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Commit 2518a39c authored by 8d8f65243a3005308e219351e328782f's avatar 8d8f65243a3005308e219351e328782f
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Changement du lien, référence à un fichier local

parent c72824bd
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Showing with 128 additions and 13 deletions
module3/exo1/analyse-syndrome-grippal.ipynb
View file @ 2518a39c
...@@ -30,9 +30,21 @@ ...@@ -30,9 +30,21 @@
"cell_type": "code", "cell_type": "code",
"execution_count": 2, "execution_count": 2,
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [
{
"data": {
"text/plain": [
"'https://app-learninglab.inria.fr/moocrr/gitlab/8d8f65243a3005308e219351e328782f/mooc-rr/raw/master/module3/exo1/incidence-PAY-3.csv?inline=false'"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [ "source": [
"data_url = \"http://www.sentiweb.fr/datasets/incidence-PAY-3.csv\"" "data_url = \"https://app-learninglab.inria.fr/moocrr/gitlab/8d8f65243a3005308e219351e328782f/mooc-rr/raw/master/module3/exo1/incidence-PAY-3.csv?inline=false\"\n",
"data_url"
] ]
}, },
{ {
...@@ -2207,7 +2219,7 @@ ...@@ -2207,7 +2219,7 @@
{ {
"data": { "data": {
"text/plain": [ "text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x7f9fc545c5f8>" "<matplotlib.axes._subplots.AxesSubplot at 0x7fbfc31345c0>"
] ]
}, },
"execution_count": 9, "execution_count": 9,
...@@ -2240,18 +2252,30 @@ ...@@ -2240,18 +2252,30 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": 10,
"metadata": {}, "metadata": {},
"outputs": [ "outputs": [
{ {
"data": { "data": {
"text/plain": [ "text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x7f9fc32af358>" "<matplotlib.axes._subplots.AxesSubplot at 0x7fbfc0f904a8>"
] ]
}, },
"execution_count": 10, "execution_count": 10,
"metadata": {}, "metadata": {},
"output_type": "execute_result" "output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
} }
], ],
"source": [ "source": [
...@@ -2288,7 +2312,7 @@ ...@@ -2288,7 +2312,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": 11,
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
"source": [ "source": [
...@@ -2308,7 +2332,7 @@ ...@@ -2308,7 +2332,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": 12,
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
"source": [ "source": [
...@@ -2332,9 +2356,32 @@ ...@@ -2332,9 +2356,32 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": 13,
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x7fbfc0f1fc50>"
]
},
"execution_count": 13,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [ "source": [
"yearly_incidence.plot(style='*')" "yearly_incidence.plot(style='*')"
] ]
...@@ -2348,9 +2395,54 @@ ...@@ -2348,9 +2395,54 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": 14,
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [
{
"data": {
"text/plain": [
"2014 1600941\n",
"1991 1659249\n",
"1995 1840410\n",
"2012 2175217\n",
"2003 2234584\n",
"2019 2254386\n",
"2006 2307352\n",
"2017 2321583\n",
"2001 2529279\n",
"1992 2574578\n",
"1993 2703886\n",
"2018 2705325\n",
"1988 2765617\n",
"2007 2780164\n",
"1987 2855570\n",
"2016 2856393\n",
"2011 2857040\n",
"2008 2973918\n",
"1998 3034904\n",
"2002 3125418\n",
"2009 3444020\n",
"1994 3514763\n",
"1996 3539413\n",
"2004 3567744\n",
"1997 3620066\n",
"2015 3654892\n",
"2000 3826372\n",
"2005 3835025\n",
"1999 3908112\n",
"2010 4111392\n",
"2013 4182691\n",
"1986 5115251\n",
"1990 5235827\n",
"1989 5466192\n",
"dtype: int64"
]
},
"execution_count": 14,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [ "source": [
"yearly_incidence.sort_values()" "yearly_incidence.sort_values()"
] ]
...@@ -2365,9 +2457,32 @@ ...@@ -2365,9 +2457,32 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": 15,
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x7fbfc0ef69e8>"
]
},
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [ "source": [
"yearly_incidence.hist(xrot=20)" "yearly_incidence.hist(xrot=20)"
] ]
......
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