From bb3b397d25e4e2cd54c5d4335e1bff91c543a1a1 Mon Sep 17 00:00:00 2001 From: 82f87673860e95491d80fdbed66a168b <82f87673860e95491d80fdbed66a168b@app-learninglab.inria.fr> Date: Sat, 18 Apr 2020 22:44:56 +0000 Subject: [PATCH] no commit message --- module3/exo3/exercice.ipynb | 519 +----------------------------------- 1 file changed, 14 insertions(+), 505 deletions(-) diff --git a/module3/exo3/exercice.ipynb b/module3/exo3/exercice.ipynb index 80feb87..2303f56 100644 --- a/module3/exo3/exercice.ipynb +++ b/module3/exo3/exercice.ipynb @@ -48,9 +48,10 @@ "## 0 Récuperation des données\n", "Des valeurs obtenues par numérisation du graphe sont aujourd'hui téléchargeables, avec la version en format CSV sur [ce site](https://raw.githubusercontent.com/vincentarelbundock/Rdatasets/master/csv/HistData/Wheat.csv).\n", "\n", - "1. Déposer le fichier csv en locale si ce fichier local n'existe pas. \n", + "- Déposer le fichier csv en locale si ce fichier local n'existe pas. \n", "\n", - "2. Lisez le fichier CSV local." + "\n", + "- Lisez le fichier CSV local." ] }, { @@ -634,14 +635,14 @@ "metadata": {}, "source": [ "## 2 Amélioration de la présentation\n", - "1. Utiliser plutôt les unités modernes pour les deux quantités :\n", + "- Utiliser plutôt les unités modernes pour les deux quantités :\n", "\n", " 1) Pour le prix du blé, 1 shillings pour un quart de boisseau de blé = (1/20) £ / 6.8kg = 0.00735 £/kg \n", " \n", " 2) Pour les salaires, 1 shilling par semaine = (1/20)£ /semaine = 0.05 £ / semaine\n", " \n", "\n", - "2. Transfomer les données et les sauvegarder dans un nouveau dataframe" + "- Transfomer les données et les sauvegarder dans un nouveau dataframe" ] }, { @@ -729,7 +730,7 @@ "\n", "### 3.1 Mission 1\n", "\n", - "1. Définir comme la quantité de blé qu'un ouvrier peut acheter avec son salaire hebdomadaire.\n", + "- Définir comme la quantité de blé qu'un ouvrier peut acheter avec son salaire hebdomadaire.\n", "\n", " Sauvegarder cette quantité *PurchasingPower* dans le dataframe *transf_data* et supprimer les années où il manque des infos sur les salaires." ] @@ -738,510 +739,17 @@ "cell_type": "code", "execution_count": 7, "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - " | Unnamed: 0 | \n", - "Year | \n", - "Wheat | \n", - "Wages | \n", - "PurchasingPower | \n", - "
---|---|---|---|---|---|
0 | \n", - "1 | \n", - "1565 | \n", - "0.301350 | \n", - "0.2500 | \n", - "0.829600 | \n", - "
1 | \n", - "2 | \n", - "1570 | \n", - "0.330750 | \n", - "0.2525 | \n", - "0.763416 | \n", - "
2 | \n", - "3 | \n", - "1575 | \n", - "0.308700 | \n", - "0.2540 | \n", - "0.822805 | \n", - "
3 | \n", - "4 | \n", - "1580 | \n", - "0.360150 | \n", - "0.2560 | \n", - "0.710815 | \n", - "
4 | \n", - "5 | \n", - "1585 | \n", - "0.305025 | \n", - "0.2575 | \n", - "0.844193 | \n", - "
5 | \n", - "6 | \n", - "1590 | \n", - "0.345450 | \n", - "0.2625 | \n", - "0.759878 | \n", - "
6 | \n", - "7 | \n", - "1595 | \n", - "0.470400 | \n", - "0.2770 | \n", - "0.588861 | \n", - "
7 | \n", - "8 | \n", - "1600 | \n", - "0.198450 | \n", - "0.2805 | \n", - "1.413454 | \n", - "
8 | \n", - "9 | \n", - "1605 | \n", - "0.242550 | \n", - "0.2845 | \n", - "1.172954 | \n", - "
9 | \n", - "10 | \n", - "1610 | \n", - "0.235200 | \n", - "0.2890 | \n", - "1.228741 | \n", - "
10 | \n", - "11 | \n", - "1615 | \n", - "0.242550 | \n", - "0.2970 | \n", - "1.224490 | \n", - "
11 | \n", - "12 | \n", - "1620 | \n", - "0.257250 | \n", - "0.3005 | \n", - "1.168124 | \n", - "
12 | \n", - "13 | \n", - "1625 | \n", - "0.242550 | \n", - "0.3060 | \n", - "1.261596 | \n", - "
13 | \n", - "14 | \n", - "1630 | \n", - "0.330750 | \n", - "0.3110 | \n", - "0.940287 | \n", - "
14 | \n", - "15 | \n", - "1635 | \n", - "0.242550 | \n", - "0.3150 | \n", - "1.298701 | \n", - "
15 | \n", - "16 | \n", - "1640 | \n", - "0.286650 | \n", - "0.3185 | \n", - "1.111111 | \n", - "
16 | \n", - "17 | \n", - "1645 | \n", - "0.389550 | \n", - "0.3225 | \n", - "0.827878 | \n", - "
17 | \n", - "18 | \n", - "1650 | \n", - "0.308700 | \n", - "0.3250 | \n", - "1.052802 | \n", - "
18 | \n", - "19 | \n", - "1655 | \n", - "0.297675 | \n", - "0.3300 | \n", - "1.108592 | \n", - "
19 | \n", - "20 | \n", - "1660 | \n", - "0.341775 | \n", - "0.3375 | \n", - "0.987492 | \n", - "
20 | \n", - "21 | \n", - "1665 | \n", - "0.235200 | \n", - "0.3400 | \n", - "1.445578 | \n", - "
21 | \n", - "22 | \n", - "1670 | \n", - "0.271950 | \n", - "0.3450 | \n", - "1.268616 | \n", - "
22 | \n", - "23 | \n", - "1675 | \n", - "0.316050 | \n", - "0.3500 | \n", - "1.107420 | \n", - "
23 | \n", - "24 | \n", - "1680 | \n", - "0.257250 | \n", - "0.3650 | \n", - "1.418853 | \n", - "
24 | \n", - "25 | \n", - "1685 | \n", - "0.198450 | \n", - "0.3800 | \n", - "1.914840 | \n", - "
25 | \n", - "26 | \n", - "1690 | \n", - "0.294000 | \n", - "0.4000 | \n", - "1.360544 | \n", - "
26 | \n", - "27 | \n", - "1695 | \n", - "0.367500 | \n", - "0.4250 | \n", - "1.156463 | \n", - "
27 | \n", - "28 | \n", - "1700 | \n", - "0.220500 | \n", - "0.4500 | \n", - "2.040816 | \n", - "
28 | \n", - "29 | \n", - "1705 | \n", - "0.235200 | \n", - "0.5000 | \n", - "2.125850 | \n", - "
29 | \n", - "30 | \n", - "1710 | \n", - "0.323400 | \n", - "0.5500 | \n", - "1.700680 | \n", - "
30 | \n", - "31 | \n", - "1715 | \n", - "0.242550 | \n", - "0.5875 | \n", - "2.422181 | \n", - "
31 | \n", - "32 | \n", - "1720 | \n", - "0.213150 | \n", - "0.6250 | \n", - "2.932207 | \n", - "
32 | \n", - "33 | \n", - "1725 | \n", - "0.286650 | \n", - "0.6500 | \n", - "2.267574 | \n", - "
33 | \n", - "34 | \n", - "1730 | \n", - "0.191100 | \n", - "0.6650 | \n", - "3.479853 | \n", - "
34 | \n", - "35 | \n", - "1735 | \n", - "0.235200 | \n", - "0.6800 | \n", - "2.891156 | \n", - "
35 | \n", - "36 | \n", - "1740 | \n", - "0.198450 | \n", - "0.7000 | \n", - "3.527337 | \n", - "
36 | \n", - "37 | \n", - "1745 | \n", - "0.202125 | \n", - "0.7250 | \n", - "3.586889 | \n", - "
37 | \n", - "38 | \n", - "1750 | \n", - "0.227850 | \n", - "0.7500 | \n", - "3.291639 | \n", - "
38 | \n", - "39 | \n", - "1755 | \n", - "0.260925 | \n", - "0.7850 | \n", - "3.008527 | \n", - "
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