NaNNaNNaNNaNNaNNaNNaN
fa262f8c0f20ff60b18258db792d9f46MasculinFranceLaval1996.0DoctoratFrançaisNaNÉtudiantNaNIl était conseillé par un professeur mais facu......3.89NaN184.86NaNNaNNaNNaNNaNNaNNaN
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23 rows × 279 columns

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" ], "text/plain": [ " Indiquez votre genre : \\\n", "Question cachée pour enregistrer l'ID anonymisé... \n", "217ba8a7fafa77ac394998c6998cc603 Masculin \n", "57b9d1400938c1a73c89812eb7af6bdc Masculin \n", "3fc2553edccc8ce04ff4284658a43487 Masculin \n", "b0d8849cabfd978d26bf972a065187ab Masculin \n", "754f45c6a8f0b015f5e6ca7cf5ef80b6 Féminin \n", "f7761dbf5e688ce6ed562c39d3e11475 Féminin \n", "2386bd0a28a48d17116638ec221d560d Masculin \n", "c1be096ce5a0b3b0084e344aef021f79 Féminin \n", "561f29363a95279df3290b2b9e82d6e0 Féminin \n", "ec9afc2f389140fd3f1bffb60bd86a40 Féminin \n", "db689cfbd0b4e3bd8e301c603975e6c8 Masculin \n", "74770e64a71b0b5f820b020426051f03 Féminin \n", "ea207563bd2097b8bc663c0fd8f8e38a Masculin \n", "2bee89fcead0b44bf5febf8e2fed610d Féminin \n", "5da49e44873587b02454888c63deb52f Masculin \n", "639fe20eabd06f996a7db5869873ab64 Masculin \n", "903ba28f62ed8331f61b08d02bfc7573 Masculin \n", "ced38cde67fec1edb24638c4c3b98dd3 Masculin \n", "ef43fa481d86f164e9cae5ed6b8625cd Féminin \n", "08746c38508e5f7e5cd043e919a322cd Masculin \n", "209e6fa51d4c3fee4545b21fdd7eca8b Masculin \n", "af9b058c03104c60f98b72ff537392fb Masculin \n", "fa262f8c0f20ff60b18258db792d9f46 Masculin \n", "\n", " Quel est votre pays de résidence ? \\\n", "Question cachée pour enregistrer l'ID anonymisé... \n", "217ba8a7fafa77ac394998c6998cc603  France \n", "57b9d1400938c1a73c89812eb7af6bdc  France \n", "3fc2553edccc8ce04ff4284658a43487  France \n", "b0d8849cabfd978d26bf972a065187ab  France \n", "754f45c6a8f0b015f5e6ca7cf5ef80b6  France \n", "f7761dbf5e688ce6ed562c39d3e11475  France \n", "2386bd0a28a48d17116638ec221d560d  France \n", "c1be096ce5a0b3b0084e344aef021f79  France \n", "561f29363a95279df3290b2b9e82d6e0  France \n", "ec9afc2f389140fd3f1bffb60bd86a40  France \n", "db689cfbd0b4e3bd8e301c603975e6c8  France \n", "74770e64a71b0b5f820b020426051f03  France \n", "ea207563bd2097b8bc663c0fd8f8e38a  France \n", "2bee89fcead0b44bf5febf8e2fed610d  France \n", "5da49e44873587b02454888c63deb52f  France \n", "639fe20eabd06f996a7db5869873ab64  France \n", "903ba28f62ed8331f61b08d02bfc7573  Tunisie \n", "ced38cde67fec1edb24638c4c3b98dd3  France \n", "ef43fa481d86f164e9cae5ed6b8625cd  France \n", "08746c38508e5f7e5cd043e919a322cd  France \n", "209e6fa51d4c3fee4545b21fdd7eca8b  France \n", "af9b058c03104c60f98b72ff537392fb  France \n", "fa262f8c0f20ff60b18258db792d9f46  France \n", "\n", " Quelle est votre ville de résidence ? \\\n", "Question cachée pour enregistrer l'ID anonymisé... \n", "217ba8a7fafa77ac394998c6998cc603 Grenoble \n", "57b9d1400938c1a73c89812eb7af6bdc Lyon \n", "3fc2553edccc8ce04ff4284658a43487 Rennes \n", "b0d8849cabfd978d26bf972a065187ab Poitiers \n", "754f45c6a8f0b015f5e6ca7cf5ef80b6 Paris \n", "f7761dbf5e688ce6ed562c39d3e11475 Grenoble \n", "2386bd0a28a48d17116638ec221d560d Grenoble \n", "c1be096ce5a0b3b0084e344aef021f79 Grenoble \n", "561f29363a95279df3290b2b9e82d6e0 NANCY \n", "ec9afc2f389140fd3f1bffb60bd86a40 Montpellier \n", "db689cfbd0b4e3bd8e301c603975e6c8 Grenoble \n", "74770e64a71b0b5f820b020426051f03 Fontenay-aux-roses \n", "ea207563bd2097b8bc663c0fd8f8e38a Saint-Louis \n", "2bee89fcead0b44bf5febf8e2fed610d Grenoble \n", "5da49e44873587b02454888c63deb52f Grenoble \n", "639fe20eabd06f996a7db5869873ab64 Bordeaux \n", "903ba28f62ed8331f61b08d02bfc7573 Tunis \n", "ced38cde67fec1edb24638c4c3b98dd3 Calais \n", "ef43fa481d86f164e9cae5ed6b8625cd montrouge \n", "08746c38508e5f7e5cd043e919a322cd PARIS \n", "209e6fa51d4c3fee4545b21fdd7eca8b Rennes \n", "af9b058c03104c60f98b72ff537392fb Châteaufort \n", "fa262f8c0f20ff60b18258db792d9f46 Laval \n", "\n", " Quelle est votre année de naissance ? \\\n", "Question cachée pour enregistrer l'ID anonymisé... \n", "217ba8a7fafa77ac394998c6998cc603 1994.0 \n", "57b9d1400938c1a73c89812eb7af6bdc 1995.0 \n", "3fc2553edccc8ce04ff4284658a43487 1988.0 \n", "b0d8849cabfd978d26bf972a065187ab 1996.0 \n", "754f45c6a8f0b015f5e6ca7cf5ef80b6 1992.0 \n", "f7761dbf5e688ce6ed562c39d3e11475 1983.0 \n", "2386bd0a28a48d17116638ec221d560d 1995.0 \n", "c1be096ce5a0b3b0084e344aef021f79 1993.0 \n", "561f29363a95279df3290b2b9e82d6e0 1995.0 \n", "ec9afc2f389140fd3f1bffb60bd86a40 1994.0 \n", "db689cfbd0b4e3bd8e301c603975e6c8 1995.0 \n", "74770e64a71b0b5f820b020426051f03 1995.0 \n", "ea207563bd2097b8bc663c0fd8f8e38a 1994.0 \n", "2bee89fcead0b44bf5febf8e2fed610d 1996.0 \n", "5da49e44873587b02454888c63deb52f 1995.0 \n", "639fe20eabd06f996a7db5869873ab64 1988.0 \n", "903ba28f62ed8331f61b08d02bfc7573 1992.0 \n", "ced38cde67fec1edb24638c4c3b98dd3 1995.0 \n", "ef43fa481d86f164e9cae5ed6b8625cd 1967.0 \n", "08746c38508e5f7e5cd043e919a322cd 1967.0 \n", "209e6fa51d4c3fee4545b21fdd7eca8b 1993.0 \n", "af9b058c03104c60f98b72ff537392fb 1953.0 \n", "fa262f8c0f20ff60b18258db792d9f46 1996.0 \n", "\n", " Quel est votre niveau de formation ? \\\n", "Question cachée pour enregistrer l'ID anonymisé... \n", "217ba8a7fafa77ac394998c6998cc603 Doctorat \n", "57b9d1400938c1a73c89812eb7af6bdc Doctorat \n", "3fc2553edccc8ce04ff4284658a43487 Doctorat \n", "b0d8849cabfd978d26bf972a065187ab Master / Diplôme d'ingénieur \n", "754f45c6a8f0b015f5e6ca7cf5ef80b6 Doctorat \n", "f7761dbf5e688ce6ed562c39d3e11475 Master / Diplôme d'ingénieur \n", "2386bd0a28a48d17116638ec221d560d Master / Diplôme d'ingénieur \n", "c1be096ce5a0b3b0084e344aef021f79 Doctorat \n", "561f29363a95279df3290b2b9e82d6e0 Master / Diplôme d'ingénieur \n", "ec9afc2f389140fd3f1bffb60bd86a40 Doctorat \n", "db689cfbd0b4e3bd8e301c603975e6c8 Master / Diplôme d'ingénieur \n", "74770e64a71b0b5f820b020426051f03 Master / Diplôme d'ingénieur \n", "ea207563bd2097b8bc663c0fd8f8e38a Doctorat \n", "2bee89fcead0b44bf5febf8e2fed610d Master / Diplôme d'ingénieur \n", "5da49e44873587b02454888c63deb52f Master / Diplôme d'ingénieur \n", "639fe20eabd06f996a7db5869873ab64 Doctorat \n", "903ba28f62ed8331f61b08d02bfc7573 Doctorat \n", "ced38cde67fec1edb24638c4c3b98dd3 Master / Diplôme d'ingénieur \n", "ef43fa481d86f164e9cae5ed6b8625cd Master / Diplôme d'ingénieur \n", "08746c38508e5f7e5cd043e919a322cd Master / Diplôme d'ingénieur \n", "209e6fa51d4c3fee4545b21fdd7eca8b Master / Diplôme d'ingénieur \n", "af9b058c03104c60f98b72ff537392fb Master / Diplôme d'ingénieur \n", "fa262f8c0f20ff60b18258db792d9f46 Doctorat \n", "\n", " Quelle est votre langue maternelle ? \\\n", "Question cachée pour enregistrer l'ID anonymisé... \n", "217ba8a7fafa77ac394998c6998cc603 Français \n", "57b9d1400938c1a73c89812eb7af6bdc Français \n", "3fc2553edccc8ce04ff4284658a43487 Français \n", "b0d8849cabfd978d26bf972a065187ab Français \n", "754f45c6a8f0b015f5e6ca7cf5ef80b6 Français \n", "f7761dbf5e688ce6ed562c39d3e11475 Français \n", "2386bd0a28a48d17116638ec221d560d Français \n", "c1be096ce5a0b3b0084e344aef021f79 Français \n", "561f29363a95279df3290b2b9e82d6e0 Français \n", "ec9afc2f389140fd3f1bffb60bd86a40 Français \n", "db689cfbd0b4e3bd8e301c603975e6c8 Français \n", "74770e64a71b0b5f820b020426051f03 Français \n", "ea207563bd2097b8bc663c0fd8f8e38a Français \n", "2bee89fcead0b44bf5febf8e2fed610d Français \n", "5da49e44873587b02454888c63deb52f Français \n", "639fe20eabd06f996a7db5869873ab64 Français \n", "903ba28f62ed8331f61b08d02bfc7573 Autre \n", "ced38cde67fec1edb24638c4c3b98dd3 Français \n", "ef43fa481d86f164e9cae5ed6b8625cd Français \n", "08746c38508e5f7e5cd043e919a322cd Français \n", "209e6fa51d4c3fee4545b21fdd7eca8b Français \n", "af9b058c03104c60f98b72ff537392fb Français \n", "fa262f8c0f20ff60b18258db792d9f46 Français \n", "\n", " Quelle est votre langue maternelle ? [Autre] \\\n", "Question cachée pour enregistrer l'ID anonymisé... \n", "217ba8a7fafa77ac394998c6998cc603 NaN \n", "57b9d1400938c1a73c89812eb7af6bdc NaN \n", "3fc2553edccc8ce04ff4284658a43487 NaN \n", "b0d8849cabfd978d26bf972a065187ab NaN \n", "754f45c6a8f0b015f5e6ca7cf5ef80b6 NaN \n", "f7761dbf5e688ce6ed562c39d3e11475 NaN \n", "2386bd0a28a48d17116638ec221d560d NaN \n", "c1be096ce5a0b3b0084e344aef021f79 NaN \n", "561f29363a95279df3290b2b9e82d6e0 NaN \n", "ec9afc2f389140fd3f1bffb60bd86a40 NaN \n", "db689cfbd0b4e3bd8e301c603975e6c8 NaN \n", "74770e64a71b0b5f820b020426051f03 NaN \n", "ea207563bd2097b8bc663c0fd8f8e38a NaN \n", "2bee89fcead0b44bf5febf8e2fed610d NaN \n", "5da49e44873587b02454888c63deb52f NaN \n", "639fe20eabd06f996a7db5869873ab64 NaN \n", "903ba28f62ed8331f61b08d02bfc7573 Arabe \n", "ced38cde67fec1edb24638c4c3b98dd3 NaN \n", "ef43fa481d86f164e9cae5ed6b8625cd NaN \n", "08746c38508e5f7e5cd043e919a322cd NaN \n", "209e6fa51d4c3fee4545b21fdd7eca8b NaN \n", "af9b058c03104c60f98b72ff537392fb NaN \n", "fa262f8c0f20ff60b18258db792d9f46 NaN \n", "\n", " Quelle est votre situation professionnelle ? \\\n", "Question cachée pour enregistrer l'ID anonymisé... \n", "217ba8a7fafa77ac394998c6998cc603 Étudiant \n", "57b9d1400938c1a73c89812eb7af6bdc Étudiant \n", "3fc2553edccc8ce04ff4284658a43487 Autre \n", "b0d8849cabfd978d26bf972a065187ab Étudiant \n", "754f45c6a8f0b015f5e6ca7cf5ef80b6 En recherche d'emploi \n", "f7761dbf5e688ce6ed562c39d3e11475 Autre \n", "2386bd0a28a48d17116638ec221d560d Étudiant \n", "c1be096ce5a0b3b0084e344aef021f79 Autre \n", "561f29363a95279df3290b2b9e82d6e0 Étudiant \n", "ec9afc2f389140fd3f1bffb60bd86a40 Étudiant \n", "db689cfbd0b4e3bd8e301c603975e6c8 Autre \n", "74770e64a71b0b5f820b020426051f03 Salarié en activité \n", "ea207563bd2097b8bc663c0fd8f8e38a Étudiant \n", "2bee89fcead0b44bf5febf8e2fed610d Étudiant \n", "5da49e44873587b02454888c63deb52f Étudiant \n", "639fe20eabd06f996a7db5869873ab64 Salarié en activité \n", "903ba28f62ed8331f61b08d02bfc7573 Étudiant \n", "ced38cde67fec1edb24638c4c3b98dd3 Autre \n", "ef43fa481d86f164e9cae5ed6b8625cd Salarié en activité \n", "08746c38508e5f7e5cd043e919a322cd Salarié en activité \n", "209e6fa51d4c3fee4545b21fdd7eca8b Autre \n", "af9b058c03104c60f98b72ff537392fb Retraité \n", "fa262f8c0f20ff60b18258db792d9f46 Étudiant \n", "\n", " Quelle est votre situation professionnelle ? [Autre] \\\n", "Question cachée pour enregistrer l'ID anonymisé... \n", "217ba8a7fafa77ac394998c6998cc603 NaN \n", "57b9d1400938c1a73c89812eb7af6bdc NaN \n", "3fc2553edccc8ce04ff4284658a43487 Doctorant \n", "b0d8849cabfd978d26bf972a065187ab NaN \n", "754f45c6a8f0b015f5e6ca7cf5ef80b6 NaN \n", "f7761dbf5e688ce6ed562c39d3e11475 Doctorant \n", "2386bd0a28a48d17116638ec221d560d NaN \n", "c1be096ce5a0b3b0084e344aef021f79 Doctorante \n", "561f29363a95279df3290b2b9e82d6e0 NaN \n", "ec9afc2f389140fd3f1bffb60bd86a40 NaN \n", "db689cfbd0b4e3bd8e301c603975e6c8 Doctorant \n", "74770e64a71b0b5f820b020426051f03 NaN \n", "ea207563bd2097b8bc663c0fd8f8e38a NaN \n", "2bee89fcead0b44bf5febf8e2fed610d NaN \n", "5da49e44873587b02454888c63deb52f NaN \n", "639fe20eabd06f996a7db5869873ab64 NaN \n", "903ba28f62ed8331f61b08d02bfc7573 NaN \n", "ced38cde67fec1edb24638c4c3b98dd3 Doctorant \n", "ef43fa481d86f164e9cae5ed6b8625cd NaN \n", "08746c38508e5f7e5cd043e919a322cd NaN \n", "209e6fa51d4c3fee4545b21fdd7eca8b Doctorant \n", "af9b058c03104c60f98b72ff537392fb NaN \n", "fa262f8c0f20ff60b18258db792d9f46 NaN \n", "\n", " Pourquoi suivez-vous ce MOOC ? \\\n", "Question cachée pour enregistrer l'ID anonymisé... \n", "217ba8a7fafa77ac394998c6998cc603 Je l'ai fait de ma propre initiative \n", "57b9d1400938c1a73c89812eb7af6bdc Il était conseillé par un professeur mais facu... \n", "3fc2553edccc8ce04ff4284658a43487 NaN \n", "b0d8849cabfd978d26bf972a065187ab Il était conseillé par un professeur mais facu... \n", "754f45c6a8f0b015f5e6ca7cf5ef80b6 NaN \n", "f7761dbf5e688ce6ed562c39d3e11475 NaN \n", "2386bd0a28a48d17116638ec221d560d Il était conseillé par un professeur mais facu... \n", "c1be096ce5a0b3b0084e344aef021f79 NaN \n", "561f29363a95279df3290b2b9e82d6e0 Je l'ai fait de ma propre initiative \n", "ec9afc2f389140fd3f1bffb60bd86a40 Je l'ai fait de ma propre initiative \n", "db689cfbd0b4e3bd8e301c603975e6c8 NaN \n", "74770e64a71b0b5f820b020426051f03 NaN \n", "ea207563bd2097b8bc663c0fd8f8e38a Il était conseillé par un professeur mais facu... \n", "2bee89fcead0b44bf5febf8e2fed610d Il était obligatoire dans le cadre de mon cursus \n", "5da49e44873587b02454888c63deb52f Il était conseillé par un professeur mais facu... \n", "639fe20eabd06f996a7db5869873ab64 NaN \n", "903ba28f62ed8331f61b08d02bfc7573 Il était obligatoire dans le cadre de mon cursus \n", "ced38cde67fec1edb24638c4c3b98dd3 NaN \n", "ef43fa481d86f164e9cae5ed6b8625cd NaN \n", "08746c38508e5f7e5cd043e919a322cd NaN \n", "209e6fa51d4c3fee4545b21fdd7eca8b NaN \n", "af9b058c03104c60f98b72ff537392fb NaN \n", "fa262f8c0f20ff60b18258db792d9f46 Il était conseillé par un professeur mais facu... \n", "\n", " ... \\\n", "Question cachée pour enregistrer l'ID anonymisé... ... \n", "217ba8a7fafa77ac394998c6998cc603 ... \n", "57b9d1400938c1a73c89812eb7af6bdc ... \n", "3fc2553edccc8ce04ff4284658a43487 ... \n", "b0d8849cabfd978d26bf972a065187ab ... \n", "754f45c6a8f0b015f5e6ca7cf5ef80b6 ... \n", "f7761dbf5e688ce6ed562c39d3e11475 ... \n", "2386bd0a28a48d17116638ec221d560d ... \n", "c1be096ce5a0b3b0084e344aef021f79 ... \n", "561f29363a95279df3290b2b9e82d6e0 ... \n", "ec9afc2f389140fd3f1bffb60bd86a40 ... \n", "db689cfbd0b4e3bd8e301c603975e6c8 ... \n", "74770e64a71b0b5f820b020426051f03 ... \n", "ea207563bd2097b8bc663c0fd8f8e38a ... \n", "2bee89fcead0b44bf5febf8e2fed610d ... \n", "5da49e44873587b02454888c63deb52f ... \n", "639fe20eabd06f996a7db5869873ab64 ... \n", "903ba28f62ed8331f61b08d02bfc7573 ... \n", "ced38cde67fec1edb24638c4c3b98dd3 ... \n", "ef43fa481d86f164e9cae5ed6b8625cd ... \n", "08746c38508e5f7e5cd043e919a322cd ... \n", "209e6fa51d4c3fee4545b21fdd7eca8b ... \n", "af9b058c03104c60f98b72ff537392fb ... \n", "fa262f8c0f20ff60b18258db792d9f46 ... \n", "\n", " Durée pour le groupe : Commentaires additionnels \\\n", "Question cachée pour enregistrer l'ID anonymisé... \n", "217ba8a7fafa77ac394998c6998cc603 8.77 \n", "57b9d1400938c1a73c89812eb7af6bdc 105.55 \n", "3fc2553edccc8ce04ff4284658a43487 15.15 \n", "b0d8849cabfd978d26bf972a065187ab 5.81 \n", "754f45c6a8f0b015f5e6ca7cf5ef80b6 11.18 \n", "f7761dbf5e688ce6ed562c39d3e11475 278.59 \n", "2386bd0a28a48d17116638ec221d560d 5.95 \n", "c1be096ce5a0b3b0084e344aef021f79 5.93 \n", "561f29363a95279df3290b2b9e82d6e0 3.42 \n", "ec9afc2f389140fd3f1bffb60bd86a40 3.08 \n", "db689cfbd0b4e3bd8e301c603975e6c8 5.37 \n", "74770e64a71b0b5f820b020426051f03 24.23 \n", "ea207563bd2097b8bc663c0fd8f8e38a 6.18 \n", "2bee89fcead0b44bf5febf8e2fed610d 4.32 \n", "5da49e44873587b02454888c63deb52f 397.70 \n", "639fe20eabd06f996a7db5869873ab64 4.00 \n", "903ba28f62ed8331f61b08d02bfc7573 5.65 \n", "ced38cde67fec1edb24638c4c3b98dd3 18.11 \n", "ef43fa481d86f164e9cae5ed6b8625cd 7.56 \n", "08746c38508e5f7e5cd043e919a322cd 5.59 \n", "209e6fa51d4c3fee4545b21fdd7eca8b 6.14 \n", "af9b058c03104c60f98b72ff537392fb 12.49 \n", "fa262f8c0f20ff60b18258db792d9f46 3.89 \n", "\n", " Durée pour la question: F22FUN \\\n", "Question cachée pour enregistrer l'ID anonymisé... \n", "217ba8a7fafa77ac394998c6998cc603 NaN \n", "57b9d1400938c1a73c89812eb7af6bdc NaN \n", "3fc2553edccc8ce04ff4284658a43487 NaN \n", "b0d8849cabfd978d26bf972a065187ab NaN \n", "754f45c6a8f0b015f5e6ca7cf5ef80b6 NaN \n", "f7761dbf5e688ce6ed562c39d3e11475 NaN \n", "2386bd0a28a48d17116638ec221d560d NaN \n", "c1be096ce5a0b3b0084e344aef021f79 NaN \n", "561f29363a95279df3290b2b9e82d6e0 NaN \n", "ec9afc2f389140fd3f1bffb60bd86a40 NaN \n", "db689cfbd0b4e3bd8e301c603975e6c8 NaN \n", "74770e64a71b0b5f820b020426051f03 NaN \n", "ea207563bd2097b8bc663c0fd8f8e38a NaN \n", "2bee89fcead0b44bf5febf8e2fed610d NaN \n", "5da49e44873587b02454888c63deb52f NaN \n", "639fe20eabd06f996a7db5869873ab64 NaN \n", "903ba28f62ed8331f61b08d02bfc7573 NaN \n", "ced38cde67fec1edb24638c4c3b98dd3 NaN \n", "ef43fa481d86f164e9cae5ed6b8625cd NaN \n", "08746c38508e5f7e5cd043e919a322cd NaN \n", "209e6fa51d4c3fee4545b21fdd7eca8b NaN \n", "af9b058c03104c60f98b72ff537392fb NaN \n", "fa262f8c0f20ff60b18258db792d9f46 NaN \n", "\n", " Durée pour le groupe : Questions de l'équipe du MOOC \\\n", "Question cachée pour enregistrer l'ID anonymisé... \n", "217ba8a7fafa77ac394998c6998cc603 49.02 \n", "57b9d1400938c1a73c89812eb7af6bdc 178.32 \n", "3fc2553edccc8ce04ff4284658a43487 622.79 \n", "b0d8849cabfd978d26bf972a065187ab 36.49 \n", "754f45c6a8f0b015f5e6ca7cf5ef80b6 163.93 \n", "f7761dbf5e688ce6ed562c39d3e11475 172.76 \n", "2386bd0a28a48d17116638ec221d560d 30.18 \n", "c1be096ce5a0b3b0084e344aef021f79 34.27 \n", "561f29363a95279df3290b2b9e82d6e0 47.38 \n", "ec9afc2f389140fd3f1bffb60bd86a40 22.20 \n", "db689cfbd0b4e3bd8e301c603975e6c8 536.36 \n", "74770e64a71b0b5f820b020426051f03 227.22 \n", "ea207563bd2097b8bc663c0fd8f8e38a 82.83 \n", "2bee89fcead0b44bf5febf8e2fed610d 32.58 \n", "5da49e44873587b02454888c63deb52f 125.17 \n", "639fe20eabd06f996a7db5869873ab64 76.29 \n", "903ba28f62ed8331f61b08d02bfc7573 55.19 \n", "ced38cde67fec1edb24638c4c3b98dd3 406.64 \n", "ef43fa481d86f164e9cae5ed6b8625cd 38.72 \n", "08746c38508e5f7e5cd043e919a322cd 109.17 \n", "209e6fa51d4c3fee4545b21fdd7eca8b 71.36 \n", "af9b058c03104c60f98b72ff537392fb 216.56 \n", "fa262f8c0f20ff60b18258db792d9f46 184.86 \n", "\n", " Durée pour la question: F00EM \\\n", "Question cachée pour enregistrer l'ID anonymisé... \n", "217ba8a7fafa77ac394998c6998cc603 NaN \n", "57b9d1400938c1a73c89812eb7af6bdc NaN \n", "3fc2553edccc8ce04ff4284658a43487 NaN \n", "b0d8849cabfd978d26bf972a065187ab NaN \n", "754f45c6a8f0b015f5e6ca7cf5ef80b6 NaN \n", "f7761dbf5e688ce6ed562c39d3e11475 NaN \n", "2386bd0a28a48d17116638ec221d560d NaN \n", "c1be096ce5a0b3b0084e344aef021f79 NaN \n", "561f29363a95279df3290b2b9e82d6e0 NaN \n", "ec9afc2f389140fd3f1bffb60bd86a40 NaN \n", "db689cfbd0b4e3bd8e301c603975e6c8 NaN \n", "74770e64a71b0b5f820b020426051f03 NaN \n", "ea207563bd2097b8bc663c0fd8f8e38a NaN \n", "2bee89fcead0b44bf5febf8e2fed610d NaN \n", "5da49e44873587b02454888c63deb52f NaN \n", "639fe20eabd06f996a7db5869873ab64 NaN \n", "903ba28f62ed8331f61b08d02bfc7573 NaN \n", "ced38cde67fec1edb24638c4c3b98dd3 NaN \n", "ef43fa481d86f164e9cae5ed6b8625cd NaN \n", "08746c38508e5f7e5cd043e919a322cd NaN \n", "209e6fa51d4c3fee4545b21fdd7eca8b NaN \n", "af9b058c03104c60f98b72ff537392fb NaN \n", "fa262f8c0f20ff60b18258db792d9f46 NaN \n", "\n", " Durée pour la question: DILLparcours \\\n", "Question cachée pour enregistrer l'ID anonymisé... \n", "217ba8a7fafa77ac394998c6998cc603 NaN \n", "57b9d1400938c1a73c89812eb7af6bdc NaN \n", "3fc2553edccc8ce04ff4284658a43487 NaN \n", "b0d8849cabfd978d26bf972a065187ab NaN \n", "754f45c6a8f0b015f5e6ca7cf5ef80b6 NaN \n", "f7761dbf5e688ce6ed562c39d3e11475 NaN \n", "2386bd0a28a48d17116638ec221d560d NaN \n", "c1be096ce5a0b3b0084e344aef021f79 NaN \n", "561f29363a95279df3290b2b9e82d6e0 NaN \n", "ec9afc2f389140fd3f1bffb60bd86a40 NaN \n", "db689cfbd0b4e3bd8e301c603975e6c8 NaN \n", "74770e64a71b0b5f820b020426051f03 NaN \n", "ea207563bd2097b8bc663c0fd8f8e38a NaN \n", "2bee89fcead0b44bf5febf8e2fed610d NaN \n", "5da49e44873587b02454888c63deb52f NaN \n", "639fe20eabd06f996a7db5869873ab64 NaN \n", "903ba28f62ed8331f61b08d02bfc7573 NaN \n", "ced38cde67fec1edb24638c4c3b98dd3 NaN \n", "ef43fa481d86f164e9cae5ed6b8625cd NaN \n", "08746c38508e5f7e5cd043e919a322cd NaN \n", "209e6fa51d4c3fee4545b21fdd7eca8b NaN \n", "af9b058c03104c60f98b72ff537392fb NaN \n", "fa262f8c0f20ff60b18258db792d9f46 NaN \n", "\n", " Durée pour la question: DILLsatisfaction \\\n", "Question cachée pour enregistrer l'ID anonymisé... \n", "217ba8a7fafa77ac394998c6998cc603 NaN \n", "57b9d1400938c1a73c89812eb7af6bdc NaN \n", "3fc2553edccc8ce04ff4284658a43487 NaN \n", "b0d8849cabfd978d26bf972a065187ab NaN \n", "754f45c6a8f0b015f5e6ca7cf5ef80b6 NaN \n", "f7761dbf5e688ce6ed562c39d3e11475 NaN \n", "2386bd0a28a48d17116638ec221d560d NaN \n", "c1be096ce5a0b3b0084e344aef021f79 NaN \n", "561f29363a95279df3290b2b9e82d6e0 NaN \n", "ec9afc2f389140fd3f1bffb60bd86a40 NaN \n", "db689cfbd0b4e3bd8e301c603975e6c8 NaN \n", "74770e64a71b0b5f820b020426051f03 NaN \n", "ea207563bd2097b8bc663c0fd8f8e38a NaN \n", "2bee89fcead0b44bf5febf8e2fed610d NaN \n", "5da49e44873587b02454888c63deb52f NaN \n", "639fe20eabd06f996a7db5869873ab64 NaN \n", "903ba28f62ed8331f61b08d02bfc7573 NaN \n", "ced38cde67fec1edb24638c4c3b98dd3 NaN \n", "ef43fa481d86f164e9cae5ed6b8625cd NaN \n", "08746c38508e5f7e5cd043e919a322cd NaN \n", "209e6fa51d4c3fee4545b21fdd7eca8b NaN \n", "af9b058c03104c60f98b72ff537392fb NaN \n", "fa262f8c0f20ff60b18258db792d9f46 NaN \n", "\n", " Durée pour la question: DILLoutils \\\n", "Question cachée pour enregistrer l'ID anonymisé... \n", "217ba8a7fafa77ac394998c6998cc603 NaN \n", "57b9d1400938c1a73c89812eb7af6bdc NaN \n", "3fc2553edccc8ce04ff4284658a43487 NaN \n", "b0d8849cabfd978d26bf972a065187ab NaN \n", "754f45c6a8f0b015f5e6ca7cf5ef80b6 NaN \n", "f7761dbf5e688ce6ed562c39d3e11475 NaN \n", "2386bd0a28a48d17116638ec221d560d NaN \n", "c1be096ce5a0b3b0084e344aef021f79 NaN \n", "561f29363a95279df3290b2b9e82d6e0 NaN \n", "ec9afc2f389140fd3f1bffb60bd86a40 NaN \n", "db689cfbd0b4e3bd8e301c603975e6c8 NaN \n", "74770e64a71b0b5f820b020426051f03 NaN \n", "ea207563bd2097b8bc663c0fd8f8e38a NaN \n", "2bee89fcead0b44bf5febf8e2fed610d NaN \n", "5da49e44873587b02454888c63deb52f NaN \n", "639fe20eabd06f996a7db5869873ab64 NaN \n", "903ba28f62ed8331f61b08d02bfc7573 NaN \n", "ced38cde67fec1edb24638c4c3b98dd3 NaN \n", "ef43fa481d86f164e9cae5ed6b8625cd NaN \n", "08746c38508e5f7e5cd043e919a322cd NaN \n", "209e6fa51d4c3fee4545b21fdd7eca8b NaN \n", "af9b058c03104c60f98b72ff537392fb NaN \n", "fa262f8c0f20ff60b18258db792d9f46 NaN \n", "\n", " Durée pour la question: DILLpositifs \\\n", "Question cachée pour enregistrer l'ID anonymisé... \n", "217ba8a7fafa77ac394998c6998cc603 NaN \n", "57b9d1400938c1a73c89812eb7af6bdc NaN \n", "3fc2553edccc8ce04ff4284658a43487 NaN \n", "b0d8849cabfd978d26bf972a065187ab NaN \n", "754f45c6a8f0b015f5e6ca7cf5ef80b6 NaN \n", "f7761dbf5e688ce6ed562c39d3e11475 NaN \n", "2386bd0a28a48d17116638ec221d560d NaN \n", "c1be096ce5a0b3b0084e344aef021f79 NaN \n", "561f29363a95279df3290b2b9e82d6e0 NaN \n", "ec9afc2f389140fd3f1bffb60bd86a40 NaN \n", "db689cfbd0b4e3bd8e301c603975e6c8 NaN \n", "74770e64a71b0b5f820b020426051f03 NaN \n", "ea207563bd2097b8bc663c0fd8f8e38a NaN \n", "2bee89fcead0b44bf5febf8e2fed610d NaN \n", "5da49e44873587b02454888c63deb52f NaN \n", "639fe20eabd06f996a7db5869873ab64 NaN \n", "903ba28f62ed8331f61b08d02bfc7573 NaN \n", "ced38cde67fec1edb24638c4c3b98dd3 NaN \n", "ef43fa481d86f164e9cae5ed6b8625cd NaN \n", "08746c38508e5f7e5cd043e919a322cd NaN \n", "209e6fa51d4c3fee4545b21fdd7eca8b NaN \n", "af9b058c03104c60f98b72ff537392fb NaN \n", "fa262f8c0f20ff60b18258db792d9f46 NaN \n", "\n", " Durée pour la question: DILLproposition \\\n", "Question cachée pour enregistrer l'ID anonymisé... \n", "217ba8a7fafa77ac394998c6998cc603 NaN \n", "57b9d1400938c1a73c89812eb7af6bdc NaN \n", "3fc2553edccc8ce04ff4284658a43487 NaN \n", "b0d8849cabfd978d26bf972a065187ab NaN \n", "754f45c6a8f0b015f5e6ca7cf5ef80b6 NaN \n", "f7761dbf5e688ce6ed562c39d3e11475 NaN \n", "2386bd0a28a48d17116638ec221d560d NaN \n", "c1be096ce5a0b3b0084e344aef021f79 NaN \n", "561f29363a95279df3290b2b9e82d6e0 NaN \n", "ec9afc2f389140fd3f1bffb60bd86a40 NaN \n", "db689cfbd0b4e3bd8e301c603975e6c8 NaN \n", "74770e64a71b0b5f820b020426051f03 NaN \n", "ea207563bd2097b8bc663c0fd8f8e38a NaN \n", "2bee89fcead0b44bf5febf8e2fed610d NaN \n", "5da49e44873587b02454888c63deb52f NaN \n", "639fe20eabd06f996a7db5869873ab64 NaN \n", "903ba28f62ed8331f61b08d02bfc7573 NaN \n", "ced38cde67fec1edb24638c4c3b98dd3 NaN \n", "ef43fa481d86f164e9cae5ed6b8625cd NaN \n", "08746c38508e5f7e5cd043e919a322cd NaN \n", "209e6fa51d4c3fee4545b21fdd7eca8b NaN \n", "af9b058c03104c60f98b72ff537392fb NaN \n", "fa262f8c0f20ff60b18258db792d9f46 NaN \n", "\n", " Durée pour la question: DILLforum \n", "Question cachée pour enregistrer l'ID anonymisé... \n", "217ba8a7fafa77ac394998c6998cc603 NaN \n", "57b9d1400938c1a73c89812eb7af6bdc NaN \n", "3fc2553edccc8ce04ff4284658a43487 NaN \n", "b0d8849cabfd978d26bf972a065187ab NaN \n", "754f45c6a8f0b015f5e6ca7cf5ef80b6 NaN \n", "f7761dbf5e688ce6ed562c39d3e11475 NaN \n", "2386bd0a28a48d17116638ec221d560d NaN \n", "c1be096ce5a0b3b0084e344aef021f79 NaN \n", "561f29363a95279df3290b2b9e82d6e0 NaN \n", "ec9afc2f389140fd3f1bffb60bd86a40 NaN \n", "db689cfbd0b4e3bd8e301c603975e6c8 NaN \n", "74770e64a71b0b5f820b020426051f03 NaN \n", "ea207563bd2097b8bc663c0fd8f8e38a NaN \n", "2bee89fcead0b44bf5febf8e2fed610d NaN \n", "5da49e44873587b02454888c63deb52f NaN \n", "639fe20eabd06f996a7db5869873ab64 NaN \n", "903ba28f62ed8331f61b08d02bfc7573 NaN \n", "ced38cde67fec1edb24638c4c3b98dd3 NaN \n", "ef43fa481d86f164e9cae5ed6b8625cd NaN \n", "08746c38508e5f7e5cd043e919a322cd NaN \n", "209e6fa51d4c3fee4545b21fdd7eca8b NaN \n", "af9b058c03104c60f98b72ff537392fb NaN \n", "fa262f8c0f20ff60b18258db792d9f46 NaN \n", "\n", "[23 rows x 279 columns]" ] }, "execution_count": 1, "metadata": {}, "output_type": "execute_result" } ], "source": [ "## Projet Maman\n", "\n", "import numpy as np\n", "import pandas as pd\n", "import matplotlib.pyplot as plt\n", "donnees_init = pd.read_csv('Initial.csv').set_index(\"Question cachée pour enregistrer l'ID anonymisé des apprenants.\\xa0\")\n", "donnees_fin = pd.read_csv('Final.csv').set_index(\"Question cachée pour enregistrer l'ID anonymisé des apprenants.\\xa0\")\n", "donnees_init = donnees_init.dropna(subset=[\"Date de soumission\"])\n", "donnees_fin = donnees_fin.dropna(subset=[\"Date de soumission\"])\n", "donnees_init = donnees_init[~donnees_init.index.duplicated()]\n", "donnees_index= donnees_fin.index.intersection(donnees_init.index)\n", "donnees_columns=[]\n", "for i in list(donnees_init.columns):\n", " if i not in list(donnees_fin.columns):\n", " donnees_columns+=[i]\n", "donnees=pd.concat([donnees_init.loc[list(donnees_index),donnees_columns],donnees_fin.loc[list(donnees_index),:]],axis=1)\n", "donnees" ] }, { "cell_type": "code", "execution_count": 155, "metadata": {}, "outputs": [ { "data": { "image/png": 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FémininMasculin
Retraité01
Autre24
En recherche d'emploi10
Étudiant38
Salarié en activité22
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" ], "text/plain": [ " Féminin Masculin\n", "Retraité 0 1\n", "Autre 2 4\n", "En recherche d'emploi 1 0\n", "Étudiant 3 8\n", "Salarié en activité 2 2" ] }, "execution_count": 155, "metadata": {}, "output_type": "execute_result" } ], "source": [ "def hist_double_situation_professionnelle(colonne):\n", " liste_situation=list(set(donnees.loc[:,\"Quelle est votre situation professionnelle ?\"].values))\n", " liste_colonne=list(set(donnees.loc[:,colonne].values))\n", " if np.nan in liste_situation:\n", " del liste_situation[liste_situation.index(np.nan)]\n", " if np.nan in liste_colonne:\n", " del liste_colonne[liste_colonne.index(np.nan)]\n", " liste_dico=[]\n", " for situation in liste_situation:\n", " dico={}\n", " for item_colonne in liste_colonne:\n", " dico[item_colonne]=donnees.loc[(donnees.loc[:,\"Quelle est votre situation professionnelle ?\"]==situation) & (donnees.loc[:,colonne]==item_colonne),colonne].count()\n", " liste_dico.append(dico)\n", " pd.DataFrame(liste_dico,index=liste_situation).plot(kind='bar',figsize=(17,7))\n", " plt.show()\n", " return pd.DataFrame(liste_dico,index=liste_situation)\n", "\n", "hist_double_situation_professionnelle(\"Indiquez votre genre :\")" ] }, { "cell_type": "code", "execution_count": 156, "metadata": {}, "outputs": [ { "data": { "image/png": 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FémininMasculin
Ingénieur / Cadre11
\n", "
" ], "text/plain": [ " Féminin Masculin\n", "Ingénieur / Cadre 1 1" ] }, "execution_count": 156, "metadata": {}, "output_type": "execute_result" } ], "source": [ "def hist_double_fonction(colonne):\n", " liste_fonction=list(set(donnees.loc[:,\"Quelle est votre fonction ?\"].values))\n", " liste_colonne=list(set(donnees.loc[:,colonne].values))\n", " if np.nan in liste_fonction:\n", " del liste_fonction[liste_fonction.index(np.nan)]\n", " if np.nan in liste_colonne:\n", " del liste_colonne[liste_colonne.index(np.nan)]\n", " liste_dico=[]\n", " for fonction in liste_fonction:\n", " dico={}\n", " for item_colonne in liste_colonne:\n", " dico[item_colonne]=donnees.loc[(donnees.loc[:,\"Quelle est votre fonction ?\"]==fonction) & (donnees.loc[:,colonne]==item_colonne),colonne].count()\n", " liste_dico.append(dico)\n", " pd.DataFrame(liste_dico,index=liste_fonction).plot(kind='bar',figsize=(17,7))\n", " plt.show()\n", " return pd.DataFrame(liste_dico,index=liste_fonction)\n", "\n", "hist_double_fonction(\"Indiquez votre genre :\")" ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [ { "data": { "image/png": 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Autre00
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" ], "text/plain": [ " Féminin Masculin\n", "Chimie 0 0\n", "Physique, sciences de l'ingénieur 2 6\n", "Informatique 1 7\n", "Mathématiques 2 3\n", "Sciences cognitives 1 0\n", "Sciences de l'environnement, Planète et Univers 0 1\n", "Sciences du Vivant (Biologie, Sciences agricole... 4 1\n", "Sciences de l'Homme et Société 1 0\n", "Économie et finance quantitative 0 1\n", "Autre 0 0" ] }, "execution_count": 16, "metadata": {}, "output_type": "execute_result" } ], "source": [ "def hist_double_discipline(colonne):\n", " liste_discipline=[]\n", " liste_colonne=list(set(donnees.loc[:,colonne].values))\n", " for col in list(donnees.columns):\n", " if \"Quelle est votre discipline ?\" in col:\n", " liste_discipline.append(col.split('[')[1].strip(']'))\n", " liste_dico=[]\n", " for discipline in liste_discipline:\n", " dico={}\n", " for item_colonne in liste_colonne:\n", " dico[item_colonne]=donnees.loc[(donnees.loc[:,f\"Quelle est votre discipline ? [{discipline}]\"]==\"Oui\") & (donnees.loc[:,colonne]==item_colonne),colonne].count()\n", " liste_dico.append(dico)\n", " pd.DataFrame(liste_dico,index=liste_discipline).plot(kind='bar',figsize=(17,7))\n", " plt.show()\n", " return pd.DataFrame(liste_dico,index=liste_discipline)\n", " \n", " \n", "hist_double_discipline(\"Indiquez votre genre :\")" ] } ], "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": "3.6.4" } }, "nbformat": 4, "nbformat_minor": 4 }