diff --git a/Spectacle/Stat_desc.ipynb b/Spectacle/Stat_desc.ipynb index ecff10b..731d84e 100644 --- a/Spectacle/Stat_desc.ipynb +++ b/Spectacle/Stat_desc.ipynb @@ -18,7 +18,7 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 85, "id": "aa915888-cede-4eb0-8a26-7df573d29a3e", "metadata": {}, "outputs": [], @@ -30,12 +30,13 @@ "from datetime import date, timedelta, datetime\n", "import numpy as np\n", "import matplotlib.pyplot as plt\n", - "import re" + "import re\n", + "import io" ] }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 4, "id": "17949e81-c30b-4fdf-9872-d7dc2b22ba9e", "metadata": {}, "outputs": [], @@ -47,7 +48,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 8, "id": "9c1737a2-bad8-4266-8dec-452085d8cfe7", "metadata": {}, "outputs": [ @@ -60,7 +61,7 @@ " 'projet-bdc2324-team1/0_Input/Company_10/target_information.csv']" ] }, - "execution_count": 3, + "execution_count": 8, "metadata": {}, "output_type": "execute_result" } @@ -617,7 +618,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 63, "id": "afd044b8-ac83-4a35-b959-700cae0b3b41", "metadata": {}, "outputs": [ @@ -632,7 +633,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/tmp/ipykernel_427/3170175140.py:10: FutureWarning: The argument 'date_parser' is deprecated and will be removed in a future version. Please use 'date_format' instead, or read your data in as 'object' dtype and then call 'to_datetime'.\n", + "/tmp/ipykernel_436/3170175140.py:10: FutureWarning: The argument 'date_parser' is deprecated and will be removed in a future version. Please use 'date_format' instead, or read your data in as 'object' dtype and then call 'to_datetime'.\n", " df = pd.read_csv(file_in, sep=\",\", parse_dates = datetime_col, date_parser=custom_date_parser)\n" ] }, @@ -647,7 +648,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/tmp/ipykernel_427/3170175140.py:10: FutureWarning: The argument 'date_parser' is deprecated and will be removed in a future version. Please use 'date_format' instead, or read your data in as 'object' dtype and then call 'to_datetime'.\n", + "/tmp/ipykernel_436/3170175140.py:10: FutureWarning: The argument 'date_parser' is deprecated and will be removed in a future version. Please use 'date_format' instead, or read your data in as 'object' dtype and then call 'to_datetime'.\n", " df = pd.read_csv(file_in, sep=\",\", parse_dates = datetime_col, date_parser=custom_date_parser)\n" ] }, @@ -662,7 +663,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/tmp/ipykernel_427/3170175140.py:10: FutureWarning: The argument 'date_parser' is deprecated and will be removed in a future version. Please use 'date_format' instead, or read your data in as 'object' dtype and then call 'to_datetime'.\n", + "/tmp/ipykernel_436/3170175140.py:10: FutureWarning: The argument 'date_parser' is deprecated and will be removed in a future version. Please use 'date_format' instead, or read your data in as 'object' dtype and then call 'to_datetime'.\n", " df = pd.read_csv(file_in, sep=\",\", parse_dates = datetime_col, date_parser=custom_date_parser)\n" ] }, @@ -677,7 +678,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/tmp/ipykernel_427/3170175140.py:10: FutureWarning: The argument 'date_parser' is deprecated and will be removed in a future version. Please use 'date_format' instead, or read your data in as 'object' dtype and then call 'to_datetime'.\n", + "/tmp/ipykernel_436/3170175140.py:10: FutureWarning: The argument 'date_parser' is deprecated and will be removed in a future version. Please use 'date_format' instead, or read your data in as 'object' dtype and then call 'to_datetime'.\n", " df = pd.read_csv(file_in, sep=\",\", parse_dates = datetime_col, date_parser=custom_date_parser)\n", ":28: SettingWithCopyWarning: \n", "A value is trying to be set on a copy of a slice from a DataFrame\n", @@ -697,7 +698,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/tmp/ipykernel_427/3170175140.py:10: FutureWarning: The argument 'date_parser' is deprecated and will be removed in a future version. Please use 'date_format' instead, or read your data in as 'object' dtype and then call 'to_datetime'.\n", + "/tmp/ipykernel_436/3170175140.py:10: FutureWarning: The argument 'date_parser' is deprecated and will be removed in a future version. Please use 'date_format' instead, or read your data in as 'object' dtype and then call 'to_datetime'.\n", " df = pd.read_csv(file_in, sep=\",\", parse_dates = datetime_col, date_parser=custom_date_parser)\n" ] }, @@ -712,7 +713,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/tmp/ipykernel_427/3170175140.py:10: FutureWarning: The argument 'date_parser' is deprecated and will be removed in a future version. Please use 'date_format' instead, or read your data in as 'object' dtype and then call 'to_datetime'.\n", + "/tmp/ipykernel_436/3170175140.py:10: FutureWarning: The argument 'date_parser' is deprecated and will be removed in a future version. Please use 'date_format' instead, or read your data in as 'object' dtype and then call 'to_datetime'.\n", " df = pd.read_csv(file_in, sep=\",\", parse_dates = datetime_col, date_parser=custom_date_parser)\n" ] }, @@ -727,7 +728,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/tmp/ipykernel_427/3170175140.py:10: FutureWarning: The argument 'date_parser' is deprecated and will be removed in a future version. Please use 'date_format' instead, or read your data in as 'object' dtype and then call 'to_datetime'.\n", + "/tmp/ipykernel_436/3170175140.py:10: FutureWarning: The argument 'date_parser' is deprecated and will be removed in a future version. Please use 'date_format' instead, or read your data in as 'object' dtype and then call 'to_datetime'.\n", " df = pd.read_csv(file_in, sep=\",\", parse_dates = datetime_col, date_parser=custom_date_parser)\n" ] }, @@ -742,7 +743,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/tmp/ipykernel_427/3170175140.py:10: FutureWarning: The argument 'date_parser' is deprecated and will be removed in a future version. Please use 'date_format' instead, or read your data in as 'object' dtype and then call 'to_datetime'.\n", + "/tmp/ipykernel_436/3170175140.py:10: FutureWarning: The argument 'date_parser' is deprecated and will be removed in a future version. Please use 'date_format' instead, or read your data in as 'object' dtype and then call 'to_datetime'.\n", " df = pd.read_csv(file_in, sep=\",\", parse_dates = datetime_col, date_parser=custom_date_parser)\n", ":28: SettingWithCopyWarning: \n", "A value is trying to be set on a copy of a slice from a DataFrame\n", @@ -762,7 +763,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/tmp/ipykernel_427/3170175140.py:10: FutureWarning: The argument 'date_parser' is deprecated and will be removed in a future version. Please use 'date_format' instead, or read your data in as 'object' dtype and then call 'to_datetime'.\n", + "/tmp/ipykernel_436/3170175140.py:10: FutureWarning: The argument 'date_parser' is deprecated and will be removed in a future version. Please use 'date_format' instead, or read your data in as 'object' dtype and then call 'to_datetime'.\n", " df = pd.read_csv(file_in, sep=\",\", parse_dates = datetime_col, date_parser=custom_date_parser)\n" ] }, @@ -777,7 +778,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/tmp/ipykernel_427/3170175140.py:10: FutureWarning: The argument 'date_parser' is deprecated and will be removed in a future version. Please use 'date_format' instead, or read your data in as 'object' dtype and then call 'to_datetime'.\n", + "/tmp/ipykernel_436/3170175140.py:10: FutureWarning: The argument 'date_parser' is deprecated and will be removed in a future version. Please use 'date_format' instead, or read your data in as 'object' dtype and then call 'to_datetime'.\n", " df = pd.read_csv(file_in, sep=\",\", parse_dates = datetime_col, date_parser=custom_date_parser)\n" ] }, @@ -792,9 +793,9 @@ "name": "stderr", "output_type": "stream", "text": [ - "/tmp/ipykernel_427/3170175140.py:10: FutureWarning: The argument 'date_parser' is deprecated and will be removed in a future version. Please use 'date_format' instead, or read your data in as 'object' dtype and then call 'to_datetime'.\n", + "/tmp/ipykernel_436/3170175140.py:10: FutureWarning: The argument 'date_parser' is deprecated and will be removed in a future version. Please use 'date_format' instead, or read your data in as 'object' dtype and then call 'to_datetime'.\n", " df = pd.read_csv(file_in, sep=\",\", parse_dates = datetime_col, date_parser=custom_date_parser)\n", - "/tmp/ipykernel_427/3170175140.py:10: DtypeWarning: Columns (4,8,10) have mixed types. Specify dtype option on import or set low_memory=False.\n", + "/tmp/ipykernel_436/3170175140.py:10: DtypeWarning: Columns (4,8,10) have mixed types. Specify dtype option on import or set low_memory=False.\n", " df = pd.read_csv(file_in, sep=\",\", parse_dates = datetime_col, date_parser=custom_date_parser)\n" ] }, @@ -809,7 +810,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/tmp/ipykernel_427/3170175140.py:10: FutureWarning: The argument 'date_parser' is deprecated and will be removed in a future version. Please use 'date_format' instead, or read your data in as 'object' dtype and then call 'to_datetime'.\n", + "/tmp/ipykernel_436/3170175140.py:10: FutureWarning: The argument 'date_parser' is deprecated and will be removed in a future version. Please use 'date_format' instead, or read your data in as 'object' dtype and then call 'to_datetime'.\n", " df = pd.read_csv(file_in, sep=\",\", parse_dates = datetime_col, date_parser=custom_date_parser)\n", ":28: SettingWithCopyWarning: \n", "A value is trying to be set on a copy of a slice from a DataFrame\n", @@ -829,7 +830,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/tmp/ipykernel_427/3170175140.py:10: FutureWarning: The argument 'date_parser' is deprecated and will be removed in a future version. Please use 'date_format' instead, or read your data in as 'object' dtype and then call 'to_datetime'.\n", + "/tmp/ipykernel_436/3170175140.py:10: FutureWarning: The argument 'date_parser' is deprecated and will be removed in a future version. Please use 'date_format' instead, or read your data in as 'object' dtype and then call 'to_datetime'.\n", " df = pd.read_csv(file_in, sep=\",\", parse_dates = datetime_col, date_parser=custom_date_parser)\n" ] }, @@ -844,7 +845,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/tmp/ipykernel_427/3170175140.py:10: FutureWarning: The argument 'date_parser' is deprecated and will be removed in a future version. Please use 'date_format' instead, or read your data in as 'object' dtype and then call 'to_datetime'.\n", + "/tmp/ipykernel_436/3170175140.py:10: FutureWarning: The argument 'date_parser' is deprecated and will be removed in a future version. Please use 'date_format' instead, or read your data in as 'object' dtype and then call 'to_datetime'.\n", " df = pd.read_csv(file_in, sep=\",\", parse_dates = datetime_col, date_parser=custom_date_parser)\n" ] }, @@ -859,7 +860,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/tmp/ipykernel_427/3170175140.py:10: FutureWarning: The argument 'date_parser' is deprecated and will be removed in a future version. Please use 'date_format' instead, or read your data in as 'object' dtype and then call 'to_datetime'.\n", + "/tmp/ipykernel_436/3170175140.py:10: FutureWarning: The argument 'date_parser' is deprecated and will be removed in a future version. Please use 'date_format' instead, or read your data in as 'object' dtype and then call 'to_datetime'.\n", " df = pd.read_csv(file_in, sep=\",\", parse_dates = datetime_col, date_parser=custom_date_parser)\n" ] }, @@ -874,7 +875,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/tmp/ipykernel_427/3170175140.py:10: FutureWarning: The argument 'date_parser' is deprecated and will be removed in a future version. Please use 'date_format' instead, or read your data in as 'object' dtype and then call 'to_datetime'.\n", + "/tmp/ipykernel_436/3170175140.py:10: FutureWarning: The argument 'date_parser' is deprecated and will be removed in a future version. Please use 'date_format' instead, or read your data in as 'object' dtype and then call 'to_datetime'.\n", " df = pd.read_csv(file_in, sep=\",\", parse_dates = datetime_col, date_parser=custom_date_parser)\n", ":28: SettingWithCopyWarning: \n", "A value is trying to be set on a copy of a slice from a DataFrame\n", @@ -894,7 +895,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/tmp/ipykernel_427/3170175140.py:10: FutureWarning: The argument 'date_parser' is deprecated and will be removed in a future version. Please use 'date_format' instead, or read your data in as 'object' dtype and then call 'to_datetime'.\n", + "/tmp/ipykernel_436/3170175140.py:10: FutureWarning: The argument 'date_parser' is deprecated and will be removed in a future version. Please use 'date_format' instead, or read your data in as 'object' dtype and then call 'to_datetime'.\n", " df = pd.read_csv(file_in, sep=\",\", parse_dates = datetime_col, date_parser=custom_date_parser)\n" ] }, @@ -909,7 +910,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/tmp/ipykernel_427/3170175140.py:10: FutureWarning: The argument 'date_parser' is deprecated and will be removed in a future version. Please use 'date_format' instead, or read your data in as 'object' dtype and then call 'to_datetime'.\n", + "/tmp/ipykernel_436/3170175140.py:10: FutureWarning: The argument 'date_parser' is deprecated and will be removed in a future version. Please use 'date_format' instead, or read your data in as 'object' dtype and then call 'to_datetime'.\n", " df = pd.read_csv(file_in, sep=\",\", parse_dates = datetime_col, date_parser=custom_date_parser)\n" ] }, @@ -924,9 +925,9 @@ "name": "stderr", "output_type": "stream", "text": [ - "/tmp/ipykernel_427/3170175140.py:10: FutureWarning: The argument 'date_parser' is deprecated and will be removed in a future version. Please use 'date_format' instead, or read your data in as 'object' dtype and then call 'to_datetime'.\n", + "/tmp/ipykernel_436/3170175140.py:10: FutureWarning: The argument 'date_parser' is deprecated and will be removed in a future version. Please use 'date_format' instead, or read your data in as 'object' dtype and then call 'to_datetime'.\n", " df = pd.read_csv(file_in, sep=\",\", parse_dates = datetime_col, date_parser=custom_date_parser)\n", - "/tmp/ipykernel_427/3170175140.py:10: DtypeWarning: Columns (8,9) have mixed types. Specify dtype option on import or set low_memory=False.\n", + "/tmp/ipykernel_436/3170175140.py:10: DtypeWarning: Columns (8,9) have mixed types. Specify dtype option on import or set low_memory=False.\n", " df = pd.read_csv(file_in, sep=\",\", parse_dates = datetime_col, date_parser=custom_date_parser)\n" ] }, @@ -941,7 +942,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/tmp/ipykernel_427/3170175140.py:10: FutureWarning: The argument 'date_parser' is deprecated and will be removed in a future version. Please use 'date_format' instead, or read your data in as 'object' dtype and then call 'to_datetime'.\n", + "/tmp/ipykernel_436/3170175140.py:10: FutureWarning: The argument 'date_parser' is deprecated and will be removed in a future version. Please use 'date_format' instead, or read your data in as 'object' dtype and then call 'to_datetime'.\n", " df = pd.read_csv(file_in, sep=\",\", parse_dates = datetime_col, date_parser=custom_date_parser)\n", ":28: SettingWithCopyWarning: \n", "A value is trying to be set on a copy of a slice from a DataFrame\n", @@ -1235,7 +1236,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 119, "id": "3a1fdd6b-ac43-4e90-9a31-4f522bcc44bb", "metadata": {}, "outputs": [ @@ -1243,7 +1244,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/tmp/ipykernel_427/3450421856.py:9: DtypeWarning: Columns (38) have mixed types. Specify dtype option on import or set low_memory=False.\n", + "/tmp/ipykernel_436/3450421856.py:9: DtypeWarning: Columns (38) have mixed types. Specify dtype option on import or set low_memory=False.\n", " train_set_spectacle = pd.read_csv(file_in, sep=\",\")\n" ] } @@ -1262,7 +1263,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 120, "id": "3a4c1ff4-2861-4e86-99df-26eea0370dc3", "metadata": {}, "outputs": [ @@ -1313,87 +1314,63 @@ " \n", " \n", " 0\n", - " 10_299341\n", + " 10_492779\n", " 0.0\n", " 0.0\n", " 0.0\n", " 0.0\n", " 0.0\n", - " NaN\n", - " NaN\n", - " NaN\n", + " 550.0\n", + " 550.0\n", + " -1.0\n", " 0.0\n", " ...\n", " fr\n", - " male\n", - " 0\n", - " 1\n", - " 0\n", - " 1.0\n", - " 12.0\n", - " 3.0\n", - " 0 days 05:47:26.333333333\n", - " 0.0\n", - " \n", - " \n", - " 1\n", - " 10_63788\n", - " 3.0\n", - " 2.0\n", - " 62.0\n", - " 1.0\n", - " 1.0\n", - " 393.205891\n", - " 281.017639\n", - " 112.188252\n", - " 3.0\n", - " ...\n", - " fr\n", " female\n", " 1\n", " 0\n", " 0\n", " 1.0\n", - " 3.0\n", - " 1.0\n", - " 0 days 05:13:51\n", - " 1.0\n", + " 13.0\n", + " 4.0\n", + " 8 days 04:08:27\n", + " 0.0\n", " \n", " \n", - " 2\n", - " 10_759946\n", + " 1\n", + " 10_563424\n", " 0.0\n", " 0.0\n", " 0.0\n", " 0.0\n", " 0.0\n", - " NaN\n", - " NaN\n", - " NaN\n", + " 550.0\n", + " 550.0\n", + " -1.0\n", " 0.0\n", " ...\n", - " NaN\n", + " fr\n", " other\n", " 0\n", " 0\n", " 1\n", - " NaN\n", - " 0.0\n", - " 0.0\n", - " NaN\n", + " 1.0\n", + " 10.0\n", + " 9.0\n", + " 0 days 01:39:58.555555555\n", " 0.0\n", " \n", " \n", - " 3\n", - " 10_20653\n", + " 2\n", + " 10_44369\n", " 0.0\n", " 0.0\n", " 0.0\n", " 0.0\n", " 0.0\n", - " NaN\n", - " NaN\n", - " NaN\n", + " 550.0\n", + " 550.0\n", + " -1.0\n", " 0.0\n", " ...\n", " fr\n", @@ -1402,22 +1379,22 @@ " 1\n", " 0\n", " 1.0\n", - " 11.0\n", - " 10.0\n", - " 1 days 00:45:54\n", + " 14.0\n", + " 0.0\n", + " NaN\n", " 0.0\n", " \n", " \n", - " 4\n", - " 10_824705\n", + " 3\n", + " 10_620271\n", " 0.0\n", " 0.0\n", " 0.0\n", " 0.0\n", " 0.0\n", - " NaN\n", - " NaN\n", - " NaN\n", + " 550.0\n", + " 550.0\n", + " -1.0\n", " 0.0\n", " ...\n", " NaN\n", @@ -1426,7 +1403,31 @@ " 0\n", " 1\n", " NaN\n", + " 9.0\n", " 0.0\n", + " NaN\n", + " 0.0\n", + " \n", + " \n", + " 4\n", + " 10_687644\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 550.0\n", + " 550.0\n", + " -1.0\n", + " 0.0\n", + " ...\n", + " NaN\n", + " other\n", + " 0\n", + " 0\n", + " 1\n", + " NaN\n", + " 4.0\n", " 0.0\n", " NaN\n", " 0.0\n", @@ -1438,44 +1439,44 @@ ], "text/plain": [ " customer_id nb_tickets nb_purchases total_amount nb_suppliers \\\n", - "0 10_299341 0.0 0.0 0.0 0.0 \n", - "1 10_63788 3.0 2.0 62.0 1.0 \n", - "2 10_759946 0.0 0.0 0.0 0.0 \n", - "3 10_20653 0.0 0.0 0.0 0.0 \n", - "4 10_824705 0.0 0.0 0.0 0.0 \n", + "0 10_492779 0.0 0.0 0.0 0.0 \n", + "1 10_563424 0.0 0.0 0.0 0.0 \n", + "2 10_44369 0.0 0.0 0.0 0.0 \n", + "3 10_620271 0.0 0.0 0.0 0.0 \n", + "4 10_687644 0.0 0.0 0.0 0.0 \n", "\n", " vente_internet_max purchase_date_min purchase_date_max \\\n", - "0 0.0 NaN NaN \n", - "1 1.0 393.205891 281.017639 \n", - "2 0.0 NaN NaN \n", - "3 0.0 NaN NaN \n", - "4 0.0 NaN NaN \n", + "0 0.0 550.0 550.0 \n", + "1 0.0 550.0 550.0 \n", + "2 0.0 550.0 550.0 \n", + "3 0.0 550.0 550.0 \n", + "4 0.0 550.0 550.0 \n", "\n", " time_between_purchase nb_tickets_internet ... country gender_label \\\n", - "0 NaN 0.0 ... fr male \n", - "1 112.188252 3.0 ... fr female \n", - "2 NaN 0.0 ... NaN other \n", - "3 NaN 0.0 ... fr male \n", - "4 NaN 0.0 ... NaN other \n", + "0 -1.0 0.0 ... fr female \n", + "1 -1.0 0.0 ... fr other \n", + "2 -1.0 0.0 ... fr male \n", + "3 -1.0 0.0 ... NaN other \n", + "4 -1.0 0.0 ... NaN other \n", "\n", " gender_female gender_male gender_other country_fr nb_campaigns \\\n", - "0 0 1 0 1.0 12.0 \n", - "1 1 0 0 1.0 3.0 \n", - "2 0 0 1 NaN 0.0 \n", - "3 0 1 0 1.0 11.0 \n", - "4 0 0 1 NaN 0.0 \n", + "0 1 0 0 1.0 13.0 \n", + "1 0 0 1 1.0 10.0 \n", + "2 0 1 0 1.0 14.0 \n", + "3 0 0 1 NaN 9.0 \n", + "4 0 0 1 NaN 4.0 \n", "\n", " nb_campaigns_opened time_to_open y_has_purchased \n", - "0 3.0 0 days 05:47:26.333333333 0.0 \n", - "1 1.0 0 days 05:13:51 1.0 \n", + "0 4.0 8 days 04:08:27 0.0 \n", + "1 9.0 0 days 01:39:58.555555555 0.0 \n", "2 0.0 NaN 0.0 \n", - "3 10.0 1 days 00:45:54 0.0 \n", + "3 0.0 NaN 0.0 \n", "4 0.0 NaN 0.0 \n", "\n", "[5 rows x 40 columns]" ] }, - "execution_count": 12, + "execution_count": 120, "metadata": {}, "output_type": "execute_result" } @@ -1486,7 +1487,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 121, "id": "4632384d-2a06-445d-9fdb-b0c91b37ebaf", "metadata": {}, "outputs": [ @@ -1496,7 +1497,7 @@ "array([0., 1.])" ] }, - "execution_count": 11, + "execution_count": 121, "metadata": {}, "output_type": "execute_result" } @@ -1509,7 +1510,7 @@ }, { "cell_type": "code", - "execution_count": 66, + "execution_count": 122, "id": "5fd56696-b479-46c7-8a59-fb8137db5fb5", "metadata": {}, "outputs": [ @@ -1519,7 +1520,7 @@ "array([10, 11, 12, 13, 14])" ] }, - "execution_count": 66, + "execution_count": 122, "metadata": {}, "output_type": "execute_result" } @@ -1533,7 +1534,7 @@ }, { "cell_type": "code", - "execution_count": 71, + "execution_count": 123, "id": "91c6e047-43d2-456c-81f1-087026eef4f0", "metadata": {}, "outputs": [ @@ -1584,15 +1585,63 @@ " \n", " \n", " 0\n", - " 10_299341\n", + " 10_492779\n", " 0.0\n", " 0.0\n", " 0.0\n", " 0.0\n", " 0.0\n", - " NaN\n", - " NaN\n", - " NaN\n", + " 550.0\n", + " 550.0\n", + " -1.0\n", + " 0.0\n", + " ...\n", + " female\n", + " 1\n", + " 0\n", + " 0\n", + " 1.0\n", + " 13.0\n", + " 4.0\n", + " 8 days 04:08:27\n", + " 0.0\n", + " 10\n", + " \n", + " \n", + " 1\n", + " 10_563424\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 550.0\n", + " 550.0\n", + " -1.0\n", + " 0.0\n", + " ...\n", + " other\n", + " 0\n", + " 0\n", + " 1\n", + " 1.0\n", + " 10.0\n", + " 9.0\n", + " 0 days 01:39:58.555555555\n", + " 0.0\n", + " 10\n", + " \n", + " \n", + " 2\n", + " 10_44369\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 550.0\n", + " 550.0\n", + " -1.0\n", " 0.0\n", " ...\n", " male\n", @@ -1600,55 +1649,7 @@ " 1\n", " 0\n", " 1.0\n", - " 12.0\n", - " 3.0\n", - " 0 days 05:47:26.333333333\n", - " 0.0\n", - " 10\n", - " \n", - " \n", - " 1\n", - " 10_63788\n", - " 3.0\n", - " 2.0\n", - " 62.0\n", - " 1.0\n", - " 1.0\n", - " 393.205891\n", - " 281.017639\n", - " 112.188252\n", - " 3.0\n", - " ...\n", - " female\n", - " 1\n", - " 0\n", - " 0\n", - " 1.0\n", - " 3.0\n", - " 1.0\n", - " 0 days 05:13:51\n", - " 1.0\n", - " 10\n", - " \n", - " \n", - " 2\n", - " 10_759946\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", - " NaN\n", - " NaN\n", - " NaN\n", - " 0.0\n", - " ...\n", - " other\n", - " 0\n", - " 0\n", - " 1\n", - " NaN\n", - " 0.0\n", + " 14.0\n", " 0.0\n", " NaN\n", " 0.0\n", @@ -1656,39 +1657,15 @@ " \n", " \n", " 3\n", - " 10_20653\n", + " 10_620271\n", " 0.0\n", " 0.0\n", " 0.0\n", " 0.0\n", " 0.0\n", - " NaN\n", - " NaN\n", - " NaN\n", - " 0.0\n", - " ...\n", - " male\n", - " 0\n", - " 1\n", - " 0\n", - " 1.0\n", - " 11.0\n", - " 10.0\n", - " 1 days 00:45:54\n", - " 0.0\n", - " 10\n", - " \n", - " \n", - " 4\n", - " 10_824705\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", - " NaN\n", - " NaN\n", - " NaN\n", + " 550.0\n", + " 550.0\n", + " -1.0\n", " 0.0\n", " ...\n", " other\n", @@ -1696,7 +1673,31 @@ " 0\n", " 1\n", " NaN\n", + " 9.0\n", " 0.0\n", + " NaN\n", + " 0.0\n", + " 10\n", + " \n", + " \n", + " 4\n", + " 10_687644\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 550.0\n", + " 550.0\n", + " -1.0\n", + " 0.0\n", + " ...\n", + " other\n", + " 0\n", + " 0\n", + " 1\n", + " NaN\n", + " 4.0\n", " 0.0\n", " NaN\n", " 0.0\n", @@ -1709,38 +1710,38 @@ ], "text/plain": [ " customer_id nb_tickets nb_purchases total_amount nb_suppliers \\\n", - "0 10_299341 0.0 0.0 0.0 0.0 \n", - "1 10_63788 3.0 2.0 62.0 1.0 \n", - "2 10_759946 0.0 0.0 0.0 0.0 \n", - "3 10_20653 0.0 0.0 0.0 0.0 \n", - "4 10_824705 0.0 0.0 0.0 0.0 \n", + "0 10_492779 0.0 0.0 0.0 0.0 \n", + "1 10_563424 0.0 0.0 0.0 0.0 \n", + "2 10_44369 0.0 0.0 0.0 0.0 \n", + "3 10_620271 0.0 0.0 0.0 0.0 \n", + "4 10_687644 0.0 0.0 0.0 0.0 \n", "\n", " vente_internet_max purchase_date_min purchase_date_max \\\n", - "0 0.0 NaN NaN \n", - "1 1.0 393.205891 281.017639 \n", - "2 0.0 NaN NaN \n", - "3 0.0 NaN NaN \n", - "4 0.0 NaN NaN \n", + "0 0.0 550.0 550.0 \n", + "1 0.0 550.0 550.0 \n", + "2 0.0 550.0 550.0 \n", + "3 0.0 550.0 550.0 \n", + "4 0.0 550.0 550.0 \n", "\n", " time_between_purchase nb_tickets_internet ... gender_label \\\n", - "0 NaN 0.0 ... male \n", - "1 112.188252 3.0 ... female \n", - "2 NaN 0.0 ... other \n", - "3 NaN 0.0 ... male \n", - "4 NaN 0.0 ... other \n", + "0 -1.0 0.0 ... female \n", + "1 -1.0 0.0 ... other \n", + "2 -1.0 0.0 ... male \n", + "3 -1.0 0.0 ... other \n", + "4 -1.0 0.0 ... other \n", "\n", " gender_female gender_male gender_other country_fr nb_campaigns \\\n", - "0 0 1 0 1.0 12.0 \n", - "1 1 0 0 1.0 3.0 \n", - "2 0 0 1 NaN 0.0 \n", - "3 0 1 0 1.0 11.0 \n", - "4 0 0 1 NaN 0.0 \n", + "0 1 0 0 1.0 13.0 \n", + "1 0 0 1 1.0 10.0 \n", + "2 0 1 0 1.0 14.0 \n", + "3 0 0 1 NaN 9.0 \n", + "4 0 0 1 NaN 4.0 \n", "\n", " nb_campaigns_opened time_to_open y_has_purchased \\\n", - "0 3.0 0 days 05:47:26.333333333 0.0 \n", - "1 1.0 0 days 05:13:51 1.0 \n", + "0 4.0 8 days 04:08:27 0.0 \n", + "1 9.0 0 days 01:39:58.555555555 0.0 \n", "2 0.0 NaN 0.0 \n", - "3 10.0 1 days 00:45:54 0.0 \n", + "3 0.0 NaN 0.0 \n", "4 0.0 NaN 0.0 \n", "\n", " number_company \n", @@ -1753,7 +1754,7 @@ "[5 rows x 41 columns]" ] }, - "execution_count": 71, + "execution_count": 123, "metadata": {}, "output_type": "execute_result" } @@ -1762,14 +1763,6 @@ "train_set_spectacle.head()" ] }, - { - "cell_type": "code", - "execution_count": null, - "id": "21e562d4-035d-4112-9f94-527b7fd935cf", - "metadata": {}, - "outputs": [], - "source": [] - }, { "cell_type": "markdown", "id": "fff306c2-1d41-4ef6-867b-ba9a7cf4ee68", @@ -1788,7 +1781,7 @@ }, { "cell_type": "code", - "execution_count": 101, + "execution_count": 132, "id": "5b460061-f8b5-4a6b-ba59-539446d8487f", "metadata": {}, "outputs": [], @@ -1829,7 +1822,7 @@ }, { "cell_type": "code", - "execution_count": 102, + "execution_count": 166, "id": "cccee90c-67d1-4e14-8410-1210a5ef97d9", "metadata": {}, "outputs": [], @@ -1877,7 +1870,7 @@ }, { "cell_type": "code", - "execution_count": 48, + "execution_count": 133, "id": "b6417f09-a6c7-4319-95b3-98c95ec5a3b7", "metadata": {}, "outputs": [ @@ -1892,7 +1885,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/tmp/ipykernel_1173/2987234667.py:8: FutureWarning: The argument 'date_parser' is deprecated and will be removed in a future version. Please use 'date_format' instead, or read your data in as 'object' dtype and then call 'to_datetime'.\n", + "/tmp/ipykernel_436/3170175140.py:10: FutureWarning: The argument 'date_parser' is deprecated and will be removed in a future version. Please use 'date_format' instead, or read your data in as 'object' dtype and then call 'to_datetime'.\n", " df = pd.read_csv(file_in, sep=\",\", parse_dates = datetime_col, date_parser=custom_date_parser)\n" ] }, @@ -1914,17 +1907,152 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 145, "id": "f08c082e-f76f-41f3-9530-3e6700eb74d9", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "outlier for tenant 10\n", + "File path : projet-bdc2324-team1/0_Input/Company_10/products_purchased_reduced.csv\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/tmp/ipykernel_436/3170175140.py:10: FutureWarning: The argument 'date_parser' is deprecated and will be removed in a future version. Please use 'date_format' instead, or read your data in as 'object' dtype and then call 'to_datetime'.\n", + " df = pd.read_csv(file_in, sep=\",\", parse_dates = datetime_col, date_parser=custom_date_parser)\n" + ] + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "outlier for tenant 11\n", + "File path : projet-bdc2324-team1/0_Input/Company_11/products_purchased_reduced.csv\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/tmp/ipykernel_436/3170175140.py:10: FutureWarning: The argument 'date_parser' is deprecated and will be removed in a future version. Please use 'date_format' instead, or read your data in as 'object' dtype and then call 'to_datetime'.\n", + " df = pd.read_csv(file_in, sep=\",\", parse_dates = datetime_col, date_parser=custom_date_parser)\n" + ] + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "outlier for tenant 12\n", + "File path : projet-bdc2324-team1/0_Input/Company_12/products_purchased_reduced.csv\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/tmp/ipykernel_436/3170175140.py:10: FutureWarning: The argument 'date_parser' is deprecated and will be removed in a future version. Please use 'date_format' instead, or read your data in as 'object' dtype and then call 'to_datetime'.\n", + " df = pd.read_csv(file_in, sep=\",\", parse_dates = datetime_col, date_parser=custom_date_parser)\n", + "/tmp/ipykernel_436/3170175140.py:10: DtypeWarning: Columns (4,8,10) have mixed types. Specify dtype option on import or set low_memory=False.\n", + " df = pd.read_csv(file_in, sep=\",\", parse_dates = datetime_col, date_parser=custom_date_parser)\n" + ] + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "outlier for tenant 13\n", + "File path : projet-bdc2324-team1/0_Input/Company_13/products_purchased_reduced.csv\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/tmp/ipykernel_436/3170175140.py:10: FutureWarning: The argument 'date_parser' is deprecated and will be removed in a future version. Please use 'date_format' instead, or read your data in as 'object' dtype and then call 'to_datetime'.\n", + " df = pd.read_csv(file_in, sep=\",\", parse_dates = datetime_col, date_parser=custom_date_parser)\n" + ] + }, + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAATEAAAEQCAYAAADYlUP7AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8g+/7EAAAACXBIWXMAAA9hAAAPYQGoP6dpAAA4m0lEQVR4nO3dd3hT5d8G8Ds7TffegzIKFArIlF0EyigCArKnKArCDxERBxQURBQVBGUoMgR8EQcCMoqAKLL3HmUVaUtL926TPO8fsdHQlbRpn5zk+7muXNr05OROcnpzVs4jYowxEEKIQIl5ByCEkOqgEiOECBqVGCFE0KjECCGCRiVGCBE0KjFCiKBRiRFCBI1KjBAiaFRihBBB415iFy9ehEqlwvLly3lHIYQIkFlKbP369RCJRPqbVCqFr68vhg0bhlu3bpX7uOzsbAwePBhTp07F1KlTzRGlynbv3o158+aV+buQkBCMGzdO/3NCQgLmzZuH8+fPl5p23rx5EIlENROyikQiUbmvzVZcvXoV8+bNw71792rl+T744ANs377dbPMzR/6KlnFBY2awbt06BoCtW7eOHTt2jB06dIgtWLCA2dnZMS8vL5aWllbm44YMGcJGjhzJtFqtOWJUy5QpU1h5b8fZs2dZXFyc/udTp07pX++THjx4wI4dO1ZTMasEAIuJieEdg6tt27YxAOzQoUO18nz29vZs7NixZpufOfJXtIwLmdSchdikSRO0atUKANC1a1doNBrExMRg+/btGD9+fKnpv//+e3M+fZXk5eVBpVJVOE2LFi2Mnl9AQAACAgKqG4sQYixzNGHJmtipU6cM7v/1118ZALZo0SKD+0+dOsX69evHXF1dmUKhYM2bN2dbt24tc56xsbFs3LhxzNXVlalUKhYdHc1u375tMG1sbCx79tlnmb+/P1MoFKxu3brspZdeYikpKQbTxcTEMADszJkzbNCgQczFxYX5+PiwsWPHMgClbnfv3mWMMRYcHKz/V/XQoUNlTluyplPyHP+l0WjY4sWLWVhYGJPL5czT05ONHj2aPXjwwGC6Ll26sPDwcHby5EnWsWNHZmdnx+rUqcMWLVrENBpNpZ9DZmYmmzhxInNzc2P29vYsKiqK3bhxo8w1sZs3b7Lhw4czT09PJpfLWcOGDdmKFStK5X7//fdZgwYNmFKpZM7Ozqxp06Zs6dKlFeYoeY82b97MZs2axXx8fJi9vT2Ljo5mSUlJLCsri7344ovM3d2dubu7s3HjxrHs7GyDeeTn57PZs2ezkJAQJpPJmJ+fH5s8eTJLT083mC44OJj17duX7dmzh7Vo0YIplUoWFhbG1q5dq5+mZFl68layJm3q8nP58mU2bNgw5uTkxLy8vNj48eNZRkaGfrqynqtLly6MMcZyc3PZ66+/zkJCQphCoWCurq6sZcuWbMuWLeW+n5XlZ4yxtWvXsoiICP08BwwYwK5evar/fWXL+IoVK1inTp2Yp6cnU6lUrEmTJmzx4sWsqKio1Ptd1hpmly5d9K+RMcYmTZrEFAoFO336tP4+jUbDunXrxry8vFhCQkK5r9dUNVpiK1asYADYjz/+qL/v4MGDTC6Xs06dOrGtW7eyvXv3snHjxpX6UErmGRgYyCZMmMD27NnD1qxZw7y8vFhgYKDBwrxy5Uq2aNEitmPHDnb48GG2YcMG1qxZMxYWFmbwIZQshMHBwezNN99k+/fvZ9u3b2dxcXFs8ODBDAA7duyY/lZQUMAYM/zgMjMz9dneffdd/bQlhVRWib300ksMAHv11VfZ3r172apVq5inpycLDAw0+EPp0qULc3d3Z/Xr12erVq1i+/fvZ5MnT2YA2IYNGyr8DLRaLYuMjGQKhYItXLiQxcbGspiYGBYaGlqqxK5cuaIvpI0bN7LY2Fj2+uuvM7FYzObNm6efbtGiRUwikbCYmBh24MABtnfvXrZ06VKDacpSUmLBwcFs3Lhx+tfs4ODAIiMjWY8ePdjMmTNZbGwsW7x4MZNIJGzq1KkGryUqKopJpVI2Z84cFhsby5YsWcLs7e1ZixYt9J9LyWcTEBDAGjduzDZu3Mj27dvHhgwZwgCww4cPM8YYS05OZh988AEDwL744gv9Z5acnFyl5ScsLIzNnTuX7d+/n3366adMoVCw8ePH66c7duwYs7OzY3369NE/15UrVxhjuj9ulUrFPv30U3bo0CG2a9cu9uGHH7Lly5eX+35Wlr/kd8OHD2e//vor27hxIwsNDWXOzs7s5s2bjDFW6TL+2muvsZUrV7K9e/eygwcPss8++4x5eHgYvK6S99uYEsvPz2fNmzdnoaGh+r/VuXPnMrFYzGJjY8t9rVVh1hI7fvw4Ky4uZtnZ2Wzv3r3Mx8eHde7cmRUXF+unbdiwIWvRooXBfYwxFh0dzXx9ffVrHCXzHDhwoMF0f/31FwPAFixYUGYWrVbLiouL2f379xkA9ssvv+h/V7IQzp07t9TjKtpf8OQHV9E+sSdL7Nq1awwAmzx5ssF0J06cYADY22+/rb+vS5cuDAA7ceKEwbSNGzdmUVFRZWYrsWfPHgaALVu2zOD+hQsXliqxqKgoFhAQwDIzMw2mffXVV5lSqdTvw4yOjmbNmzev8HnLUlJi/fr1M7h/+vTpDACbNm2awf0DBgxgbm5u+p/37t3LALCPPvrIYLqtW7cyAGzNmjX6+4KDg5lSqWT379/X35efn8/c3NzYpEmT9PcZu0/JmOXnyVyTJ09mSqXSYN9uefvEmjRpwgYMGFBhhrKUlz89PV1fmP8VHx/PFAoFGzFihP4+Y/eJaTQaVlxczDZu3MgkEonBPm1jS4wxxm7dusWcnJzYgAED2G+//cbEYjF79913K3+xJjLrKRbt2rWDTCaDo6MjevXqBVdXV/zyyy+QSnW73uLi4nD9+nWMHDkSAKBWq/W3Pn36IDExETdu3DCYZ8m0Jdq3b4/g4GAcOnRIf19ycjJefvllBAYGQiqVQiaTITg4GABw7dq1UjkHDRpkzpddoZKc/z26CQBt2rRBo0aNcODAAYP7fXx80KZNG4P7IiIicP/+faOe58n3a8SIEQY/FxQU4MCBAxg4cCBUKlWpz6CgoADHjx/XZ7xw4QImT56Mffv2ISsry7gX/Y/o6GiDnxs1agQA6Nu3b6n709LSkJOTAwA4ePAggNLv2ZAhQ2Bvb1/qPWvevDmCgoL0PyuVSjRo0KDS96yEqcvPs88+a/BzREQECgoKkJycXOlztWnTBnv27MHs2bPx+++/Iz8/36iM5Tl27Bjy8/NLvVeBgYHo1q1bqfeqPOfOncOzzz4Ld3d3SCQSyGQyjBkzBhqNBjdv3qxStnr16uGrr77C9u3bER0djU6dOtXI0VGzltjGjRtx6tQpHDx4EJMmTcK1a9cwfPhw/e8fPXoEAJg5cyZkMpnBbfLkyQCAx48fG8zTx8en1PP4+PggNTUVAKDVatGzZ0/89NNPmDVrFg4cOICTJ0/q/xDLWkh8fX3N84KNUJKzrOf08/PT/76Eu7t7qekUCkWlC3tqaiqkUmmpxz/5/qWmpkKtVmP58uWlPoM+ffoA+PczeOutt7BkyRIcP34cvXv3hru7O5555hmcPn26klet4+bmZvCzXC6v8P6CggKD1+Lp6WkwnUgkMvjsS1T1PQOqtvw8+XwKhaLcaZ/0+eef480338T27dsRGRkJNzc3DBgwoMJTkSpi6vJVlvj4eHTq1AkPHz7EsmXL8Oeff+LUqVP44osvABj3usrTt29feHt7o6CgADNmzIBEIqnyvMpj1qOTjRo10h+djIyMhEajwddff40ffvgBgwcPhoeHBwDdH8dzzz1X5jzCwsIMfk5KSio1TVJSEurVqwcAuHz5Mi5cuID169dj7Nix+mni4uLKzVmb53GVLPCJiYmljlomJCTo3xNzPI9arUZqaqrBH9mT75+rqyskEglGjx6NKVOmlDmvOnXqAACkUilmzJiBGTNmICMjA7/99hvefvttREVF4cGDB5Ue1a3ua0lJSTEoMsYYkpKS0Lp1a7M9V1WWn+qwt7fH/PnzMX/+fDx69Ei/VtavXz9cv37d5Pn9d/l6krHL1/bt25Gbm4uffvpJvwYKoMzzIJVKJQoLC0vd//jx4zKf6+WXX0Z2djbCw8Mxbdo0dOrUCa6urpVmMkWNnrH/0UcfwdXVFXPnzoVWq0VYWBjq16+PCxcuoFWrVmXeHB0dDeaxefNmg5+PHj2K+/fvo2vXrgD+LaSSfw1LrF692qSspvxrasq03bp1AwBs2rTJ4P5Tp07h2rVreOaZZ0zKWZ7IyEgApd+vLVu2GPysUqkQGRmJc+fOISIioszPoKw1GxcXFwwePBhTpkxBWlpajZ40WvKePPme/fjjj8jNza3Se1beZ2au5aes56ts+fD29sa4ceMwfPhw3LhxA3l5eRXODyid/+mnn4adnV2p9+rvv//GwYMHDd4rU94Dxhi++uqrUjlCQkJw8eJFg/tu3rxZajcQAHz99dfYtGkTVqxYgR07diAjI6PMU62qy6xrYk9ydXXFW2+9hVmzZmHLli0YNWoUVq9ejd69eyMqKgrjxo2Dv78/0tLScO3aNZw9exbbtm0zmMfp06cxceJEDBkyBA8ePMA777wDf39//eZnw4YNUbduXcyePRuMMbi5uWHnzp3Yv3+/SVmbNm0KAFi8eDF69+4NiUSCiIgI/abOf9WtWxd2dnbYvHkzGjVqBAcHB/j5+cHPz6/UtGFhYXjppZewfPlyiMVi9O7dG/fu3cOcOXMQGBiI1157zaSc5enZsyc6d+6MWbNmITc3F61atcJff/2Fb7/9ttS0y5YtQ8eOHdGpUye88sorCAkJQXZ2NuLi4rBz5079Pql+/frpz/3z9PTE/fv3sXTpUgQHB6N+/fpmyV2WHj16ICoqCm+++SaysrLQoUMHXLx4ETExMWjRogVGjx5t8jybNGkCAFizZg0cHR2hVCpRp04dsy0/T2ratCl+//137Ny5E76+vnB0dERYWBjatm2L6OhoREREwNXVFdeuXcO3336Lp59+usI12/Lyu7u7Y86cOXj77bcxZswYDB8+HKmpqZg/fz6USiViYmIMMgGll/EePXpALpdj+PDhmDVrFgoKCrBy5Uqkp6eXyjF69GiMGjUKkydPxqBBg3D//n189NFHpTb9L126hGnTpmHs2LH64lq7di0GDx6MpUuXYvr06dV6fw2Y4+hAeadYMKY7UhQUFMTq16/P1Go1Y4yxCxcusOeff555eXkxmUzGfHx8WLdu3diqVatKzTM2NpaNHj2aubi46I/C3Lp1y+A5rl69ynr06MEcHR2Zq6srGzJkCIuPjy91VK7k6NKT5/8wxlhhYSGbOHEi8/T0ZCKRqNzzxEp89913rGHDhkwmkxl9nliDBg2YTCZjHh4ebNSoUeWeJ/aksWPHsuDg4FL3PykjI4NNmDCBubi4MJVKxXr06MGuX79e5nlid+/eZRMmTGD+/v5MJpMxT09P1r59e4Ojvp988glr37498/DwYHK5nAUFBbEXXniB3bt3r8IcJUcnt23bZnB/ectJWZ9Lfn4+e/PNN1lwcDCTyWTM19eXvfLKK+WeJ/akso6WLV26lNWpU4dJJBKDo8vVXX5KXlfJ8sIYY+fPn2cdOnRgKpXK4Dyx2bNns1atWunPkQwNDWWvvfYae/z4cQXvaMX5GWPs66+/ZhEREUwulzNnZ2fWv39//WkdJSpaxnfu3MmaNWvGlEol8/f3Z2+88Yb+iPd/j4hqtVr20UcfsdDQUKZUKlmrVq3YwYMHDd7vnJwc1rBhQ9a4cWOWm5trkGHKlClMJpOVOgJfHSLGLHPItvXr12P8+PE4deqUfj8bIYQ8iftVLAghpDqoxAghgmaxm5OEEGIMWhMjhAgalRghRNCoxAghgkYlRggRNCoxQoigUYkRQgSNSowQImhUYoQQQaMSI4QIGpUYIUTQqMQIIYJGJUYIETQqMUKIoNXo5amJDdGogaJsoCgXKMwBmAYQSQCxFBBL/rlJAbEMsHMBJDLeiYmVoBIjFctNBTLuA1kPgcyHQNbf//z3IZDzSFdYRTmAusC0+SqcADtXQOX+783BC3AJAlxDANc6gGswlR2pFF1PjOgUFwAp14BHV4BHV4HkK7r/z03hl0ks1RWae33Apwng9xTg/xTgWHosUmK7qMRsVW4qcP+vf2+Pruo2AYXA0U9XZn4tgIBWQGA7QKbknYpwQiVmKwqygLjfgHt/Avf+Ah7fBGAlH73UDgh+GqjbTXfzDuediNQiKjFrlpUI3PgVuP4rcO8IoCninah2OPoCoZFAwz5A/Z6AVFH5Y4hgUYlZm/R7wOWfgOu7gIdnYTVrW1WlcNaVWZNBumKT0LEsa0MlZg0Kc4ArPwMXvgPuH4XNF1d57NyAxs8CEcN0m5/EKlCJCdnDM8CZ9bo1r6Ic3mmExbsJ0GoCEDEUUDjwTkOqgUpMaLQa4OovwNHlQMJZ3mmET+EENBsGtJ4IeIbxTkOqgEpMKIrygPObgWMrdPu9iPmFRgKd3wBCOvBOQkxAJWbp8tKAE6uAk18B+Wm809iG4I5Al1lAaBfeSYgRqMQsVVEucOwL3WZjYRbvNLYp6Gndmlm9Z3gnIRWgErM0GjVwZh3wx8e67yYS/gLbAb0+APxb8k5CykAlZikY050mcXABkHabdxpSikh3AOCZGMDJl3cY8h9UYpYg+Rqw6zUg/hjvJKQyMnug42tA+6n0fU0LQSXGU3E+cHgxcHQFoC3mnYaYwjkI6P0h0LAv7yQ2j0qMl1v7gV9f112riwhXk0FA748Be3feSWwWlVhty00Fdr+u2/9FrIO9J9BnCRA+gHcSm0QlVpviDgDbJwM5SbyTkJrQuD/Q5xPAwZN3EptCJVYb1IXAb/OB41+Cvpxt5VTuQP8vgbBevJPYDCqxmpZ8HfhxIvDoEu8kpDa1mwJ0nwdI5byTWD0qsZp0diOwexagzuedhPDg9xTw/Abd4CekxlCJ1QSNGtg7Gzj1Fe8khDc7N2DQV0C97ryTWC0qMXPLTQW2jdVdy54QABCJgW5zgE4zeCexSlRi5pR0Cfi/EUBGPO8kxBI9NQbo+xldItvMqMTM5eoO4OdJQHEe7yTEkoV2BZ7fCCideSexGlRi5nD6G93Z90zLOwkRAs9GwMjvaYe/mVCJVdcfS4CD7/NOQYTGwRsY8T3g15x3EsGjEqsqxoDYd3WXiyakKpTOwKifgQC6Tll1UIlVhVYD7Jiqu+Y9IdWhcAJG/gAEteWdRLCoxEyl1QA/vkBf4CbmI3fQbVrSACVVIuYdQFAYA355lQqMmFdRDrB5MHDnMO8kgkQlZordM4ELW3inINaoOA/YMhS4d4R3EsGhEjNW7Bzg1Ne8UxBrps4HvhsBPLrCO4mgUIkZ4/fFwNHPeacgtqAwE9g0iL71YQIqscqcWQ/8/gHvFMSWZCcC3z6nGziZVIpKrCK3D+rOxCektqXeAjYPAYroa2yVoRIrx/3kNGi3Twa0at5RiK16eFp3QU06C6pCVGJlyMgrwpgNFzAFb0Ht6M87DrFlN37VjQZPykUnuz5BrdFi7LqT+CsuFQDQwD4fP7l9AYeUs5yTEZslEgPDtwINevJOYpFoTewJi/Zc1xcYANzMtUPbxNfwIIAGSSWcMC3w00Qg7Q7vJBaJSuw/Dlx7hLVH7pa6P1ctQae4kTgSOAkMIg7JiM0ryAT+bxRQlMs7icWhEvtHclYB3vjhYoXTjLrVBWt95oJJ7WopFSH/kXwF2Pk/3iksDpUYAK2WYfrW80jLLap02gX3wvC6/SJo7H1qIRkhT7i0Dbi4jXcKi0IlBmDl4ds4eju18gn/8dMjLwwoeh/5Hk1qMBUh5dj9OpD5kHcKi2HzJXYuPh2f7b9p8uMuZduj/aNZSPLvUQOpCKlAQSaw/RU6f+wfNl1i+UUa/O//zkOtrdrCkF4sxdN3xuF00AQzJyOkEncPA8dX8k5hEWy6xJb+dhPxadX7WgdjIgy+2R2b/N4BkyjMlIwQIxyYDyRf552CO5stsWuJWWWeTlFV794JxztOH0Cr8jDbPAmpkLpAd5l0G9+stMkS02oZ3v75UpU3I8uzJdEXgzULUegWZtb5ElKuv08C5zbxTsGVTZbY5hP3cS4+o0bmfTbTEZ1S38Zjv641Mn9CSvktxqYv22NzJZacVYCP9t2o2ecolKHt3Ym4FDiyRp+HEABAXipw4D3eKbixuRJ7b9dVZBfU/OV1NEyMfrf64if/N8DEshp/PmLjzm4AHp7hnYILmyqx8w8ysOtiYq0+54zbLbDAdQG0StdafV5iY5hWdwFPM+zkP3r0KCQSCXr16mXyY+fNm4fmzZtXO4MpbKrEFu/hczh67cNAjBF/gCKXulyen9iIhHPAlZ+qPZtvvvkGU6dOxZEjRxAfXzPX+i8uLjbbvGymxP64mYJjd4z/apG5HUlzRmTGu8jwac8tA7EBhxbpBniuotzcXHz//fd45ZVXEB0djfXr1+t/t379eri4uBhMv337dohEIv3v58+fjwsXLkAkEkEkEukfLxKJsGrVKvTv3x/29vZYsGABAGDnzp1o2bIllEolQkNDMX/+fKjVpu3usYkSY4zh4xremW+MhwUKtI2fjJuBQ3hHIdYq9RZwvupjo27duhVhYWEICwvDqFGjsG7dOhh73dShQ4fi9ddfR3h4OBITE5GYmIihQ4fqfx8TE4P+/fvj0qVLmDBhAvbt24dRo0Zh2rRpuHr1KlavXo3169dj4cKFJmW2iRL79VIiLj3M5B0DAFCoFaPnrYHYEzAdTCThHYdYo8MfAerKr8hSlrVr12LUqFEAgF69eiEnJwcHDhww6rF2dnZwcHCAVCqFj48PfHx8YGf372WrRowYgQkTJiA0NBTBwcFYuHAhZs+ejbFjxyI0NBQ9evTA+++/j9WrV5uU2epLTK3R4tNY07/gXdNeiWuDTzzeB1M48o5CrE1mPHBmnckPu3HjBk6ePIlhw4YBAKRSKYYOHYpvvvnGLLFatWpl8POZM2fw3nvvwcHBQX978cUXkZiYiLw8478OKDVLOgu240IC7jy2zKthrngQgmvui7BK8TFkWfd5xyHW5I8lwFNjAJnxF/Bcu3Yt1Go1/P3/HRyHMQaZTIb09HSIxeJSm5am7KC3t7c3+Fmr1WL+/Pl47rnnSk2rVCqNnq/Vl9jXf5rv+5E14UCqG6JUMdjutRJOyad4xyHWIjcZOL8ZaD3RqMnVajU2btyITz75BD17Gg5IMmjQIGzevBl169ZFdnY2cnNz9YV0/vx5g2nlcjk0GuMOLDz11FO4ceMG6tWrZ9T05bHqEjsa9xhXE7N4x6jUnTwlnn74P+yq8wPq/L2ddxxiLY59AbScAIgr32u0a9cupKen44UXXoCzs7PB7wYPHoy1a9fiwIEDUKlUePvttzF16lScPHnS4OglAISEhODu3bs4f/48AgIC4OjoCIWi7Ku7zJ07F9HR0QgMDMSQIUMgFotx8eJFXLp0SX/00hhWvU/sqz+FMzpMrkaMyLjncTBwCpjIqj8WUlvS7gDXdxk16dq1a9G9e/dSBQbo1sTOnz+Pe/fuYdOmTdi9ezeaNm2K7777DvPmzSs1ba9evRAZGQlPT09899135T5nVFQUdu3ahf3796N169Zo164dPv30UwQHB5v0Mq123Mm45Bz0+OywIK9SMjM4DlPSFkNUbJn78oiABLUHJuzhnaJGWe0/+WuP3BVkgQHAkvv1MFW5iEYfJ9UXfxRIrHgUL6GzyhJLzy3Cz+f+5h2jWnaleCA6fz5yPZvzjkKE7qRp510JjVWW2M/nHqKgWMs7RrVdz1GhXeIMPPTvzTsKEbLLPwOFObxT1BirLTFrka2WosPt0TgW+BLvKESoinOBazt4p6gxVlditx5lW8xXjMxp+K2u+MZ3DpjU+JMACdGrxvcpLZ3VldhPVrQW9qT37jbCGw6LoLH34h2FCM29I0DGA94paoRVlZhWy/CLFZcYAPyQ5I2BxQuQ7x7OOwoRFAZc/D/eIWqEVZXY8TupSMgs4B2jxl3MckDHlFl45NeddxQiJBe28k5QI6yqxKxph35lUotkaHd3PM4GjuMdhQhF6i2rPGfMakpMq2U4cD2Zd4xaxZgIz93qie/83gKTyHnHIUJwcx/vBGZnNSV2/u8MpOVW7UJwQvfWnaaY67wQWjt33lGIpbtpfV9BspoS+/1GCu8IXH2b4I9hbCEKXRvwjkIs2cOzQI51bbFYUYlZ1wdTFScznNAl7W2k+nbmHYVYLGZ1m5RWUWKPcwqt8gTXqkgqlKPd/Um4GjicdxRiqW7u5Z3ArKyixA7fSBHsFStqQrFWhD63+uEX/5lgYqu+7mUpD7O0GPVTPtw/yoZqYRaar8rBmYSyrzQ6aWc+RPOzsPR4YYXzXH++CKL5WaVuBep/F7rNF4sR+Fk23BZn4Y1Yw9N87mVo0WB5DrIKLWQhvfM7oDFtWDRLZhVL+O83bXt/WHn+d/spXAlYgNk5H0JckME7To1Lz2fo8E0uIutIsWekCl72ItxO08JFKSo17fbrxTjxUAM/x9K/K4uTArjxqoPBfUqp7rGP87SYuDMf6/vbIdRVjL5b8tA1RIK+DWQAgFd+zceH3RVwUhj3XDWuKAdIugD4t+SdxCysYk3s5F1+g+JaujV/B2Gc+AMUO4fyjlLjFv9ViEBnMdb1t0MbfwlCXMR4JlSKum6Gi/nDLC1e3V2Azc/ZQWbkX4AIgI+D2OBW4k46g7NChKFNZGjtL0FkHQmupuiuorLlUjHkEhGeayQz18s0j/gTvBOYjeBLLCmzAI+yKt4csHV/pLngmax3kendjneUGrXjhhqtfCUYsi0PXh9no8XqHHx1xvC0Gy1jGP1zPt5oL0e4l/HjfuYUAcFLsxHwaTait+ThXOK/m6j13cTIK2Y4l6hBWj7DqYcaRHhLkJbPMPdQAVb0tsAv7T84zjuB2Qi+xM4/SOcdQRDi85Vo9/cUxAUO4h2lxtxJ12Ll6SLUdxNj3ygVXm4px7S9Bdh44d8iW3ykCFIxMK2t8ScHN/QQY/0AJXYMU+G7QXZQSoEO3+TiVqquyFztRNgwwA5jtuejzVc5GNNMhqh6UsyMLcDUNnLczdCixeocNPkyBz9cNX6IsxplRWtigt8ndu5BBu8IgpGvkaD7rUFYXS8APR8uh4gJ/8KR/6VlQCs/CT54Rrfm08JXgispWqw8XYwxzeQ4k6DBshNFODvJHiKR8fun2gVI0S7g3587BEnw1OpcLD9ZjM9769bmBjaSYeB/Nhl/v6fGpWQNVvRRot7nOfhukB18HERo83UuOgdL4GXPef0hJwlIvwe4hvDNYQbCXxOLz+AdQXAmxbXFUs/3wOQOlU8sIL6OIjT2NFykG3mIEZ+pK+s/49VIzmUI+iwH0veyIH0vC/czGV6PLUTI0myjn0csEqG1nwS30so+6lmoZpj8awFWR9shLk0LtRboEiJFmIcEDdzFOPG3ceMy1jgrWRsT9JqYVstwmc4Pq5Jl8aG45vEhvlQuhjTLOq4z1SFQghuphmuXN1O1CHbWFdvoCBm6hxou8lGb8jA6QobxzY3f8c4Yw/lHGjQtZ5/a+38Uonc9KZ7yleBcogZq7b+nVhRrAI2FnGmBxPNAs6G8U1SboEvsZnI2coss5F81AYp97IYo1Tz84vUlHJLP8I5Tba+1U6D9N7n44M9CPB8uw8mHGqw5W4Q10XYAAHeVGO4qw8fIxICPgwhhHv8W0pif8+HvKMKi7rrN0vm/F6JdgAT13cXIKmT4/EQRzidp8UUfu1IZriRrsPWKGucn6UbIbughhlgkwtqzRfBxEOH6Yy1a+xl/QKFGpVznncAsBF1i1wQwurelu51nh7YJ07En5HsE/b2Td5xqae0vwc9D7fDWgUK8d7gQdVzFWBqlxMgI005viM/UQvyfAYwzChhe2pWPpBzdqRQtfMX4Y5wKbfwNy4gxhpd2FeCzKAXs5bp9bnYyEdYPUGLK7gIUqoEVfZTwd7KQvTjJ1lFigh48d8m+G1hxKI53DKuxsf6f6PRgFUQQ7CJBTDX7AaB04p2iWizkn4SqufPYeoeh4mHMrU5Y7R0DJlNVPjGxDik3eCeoNmGXWEou7whW58P7DTDNbhE0Dr68o5DakHKNd4JqE3SJxafl8Y5glXYmeyK64H3keUTwjkJqGq2J8fM4pxB5dGSyxlzLUeHpRzOR4N+LdxRSk7ISeCeoNsGW2ANaC6txmcVSdLgzGicCJ/KOQmpKdhLvBNUm2BJLyLD+odksAWMiDL3VDRt936XRx61RdiLvBNUm2BJLy7PNQUF4mXu3MWY7fgCtypN3FGJOOY94J6g2wZZYJpVYrdua6IPBmoUocGvEOwoxl+I8ID+Dd4pqEWyJZeRZyCVNbMzZTAd0ejwbKX7deEch5iLw/WLCLbF8KjFeUopkaHd3Ai4EjeYdhZhD3mPeCapFuCVGa2JcaZgY/W/2xvf+b4KJLezSy8Q0xcI+SCbYEsvMp31ilmDW7WaY77IQWjs33lFIVRUL+3QlAZcYrYlZivUJARiJhShyrc87CqkKNa2JcVFsMVeWIwBwLN0ZXdLfQZpPR95RiKloTYwQncQCOdrGv4LrgcK/WqhNoX1ihPyrWCtCr1v9sdN/hs2NPi5Y6nzeCaqFSozUiKm3W2GLzyzeMYgNEGyJCfiCtDYjrsCZdwRiDInxY3BaIsGWGLF8jlI6giwIVGKElM1BTCUmCFRifCikFjLsFSmXg4hOSBYEqYJ3gmoRbIk529FXXSyditbEhIHWxPhwohKzeCpaExMGWhPjw0VFJWbpVKJC3hGIMexceSeoFuGWGK2JWTw70JqYIKjceSeoFuGWGK2JWTwFaE1MEKjE+KAd+5ZPSSVm+cRSKjFe3B2EvTPSFsgZbU5aPHsvQCTinaJaBFtiga4q3hFIJeRaYV8dwSY4+vBOUG2CLbFgDyoxSydjtDlp8Zz9eSeoNsGWmJNSBlfauW/RZLQmZvnchX81XsGWGAAEu9vzjkAqINVQiVk8jwa8E1SboK9aF+KuwvkHGbxjAACyz+1G9rndUGfqRlSWeQTBpf1w2NVtBQB4/OtnyL18wOAxct8w+I75pNx55lz6Dam7l5a6P+j1nyCS6r4qknPlEDIObwArLoBDRE+4Rk7QT6fOfIRHW+fAd+xSiBW1v/ktoRKzfB7CXxMTdIkFWdCamMTRHa5dxkLq6gcAyLl8AMk/LYDvuGWQewYDAJR1WsKjz/T/PKjyt18kV8H/xdWG9/1TYJq8TKTtXQ73PtMhdfFB8g/zoQhqClXd1gCA1H1fwrXLOC4FBgASjbCvGGoTqMT4qmNBO/dV9doa/OzaeQxyzu1GYcINfYmJpDJIHEz8iodIVO5j1BlJEClUsG/UGQCgDIpA8eN4oG5r5F79HSKJFKqw9qa/GDMRC/yyx1bP3gtQCv/ClYIusXA/y/wAmFaDvOtHoC0ugMK/of7+gvhLeLB8JMQKeygDm8Cl8xhI7F0qnldRPv5eOR7QaiH3DoVLp1GQe9cFAEjd/MGKC1H06DYkTl4oSrwJh6bdocnPRsafm+E9/IOafJmVElGJWTYr2B8GACIm4Os8a7UMEfNjkVOo5h0FAFCUcg9J384EUxdBJLeDZ7+ZsPtn0y732h8Qye0gdfKEOvMRMv7cBGg18B27DCJp2UdZCx9eR3FGIuSewdAW5iH79A7k3zkD3/GfQ+amOzSed/MoMv7cDKYugn14V7h0HInHu5dC7lUHcu+6SPttDaBVw7nDCNg3rN3h1O7ajYaIaWr1OYkJ2k0Gei3inaLaBF1iADBszTEcv5PGOwYAgGmKoc5KgbYgF3k3/0LOhVh4j/gQco+gUtOqc9LwcOUEeD47y+hNPsa0SFz/PygDm8Ct+6QypymIv4j0Q+vgPWIREta8BI9+b0Bi74rEjTPg/9KaStf8zMVeosUV2ahaeS5SRYO/AZoM4p2i2gR9igUANAt04R1BTySRQebqB4Vvfbh2GQe5Vx1kn95R5rRSBzdInT1RnJ5g/PxFYih86qM4rezHMHUx0mJXwi1qCtTpiWBaDZRBTSFzD4DMzR+FiTeq9LqqwllGF0S0eAGteScwC+GXWIAL7wgVYGCasv+YNflZUGc9NmlHP2MMRcl3y31MxtH/gzK0JRQ+9QCmBbT/bsoxrRrQak2LXw0uUsvYxCflcPABXEpvIQiRoHfsA5azJpZ+eAPsQltC6uQJbVE+cq/9gYL4y/AaMh/aonxkHtkCVVh7SBzcdPvEDm+ExM4JqvpP6+fxeNcn/5yqMQ4AkHFkCxR+Ybod+IV5yDqzA0XJd+DW4+VSz1+Uch951/+A77jlAACpWwAgEiP7QiwkDq4oTv0bct/aO5zuIlMD1GOWK6AV7wRmI/gS83exg6ejAinZfL+np8nNwONdn0KTmwaxwh5yzxB4DZkPuzotoC0uRFHKPeRcOQhtQS4kDq5QBkXAo/+bBudwqbNSANG/K8fawlyk7lsBTW66bp5eofAZ8SEUfmEGz80YQ9q+FXDt9iLEciUAQCxTwL3PdKTtXwmmKYZbj5chdfSonTcDgDMN12bZAtvwTmA2gt+xDwDTvjuHHReM37dEat7zPkn4KGMG7xikPBNigaC2lU8nAILfJwYAXcM8eUcgT3CS0JqYxVI6W9XmpFWUWOcGnkK/rpvVcaQSs1x1uwFi6xm31SpKzMNBgab+lnn2vq1yENNVXS1WvR68E5iVVZQYAHRtQJuUlsSeBs61UCKgPpWYReoS5sU7AvkPlZiu6mqRfCMAB+v6W7GaEmsR6ELDuFkQlYjWxCxS/Z68E5id1ZSYWCxCz8bevGOQf9DAuRaq8QDeCczOakoMAAa2COAdgfyDxpy0QF7hgE8T3inMzqpKrF2oG/yclbxjEFCJWaSIIbwT1AirKjGRSIT+LYQ/BJU1UNDmpIURAU2pxAThOSoxi6BgNEiIRQnuADhb5+4Wqyux+t6OCPdz4h3D5sm1tDlpUax0UxKwwhIDgIG0NsYdDZxrQWT2QPhA3ilqjFWW2KCnAqCQWuVLEwwqMQvSbJhVjGpUHqv8S3e1l6N/cz/eMWwajf5tKURA27LHY7AWJpWYWq3Gu+++izp16sDOzg6hoaF47733oC3nsseTJk2CSCTC0qVL9felpaVh6tSpCAsLg0qlQlBQEKZNm4bMzEz9NPfu3cMLL7ygf566desiJiYGRUXGH/Ea176OKS+NmJmE9olZhtCugGdYpZMJmUlXdl28eDFWrVqFDRs2IDw8HKdPn8b48ePh7OyM//3vfwbTbt++HSdOnICfn+EaUUJCAhISErBkyRI0btwY9+/fx8svv4yEhAT88MMPAIDr169Dq9Vi9erVqFevHi5fvowXX3wRubm5WLJkiVFZG/s5oV2om8WMhGRraOBcC9G29KXMrY1JV3aNjo6Gt7c31q5dq79v0KBBUKlU+Pbbb/X3PXz4EG3btsW+ffvQt29fTJ8+HdOnTy93vtu2bcOoUaOQm5sLqbTsXv3444+xcuVK3Llzx9i4OHQ9GePXnzJ6emI+d1ynQZz/mHcM2+YWCkw9C2u/2J5Jm5MdO3bEgQMHcPPmTQDAhQsXcOTIEfTp00c/jVarxejRo/HGG28gPDzcqPlmZmbCycmp3AIrmcbNzc2UuOga5okG3g4mPYaYB43+bQHaTbb6AgNM3Jx88803kZmZiYYNG0IikUCj0WDhwoUYPny4fprFixdDKpVi2rRpRs0zNTUV77//PiZNKn/n4+3bt7F8+XJ88sknpsSFSCTCS53rYua2CyY9jpgBlRhfTgHAU2N4p6gVJpXY1q1bsWnTJmzZsgXh4eE4f/48pk+fDj8/P4wdOxZnzpzBsmXLcPbsWYiM+BcgKysLffv2RePGjRETE1PmNAkJCejVqxeGDBmCiRMnmhIXgO6csS9/j8OdlFyTH0uqxkGqhojV3hiXpAydZgBSBe8UtcKkfWKBgYGYPXs2pkyZor9vwYIF2LRpE65fv46lS5dixowZEIv/3UrVaDQQi8UIDAzEvXv39PdnZ2cjKioKKpUKu3btglJZ+ovbCQkJiIyMRNu2bbF+/XqD+Zri14uJmLLlbJUeS0wXqCzAn5jAO4btcg4Cpp0FJLZxfT2T1sTy8vJKFYlEItGfYjF69Gh0797d4PdRUVEYPXo0xo8fr78vKysLUVFRUCgU2LFjR5kF9vDhQ0RGRqJly5ZYt25dlQsMAPo09UFTf2dcephZ+cSk2lxkaoCuichP55k2U2CAiSXWr18/LFy4EEFBQQgPD8e5c+fw6aefYsIE3b+67u7ucHd3N3iMTCaDj48PwsJ056pkZ2ejZ8+eyMvLw6ZNm5CVlYWsrCwAgKenJyQSCRISEtC1a1cEBQVhyZIlSElJ0c/Px8fH5BcpEonwRlQYxnxz0uTHEtNRiXHkGgI0H8k7Ra0yqcSWL1+OOXPmYPLkyUhOToafnx8mTZqEuXPnGj2PM2fO4MSJEwCAevXqGfzu7t27CAkJQWxsLOLi4hAXF4eAAMNv3ld1rN/ODTzRvq47jt5OrdLjifGcJGreEWxX5DuAxKQ/a8GzihHAjXUuPh0DvzzKO4bVG+6bgEXpM3nHsD2B7YAX9vFOUeus8ruT5WkR5Ip+zeg7lTXNkdbEap9IDPT5iHcKLmyqxABgTnQjOCpta3W7tjnQmJO1r+U4wLcZ7xRc2FyJeTkqMatXQ94xrJq9hC5NXavs3IBuc3in4MbmSgwARrYJQosgF94xrJYDjTlZu7q9C6hM+0qeNbHJEhOLRfhgYFNIxdb/vTIeVCJaE6s1AW2AluMrn86K2WSJAUAjXydM6EjXHKsJKjGVWK2QKoEBXwLVOBHcGtj0q3+tewMEu6t4x7A6NPp3Len6FuBRn3cK7my6xOzkEiwb1gIyCW1WmpMdDZxb8wLbAe2Nu1KMtbPpEgOA5oEueK1HA94xrAqN/l3D5A7AwFU2vxlZgt4FAK90qYsO9dwrn5AYRcGoxGpUrw8BN9qfW4JKDLoviH/2fHO42ct5R7EKctonVnOajwSeGs07hUWhEvuHl5MSHw+O4B3DKtCYkzXEuynQ17SrG9sCKrH/eKaRNybSaRfVJqcSMz+lMzD0W0BmxzuJxaESe8JbfRqha5gn7xiCJqUxJ81MBAxcTfvBykEl9gSJWITlw1ugvheNklRVNPq3mXWaAYT15p3CYlGJlcFRKcPasa3hqrKdS/yak0RDIx2ZTeP+QOS7vFNYNCqxcgS5q7BqVEs6EbYKxLQmZh5BTwMD19D5YJWgd6cCbUPdsXBAU94xBEdMY05Wn0cDYNgWQFZ6EB1iiEqsEs+3DsQMOqPfJKJiKrFqcfAGRv5g05fXMQWVmBGmPVMfL3epyzuGIIhEDFDT5mSVyR2AEd8DrsG8kwgGlZiRZvduiHHtQ3jHsHjOUjVEsJmxZ8xLZg+M3Ab4NeedRFCoxEwQ068xhrUO5B3DorlINbwjCJPMHhj1AxDcnncSwaESM4FIpLsi7IDmNGJSeZxlNNKRyeQOVGDVQCVmIrFYhE+eb05FVg4XKV1f3yRyB90mJBVYlVGJVYFELMJnQ5vjBfqeZSk05qQJFE5UYGZAJVZFIpEIc6IbY3bvhhDR+bB6TrQmZhwnf2DCXiowM6ASq6aXu9TFksHNaOSkfzhJqMQq5RUOvLAf8A7nncQqUImZwaCWAfhqTCvYySS8o3BHo39XIrSrbg3M2Z93EqtBJWYmkQ298H8vtYOvs21/TcSB1sTK12y47kx8pRPvJFaFSsyMmgW6YOfUjmgXartfF7EX0bXEShFJgB7v6Qb3kNCVUcyNSszMPBwU2DyxHV7sZJtHLu1p4FxDDt7A2B1Ah//xTmK1qMRqgEQswjt9G2PFiBawl9vWfjKliDYn9YLaA5P+AEI68k5i1ajEalB0hB+2T+mAUE973lFqDY3+/Y+nXwXG7gQcfXgnsXpUYjWsvrcjdk3tiBFtg3hHqRU2P/q3gzcwfCsQtRCQSHmnsQlUYrVAJZfig4FNsW5ca3g6KnjHqVE2Pfp3k0HA5ONAWC/eSWwKlVgtimzohdjpndHfir93aZOjf6vcgSEbgMHf0IUMOaASq2Wu9nIsG9YCX41pBS8rXCuT21qJNYwGJp8AwgfwTmKzaKOdkx6NvdE21A2f/3YLG47dQ7HGOi4kaDMl5hYKRC2iTUcLIGKMWcdfj4DdTsnB+7uu4vcbKbyjVNv5kBVwSTrKO0bNkdkDnV/XHX2UWt+atBBRiVmQg9cf4f1d13D3cS7vKFV2OXAJHFLO8o5RM5oMBnq+DzhZ7z5NIaLNSQvSraE3OtbzxPqjd/HFodvIzBfeiaMSrRUOEhLUHugeAwS1452ElIHWxCxUTqEaG47ew9ojd5GWK5wTSG96vwN55l3eMczD7ymg2ztAve68k5AKUIlZuLwiNb49dh9f/XkHj3Msv8xue8yEJCeBd4zqCWgNdJ4FNOjJOwkxApWYQBQUa7D5RDzW/HEbj7Is9wjgHZcpEBek845RBSKgfk+g3StA3UjeYYgJqMQEplijxd7LSdh84j6O30njHaeUuw4TIBLS4LkKZ6DFSKD1RMCdBkgWIioxAYtLzsGWE/H48ezfFnEQQCRiuKsYyTuGcTzCgDYv6i5UqHDgnYZUA5WYFSgo1mDnhQRsPfUAZ+LTwesTdZMV46xkLJ8nN4a9JxD+HBAxFAhoyTsNMRMqMSvzKKsAey4lYvflJJy+lwZtLX66oap8HNS+UHtPaAy5g+6rQRFDgNBIQGxb13ezBVRiViw5uwD7Lidh96UknLyXBk0NN9pTztn4qXBSjT6HUZwCgPrdgXo9gLrdALmKdyJSg6jEbERmXjFO3E3F8TtpOHYnFdeTssy+2RnploZ1ea+ad6bGkMh1J6LW6wHU7wF4Nar9DIQbOmPfRjirZOgZ7oOe4borjabnFulL7cTdNMQlZ1f7S+hOsloa/dvRFwhopTufK6A14Nuc1rZsGJWYjXK1l6NXE1/0auILQHfqRlxyDq4lZuF6Urb+vynZxp+TZvaBc6V2utMe3OsBHvUB7ya60qIxG8l/UIkRAIBMIkYjXyc08jUcEzE1pxB/p+cjMbMASZn5SMwqQFLmP7esAqTlFiG3UA0tM3HMSakSsPcCHDx1Rw3tPQEHL8DBR1dcHvUB50BARCOrk4rRPjFiFvlFGhQX5cNJnQaoiwBNIcC0gEShG2tRItfdpHLdfTLbHmSYmA+VGCFE0Ojy1IQQQaMSI4QIGpUYIUTQqMQIIYJGJUYIETQqMUKIoFGJEUIEjUqMECJoVGKEEEGjEiOECBqVGCFE0KjECCGCRiVGCBE0KjFCiKBRiRFCBI1KjBAiaFRihBBBoxIjhAja/wM+CzoRKRNTkgAAAABJRU5ErkJggg==", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "outlier for tenant 14\n", + "File path : projet-bdc2324-team1/0_Input/Company_14/products_purchased_reduced.csv\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/tmp/ipykernel_436/3170175140.py:10: FutureWarning: The argument 'date_parser' is deprecated and will be removed in a future version. Please use 'date_format' instead, or read your data in as 'object' dtype and then call 'to_datetime'.\n", + " df = pd.read_csv(file_in, sep=\",\", parse_dates = datetime_col, date_parser=custom_date_parser)\n", + "/tmp/ipykernel_436/3170175140.py:10: DtypeWarning: Columns (8,9) have mixed types. Specify dtype option on import or set low_memory=False.\n", + " df = pd.read_csv(file_in, sep=\",\", parse_dates = datetime_col, date_parser=custom_date_parser)\n" + ] + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "# boucle pour identifier les outliers de chaque compagnie (et le client principal non anonyme)\n", "\n", "# nb_compagnie=['10','11','12','13','14']\n", "for company_number in nb_compagnie :\n", " print(f\"outlier for tenant {company_number}\")\n", - " outlier_detection(directory_path=company_number, coupure = 2)" + " outlier_detection(directory_path=company_number, coupure = 1)" ] }, { @@ -2048,19 +2176,157 @@ }, { "cell_type": "code", - "execution_count": null, - "id": "4918db6e-249b-412e-b646-9a6686989b79", + "execution_count": 38, + "id": "ad47a812-a744-49c5-8079-0919b49ef24c", "metadata": {}, "outputs": [], - "source": [] + "source": [ + "# on enlève les outliers des tables\n", + "\n", + "outliers_musique_dico = {10 : 19521, 11 : 36, 12 : 1706757, 13 : 8422}\n", + "\n", + "# outlier_music_list = list(outliers_musique_dico.values())\n" + ] + }, + { + "cell_type": "code", + "execution_count": 64, + "id": "9717dfd5-c39c-41eb-858d-5baf3ab71554", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "10 19521\n", + "11 36\n", + "12 1706757\n", + "13 8422\n" + ] + } + ], + "source": [ + "for tenant_number, customer_id in outliers_musique_dico.items() :\n", + "\n", + " print(tenant_number, customer_id)\n", + " \n", + " customerplus_clean_spectacle = customerplus_clean_spectacle[(customerplus_clean_spectacle['number_compagny']!= tenant_number) |\n", + " (customerplus_clean_spectacle['customer_id']!= customer_id) ]\n", + "\n", + " campaigns_information_spectacle = campaigns_information_spectacle[(campaigns_information_spectacle['number_compagny']!= tenant_number) |\n", + " (campaigns_information_spectacle['customer_id']!= customer_id) ]\n", + "\n", + " products_purchased_reduced_spectacle = products_purchased_reduced_spectacle[(products_purchased_reduced_spectacle['number_compagny']!= tenant_number) |\n", + " (products_purchased_reduced_spectacle['customer_id']!= customer_id) ]\n", + "\n", + " target_information_spectacle = target_information_spectacle[(target_information_spectacle['number_compagny']!= tenant_number) |\n", + " (target_information_spectacle['customer_id']!= customer_id) ]" + ] }, { "cell_type": "code", "execution_count": null, - "id": "e866edce-f4bc-4627-89d3-3ec7d9ef26e3", + "id": "eb7f4c95-817b-4145-9319-11d2f62b24d9", "metadata": {}, "outputs": [], - "source": [] + "source": [ + "# on vérifie que les outliers sont pas dans le train set " + ] + }, + { + "cell_type": "code", + "execution_count": 147, + "id": "b50e1de8-28fe-42bd-bd81-dde7e36b64fb", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['10_19521', '11_36', '12_1706757', '13_8422']" + ] + }, + "execution_count": 147, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "outliers_train_set_musique = [str(tenant_id) + \"_\" + str(customer_id) for tenant_id, customer_id in outliers_musique_dico.items()]\n", + "outliers_train_set_musique" + ] + }, + { + "cell_type": "code", + "execution_count": 161, + "id": "1753d45d-beac-48a4-9bc4-f84925320a89", + "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", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
customer_idnb_ticketsnb_purchasestotal_amountnb_suppliersvente_internet_maxpurchase_date_minpurchase_date_maxtime_between_purchasenb_tickets_internet...gender_labelgender_femalegender_malegender_othercountry_frnb_campaignsnb_campaigns_openedtime_to_openy_has_purchasednumber_company
\n", + "

0 rows × 41 columns

\n", + "
" + ], + "text/plain": [ + "Empty DataFrame\n", + "Columns: [customer_id, nb_tickets, nb_purchases, total_amount, nb_suppliers, vente_internet_max, purchase_date_min, purchase_date_max, time_between_purchase, nb_tickets_internet, street_id, structure_id, mcp_contact_id, fidelity, tenant_id, is_partner, deleted_at, gender, is_email_true, opt_in, last_buying_date, max_price, ticket_sum, average_price, average_purchase_delay, average_price_basket, average_ticket_basket, total_price, purchase_count, first_buying_date, country, gender_label, gender_female, gender_male, gender_other, country_fr, nb_campaigns, nb_campaigns_opened, time_to_open, y_has_purchased, number_company]\n", + "Index: []\n", + "\n", + "[0 rows x 41 columns]" + ] + }, + "execution_count": 161, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "train_set_spectacle[train_set_spectacle[\"customer_id\"].isin(outliers_train_set_musique)] # OK" + ] }, { "cell_type": "markdown", @@ -2072,7 +2338,7 @@ }, { "cell_type": "code", - "execution_count": 44, + "execution_count": 66, "id": "47f98721-53dd-4f8f-85ac-88043ee8d967", "metadata": {}, "outputs": [ @@ -2108,6 +2374,7 @@ " gender\n", " is_email_true\n", " ...\n", + " total_price\n", " purchase_count\n", " first_buying_date\n", " country\n", @@ -2116,7 +2383,6 @@ " gender_male\n", " gender_other\n", " country_fr\n", - " has_tags\n", " number_compagny\n", " \n", " \n", @@ -2134,6 +2400,7 @@ " 2\n", " True\n", " ...\n", + " 0.0\n", " 0\n", " NaN\n", " NaN\n", @@ -2142,7 +2409,6 @@ " 0\n", " 1\n", " NaN\n", - " 0\n", " 10\n", " \n", " \n", @@ -2158,6 +2424,7 @@ " 2\n", " True\n", " ...\n", + " 0.0\n", " 0\n", " NaN\n", " fr\n", @@ -2166,7 +2433,6 @@ " 0\n", " 1\n", " 1.0\n", - " 0\n", " 10\n", " \n", " \n", @@ -2182,6 +2448,7 @@ " 2\n", " False\n", " ...\n", + " NaN\n", " 14\n", " NaN\n", " fr\n", @@ -2190,7 +2457,6 @@ " 0\n", " 1\n", " 1.0\n", - " 0\n", " 10\n", " \n", " \n", @@ -2206,6 +2472,7 @@ " 0\n", " False\n", " ...\n", + " NaN\n", " 1\n", " NaN\n", " fr\n", @@ -2214,7 +2481,6 @@ " 0\n", " 0\n", " 1.0\n", - " 0\n", " 10\n", " \n", " \n", @@ -2230,6 +2496,7 @@ " 0\n", " True\n", " ...\n", + " NaN\n", " 1\n", " NaN\n", " fr\n", @@ -2238,7 +2505,6 @@ " 0\n", " 0\n", " 1.0\n", - " 0\n", " 10\n", " \n", " \n", @@ -2254,6 +2520,7 @@ " 2\n", " True\n", " ...\n", + " NaN\n", " 1\n", " NaN\n", " NaN\n", @@ -2262,7 +2529,6 @@ " 0\n", " 1\n", " NaN\n", - " 0\n", " 10\n", " \n", " \n", @@ -2278,6 +2544,7 @@ " 2\n", " False\n", " ...\n", + " NaN\n", " 8\n", " NaN\n", " fr\n", @@ -2286,7 +2553,6 @@ " 0\n", " 1\n", " 1.0\n", - " 0\n", " 10\n", " \n", " \n", @@ -2302,6 +2568,7 @@ " 2\n", " False\n", " ...\n", + " NaN\n", " 3\n", " NaN\n", " fr\n", @@ -2310,7 +2577,6 @@ " 0\n", " 1\n", " 1.0\n", - " 0\n", " 10\n", " \n", " \n", @@ -2326,6 +2592,7 @@ " 0\n", " True\n", " ...\n", + " NaN\n", " 1\n", " NaN\n", " NaN\n", @@ -2334,7 +2601,6 @@ " 0\n", " 0\n", " NaN\n", - " 0\n", " 10\n", " \n", " \n", @@ -2350,6 +2616,7 @@ " 2\n", " True\n", " ...\n", + " NaN\n", " 1\n", " NaN\n", " NaN\n", @@ -2358,12 +2625,11 @@ " 0\n", " 1\n", " NaN\n", - " 0\n", " 10\n", " \n", " \n", "\n", - "

10 rows × 29 columns

\n", + "

10 rows × 28 columns

\n", "" ], "text/plain": [ @@ -2379,46 +2645,46 @@ "8 9231 139 NaN NaN 0 875 \n", "9 9870 139 NaN NaN 0 875 \n", "\n", - " is_partner deleted_at gender is_email_true ... purchase_count \\\n", - "0 False NaN 2 True ... 0 \n", - "1 False NaN 2 True ... 0 \n", - "2 False NaN 2 False ... 14 \n", - "3 False NaN 0 False ... 1 \n", - "4 False NaN 0 True ... 1 \n", - "5 False NaN 2 True ... 1 \n", - "6 False NaN 2 False ... 8 \n", - "7 False NaN 2 False ... 3 \n", - "8 False NaN 0 True ... 1 \n", - "9 False NaN 2 True ... 1 \n", + " is_partner deleted_at gender is_email_true ... total_price \\\n", + "0 False NaN 2 True ... 0.0 \n", + "1 False NaN 2 True ... 0.0 \n", + "2 False NaN 2 False ... NaN \n", + "3 False NaN 0 False ... NaN \n", + "4 False NaN 0 True ... NaN \n", + "5 False NaN 2 True ... NaN \n", + "6 False NaN 2 False ... NaN \n", + "7 False NaN 2 False ... NaN \n", + "8 False NaN 0 True ... NaN \n", + "9 False NaN 2 True ... NaN \n", "\n", - " first_buying_date country gender_label gender_female gender_male \\\n", - "0 NaN NaN other 0 0 \n", - "1 NaN fr other 0 0 \n", - "2 NaN fr other 0 0 \n", - "3 NaN fr female 1 0 \n", - "4 NaN fr female 1 0 \n", - "5 NaN NaN other 0 0 \n", - "6 NaN fr other 0 0 \n", - "7 NaN fr other 0 0 \n", - "8 NaN NaN female 1 0 \n", - "9 NaN NaN other 0 0 \n", + " purchase_count first_buying_date country gender_label gender_female \\\n", + "0 0 NaN NaN other 0 \n", + "1 0 NaN fr other 0 \n", + "2 14 NaN fr other 0 \n", + "3 1 NaN fr female 1 \n", + "4 1 NaN fr female 1 \n", + "5 1 NaN NaN other 0 \n", + "6 8 NaN fr other 0 \n", + "7 3 NaN fr other 0 \n", + "8 1 NaN NaN female 1 \n", + "9 1 NaN NaN other 0 \n", "\n", - " gender_other country_fr has_tags number_compagny \n", - "0 1 NaN 0 10 \n", - "1 1 1.0 0 10 \n", - "2 1 1.0 0 10 \n", - "3 0 1.0 0 10 \n", - "4 0 1.0 0 10 \n", - "5 1 NaN 0 10 \n", - "6 1 1.0 0 10 \n", - "7 1 1.0 0 10 \n", - "8 0 NaN 0 10 \n", - "9 1 NaN 0 10 \n", + " gender_male gender_other country_fr number_compagny \n", + "0 0 1 NaN 10 \n", + "1 0 1 1.0 10 \n", + "2 0 1 1.0 10 \n", + "3 0 0 1.0 10 \n", + "4 0 0 1.0 10 \n", + "5 0 1 NaN 10 \n", + "6 0 1 1.0 10 \n", + "7 0 1 1.0 10 \n", + "8 0 0 NaN 10 \n", + "9 0 1 NaN 10 \n", "\n", - "[10 rows x 29 columns]" + "[10 rows x 28 columns]" ] }, - "execution_count": 44, + "execution_count": 66, "metadata": {}, "output_type": "execute_result" } @@ -2430,7 +2696,7 @@ }, { "cell_type": "code", - "execution_count": 43, + "execution_count": 67, "id": "738e063b-f84e-4a00-b35d-6d1d657e3c09", "metadata": {}, "outputs": [ @@ -2438,7 +2704,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "Nombre de lignes de la table : 1523688\n" + "Nombre de lignes de la table : 1523684\n" ] }, { @@ -2446,12 +2712,12 @@ "text/plain": [ "customer_id 0\n", "street_id 0\n", - "structure_id 1460624\n", - "mcp_contact_id 729167\n", + "structure_id 1460622\n", + "mcp_contact_id 729163\n", "fidelity 0\n", "tenant_id 0\n", "is_partner 0\n", - "deleted_at 1523688\n", + "deleted_at 1523684\n", "gender 0\n", "is_email_true 0\n", "opt_in 0\n", @@ -2465,18 +2731,17 @@ "total_price 95551\n", "purchase_count 0\n", "first_buying_date 762879\n", - "country 429486\n", + "country 429485\n", "gender_label 0\n", "gender_female 0\n", "gender_male 0\n", "gender_other 0\n", - "country_fr 429486\n", - "has_tags 0\n", + "country_fr 429485\n", "number_compagny 0\n", "dtype: int64" ] }, - "execution_count": 43, + "execution_count": 67, "metadata": {}, "output_type": "execute_result" } @@ -2488,120 +2753,18 @@ ] }, { - "cell_type": "code", - "execution_count": 148, - "id": "296e51c5-30ae-4ade-ba3d-4ba4981a8758", - "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", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
number_compagnycustomer_id
01045264
11135313
212216105
313388731
414101642
\n", - "
" - ], - "text/plain": [ - " number_compagny customer_id\n", - "0 10 45264\n", - "1 11 35313\n", - "2 12 216105\n", - "3 13 388731\n", - "4 14 101642" - ] - }, - "execution_count": 148, - "metadata": {}, - "output_type": "execute_result" - } - ], + "cell_type": "markdown", + "id": "b44054b3-d850-4bc9-bc73-feb9979908bc", + "metadata": { + "jp-MarkdownHeadingCollapsed": true + }, "source": [ - "# nombre de clients de la compagnie (pas les clients visés par une campagne mais ceux ayant acheté)\n", - "# on rq le nbre de clients est très variable : de 35k à 389k\n", - "company_nb_clients = customerplus_clean_spectacle[customerplus_clean_spectacle[\"purchase_count\"]>0].groupby(\"number_compagny\")[\"customer_id\"].count().reset_index()\n", - "company_nb_clients" + "#### Nombre de clients de la compagnie" ] }, { "cell_type": "code", - "execution_count": 151, - "id": "5845aedf-78ca-4d3d-ad61-3561d4fc1886", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Création du barplot\n", - "plt.bar(company_nb_clients[\"number_compagny\"], company_nb_clients[\"customer_id\"]/1000)\n", - "\n", - "# Ajout de titres et d'étiquettes\n", - "plt.xlabel('Company')\n", - "plt.ylabel(\"Nombre de clients (milliers)\")\n", - "plt.title(\"Nombre de clients de chaque compagnie de spectacle\")\n", - "\n", - "# Affichage du barplot\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 37, + "execution_count": 70, "id": "884a33d0-c275-4ab4-ab1f-8b53e563fb95", "metadata": {}, "outputs": [ @@ -2610,10 +2773,10 @@ "output_type": "stream", "text": [ " number_compagny already_purchased customer_id\n", - "0 10 True 45264\n", - "1 11 True 35313\n", - "2 12 True 216105\n", - "3 13 True 388731\n", + "0 10 True 45263\n", + "1 11 True 35312\n", + "2 12 True 216104\n", + "3 13 True 388730\n", "4 14 True 101642\n", " number_compagny already_purchased customer_id\n", "0 10 False 53530\n", @@ -2639,13 +2802,13 @@ }, { "cell_type": "code", - "execution_count": 38, + "execution_count": 72, "id": "41c9fb5a-708b-4f85-9918-00337151f155", "metadata": {}, "outputs": [ { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -2656,13 +2819,13 @@ ], "source": [ "# Création du barplot\n", - "plt.bar(nb_customers_purchasing_spectacle[\"number_compagny\"], nb_customers_purchasing_spectacle[\"customer_id\"]/1000, label = \"has purchased\")\n", + "plt.bar(nb_customers_purchasing_spectacle[\"number_compagny\"], nb_customers_purchasing_spectacle[\"customer_id\"]/1000, label = \"clients ayant acheté\")\n", "plt.bar(nb_customers_no_purchase_spectacle[\"number_compagny\"], nb_customers_no_purchase_spectacle[\"customer_id\"]/1000, \n", - " bottom = nb_customers_purchasing_spectacle[\"customer_id\"]/1000, label = \"has not purchased\")\n", + " bottom = nb_customers_purchasing_spectacle[\"customer_id\"]/1000, label = \"clients ciblés par un mail\")\n", "\n", "\n", "# Ajout de titres et d'étiquettes\n", - "plt.xlabel('Company')\n", + "plt.xlabel('Compagnie')\n", "plt.ylabel(\"Nombre de clients (en milliers)\")\n", "plt.title(\"Nombre de clients identifiés pour les compagnies de spectacle\")\n", "plt.legend()\n", @@ -2671,6 +2834,101 @@ "plt.show()\n" ] }, + { + "cell_type": "code", + "execution_count": 104, + "id": "983190f7-8bb1-4416-95f9-1dcf66a2e72e", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 104, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Création du barplot\n", + "plt.bar(nb_customers_purchasing_spectacle[\"number_compagny\"], nb_customers_purchasing_spectacle[\"customer_id\"]/1000, label = \"clients ayant acheté\")\n", + "plt.bar(nb_customers_no_purchase_spectacle[\"number_compagny\"], nb_customers_no_purchase_spectacle[\"customer_id\"]/1000, \n", + " bottom = nb_customers_purchasing_spectacle[\"customer_id\"]/1000, label = \"clients ciblés par un mail\")\n", + "\n", + "\n", + "# Ajout de titres et d'étiquettes\n", + "plt.xlabel('Compagnie')\n", + "plt.ylabel(\"Nombre de clients (en milliers)\")\n", + "plt.title(\"Nombre de clients identifiés pour les compagnies de spectacle\")\n", + "plt.legend()\n", + "\n", + "# Affichage du barplot\n", + "# plt.savefig(\"nbre_clients_musique.png\")" + ] + }, + { + "cell_type": "code", + "execution_count": 112, + "id": "a41dfb3e-12b6-4a7b-9282-698d9476b17b", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# syntaxe à retenir pr exporter des images !!\n", + "\n", + "\n", + "FILE_PATH = \"projet-bdc2324-team1/graphics/music/\"\n", + "FILE_NAME = \"number_customers_music.png\"\n", + "FILE_PATH_OUT_S3 = FILE_PATH + FILE_NAME\n", + "\n", + "# Création du barplot\n", + "plt.bar(nb_customers_purchasing_spectacle[\"number_compagny\"], nb_customers_purchasing_spectacle[\"customer_id\"]/1000, label = \"clients ayant acheté\")\n", + "plt.bar(nb_customers_no_purchase_spectacle[\"number_compagny\"], nb_customers_no_purchase_spectacle[\"customer_id\"]/1000, \n", + " bottom = nb_customers_purchasing_spectacle[\"customer_id\"]/1000, label = \"clients ciblés par un mail\")\n", + "\n", + "\n", + "# Ajout de titres et d'étiquettes\n", + "plt.xlabel('Compagnie')\n", + "plt.ylabel(\"Nombre de clients (en milliers)\")\n", + "plt.title(\"Nombre de clients identifiés pour les compagnies de spectacle\")\n", + "plt.legend()\n", + "\n", + "with fs.open(FILE_PATH_OUT_S3, 'wb') as file_out:\n", + " plt.savefig(file_out)" + ] + }, + { + "cell_type": "markdown", + "id": "85b6c7a9-d970-4071-8633-45bc1f50e157", + "metadata": { + "jp-MarkdownHeadingCollapsed": true + }, + "source": [ + "#### Prix maximal payé par un client (utile ??)" + ] + }, { "cell_type": "code", "execution_count": 152, @@ -3692,9 +3950,17 @@ "(customerplus_clean_spectacle[\"purchase_count\"]==0)]" ] }, + { + "cell_type": "markdown", + "id": "703d9986-4497-404f-881a-45ca44b25beb", + "metadata": {}, + "source": [ + "#### différence de consentement aux campagnes de mails (opt in)" + ] + }, { "cell_type": "code", - "execution_count": 89, + "execution_count": 113, "id": "e940bfcf-29cc-4d4c-ae5e-e2a8cecf28af", "metadata": {}, "outputs": [ @@ -3703,11 +3969,11 @@ "text/plain": [ "number_compagny already_purchased\n", "10 False 0.234840\n", - " True 0.236236\n", + " True 0.236242\n", "11 False 0.141746\n", " True 0.002804\n", "12 False 0.485950\n", - " True 0.244779\n", + " True 0.244780\n", "13 False 0.084057\n", " True 0.177213\n", "14 False 0.885553\n", @@ -3715,7 +3981,7 @@ "Name: opt_in, dtype: float64" ] }, - "execution_count": 89, + "execution_count": 113, "metadata": {}, "output_type": "execute_result" } @@ -3733,7 +3999,7 @@ }, { "cell_type": "code", - "execution_count": 94, + "execution_count": 168, "id": "a5e79beb-9ba0-4c89-b084-e27ff0d65dcc", "metadata": {}, "outputs": [ @@ -3774,7 +4040,7 @@ " 1\n", " 10\n", " True\n", - " 0.236236\n", + " 0.236242\n", " \n", " \n", " 2\n", @@ -3798,7 +4064,7 @@ " 5\n", " 12\n", " True\n", - " 0.244779\n", + " 0.244780\n", " \n", " \n", " 6\n", @@ -3831,18 +4097,18 @@ "text/plain": [ " number_compagny already_purchased opt_in\n", "0 10 False 0.234840\n", - "1 10 True 0.236236\n", + "1 10 True 0.236242\n", "2 11 False 0.141746\n", "3 11 True 0.002804\n", "4 12 False 0.485950\n", - "5 12 True 0.244779\n", + "5 12 True 0.244780\n", "6 13 False 0.084057\n", "7 13 True 0.177213\n", "8 14 False 0.885553\n", "9 14 True 0.308859" ] }, - "execution_count": 94, + "execution_count": 168, "metadata": {}, "output_type": "execute_result" } @@ -3854,13 +4120,13 @@ }, { "cell_type": "code", - "execution_count": 127, + "execution_count": 169, "id": "5be56c41-7697-481a-84ea-f77a2041484b", "metadata": {}, "outputs": [ { "data": { - "image/png": "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", + "image/png": "iVBORw0KGgoAAAANSUhEUgAAA0oAAAIhCAYAAABwnkrAAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8g+/7EAAAACXBIWXMAAA9hAAAPYQGoP6dpAABjoklEQVR4nO3dZ3hU1f728XtID2kQTENIgoQmXRQN0ptSFBBpUoKiIHCQdigiVboKHEUpKoSjUvSIDRGFUASp0gVERUJACCBgKIEAyX5e+M88zk4CMzDJhPD9XNdcOmu3395ZKTdr7zUWwzAMAQAAAACsCrm6AAAAAADIbwhKAAAAAGBCUAIAAAAAE4ISAAAAAJgQlAAAAADAhKAEAAAAACYEJQAAAAAwISgBAAAAgAlBCQAAAABMCEpALoiPj5fFYrG+3N3dde+996p79+76448/nHqsiRMn6vPPP7+tfSQmJspisSg+Pt4pNd1t3nnnnQJ57ZzRt+5kY8aMkcVisWmrV6+e6tWrZ9NmsVg0ZsyYvCssl7jqPDJ/XiYmJub5seGYgtLXAXsRlIBcNH/+fG3atEkrV67U888/r0WLFql27dq6dOmS045xt/8xmx8QlAqmHj16aNOmTTddb9OmTerRo0ceVAS4Fn0ddxt3VxcAFGQVK1ZUjRo1JEn169dXenq6Xn31VX3++ed65plnbmvfly9flo+PjzPKBJCNe++9V/fee+9N13v44YfzoBrA9ejruNswogTkocxfMkeOHJEkjR07VjVr1lTRokUVEBCg6tWr6/3335dhGDbbRUVFqUWLFlq6dKmqVasmb29vjR07VhaLRZcuXdKCBQust/mZbwsyO378uNq1ayd/f38FBgaqffv2Sk5OznbdH3/8UU888YSKFi0qb29vVatWTR9//LFd55qWlqZx48apfPny8vb2VnBwsOrXr6+NGzda17ly5YqGDx+u6OhoeXp6qnjx4urTp4/++uuvbM9/xYoVql69unx8fFSuXDnNmzfPZr3U1FQNHjxY0dHR8vb2VtGiRVWjRg0tWrTI4fPKvB1ozZo1evHFF1WsWDEFBwerTZs2On78uE1t+/bt07p166xfg6ioKOvy8+fPW2vKPMf+/ftnGVW0WCzq27ev5s+fr7Jly8rHx0c1atTQ5s2bZRiGXnvtNUVHR8vPz08NGjTQb7/9luWar1q1Sg0bNlRAQIB8fX1Vq1YtJSQk2KyTeTvZvn371LFjRwUGBio0NFTPPvusUlJSbOpxtG/Z259zun0nKipKcXFxNzxG5m2ir732mqZMmaKoqCj5+PioXr16+uWXX3Tt2jUNGzZMERERCgwMVOvWrXXq1CmbfSxZskRNmjRReHi4fHx8VL58eQ0bNizL1yS7W++yYz4fe/uO9Pf3yaBBgxQWFiZfX1/VqVNH27dvt+taSNKsWbNUpUoV+fn5yd/fX+XKldPLL79ss05ycrJ69uype++9V56enoqOjtbYsWN1/fr1m+7/p59+0pNPPqkiRYrI29tbVatW1YIFC2zWWbt2rSwWixYtWqQRI0YoIiJCAQEBatSokQ4ePHjTY+TEnv58+vRpvfDCCypRooS8vLx0zz33qFatWlq1atVN9//zzz+rY8eOCg0NlZeXl0qWLKmuXbsqLS3tls5/4cKFGjp0qMLDw+Xn56eWLVvq5MmTunDhgl544QUVK1ZMxYoVU/fu3XXx4kWbfWR+/8+ZM0dlypSRl5eXKlSooMWLF2c53969e6tChQry8/NTSEiIGjRooPXr12c5v2PHjqlt27by9/dXUFCQnnnmGW3bti3LbdZxcXHy8/PTb7/9pmbNmsnPz08lSpTQoEGDbK5FZp3m7117+5c9fRXIbxhRAvJQ5h+399xzj6S//+jr2bOnSpYsKUnavHmz/vWvf+mPP/7QqFGjbLbdsWOHDhw4oFdeeUXR0dEqXLiwWrVqpQYNGqh+/foaOXKkJCkgICDH41++fFmNGjXS8ePHNWnSJJUpU0Zff/212rdvn2XdNWvW6LHHHlPNmjU1e/ZsBQYGavHixWrfvr1SU1Nv+Efc9evX9fjjj2v9+vXq37+/GjRooOvXr2vz5s1KSkpSbGysDMNQq1atlJCQoOHDh6t27dras2ePRo8erU2bNmnTpk3y8vKy7nP37t0aNGiQhg0bptDQUL333nt67rnnVLp0adWpU0eSNHDgQH3wwQcaP368qlWrpkuXLumnn37SmTNnbvm8evTooebNm2vhwoU6evSo/v3vf6tz585avXq1JOmzzz5T27ZtFRgYqHfeeUeSrHWnpqaqbt26OnbsmF5++WVVrlxZ+/bt06hRo7R3716tWrXK5g/xZcuWaefOnZo8ebIsFouGDh2q5s2bq1u3bvr99981c+ZMpaSkaODAgXrqqae0a9cu6/YffvihunbtqieffFILFiyQh4eH5syZo6ZNm+rbb79Vw4YNbc7rqaeeUvv27fXcc89p7969Gj58uCRZw+emTZsc6luSY/35dr399tuqXLmy3n77bf31118aNGiQWrZsqZo1a8rDw0Pz5s3TkSNHNHjwYPXo0UNffvmlddtff/1VzZo1U//+/VW4cGH9/PPPmjJlirZu3Wr9ujrDzfqOJHXv3l1LlizRkCFD1KBBA+3fv1+tW7fW+fPnb7r/xYsXq3fv3vrXv/6l119/XYUKFdJvv/2m/fv3W9dJTk7WQw89pEKFCmnUqFG67777tGnTJo0fP16JiYmaP39+jvs/ePCgYmNjFRISojfffFPBwcH68MMPFRcXp5MnT2rIkCE267/88suqVauW3nvvPZ0/f15Dhw5Vy5YtdeDAAbm5uTl07eztz126dNGOHTs0YcIElSlTRn/99Zd27Nhh8z2fnd27d+vRRx9VsWLFNG7cOMXExOjEiRP68ssvdfXqVXl5ed3S+devX1/x8fFKTEzU4MGD1bFjR7m7u6tKlSpatGiRdu7cqZdffln+/v568803bbb/8ssvtWbNGo0bN06FCxfWO++8Y92+bdu2kqSzZ89KkkaPHq2wsDBdvHhRn332merVq6eEhATrP2ZcunRJ9evX19mzZzVlyhSVLl1aK1asyPZnvSRdu3ZNTzzxhJ577jkNGjRI33//vV599VUFBgbe8HvX3v5lT18F8iUDgNPNnz/fkGRs3rzZuHbtmnHhwgVj2bJlxj333GP4+/sbycnJWbZJT083rl27ZowbN84IDg42MjIyrMsiIyMNNzc34+DBg1m2K1y4sNGtWze76po1a5Yhyfjiiy9s2p9//nlDkjF//nxrW7ly5Yxq1aoZ165ds1m3RYsWRnh4uJGenp7jcf773/8akox33303x3VWrFhhSDKmTp1q075kyRJDkjF37lxrW2RkpOHt7W0cOXLE2nb58mWjaNGiRs+ePa1tFStWNFq1apXjMR05r8yvYe/evW3Wmzp1qiHJOHHihLXt/vvvN+rWrZvlWJMmTTIKFSpkbNu2zab9f//7nyHJWL58ubVNkhEWFmZcvHjR2vb5558bkoyqVava9IcZM2YYkow9e/YYhmEYly5dMooWLWq0bNnS5jjp6elGlSpVjIceesjaNnr06Gyve+/evQ1vb2+b4zjSt8xu1J8lGaNHj86yTWRk5E2Pd/jwYUOSUaVKFZs+mHlNnnjiCZv1+/fvb0gyUlJSst1fRkaGce3aNWPdunWGJGP37t3WZZnX6p/q1q2b5WttPh97+86+ffsMScbQoUNt1lu0aJEh6abXom/fvkZQUNAN1+nZs6fh5+dn871jGIbx+uuvG5KMffv25XgeHTp0MLy8vIykpCSbbR9//HHD19fX+OuvvwzDMIw1a9YYkoxmzZrZrPfxxx8bkoxNmzbdsMbM63X48GHDMBzrz35+fkb//v1vuP/sNGjQwAgKCjJOnTqV4zqOnr+53sy+169fP5v2Vq1aGUWLFrVpk2T4+PjY/G64fv26Ua5cOaN06dI51nj9+nXj2rVrRsOGDY3WrVtb299++21DkvHNN9/YrN+zZ88sP+u7detmSDI+/vhjm3WbNWtmlC1bNkud/+wj9vYve/oqkB9x6x2Qix5++GF5eHjI399fLVq0UFhYmL755huFhoZKklavXq1GjRopMDBQbm5u8vDw0KhRo3TmzJkstwtVrlxZZcqUua161qxZI39/fz3xxBM27Z06dbJ5/9tvv+nnn3+2Pkd1/fp166tZs2Y6ceLEDW+p+eabb+Tt7a1nn302x3Uy/1XdPILz9NNPq3Dhwllusalatap1pEKSvL29VaZMGettjJL00EMP6ZtvvtGwYcO0du1aXb58+bbPy3ytKleuLEk2x83JsmXLVLFiRVWtWtXmWE2bNpXFYtHatWtt1q9fv74KFy5sfV++fHlJ0uOPP24z8pTZnlnDxo0bdfbsWXXr1s3mOBkZGXrssce0bdu2LLeVZXdeV65cydLvHOFIf75dzZo1U6FC//9XWOY1ad68uc16me1JSUnWtt9//12dOnVSWFiYtc66detKkg4cOOC0Gm/Wd9atWydJateunc16bdu2lbv7zW/4eOihh/TXX3+pY8eO+uKLL/Tnn39mWWfZsmWqX7++IiIibPrG448/blNDdlavXq2GDRuqRIkSNu1xcXFKTU3NMtHF7Xyv/JMj/fmhhx5SfHy8xo8fr82bN+vatWs33X9qaqrWrVundu3aWUf3s+Po+bdo0cLm/Y365NmzZ7PcftewYUPr7wZJcnNzU/v27fXbb7/p2LFj1vbZs2erevXq8vb2lru7uzw8PJSQkGDTd9etWyd/f3899thjNsfo2LFjtudqsVjUsmVLm7bKlSvf9Gtnb/+yp68C+RFBCchF//3vf7Vt2zbt3LlTx48f1549e1SrVi1J0tatW9WkSRNJ0rvvvqsffvhB27Zt04gRIyQpyx/54eHht13PmTNnbH4RZwoLC7N5f/LkSUnS4MGD5eHhYfPq3bu3JN3wF93p06cVERFh84dsdrW4u7tn+UPFYrEoLCwsy60zwcHBWfbh5eVlc53efPNNDR06VJ9//rnq16+vokWLqlWrVvr1119v+bzMx828rc789cnOyZMntWfPnizH8vf3l2EYWY5VtGhRm/eenp43bL9y5YrNebVt2zbLsaZMmSLDMKy37DjjvLLjaH++Xbd6rS5evKjatWtry5YtGj9+vNauXatt27Zp6dKlTq/zZtc4s4+bvyfd3d2z7e9mXbp0sd5i+NRTTykkJEQ1a9bUypUrreucPHlSX331VZZ+cf/990u68ffxmTNnsv25ExERYVO/vedrL0f685IlS9StWze99957euSRR1S0aFF17do1x+cuJencuXNKT0+/6UQdjp7/rfbJTOafw/9syzzWtGnT9OKLL6pmzZr69NNPtXnzZm3btk2PPfaYzXXO6Wd9dm2S5OvrK29vb5s2Ly+vLDWa2du/7OmrQH7EM0pALipfvrx11juzxYsXy8PDQ8uWLbP5BZXTdMz2PFR+M8HBwdq6dWuWdvMfFcWKFZMkDR8+XG3atMl2X2XLls3xOPfcc482bNigjIyMHMNScHCwrl+/rtOnT9uEJcMwlJycrAcffPCm52NWuHBhjR07VmPHjtXJkyeto0stW7bUzz//fNvn5ahixYrJx8cny6QT/1zurONI0ltvvZXjrFQ5/YHkLI70Zy8vrywPiUtZ//DMDatXr9bx48e1du1a6yiSpCwTiOSFzGBx8uRJFS9e3Np+/fp1u69F9+7d1b17d126dEnff/+9Ro8erRYtWuiXX35RZGSkihUrpsqVK2vChAnZbp/5R39O9Z04cSJLe+aEFM7qv2aO9OdixYppxowZmjFjhpKSkvTll19q2LBhOnXqlFasWJHttkWLFpWbm5vNKE128vr8swt3mW2ZfeXDDz9UvXr1NGvWLJv1Lly4YPPe3p/1t8uR/nWzvgrkRwQlwEUyP4j2nw85X758WR988IFD+zGPqtxI/fr19fHHH+vLL7+0uU1m4cKFNuuVLVtWMTEx2r17tyZOnOhQPdLft4otWrRI8fHxOd5+17BhQ02dOlUffvihBgwYYG3/9NNPdenSpSyTDzgqNDRUcXFx2r17t2bMmKHU1NTbPq+c5PQ1aNGihSZOnKjg4GBFR0c77XhmtWrVUlBQkPbv36++ffs6bb+O9C1H+nNUVJT27Nlj07Z69eostyLlhsx/cPjnRCGSNGfOnFw/tlnmJCRLlixR9erVre3/+9//7JqR7p8KFy6sxx9/XFevXlWrVq20b98+RUZGqkWLFlq+fLnuu+8+FSlSxKF9NmzYUJ999pmOHz9u8wfvf//7X/n6+ubaVNG32p9Lliypvn37KiEhQT/88EOO6/n4+Khu3br65JNPNGHChBwDT16ff0JCgk6ePGkNgenp6VqyZInuu+8+6+iXxWLJ0nf37NmjTZs22dwiWLduXX388cf65ptvrLfBScoyi97tupX+lVNfBfIjghLgIs2bN9e0adPUqVMnvfDCCzpz5oxef/31LL8Eb6ZSpUpau3atvvrqK4WHh8vf3z/HUZGuXbtq+vTp6tq1qyZMmKCYmBgtX75c3377bZZ158yZo8cff1xNmzZVXFycihcvrrNnz+rAgQPasWOHPvnkkxxr6tixo+bPn69evXrp4MGDql+/vjIyMrRlyxaVL19eHTp0UOPGjdW0aVMNHTpU58+fV61atayz3lWrVk1dunRx6DpIUs2aNdWiRQtVrlxZRYoU0YEDB/TBBx/okUceka+v722fV04qVaqkxYsXa8mSJSpVqpS8vb1VqVIl9e/fX59++qnq1KmjAQMGqHLlysrIyFBSUpK+++47DRo0SDVr1nT4eGZ+fn5666231K1bN509e1Zt27ZVSEiITp8+rd27d+v06dNZ/gXa3vOyt2850p+7dOmikSNHatSoUapbt67279+vmTNnKjAw0OEaHRUbG6siRYqoV69eGj16tDw8PPTRRx9p9+7duX5ss/vvv18dO3bUG2+8ITc3NzVo0ED79u3TG2+8ocDAwBveuipJzz//vHx8fFSrVi2Fh4crOTlZkyZNUmBgoHVEdty4cVq5cqViY2PVr18/lS1bVleuXFFiYqKWL1+u2bNn53gL2ujRo63PoIwaNUpFixbVRx99pK+//lpTp07Nta+Xvf05JSVF9evXV6dOnVSuXDn5+/tr27ZtWrFiRY4jxpmmTZumRx99VDVr1tSwYcNUunRpnTx5Ul9++aXmzJkjf3//PD//YsWKqUGDBho5cqR11ruff/7ZJty0aNFCr776qkaPHq26devq4MGDGjdunKKjo23Cdbdu3TR9+nR17txZ48ePV+nSpfXNN99Yf9bfrG/Zy97+ZU9fBfIl184lARRMmbM4mWc7M5s3b55RtmxZw8vLyyhVqpQxadIk4/3337eZAcow/p4NrHnz5tnuY9euXUatWrUMX19fQ1K2s6/907Fjx4ynnnrK8PPzM/z9/Y2nnnrK2LhxY5aZkAzDMHbv3m20a9fOCAkJMTw8PIywsDCjQYMGxuzZs296DS5fvmyMGjXKiImJMTw9PY3g4GCjQYMGxsaNG23WGTp0qBEZGWl4eHgY4eHhxosvvmicO3fOZl85nb95BrJhw4YZNWrUMIoUKWK9pgMGDDD+/PNPh88rp69h5gxXa9assbYlJiYaTZo0Mfz9/Q1JRmRkpHXZxYsXjVdeecUoW7as4enpaQQGBhqVKlUyBgwYYDPDlSSjT58+NsfKnOHttddey7aGTz75xKZ93bp1RvPmzY2iRYsaHh4eRvHixY3mzZvbrJc5k9vp06dttjXPPGYYjvcte/tzWlqaMWTIEKNEiRKGj4+PUbduXWPXrl0OzXpn7zXJ7uu4ceNG45FHHjF8fX2Ne+65x+jRo4exY8eOLN8DtzvrnT1958qVK8bAgQONkJAQw9vb23j44YeNTZs2GYGBgcaAAQNueC0WLFhg1K9f3wgNDTU8PT2NiIgIo127dtbZEDOdPn3a6NevnxEdHW14eHgYRYsWNR544AFjxIgRNrMsms/DMAxj7969RsuWLY3AwEDD09PTqFKlSpafEzld+8yvlXl9s+z6nmHcvD9fuXLF6NWrl1G5cmUjICDA8PHxMcqWLWuMHj3auHTp0g2PaRiGsX//fuPpp582goODDU9PT6NkyZJGXFycceXKFaecf079ILvvwczv/3feece47777DA8PD6NcuXLGRx99ZLNtWlqaMXjwYKN48eKGt7e3Ub16dePzzz83unXrZvNzxzAMIykpyWjTpo3Nz/rly5dnmfm0W7duRuHChbNcn+z6f3Z9xJ7+ZW9fBfIbi2GYPgkQAAC4zMaNG1WrVi199NFHWWakRMFksVjUp08fzZw5M1ePM3HiRL3yyitKSkq66WQWALj1DgAAl1m5cqU2bdqkBx54QD4+Ptq9e7cmT56smJiYm94+BtxIZugqV66crl27ptWrV+vNN99U586dCUmAnQhKAAC4SEBAgL777jvNmDFDFy5cULFixfT4449r0qRJWaZrBhzh6+ur6dOnKzExUWlpaSpZsqSGDh2qV155xdWlAXcMbr0DAAAAABM+cBYAAAAATAhKAAAAAGBCUAIAAAAAkwI/mUNGRoaOHz8uf39/6yeyAwAAALj7GIahCxcuKCIi4qYfvlzgg9Lx48dVokQJV5cBAAAAIJ84evToTafKL/BByd/fX9LfFyMgIMDF1QAAAABwlfPnz6tEiRLWjHAjBT4oZd5uFxAQQFACAAAAYNcjOUzmAAAAAAAmBCUAAAAAMCEoAQAAAIBJgX9GyR6GYej69etKT093dSkAbpObm5vc3d35OAAAAHBb7vqgdPXqVZ04cUKpqamuLgWAk/j6+io8PFyenp6uLgUAANyh7uqglJGRocOHD8vNzU0RERHy9PTkX6GBO5hhGLp69apOnz6tw4cPKyYm5qYfJgcAAJCduzooXb16VRkZGSpRooR8fX1dXQ4AJ/Dx8ZGHh4eOHDmiq1evytvb29UlAQCAOxD/1CrxL85AAcP3NAAAuF38NQEAAAAAJgQlAHeUtWvXatasWa4uAwAAFHAEpQImMTFRFotFu3btkvT3H5UWi0V//fWXS+sqqOLj4xUUFOTqMiRJ9erVU//+/V1ybHO/yy2HDx9W586d9eCDD+bqcQAAAO7qyRxuJGrY13l2rMTJzXNt37GxsTpx4oQCAwOdts/ExERFR0dr586dqlq16m3tKz4+XvHx8Vq7dq1TanOW+Ph49e/f/6YBs3379mrWrFneFHUTS5culYeHh6vLuC1RUVHq379/toHv6tWr6tixo959913VqFEj74sDAAB3FYJSAefp6amwsDBXl1Fg+fj4yMfHx9VlSJKKFi3q6hJylaenpzZv3uzqMgAAwF2CW+/uQBkZGZoyZYpKly4tLy8vlSxZUhMmTMh23exuvdu4caPq1KkjHx8flShRQv369dOlS5esy6OiojRx4kQ9++yz8vf3V8mSJTV37lzr8ujoaElStWrVZLFYVK9evRseOyEhQTVq1JCvr69iY2N18ODBHM9t27Ztaty4sYoVK6bAwEDVrVtXO3bssC5/9tln1aJFC5ttrl+/rrCwMM2bN0+StGLFCj366KMKCgpScHCwWrRooUOHDlnXz7xNbOnSpapfv758fX1VpUoVbdq0yVp39+7dlZKSIovFIovFojFjxmRbr/nWu0OHDunJJ59UaGio/Pz89OCDD2rVqlU220RFRWn8+PHq2rWr/Pz8FBkZqS+++EKnT5/Wk08+KT8/P1WqVEk//vijdZszZ86oY8eOuvfee+Xr66tKlSpp0aJFNvs133r3zjvvKCYmRt7e3goNDVXbtm1zvO727N+efvf7779ne00z3ajv1atXT0eOHNGAAQOs192e7QAAAHIDQekONHz4cE2ZMkUjR47U/v37tXDhQoWGhtq17d69e9W0aVO1adNGe/bs0ZIlS7Rhwwb17dvXZr033nhDNWrU0M6dO9W7d2+9+OKL+vnnnyVJW7dulSStWrVKJ06c0NKlS294zBEjRuiNN97Qjz/+KHd3dz377LM5rnvhwgV169ZN69ev1+bNmxUTE6NmzZrpwoULkqQePXpoxYoVOnHihHWb5cuX6+LFi2rXrp0k6dKlSxo4cKC2bdumhIQEFSpUSK1bt1ZGRkaWugYPHqxdu3apTJky6tixo65fv67Y2FjNmDFDAQEBOnHihE6cOKHBgwfbdX0vXryoZs2aadWqVdq5c6eaNm2qli1bKikpyWa96dOnq1atWtq5c6eaN2+uLl26qGvXrurcubN27Nih0qVLq2vXrjIMQ5J05coVPfDAA1q2bJl++uknvfDCC+rSpYu2bNmSbR0//vij+vXrp3HjxungwYNasWKF6tSpk2Pd9uzfnn6X0zWVbt73li5dqnvvvVfjxo2zXnd7tgMAAMgVRgGXkpJiSDJSUlKyLLt8+bKxf/9+4/Lly1mWRQ5dlmcvR5w/f97w8vIy3n333WyXHz582JBk7Ny50zAMw1izZo0hyTh37pxhGIbRpUsX44UXXrDZZv369UahQoWs1yEyMtLo3LmzdXlGRoYREhJizJo1K9tj5CTz2KtWrbK2ff3114akbK95dq5fv274+/sbX331lbWtQoUKxpQpU6zvW7VqZcTFxeW4j1OnThmSjL1799rU/95771nX2bdvnyHJOHDggGEYhjF//nwjMDDwpvXZs16FChWMt956y/refH1PnDhhSDJGjhxpbdu0aZMhyThx4kSO+23WrJkxaNAg6/u6desaL730kmEYhvHpp58aAQEBxvnz5296Dvbs395+d6Nram/fmz59us069mxndqPvbQAAcPe6UTYwY0TpDnPgwAGlpaWpYcOGt7T99u3bFR8fLz8/P+uradOmysjI0OHDh63rVa5c2fr/FotFYWFhOnXq1C0d85/7Cg8Pl6Qc93Xq1Cn16tVLZcqUUWBgoAIDA3Xx4kWbEZkePXpo/vz51vW//vprm1GqQ4cOqVOnTipVqpQCAgKstwqaR3Ucqctely5d0pAhQ1ShQgUFBQXJz89PP//88w2PnTkqU6lSpSxtmfWkp6drwoQJqly5soKDg+Xn56fvvvsuy34zNW7cWJGRkSpVqpS6dOmijz76SKmpqTnWfbP929vvbnRN7e17Zre6HQAAwO1gMoc7zO1OHJCRkaGePXuqX79+WZaVLFnS+v/m2dMsFkuWW9fs9c99ZT53ktO+4uLidPr0ac2YMUORkZHy8vLSI488oqtXr1rX6dq1q4YNG6ZNmzZp06ZNioqKUu3ata3LW7ZsqRIlSujdd99VRESEMjIyVLFiRZt9OFqXvf7973/r22+/1euvv67SpUvLx8dHbdu2tevYN6rnjTfe0PTp0zVjxgxVqlRJhQsXVv/+/bPsN5O/v7927NihtWvX6rvvvtOoUaM0ZswYbdu2LdvpzG+2f3v73Y3Owd6+Z3ar2wEAANwOgtIdJiYmRj4+PkpISFCPHj0c3r569erat2+fSpcufcs1eHp6Svp7FMLZ1q9fr3feecc65fbRo0f1559/2qwTHBysVq1aaf78+dq0aZO6d+9uXXbmzBkdOHBAc+bMsYanDRs2OFyHp6fnLZ3f+vXrFRcXp9atW0v6+5mlxMREh/eT3X6ffPJJde7cWdLf4eHXX39V+fLlc9zG3d1djRo1UqNGjTR69GgFBQVp9erVatOmjcP7v91+J9nX97K77s7oswAAAI4iKN1hvL29NXToUA0ZMkSenp6qVauWTp8+rX379um555676fZDhw7Vww8/rD59+uj5559X4cKFdeDAAa1cuVJvvfWWXTWEhITIx8dHK1as0L333itvb2+nfU5T6dKl9cEHH6hGjRo6f/68/v3vf2c7mtGjRw+1aNFC6enp6tatm7W9SJEiCg4O1ty5cxUeHq6kpCQNGzbM4TqioqJ08eJFJSQkqEqVKvL19ZWvr69d9S9dulQtW7aUxWLRyJEjb3uUKnO/n376qTZu3KgiRYpo2rRpSk5OzjEoLVu2TL///rvq1KmjIkWKaPny5crIyFDZsmVvaf+32+8k+/peVFSUvv/+e3Xo0EFeXl4qVqyYU/osAKBgy8vPv8wLufkZm7AfzyjdgUaOHKlBgwZp1KhRKl++vNq3b2/3szWVK1fWunXr9Ouvv6p27dqqVq2aRo4caX2exB7u7u568803NWfOHEVEROjJJ5+81VPJYt68eTp37pyqVaumLl26qF+/fgoJCcmyXqNGjRQeHq6mTZsqIiLC2l6oUCEtXrxY27dvV8WKFTVgwAC99tprDtcRGxurXr16qX379rrnnns0depUu7abPn26ihQpotjYWLVs2VJNmzZV9erVHT6+2ciRI1W9enU1bdpU9erVU1hYmFq1apXj+kFBQVq6dKkaNGig8uXLa/bs2Vq0aJHuv//+W97/7fQ7yb6+N27cOCUmJuq+++7TPffcY/d2AAAAzmYxjP+bf7iAOn/+vAIDA5WSkqKAgACbZVeuXNHhw4cVHR0tb29vF1WIW5GamqqIiAjNmzcv21vJ8sqcOXP06quv6tixYy6rAVnxvQ0AdxdGlGCvG2UDM269wx0lIyNDycnJeuONNxQYGKgnnnjCZbUcPXpUy5cvz3GUBgAAAHcughLuKElJSYqOjta9996r+Ph4ubu7rgtXr15dxYsXV3x8vMtqAAAAQO4gKOGOEhUVpfxyt+jp06ddXQIAAAByCZM5AAAAAIAJQQkAAAAATAhKAAAAAGBCUAIAAAAAE4ISAAAAAJgQlAAAAADAhKAE3IZdu3bptdde0/Xr13Nc5+rVq5o8ebIOHjyYh5Xlnf/85z/atGmTq8sAAABwKj5HKSdjAvPwWClO21ViYqKio6O1c+dOVa1aVWvXrlX9+vV17tw5BQUFOe04dwvz9fync+fOqW3btpoxY4bNB9/GxcXpr7/+0ueffy5J8vT0VKlSpfT0009ry5Yt8vHxyfW6x4wZo88//1y7du3K1eNMmzZNX3zxhXr16pWrxwEAAMhrjCgVcLGxsTpx4oQCA50X/BITE2WxWHL9j3Bnslgs1uDiDIZhKC4uTkOGDFGLFi1slv3nP/9RfHy8TVu7du3UtWtX/etf/3JaDblt7dq1slgs+uuvv7JdvnnzZn3wwQf64osv5OXllbfFAQAA5DJGlAo4T09PhYWFubqMAsdiseiLL77IdllOoXTw4MG5WVKee/jhh7Vz505XlwEAAJArGFG6A2VkZGjKlCkqXbq0vLy8VLJkSU2YMCHbdbMbFdi4caPq1KkjHx8flShRQv369dOlS5esy6OiojRx4kQ9++yz8vf3V8mSJTV37lzr8ujoaElStWrVZLFYVK9evWyPnZ6erueee07R0dHy8fFR2bJl9Z///Me6/Pvvv5eHh4eSk5Ntths0aJDq1KkjSTpz5ow6duyoe++9V76+vqpUqZIWLVpks369evXUr18/DRkyREWLFlVYWJjGjBljcz6S1Lp1a1ksFuv77GzdulXVqlWTt7e3atSokW0Q2L9/v5o1ayY/Pz+FhoaqS5cu+vPPP63L4+Li1KpVK+v7FStW6NFHH1VQUJCCg4PVokULHTp0KMca7N3m2LFj6tChg4oWLarChQurRo0a2rJli806H3zwgaKiohQYGKgOHTrowoUL1mWGYWjq1KkqVaqUfHx8VKVKFf3vf/+T9PeoYf369SVJRYoUkcViUVxc3E23AwAAKCgISneg4cOHa8qUKRo5cqT279+vhQsXKjQ01K5t9+7dq6ZNm6pNmzbas2ePlixZog0bNqhv3742673xxhvWoNC7d2+9+OKL+vnnnyX9HSYkadWqVTpx4oSWLl2a7bEyMjJ077336uOPP9b+/fs1atQovfzyy/r4448lSXXq1FGpUqX0wQcfWLe5fv26PvzwQ3Xv3l2SdOXKFT3wwANatmyZfvrpJ73wwgvq0qVLlkCwYMECFS5cWFu2bNHUqVM1btw4rVy5UpK0bds2SdL8+fN14sQJ63uzS5cuqUWLFipbtqy2b9+uMWPGZBkFOnHihOrWrauqVavqxx9/1IoVK3Ty5Em1a9cux2t+6dIlDRw4UNu2bVNCQoIKFSqk1q1bKyMj45a3uXjxourWravjx4/ryy+/1O7duzVkyBCbfR46dEiff/65li1bpmXLlmndunWaPHmydfkrr7yi+fPna9asWdq3b58GDBigzp07a926dSpRooQ+/fRTSdLBgwd14sQJa8i90XYAAAAFhcUwDMPVReSm8+fPKzAwUCkpKQoICLBZduXKFR0+fFjR0dHy9va23TCfTuZw4cIF3XPPPZo5c6Z69OiRZfnNJnPo2rWrfHx8NGfOHOs2GzZsUN26dXXp0iV5e3srKipKtWvXtgYYwzAUFhamsWPHqlevXjec4OBm+vTpo5MnT1pHIKZOnar4+Hjt379fkvTFF1+oc+fOSk5OVuHChbPdR/PmzVW+fHm9/vrrkv4eUUpPT9f69eut6zz00ENq0KCBNRhYLBZ99tlnNiM9ZnPnztXw4cN19OhR+fr6SpJmz56tF1980Xquo0aN0pYtW/Ttt99atzt27JhKlCihgwcPqkyZMlkmczA7ffq0QkJCtHfvXlWsWNGu62beZu7cuRo8eLASExNVtGjRLOuPGTNGr732mpKTk+Xv7y9JGjJkiL7//ntt3rxZly5dUrFixbR69Wo98sgj1u169Oih1NRULVy4MNuJQOzZLj+44fc2AKDAiRr2tatLcKrEyc1dXUKBdaNsYMYzSneYAwcOKC0tTQ0bNryl7bdv367ffvtNH330kbXNMAxlZGTo8OHDKl++vCSpcuXK1uUWi0VhYWE6deqUw8ebPXu23nvvPR05ckSXL1/W1atXbcJVXFycXnnlFW3evFkPP/yw5s2bp3bt2llDUnp6uiZPnqwlS5bojz/+UFpamtLS0rKEqH/WK0nh4eEO13vgwAFVqVLFGpIk2YQB6e/rt2bNGvn5+WXZ/tChQypTpky27SNHjtTmzZv1559/Wkd9kpKScgxKN9tm165dqlatWrYhKVNUVJQ1JEm212T//v26cuWKGjdubLPN1atXVa1atRz3eavbAQAA3GkISneY251aOiMjQz179lS/fv2yLCtZsqT1/z08PGyWWSyWG94qlp2PP/5YAwYM0BtvvKFHHnlE/v7+eu2112xumwsJCVHLli01f/58lSpVSsuXL9fatWuty9944w1Nnz5dM2bMUKVKlVS4cGH1799fV69etTmWM+q1Z3A1IyNDLVu21JQpU7IsCw8Pz3abli1bqkSJEnr33XcVERGhjIwMVaxYMcs5OLKNPf3gRtck879ff/21ihcvbrPejWawu9XtAAAA7jQEpTtMTEyMfHx8lJCQkO2tdzdTvXp17du3T6VLl77lGjw9PSX9PdpzI+vXr1dsbKx69+5tbctuEoMePXqoQ4cOuvfee3XfffepVq1aNvt48skn1blzZ0l//6H+66+/Wke+7OXh4XHTeitUqKAPPvhAly9ftgaRzZs326xTvXp1ffrpp4qKirL57KScnDlzRgcOHNCcOXNUu3ZtSX/f6ni721SuXFnvvfeezp49e8NRpZxUqFBBXl5eSkpKUt26dbNdJ7uvsz3bAQAAFARM5nCH8fb21tChQzVkyBD997//1aFDh7R582a9//77dm0/dOhQbdq0SX369NGuXbv066+/6ssvv3To831CQkLk4+NjncggJSX7Z6xKly6tH3/8Ud9++61++eUXjRw5MtuJFJo2barAwECNHz/eOonDP/excuVKbdy4UQcOHFDPnj2zzJJnj6ioKCUkJCg5OVnnzp3Ldp1OnTqpUKFCeu6557R//34tX77c+hxUpj59+ujs2bPq2LGjtm7dqt9//13fffednn322WyDWJEiRRQcHKy5c+fqt99+0+rVqzVw4MAb1mrPNh07dlRYWJhatWqlH374Qb///rs+/fRTbdq0ya7r4e/vr8GDB2vAgAFasGCBDh06pJ07d+rtt9/WggULJEmRkZGyWCxatmyZTp8+rYsXL9q1HQAAQEHAiFJOHJhgIa+NHDlS7u7uGjVqlI4fP67w8HD16tXLrm0rV66sdevWacSIEapdu7YMw9B9992n9u3b2318d3d3vfnmmxo3bpxGjRql2rVr29wul6lXr17atWuX2rdvL4vFoo4dO6p379765ptvbNYrVKiQ4uLiNHHiRHXt2jXLuR4+fFhNmzaVr6+vXnjhBbVq1SrHcJaTN954QwMHDtS7776r4sWLKzExMcs6fn5++uqrr9SrVy9Vq1ZNFSpU0JQpU/TUU09Z14mIiNAPP/ygoUOHqmnTpkpLS1NkZKQee+wxFSqU9d8dChUqpMWLF6tfv36qWLGiypYtqzfffDPHKdXt3cbT01PfffedBg0apGbNmun69euqUKGC3n77bbuvyauvvqqQkBBNmjRJv//+u4KCglS9enW9/PLLkqTixYtr7NixGjZsmLp3766uXbsqPj7+ptsBAAAUBMx6x8xY+cLzzz+vkydP6ssvv3R1KbetY8eOcnNz04cffujqUu5afG8DwN2FWe9gL0dmvePWO7hUSkqKVq1apY8++sih2//yo+vXr2v//v3atGmT7r//fleXAwAAgNtAUIJLPfnkk3riiSfUs2fPLFNO32l++ukn1ahRQ/fff7/dt0ICAAAgf+IZJbhUds823amqVq2q1NRUV5cBAAAAJ2BECQAAAABMCEqy74NGAdw5+J4GAAC3664OSh4eHpLE7VJAAZP5PZ35PQ4AAOCou/oZJTc3NwUFBenUqVOSJF9fX1ksFhdXBeBWGYah1NRUnTp1SkFBQXJzc3N1SQAA4A51VwclSQoLC5Mka1gCcOcLCgqyfm8DAADcirs+KFksFoWHhyskJETXrl1zdTkAbpOHhwcjSQAA4Lbd9UEpk5ubG39cAQAAAJB0l0/mAAAAAADZISgBAAAAgAlBCQAAAABMXBqUrl+/rldeeUXR0dHy8fFRqVKlNG7cOGVkZFjXMQxDY8aMUUREhHx8fFSvXj3t27fPhVUDAAAAKOhcGpSmTJmi2bNna+bMmTpw4ICmTp2q1157TW+99ZZ1nalTp2ratGmaOXOmtm3bprCwMDVu3FgXLlxwYeUAAAAACjKXBqVNmzbpySefVPPmzRUVFaW2bduqSZMm+vHHHyX9PZo0Y8YMjRgxQm3atFHFihW1YMECpaamauHCha4sHQAAAEAB5tKg9OijjyohIUG//PKLJGn37t3asGGDmjVrJkk6fPiwkpOT1aRJE+s2Xl5eqlu3rjZu3JjtPtPS0nT+/HmbFwAAAAA4wqWfozR06FClpKSoXLlycnNzU3p6uiZMmKCOHTtKkpKTkyVJoaGhNtuFhobqyJEj2e5z0qRJGjt2bO4WDgAAAKBAc+mI0pIlS/Thhx9q4cKF2rFjhxYsWKDXX39dCxYssFnPYrHYvDcMI0tbpuHDhyslJcX6Onr0aK7VDwAAAKBgcumI0r///W8NGzZMHTp0kCRVqlRJR44c0aRJk9StWzeFhYVJ+ntkKTw83LrdqVOnsowyZfLy8pKXl1fuFw8AAACgwHLpiFJqaqoKFbItwc3NzTo9eHR0tMLCwrRy5Urr8qtXr2rdunWKjY3N01oBAAAA3D1cOqLUsmVLTZgwQSVLltT999+vnTt3atq0aXr22Wcl/X3LXf/+/TVx4kTFxMQoJiZGEydOlK+vrzp16uTK0gEAAAAUYC4NSm+99ZZGjhyp3r1769SpU4qIiFDPnj01atQo6zpDhgzR5cuX1bt3b507d041a9bUd999J39/fxdWDgAAAKAgsxiGYbi6iNx0/vx5BQYGKiUlRQEBAa4uBwAAAE4WNexrV5fgVImTm7u6hALLkWzg0meUAAAAACA/IigBAAAAgAlBCQAAAABMCEoAAAAAYEJQAgAAAAATghIAAAAAmBCUAAAAAMCEoAQAAAAAJgQlAAAAADAhKAEAAACACUEJAAAAAEwISgAAAABgQlACAAAAABOCEgAAAACYEJQAAAAAwISgBAAAAAAmBCUAAAAAMCEoAQAAAIAJQQkAAAAATAhKAAAAAGBCUAIAAAAAE4ISAAAAAJgQlAAAAADAhKAEAAAAACYEJQAAAAAwISgBAAAAgAlBCQAAAABMCEoAAAAAYEJQAgAAAAATghIAAAAAmBCUAAAAAMCEoAQAAAAAJgQlAAAAADAhKAEAAACACUEJAAAAAEwISgAAAABgQlACAAAAABOCEgAAAACYEJQAAAAAwISgBAAAAAAmBCUAAAAAMCEoAQAAAIAJQQkAAAAATAhKAAAAAGBCUAIAAAAAE4ISAAAAAJgQlAAAAADAhKAEAAAAACYEJQAAAAAwISgBAAAAgAlBCQAAAABMCEoAAAAAYEJQAgAAAAATghIAAAAAmBCUAAAAAMCEoAQAAAAAJgQlAAAAADAhKAEAAACACUEJAAAAAEwISgAAAABgQlACAAAAABOCEgAAAACYEJQAAAAAwISgBAAAAAAmBCUAAAAAMCEoAQAAAIAJQQkAAAAATAhKAAAAAGBCUAIAAAAAE4ISAAAAAJgQlAAAAADAxN3RDRITE7V+/XolJiYqNTVV99xzj6pVq6ZHHnlE3t7euVEjAAAAAOQpu4PSwoUL9eabb2rr1q0KCQlR8eLF5ePjo7Nnz+rQoUPy9vbWM888o6FDhyoyMjI3awYAAACAXGVXUKpevboKFSqkuLg4ffzxxypZsqTN8rS0NG3atEmLFy9WjRo19M477+jpp5/OlYIBAAAAILfZFZReffVVNW/ePMflXl5eqlevnurVq6fx48fr8OHDTisQAAAAAPKaXUHpRiHJrFixYipWrNgtFwQAAAAArubwZA7/9PXXX2vt2rVKT09XrVq19NRTTzmrLgAAAABwmVueHnzkyJEaMmSILBaLDMPQgAED1LdvX2fWBgAAAAAuYfeI0vbt2/XAAw9Y3y9ZskS7d++Wj4+PJCkuLk716tXTzJkznV8lAAAAAOQhu0eUXnjhBfXv31+pqamSpFKlSmnatGk6ePCg9u7dq1mzZqlMmTK5VigAAAAA5BW7g9LWrVsVFham6tWr66uvvtK8efO0Y8cOxcbGqnbt2jp27JgWLlyYm7UCAAAAQJ6w+9Y7Nzc3DRs2TO3atdOLL76owoULa+bMmYqIiMjN+gAAAAAgzzk8mUOpUqX07bffqlWrVqpTp47efvvt3KgLAAAAAFzG7qCUkpKioUOHqmXLlnrllVfUpk0bbdmyRVu3btXDDz+svXv35madAAAAAJBn7A5K3bp10+bNm9W8eXMdPHhQL774ooKDg7VgwQJNmDBB7dq109ChQ3OzVgAAAADIE3Y/o5SQkKCdO3eqdOnSev7551W6dGnrsoYNG2rHjh169dVXc6VIAAAAAMhLdo8oxcTEaO7cufrll180e/ZsRUZG2iz38fHRxIkTnV4gAAAAAOQ1u4PSvHnztHr1alWrVk0LFy7UrFmzcrMuAAAAAHAZu2+9q1q1qn788cfcrAUAAAAA8gWHpwe3h2EYdq/7xx9/qHPnzgoODpavr6+qVq2q7du32+xrzJgxioiIkI+Pj+rVq6d9+/blRtkAAAAAIMnOoFS+fHktXLhQV69eveF6v/76q1588UVNmTLFroOfO3dOtWrVkoeHh7755hvt379fb7zxhoKCgqzrTJ06VdOmTdPMmTO1bds2hYWFqXHjxrpw4YJdxwAAAAAAR9l1693bb7+toUOHqk+fPmrSpIlq1KihiIgIeXt769y5c9q/f782bNig/fv3q2/fvurdu7ddB58yZYpKlCih+fPnW9uioqKs/28YhmbMmKERI0aoTZs2kqQFCxYoNDRUCxcuVM+ePR04VQAAAACwj11BqUGDBtq2bZs2btyoJUuWaOHChUpMTNTly5dVrFgxVatWTV27dlXnzp1tRoNu5ssvv1TTpk319NNPa926dSpevLh69+6t559/XpJ0+PBhJScnq0mTJtZtvLy8VLduXW3cuDHboJSWlqa0tDTr+/Pnz9tdDwAAAABIDkzmIEmxsbGKjY112sF///13zZo1SwMHDtTLL7+srVu3ql+/fvLy8lLXrl2VnJwsSQoNDbXZLjQ0VEeOHMl2n5MmTdLYsWOdViMAAACAu0+uTOZgr4yMDFWvXl0TJ05UtWrV1LNnTz3//PNZph63WCw27w3DyNKWafjw4UpJSbG+jh49mmv1AwAAACiYXBqUwsPDVaFCBZu28uXLKykpSZIUFhYmSdaRpUynTp3KMsqUycvLSwEBATYvAAAAAHCES4NSrVq1dPDgQZu2X375RZGRkZKk6OhohYWFaeXKldblV69e1bp165x6CyAAAAAA/JNDzyg524ABAxQbG6uJEyeqXbt22rp1q+bOnau5c+dK+vuWu/79+2vixImKiYlRTEyMJk6cKF9fX3Xq1MmVpQMAAAAowFwalB588EF99tlnGj58uMaNG6fo6GjNmDFDzzzzjHWdIUOG6PLly+rdu7fOnTunmjVr6rvvvpO/v78LKwcAAABQkFkMwzAc2cDNzU0nTpxQSEiITfuZM2cUEhKi9PR0pxZ4u86fP6/AwEClpKTwvBIAAEABFDXsa1eX4FSJk5u7uoQCy5Fs4PAzSjnlqrS0NHl6ejq6OwAAAADId+y+9e7NN9+U9PdzQ++99578/Pysy9LT0/X999+rXLlyzq8QAAAAAPKY3UFp+vTpkv4eUZo9e7bc3Nysyzw9PRUVFaXZs2c7v0IAAAAAyGN2B6XDhw9LkurXr6+lS5eqSJEiuVYUAAAAALiSw7PerVmzJjfqAAAAAIB8w+GglJ6ervj4eCUkJOjUqVPKyMiwWb569WqnFQcAAAAAruBwUHrppZcUHx+v5s2bq2LFirJYLLlRFwAAAAC4jMNBafHixfr444/VrFmz3KgHAAAAAFzO4c9R8vT0VOnSpXOjFgAAAADIFxwOSoMGDdJ//vOfHD94FgAAAADudA7ferdhwwatWbNG33zzje6//355eHjYLF+6dKnTigMAAAAAV3A4KAUFBal169a5UQsAAAAA5AsOB6X58+fnRh0AAAAAkG84/IySJF2/fl2rVq3SnDlzdOHCBUnS8ePHdfHiRacWBwAAAACu4PCI0pEjR/TYY48pKSlJaWlpaty4sfz9/TV16lRduXJFs2fPzo06AQAAACDPODyi9NJLL6lGjRo6d+6cfHx8rO2tW7dWQkKCU4sDAAAAAFe4pVnvfvjhB3l6etq0R0ZG6o8//nBaYQAAAADgKg6PKGVkZCg9PT1L+7Fjx+Tv7++UogAAAADAlRwOSo0bN9aMGTOs7y0Wiy5evKjRo0erWbNmzqwNAAAAAFzC4Vvvpk+frvr166tChQq6cuWKOnXqpF9//VXFihXTokWLcqNGAAAAAMhTDgeliIgI7dq1S4sWLdKOHTuUkZGh5557Ts8884zN5A4AAAAAcKdyOChJko+Pj5599lk9++yzzq4HAAAAAFzuloLSH3/8oR9++EGnTp1SRkaGzbJ+/fo5pTAAAAAAcBWHg9L8+fPVq1cveXp6Kjg4WBaLxbrMYrEQlAAAAADc8RwOSqNGjdKoUaM0fPhwFSrk8KR5AAAAAJDvOZx0UlNT1aFDB0ISAAAAgALL4bTz3HPP6ZNPPsmNWgAAAAAgX3D41rtJkyapRYsWWrFihSpVqiQPDw+b5dOmTXNacQAAAADgCg4HpYkTJ+rbb79V2bJlJSnLZA4AAAAAcKdzOChNmzZN8+bNU1xcXC6UAwAAAACu5/AzSl5eXqpVq1Zu1AIAAAAA+YLDQemll17SW2+9lRu1AAAAAEC+4PCtd1u3btXq1au1bNky3X///Vkmc1i6dKnTigMAAAAAV3A4KAUFBalNmza5UQsAAAAA5AsOB6X58+fnRh0AAAAAkG84/IySJF2/fl2rVq3SnDlzdOHCBUnS8ePHdfHiRacWBwAAAACu4PCI0pEjR/TYY48pKSlJaWlpaty4sfz9/TV16lRduXJFs2fPzo06AQAAACDP3NKsdzVq1NC5c+fk4+NjbW/durUSEhKcWhwAAAAAuILDI0obNmzQDz/8IE9PT5v2yMhI/fHHH04rDAAAAABcxeERpYyMDKWnp2dpP3bsmPz9/Z1SFAAAAAC4ksNBqXHjxpoxY4b1vcVi0cWLFzV69Gg1a9bMmbUBAAAAgEs4fOvd9OnTVb9+fVWoUEFXrlxRp06d9Ouvv6pYsWJatGhRbtQIAAAAAHnK4aAUERGhXbt2afHixdq+fbsyMjL03HPP6ZlnnrGZ3AEAAAAA7lQOB6Xvv/9esbGx6t69u7p3725tv379ur7//nvVqVPHqQUCAAAAQF5z+Bml+vXr6+zZs1naU1JSVL9+facUBQAAAACu5HBQMgxDFoslS/uZM2dUuHBhpxQFAAAAAK5k9613bdq0kfT3LHdxcXHy8vKyLktPT9eePXsUGxvr/AoBAAAAII/ZHZQCAwMl/T2i5O/vbzNxg6enpx5++GE9//zzzq8QAAAAAPKY3UFp/vz5kqSoqCgNHjyY2+wAAAAAFFgOz3o3evTo3KgDAJDPRA372tUlOF3i5OauLgEAcIdweDKHkydPqkuXLoqIiJC7u7vc3NxsXgAAAABwp3N4RCkuLk5JSUkaOXKkwsPDs50BDwAAAADuZA4HpQ0bNmj9+vWqWrVqLpQDAAAAAK7n8K13JUqUkGEYuVELAAAAAOQLDgelGTNmaNiwYUpMTMyFcgAAAADA9Ry+9a59+/ZKTU3VfffdJ19fX3l4eNgsP3v2rNOKAwAAAABXcDgozZgxIxfKAAAAAID8w+Gg1K1bt9yoAwAAAADyDYefUZKkQ4cO6ZVXXlHHjh116tQpSdKKFSu0b98+pxYHAAAAAK7gcFBat26dKlWqpC1btmjp0qW6ePGiJGnPnj0aPXq00wsEAAAAgLzmcFAaNmyYxo8fr5UrV8rT09PaXr9+fW3atMmpxQEAAACAKzgclPbu3avWrVtnab/nnnt05swZpxQFAAAAAK7kcFAKCgrSiRMnsrTv3LlTxYsXd0pRAAAAAOBKDgelTp06aejQoUpOTpbFYlFGRoZ++OEHDR48WF27ds2NGgEAAAAgTzkclCZMmKCSJUuqePHiunjxoipUqKA6deooNjZWr7zySm7UCAAAAAB5yuHPUfLw8NBHH32kV199VTt27FBGRoaqVaummJiY3KgPAAAAAPKcw0EpU6lSpVSqVCmlp6dr7969OnfunIoUKeLM2gAAAADAJRy+9a5///56//33JUnp6emqW7euqlevrhIlSmjt2rXOrg8AAAAA8pzDQel///ufqlSpIkn66quv9Pvvv+vnn39W//79NWLECKcXCAAAAAB5zeGg9OeffyosLEyStHz5crVr105lypTRc889p7179zq9QAAAAADIaw4HpdDQUO3fv1/p6elasWKFGjVqJElKTU2Vm5ub0wsEAAAAgLzm8GQO3bt3V7t27RQeHi6LxaLGjRtLkrZs2aJy5co5vUAAAAAAyGsOB6UxY8aoYsWKOnr0qJ5++ml5eXlJktzc3DRs2DCnFwgAAAAAee2Wpgdv27ZtlrZu3brddjEAAAAAkB/cUlBKSEhQQkKCTp06pYyMDJtl8+bNc0phAAAAAOAqDgelsWPHaty4capRo4b1OSUAAAAAKEgcDkqzZ89WfHy8unTpkhv1AAAAAIDLOTw9+NWrVxUbG5sbtQAAAABAvuBwUOrRo4cWLlyYG7UAAAAAQL7g8K13V65c0dy5c7Vq1SpVrlxZHh4eNsunTZvmtOIAAAAAwBUcDkp79uxR1apVJUk//fSTzTImdgAAAABQEDgclNasWZMbdQAAAABAvuHwM0r/dOzYMf3xxx/OqgUAAAAA8gWHg1JGRobGjRunwMBARUZGqmTJkgoKCtKrr76a5cNnAQAAAOBO5PCtdyNGjND777+vyZMnq1atWjIMQz/88IPGjBmjK1euaMKECblRJwAAAADkGYeD0oIFC/Tee+/piSeesLZVqVJFxYsXV+/evQlKAAAAAO54Dt96d/bsWZUrVy5Le7ly5XT27FmnFAUAAAAAruRwUKpSpYpmzpyZpX3mzJmqUqWKU4oCAAAAAFdyOChNnTpV8+bNU4UKFfTcc8+pR48eqlChguLj4/Xaa6/dciGTJk2SxWJR//79rW2GYWjMmDGKiIiQj4+P6tWrp3379t3yMQAAAADAHg4Hpbp16+rgwYNq3bq1/vrrL509e1Zt2rTRwYMHVbt27VsqYtu2bZo7d64qV65s0z516lRNmzZNM2fO1LZt2xQWFqbGjRvrwoULt3QcAAAAALCHw5M5SFLx4sWdNmnDxYsX9cwzz+jdd9/V+PHjre2GYWjGjBkaMWKE2rRpI+nviSRCQ0O1cOFC9ezZ0ynHBwAAAAAzh0eU5s+fr08++SRL+yeffKIFCxY4XECfPn3UvHlzNWrUyKb98OHDSk5OVpMmTaxtXl5eqlu3rjZu3Jjj/tLS0nT+/HmbFwAAAAA4wuGgNHnyZBUrVixLe0hIiCZOnOjQvhYvXqwdO3Zo0qRJWZYlJydLkkJDQ23aQ0NDrcuyM2nSJAUGBlpfJUqUcKgmAAAAAHA4KB05ckTR0dFZ2iMjI5WUlGT3fo4ePaqXXnpJH374oby9vXNcz2Kx2Lw3DCNL2z8NHz5cKSkp1tfRo0ftrgkAAAAApFsISiEhIdqzZ0+W9t27dys4ONju/Wzfvl2nTp3SAw88IHd3d7m7u2vdunV688035e7ubh1JMo8enTp1Ksso0z95eXkpICDA5gUAAAAAjnA4KHXo0EH9+vXTmjVrlJ6ervT0dK1evVovvfSSOnToYPd+GjZsqL1792rXrl3WV40aNfTMM89o165dKlWqlMLCwrRy5UrrNlevXtW6desUGxvraNkAAAAAYDeHZ70bP368jhw5ooYNG8rd/e/NMzIy1LVrV4eeUfL391fFihVt2goXLqzg4GBre//+/TVx4kTFxMQoJiZGEydOlK+vrzp16uRo2QAAAABgN4eDkqenp5YsWaLx48dr165d8vHxUaVKlRQZGen04oYMGaLLly+rd+/eOnfunGrWrKnvvvtO/v7+Tj8WAAAAAGS6pc9RkmQd5XGmtWvX2ry3WCwaM2aMxowZ49TjAAAAAMCNOPyMEgAAAAAUdAQlAAAAADAhKAEAAACACUEJAAAAAExuKSitX79enTt31iOPPKI//vhDkvTBBx9ow4YNTi0OAAAAAFzB4aD06aefqmnTpvLx8dHOnTuVlpYmSbpw4YJDn6MEAAAAAPmVw0Fp/Pjxmj17tt599115eHhY22NjY7Vjxw6nFgcAAAAAruBwUDp48KDq1KmTpT0gIEB//fWXM2oCAAAAAJdyOCiFh4frt99+y9K+YcMGlSpVyilFAQAAAIArORyUevbsqZdeeklbtmyRxWLR8ePH9dFHH2nw4MHq3bt3btQIAAAAAHnK3dENhgwZopSUFNWvX19XrlxRnTp15OXlpcGDB6tv3765USMAAAAA5CmHg5IkTZgwQSNGjND+/fuVkZGhChUqyM/Pz9m1AQAAAIBL3FJQkiRfX1/VqFHDmbUAAAAAQL5gV1Bq06aN3TtcunTpLRcDAAAAAPmBXZM5BAYGWl8BAQFKSEjQjz/+aF2+fft2JSQkKDAwMNcKBQAAAIC8YteI0vz5863/P3ToULVr106zZ8+Wm5ubJCk9PV29e/dWQEBA7lQJAAAAAHnI4enB582bp8GDB1tDkiS5ublp4MCBmjdvnlOLAwAAAABXcDgoXb9+XQcOHMjSfuDAAWVkZDilKAAAAABwJYdnvevevbueffZZ/fbbb3r44YclSZs3b9bkyZPVvXt3pxcIAAAAAHnN4aD0+uuvKywsTNOnT9eJEyckSeHh4RoyZIgGDRrk9AIBAAAAIK85HJQKFSqkIUOGaMiQITp//rwkMYkDAAAAgALllj9wViIgAQAAACiYHJ7MAQAAAAAKOoISAAAAAJgQlAAAAADAxOGg9N///ldpaWlZ2q9evar//ve/TikKAAAAAFzJ4aDUvXt3paSkZGm/cOECn6MEAAAAoEBwOCgZhiGLxZKl/dixYwoMDHRKUQAAAADgSnZPD16tWjVZLBZZLBY1bNhQ7u7/f9P09HQdPnxYjz32WK4UCQAAAAB5ye6g1KpVK0nSrl271LRpU/n5+VmXeXp6KioqSk899ZTTCwQAAACAvGZ3UBo9erTS09MVGRmppk2bKjw8PDfrAgAAAACXcegZJTc3N/Xq1UtXrlzJrXoAAAAAwOUcnsyhUqVK+v3333OjFgAAAADIFxwOShMmTNDgwYO1bNkynThxQufPn7d5AQAAAMCdzu5nlDJlzmz3xBNP2EwTnjlteHp6uvOqAwAAAAAXcDgorVmzJjfqAAAAAIB8w+GgVLdu3dyoAwAAAADyDYeDUqbU1FQlJSXp6tWrNu2VK1e+7aIAAAAAwJUcDkqnT59W9+7d9c0332S7nGeUAAAAgNswJtDVFTjfmBRXV+Awh2e969+/v86dO6fNmzfLx8dHK1as0IIFCxQTE6Mvv/wyN2oEAAAAgDzl8IjS6tWr9cUXX+jBBx9UoUKFFBkZqcaNGysgIECTJk1S8+bNc6NOAAAAAMgzDo8oXbp0SSEhIZKkokWL6vTp05L+/iDaHTt2OLc6AAAAAHABh4NS2bJldfDgQUlS1apVNWfOHP3xxx+aPXu2wsPDnV4gAAAAAOQ1h2+969+/v44fPy5JGj16tJo2baqPPvpInp6eio+Pd3Z9AAAAAJDnHA5KzzzzjPX/q1WrpsTERP38888qWbKkihUr5tTiAAAAAMAV7L71LjU1VX369FHx4sUVEhKiTp066c8//5Svr6+qV69OSAIAAABQYNgdlEaPHq34+Hg1b95cHTp00MqVK/Xiiy/mZm0AAAAA4BJ233q3dOlSvf/+++rQoYMkqXPnzqpVq5bS09Pl5uaWawUCAAAAQF6ze0Tp6NGjql27tvX9Qw89JHd3d+vEDgAAAABQUNgdlNLT0+Xp6WnT5u7uruvXrzu9KAAAAABwJbtvvTMMQ3FxcfLy8rK2XblyRb169VLhwoWtbUuXLnVuhQAAAACQx+wOSt26dcvS1rlzZ6cWAwAAAAD5gd1Baf78+blZBwAAAADkG3Y/owQAAAAAdwuCEgAAAACYEJQAAAAAwISgBAAAAAAmBCUAAAAAMCEoAQAAAIAJQQkAAAAATAhKAAAAAGBCUAIAAAAAE4ISAAAAAJgQlAAAAADAhKAEAAAAACYEJQAAAAAwISgBAAAAgAlBCQAAAABMCEoAAAAAYEJQAgAAAAATd1cXAABAnhkT6OoKnGtMiqsrAIACixElAAAAADAhKAEAAACACUEJAAAAAEx4Rgm3j3v+AQAAUMAQlPJY1LCvXV2C0yV6u7oCAAAAwLm49Q4AAAAATAhKAAAAAGBCUAIAAAAAE4ISAAAAAJgQlAAAAADAhKAEAAAAACYEJQAAAAAwISgBAAAAgAlBCQAAAABMCEoAAAAAYEJQAgAAAAATghIAAAAAmLg0KE2aNEkPPvig/P39FRISolatWungwYM26xiGoTFjxigiIkI+Pj6qV6+e9u3b56KKAQAAANwNXBqU1q1bpz59+mjz5s1auXKlrl+/riZNmujSpUvWdaZOnapp06Zp5syZ2rZtm8LCwtS4cWNduHDBhZUDAAAAKMjcXXnwFStW2LyfP3++QkJCtH37dtWpU0eGYWjGjBkaMWKE2rRpI0lasGCBQkNDtXDhQvXs2dMVZQMAAAAo4PLVM0opKSmSpKJFi0qSDh8+rOTkZDVp0sS6jpeXl+rWrauNGzdmu4+0tDSdP3/e5gUAAAAAjsg3QckwDA0cOFCPPvqoKlasKElKTk6WJIWGhtqsGxoaal1mNmnSJAUGBlpfJUqUyN3CAQAAABQ4+SYo9e3bV3v27NGiRYuyLLNYLDbvDcPI0pZp+PDhSklJsb6OHj2aK/UCAAAAKLhc+oxSpn/961/68ssv9f333+vee++1toeFhUn6e2QpPDzc2n7q1Kkso0yZvLy85OXllbsFAwAAACjQXDqiZBiG+vbtq6VLl2r16tWKjo62WR4dHa2wsDCtXLnS2nb16lWtW7dOsbGxeV0uAAAAgLuES0eU+vTpo4ULF+qLL76Qv7+/9bmjwMBA+fj4yGKxqH///po4caJiYmIUExOjiRMnytfXV506dXJl6QAAAAAKMJcGpVmzZkmS6tWrZ9M+f/58xcXFSZKGDBmiy5cvq3fv3jp37pxq1qyp7777Tv7+/nlcLQAAAIC7hUuDkmEYN13HYrFozJgxGjNmTO4XBAAAAADKR7PeAQAAAEB+QVACAAAAABOCEgAAAACYEJQAAAAAwISgBAAAAAAmLp31DgAA4I42JtDVFTjfmBRXVwDkC4woAQAAAIAJQQkAAAAATAhKAAAAAGBCUAIAAAAAE4ISAAAAAJgQlAAAAADAhKAEAAAAACYEJQAAAAAwISgBAAAAgAlBCQAAAABMCEoAAAAAYEJQAgAAAAATghIAAAAAmBCUAAAAAMCEoAQAAAAAJgQlAAAAADBxd3UBAG5f1LCvXV2C0yVObu7qEgAAwF2MESUAAAAAMCEoAQAAAIAJQQkAAAAATAhKAAAAAGBCUAIAAAAAE4ISAAAAAJgQlAAAAADAhKAEAAAAACYEJQAAAAAwISgBAAAAgAlBCQAAAABMCEoAAAAAYEJQAgAAAAATghIAAAAAmBCUAAAAAMCEoAQAAAAAJgQlAAAAADAhKAEAAACACUEJAAAAAEwISgAAAABgQlACAAAAABOCEgAAAACYEJQAAAAAwISgBAAAAAAmBCUAAAAAMCEoAQAAAIAJQQkAAAAATAhKAAAAAGDi7uoCAADA3SNq2NeuLsGpEr1dXQGA3MKIEgAAAACYEJQAAAAAwISgBAAAAAAmBCUAAAAAMCEoAQAAAIAJQQkAAAAATAhKAAAAAGBCUAIAAAAAE4ISAAAAAJgQlAAAAADAhKAEAAAAACYEJQAAAAAwISgBAAAAgAlBCQAAAABMCEoAAAAAYEJQAgAAAAATghIAAAAAmBCUAAAAAMCEoAQAAAAAJgQlAAAAADAhKAEAAACACUEJAAAAAEwISgAAAABgQlACAAAAABOCEgAAAACYEJQAAAAAwISgBAAAAAAmBCUAAAAAMCEoAQAAAIAJQQkAAAAATAhKAAAAAGBCUAIAAAAAE4ISAAAAAJgQlAAAAADAhKAEAAAAACYEJQAAAAAwISgBAAAAgMkdEZTeeecdRUdHy9vbWw888IDWr1/v6pIAAAAAFGD5PigtWbJE/fv314gRI7Rz507Vrl1bjz/+uJKSklxdGgAAAIACyt3VBdzMtGnT9Nxzz6lHjx6SpBkzZujbb7/VrFmzNGnSJBdXByDXjAl0dQXONSbF1RUAAAAH5OugdPXqVW3fvl3Dhg2zaW/SpIk2btyY7TZpaWlKS0uzvk9J+fuPk/Pnz+deoQ7ISEt1dQlOd95iuLoE58onfcUR9Ks7AP0qX6BfuV5B61cFrk9J9Kt8gH6VezIzgWHc/Brn66D0559/Kj09XaGhoTbtoaGhSk5OznabSZMmaezYsVnaS5QokSs1Qipg/+4vTS5wZ3RHKnBfBfpVvlDgvgr0K5crkF8B+pXLFcivQD7rVxcuXFBg4I1rytdBKZPFYrF5bxhGlrZMw4cP18CBA63vMzIydPbsWQUHB+e4DW7d+fPnVaJECR09elQBAQGuLgcFBP0KuYF+BWejTyE30K9yl2EYunDhgiIiIm66br4OSsWKFZObm1uW0aNTp05lGWXK5OXlJS8vL5u2oKCg3CoR/ycgIIBvZjgd/Qq5gX4FZ6NPITfQr3LPzUaSMuXrWe88PT31wAMPaOXKlTbtK1euVGxsrIuqAgAAAFDQ5esRJUkaOHCgunTpoho1auiRRx7R3LlzlZSUpF69erm6NAAAAAAFVL4PSu3bt9eZM2c0btw4nThxQhUrVtTy5csVGRnp6tKgv291HD16dJbbHYHbQb9CbqBfwdnoU8gN9Kv8w2LYMzceAAAAANxF8vUzSgAAAADgCgQlAAAAADAhKAEAAACACUEJAAAAAEwISrip77//Xi1btlRERIQsFos+//xzm+WGYWjMmDGKiIiQj4+P6tWrp3379rmmWNwxbtavli5dqqZNm6pYsWKyWCzatWuXS+rEneVG/eratWsaOnSoKlWqpMKFCysiIkJdu3bV8ePHXVcw7gg3+3k1ZswYlStXToULF1aRIkXUqFEjbdmyxTXF4o5xs371Tz179pTFYtGMGTPyrD4QlGCHS5cuqUqVKpo5c2a2y6dOnapp06Zp5syZ2rZtm8LCwtS4cWNduHAhjyvFneRm/erSpUuqVauWJk+enMeV4U52o36VmpqqHTt2aOTIkdqxY4eWLl2qX375RU888YQLKsWd5GY/r8qUKaOZM2dq79692rBhg6KiotSkSROdPn06jyvFneRm/SrT559/ri1btigiIiKPKoOVAThAkvHZZ59Z32dkZBhhYWHG5MmTrW1XrlwxAgMDjdmzZ7ugQtyJzP3qnw4fPmxIMnbu3JmnNeHOd6N+lWnr1q2GJOPIkSN5UxTuePb0q5SUFEOSsWrVqrwpCne8nPrVsWPHjOLFixs//fSTERkZaUyfPj3Pa7ubMaKE23L48GElJyerSZMm1jYvLy/VrVtXGzdudGFlAHBzKSkpslgsCgoKcnUpKCCuXr2quXPnKjAwUFWqVHF1ObiDZWRkqEuXLvr3v/+t+++/39Xl3JXcXV0A7mzJycmSpNDQUJv20NBQHTlyxBUlAYBdrly5omHDhqlTp04KCAhwdTm4wy1btkwdOnRQamqqwsPDtXLlShUrVszVZeEONmXKFLm7u6tfv36uLuWuxYgSnMJisdi8NwwjSxsA5BfXrl1Thw4dlJGRoXfeecfV5aAAqF+/vnbt2qWNGzfqscceU7t27XTq1ClXl4U71Pbt2/Wf//xH8fHx/D3lQgQl3JawsDBJ/39kKdOpU6eyjDIBQH5w7do1tWvXTocPH9bKlSsZTYJTFC5cWKVLl9bDDz+s999/X+7u7nr//fddXRbuUOvXr9epU6dUsmRJubu7y93dXUeOHNGgQYMUFRXl6vLuGgQl3Jbo6GiFhYVp5cqV1rarV69q3bp1io2NdWFlAJBVZkj69ddftWrVKgUHB7u6JBRQhmEoLS3N1WXgDtWlSxft2bNHu3btsr4iIiL073//W99++62ry7tr8IwSburixYv67bffrO8PHz6sXbt2qWjRoipZsqT69++viRMnKiYmRjExMZo4caJ8fX3VqVMnF1aN/O5m/ers2bNKSkqyfsbNwYMHJf09ipk5kgmY3ahfRUREqG3bttqxY4eWLVum9PR062h40aJF5enp6aqykc/dqF8FBwdrwoQJeuKJJxQeHq4zZ87onXfe0bFjx/T000+7sGrkdzf7PWj+hxwPDw+FhYWpbNmyeV3q3cvV0+4h/1uzZo0hKcurW7duhmH8PUX46NGjjbCwMMPLy8uoU6eOsXfvXtcWjXzvZv1q/vz52S4fPXq0S+tG/najfpU51Xx2rzVr1ri6dORjN+pXly9fNlq3bm1EREQYnp6eRnh4uPHEE08YW7dudXXZyOdu9nvQjOnB857FMAwjd6MYAAAAANxZeEYJAAAAAEwISgAAAABgQlACAAAAABOCEgAAAACYEJQAAAAAwISgBAAAAAAmBCUAAAAAMCEoAQAAAIAJQQkAgFwSFRWlGTNmuLoMAMAtICgBAHJFcnKy/vWvf6lUqVLy8vJSiRIl1LJlSyUkJLi6tDyzbds2vfDCC64uAwBwCyyGYRiuLgIAULAkJiaqVq1aCgoK0tixY1W5cmVdu3ZN3377rebOnauff/7Z1SUCAHBDjCgBAJyud+/eslgs2rp1q9q2basyZcro/vvv18CBA7V582ZJUlJSkp588kn5+fkpICBA7dq108mTJ637GDNmjKpWrap58+apZMmS8vPz04svvqj09HRNnTpVYWFhCgkJ0YQJE2yObbFYNGvWLD3++OPy8fFRdHS0PvnkE5t1hg4dqjJlysjX11elSpXSyJEjde3aNZt1xo8fr5CQEPn7+6tHjx4aNmyYqlatal0eFxenVq1a6fXXX1d4eLiCg4PVp08fm/2Yb71LSUnRCy+8oJCQEAUEBKhBgwbavXv37V5uAEAuICgBAJzq7NmzWrFihfr06aPChQtnWR4UFCTDMNSqVSudPXtW69at08qVK3Xo0CG1b9/eZt1Dhw7pm2++0YoVK7Ro0SLNmzdPzZs317Fjx7Ru3TpNmTJFr7zyijV8ZRo5cqSeeuop7d69W507d1bHjh114MAB63J/f3/Fx8dr//79+s9//qN3331X06dPty7/6KOPNGHCBE2ZMkXbt29XyZIlNWvWrCznsmbNGh06dEhr1qzRggULFB8fr/j4+Gyvi2EYat68uZKTk7V8+XJt375d1atXV8OGDXX27FlHLjEAIC8YAAA40ZYtWwxJxtKlS3Nc57vvvjPc3NyMpKQka9u+ffsMScbWrVsNwzCM0aNHG76+vsb58+et6zRt2tSIiooy0tPTrW1ly5Y1Jk2aZH0vyejVq5fN8WrWrGm8+OKLOdYzdepU44EHHrBZv0+fPjbr1KpVy6hSpYr1fbdu3YzIyEjj+vXr1rann37aaN++vfV9ZGSkMX36dMMwDCMhIcEICAgwrly5YrPf++67z5gzZ06OtQEAXIMRJQCAUxn/9+irxWLJcZ0DBw6oRIkSKlGihLWtQoUKCgoKshn5iYqKkr+/v/V9aGioKlSooEKFCtm0nTp1ymb/jzzySJb3/9zv//73Pz366KMKCwuTn5+fRo4cqaSkJOvygwcP6qGHHrLZh/m9JN1///1yc3Ozvg8PD89SS6bt27fr4sWLCg4Olp+fn/V1+PBhHTp0KNttAACu4+7qAgAABUtMTIwsFosOHDigVq1aZbuOYRjZBilzu4eHh81yi8WSbVtGRsZN68rc7+bNm9WhQweNHTtWTZs2VWBgoBYvXqw33ngj2/X/WZuZI7VkZGQoPDxca9euzbIsKCjopvUDAPIWI0oAAKcqWrSomjZtqrfffluXLl3Ksvyvv/5ShQoVlJSUpKNHj1rb9+/fr5SUFJUvX/62azA/s7R582aVK1dOkvTDDz8oMjJSI0aMUI0aNRQTE6MjR47YrF+2bFlt3brVpu3HH3+8rZqqV6+u5ORkubu7q3Tp0javYsWK3da+AQDOR1ACADjdO++8o/T0dD300EP69NNP9euvv+rAgQN688039cgjj6hRo0aqXLmynnnmGe3YsUNbt25V165dVbduXdWoUeO2j//JJ59o3rx5+uWXXzR69Ght3bpVffv2lSSVLl1aSUlJWrx4sQ4dOqQ333xTn332mc32//rXv/T+++9rwYIF+vXXXzV+/Hjt2bPnhrcT3kyjRo30yCOPqFWrVvr222+VmJiojRs36pVXXrntEAYAcD6CEgDA6aKjo7Vjxw7Vr19fgwYNUsWKFdW4cWMlJCRo1qxZslgs+vzzz1WkSBHVqVNHjRo1UqlSpbRkyRKnHH/s2LFavHixKleurAULFuijjz5ShQoVJElPPvmkBgwYoL59+6pq1arauHGjRo4cabP9M888o+HDh2vw4MGqXr26Dh8+rLi4OHl7e99yTRaLRcuXL1edOnX07LPPqkyZMurQoYMSExMVGhp6W+cLAHA+PnAWAFCgWCwWffbZZzk+H3WrGjdurLCwMH3wwQdO3S8AIH9iMgcAAExSU1M1e/ZsNW3aVG5ublq0aJFWrVqllStXuro0AEAeISgBAGCSeZvc+PHjlZaWprJly+rTTz9Vo0aNXF0aACCPcOsdAAAAAJgwmQMAAAAAmBCUAAAAAMCEoAQAAAAAJgQlAAAAADAhKAEAAACACUEJAAAAAEwISgAAAABgQlACAAAAAJP/B6Wqs1Zt5t/EAAAAAElFTkSuQmCC", "text/plain": [ "
" ] @@ -3882,14 +4148,14 @@ " label_data = df_graph[df_graph['already_purchased'] == label]\n", " values = [label_data[label_data['number_compagny'] == category]['opt_in'].values[0]*100 for category in categories]\n", "\n", - " label_printed = \"purchased\" if label else \"no purchase\"\n", + " label_printed = \"client ayant déjà acheté\" if label else \"client n'ayant jamais acheté\"\n", " ax.bar(bar_positions, values, bar_width, label=label_printed)\n", "\n", " # Mise à jour des positions des barres pour le prochain groupe\n", " bar_positions = [pos + bar_width for pos in bar_positions]\n", "\n", "# Ajout des étiquettes, de la légende, etc.\n", - "ax.set_xlabel('Numero de compagnie')\n", + "ax.set_xlabel('Compagnie')\n", "ax.set_ylabel('Part de consentement (%)')\n", "ax.set_title('Part de consentement au mailing selon les compagnies')\n", "ax.set_xticks([pos + bar_width / 2 for pos in np.arange(len(categories))])\n", @@ -3902,7 +4168,33 @@ }, { "cell_type": "code", - "execution_count": 70, + "execution_count": 117, + "id": "af4d0d9c-0233-4af4-8fdf-83aa71c3ce9e", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# sauvegarde dans le MinIO\n", + "\n", + "FILE_NAME = \"consent_customers_music.png\"\n", + "FILE_PATH_OUT_S3 = FILE_PATH + FILE_NAME\n", + "\n", + "with fs.open(FILE_PATH_OUT_S3, 'wb') as file_out:\n", + " plt.savefig(file_out)" + ] + }, + { + "cell_type": "code", + "execution_count": 170, "id": "91b743c4-5473-41e1-b97e-cf06904f0fa8", "metadata": { "scrolled": true @@ -3939,61 +4231,61 @@ " 0\n", " 10\n", " 0.0\n", - " 22.681533\n", + " 55.896356\n", " \n", " \n", " 1\n", " 10\n", " 1.0\n", - " 45.617174\n", + " 50.795672\n", " \n", " \n", " 2\n", " 11\n", " 0.0\n", - " 8.681794\n", + " 4.856590\n", " \n", " \n", " 3\n", " 11\n", " 1.0\n", - " 0.034686\n", + " 0.046125\n", " \n", " \n", " 4\n", " 12\n", " 0.0\n", - " 38.730755\n", + " 37.098498\n", " \n", " \n", " 5\n", " 12\n", " 1.0\n", - " 0.046081\n", + " 0.021608\n", " \n", " \n", " 6\n", " 13\n", " 0.0\n", - " 12.596642\n", + " 32.457022\n", " \n", " \n", " 7\n", " 13\n", " 1.0\n", - " 16.709675\n", + " 19.461217\n", " \n", " \n", " 8\n", " 14\n", " 0.0\n", - " 77.789137\n", + " 69.470107\n", " \n", " \n", " 9\n", " 14\n", " 1.0\n", - " 17.561409\n", + " 26.682793\n", " \n", " \n", "\n", @@ -4001,19 +4293,19 @@ ], "text/plain": [ " number_company y_has_purchased opt_in\n", - "0 10 0.0 22.681533\n", - "1 10 1.0 45.617174\n", - "2 11 0.0 8.681794\n", - "3 11 1.0 0.034686\n", - "4 12 0.0 38.730755\n", - "5 12 1.0 0.046081\n", - "6 13 0.0 12.596642\n", - "7 13 1.0 16.709675\n", - "8 14 0.0 77.789137\n", - "9 14 1.0 17.561409" + "0 10 0.0 55.896356\n", + "1 10 1.0 50.795672\n", + "2 11 0.0 4.856590\n", + "3 11 1.0 0.046125\n", + "4 12 0.0 37.098498\n", + "5 12 1.0 0.021608\n", + "6 13 0.0 32.457022\n", + "7 13 1.0 19.461217\n", + "8 14 0.0 69.470107\n", + "9 14 1.0 26.682793" ] }, - "execution_count": 70, + "execution_count": 170, "metadata": {}, "output_type": "execute_result" } @@ -4028,7 +4320,7 @@ }, { "cell_type": "code", - "execution_count": 96, + "execution_count": 163, "id": "728e0021-4f95-4601-bb01-032db2cf6571", "metadata": {}, "outputs": [ @@ -4036,8 +4328,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "0.43578991448407206\n", - "0.2889600758160463\n" + "0.43006504592722195\n", + "0.2889608343987336\n" ] } ], @@ -4066,7 +4358,7 @@ }, { "cell_type": "code", - "execution_count": 76, + "execution_count": 164, "id": "e1d837e1-c445-424b-867a-48b1e790f703", "metadata": {}, "outputs": [ @@ -4075,17 +4367,17 @@ "output_type": "stream", "text": [ "genre = homme : \n", - "0.3175633912091978\n", - "0.3103916287323914\n", + "0.3754292890099192\n", + "0.3103924435775397\n", "email vérifié : \n", - "0.9581971527197163\n", - "0.9360131470484772\n", + "0.9966249488521722\n", + "0.936015604285403\n", "nationalité française : \n", - "0.8473746548562269\n", - "0.7573747808905485\n", + "0.7882316165225254\n", + "0.7573741156773128\n", "nbre d'achats : \n", - "2.925387603847428\n", - "1.968932616126136\n" + "1.7069010765735895\n", + "0.9938799646120849\n" ] } ], @@ -4112,13 +4404,13 @@ }, { "cell_type": "code", - "execution_count": 98, + "execution_count": 171, "id": "43deeeb5-8092-42fc-b80b-59d2c58093de", "metadata": {}, "outputs": [ { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -4135,6 +4427,40 @@ " title = \"Part de consentement au mailing selon les compagnies (train set)\")" ] }, + { + "cell_type": "code", + "execution_count": 172, + "id": "360047fc-70a4-4876-b0f1-c0af5cc93e17", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# save in the s3\n", + "\n", + "FILE_NAME = \"consent_customers_train_set_music.png\"\n", + "FILE_PATH_OUT_S3 = FILE_PATH + FILE_NAME\n", + "\n", + "with fs.open(FILE_PATH_OUT_S3, 'wb') as file_out:\n", + " plt.savefig(file_out)" + ] + }, + { + "cell_type": "markdown", + "id": "5fcff5cb-923b-44d7-b345-0bee89d30ea2", + "metadata": {}, + "source": [ + "#### Etude du genre" + ] + }, { "cell_type": "code", "execution_count": 79, @@ -4265,7 +4591,7 @@ }, { "cell_type": "code", - "execution_count": 82, + "execution_count": 174, "id": "c7348c95-e506-4002-90d9-d3b6768af985", "metadata": {}, "outputs": [ @@ -4303,91 +4629,91 @@ " 0\n", " 10\n", " 0.0\n", - " 0.171838\n", - " 0.333929\n", - " 0.494232\n", - " 66.024263\n", + " 0.140862\n", + " 0.288775\n", + " 0.570363\n", + " 67.213639\n", " \n", " \n", " 1\n", " 10\n", " 1.0\n", - " 0.312165\n", - " 0.683363\n", - " 0.004472\n", - " 68.643306\n", + " 0.284532\n", + " 0.714831\n", + " 0.000637\n", + " 71.528662\n", " \n", " \n", " 2\n", " 11\n", " 0.0\n", - " 0.151162\n", - " 0.273204\n", - " 0.575635\n", - " 64.379376\n", + " 0.289900\n", + " 0.512669\n", + " 0.197431\n", + " 63.878535\n", " \n", " \n", " 3\n", " 11\n", " 1.0\n", - " 0.328477\n", - " 0.597641\n", - " 0.073881\n", - " 64.531835\n", + " 0.321033\n", + " 0.609779\n", + " 0.069188\n", + " 65.510406\n", " \n", " \n", " 4\n", " 12\n", " 0.0\n", - " 0.334546\n", - " 0.433672\n", - " 0.231782\n", - " 56.451654\n", + " 0.357546\n", + " 0.470654\n", + " 0.171799\n", + " 56.828519\n", " \n", " \n", " 5\n", " 12\n", " 1.0\n", - " 0.366020\n", - " 0.506659\n", - " 0.127321\n", - " 58.057873\n", + " 0.396824\n", + " 0.494058\n", + " 0.109118\n", + " 55.457191\n", " \n", " \n", " 6\n", " 13\n", " 0.0\n", - " 0.314243\n", - " 0.503242\n", - " 0.182515\n", - " 61.559817\n", + " 0.363198\n", + " 0.492956\n", + " 0.143846\n", + " 57.577983\n", " \n", " \n", " 7\n", " 13\n", " 1.0\n", - " 0.351721\n", - " 0.504910\n", - " 0.143369\n", - " 58.941356\n", + " 0.379703\n", + " 0.516605\n", + " 0.103693\n", + " 57.637000\n", " \n", " \n", " 8\n", " 14\n", " 0.0\n", - " 0.317971\n", - " 0.296388\n", - " 0.385641\n", - " 48.243443\n", + " 0.447676\n", + " 0.443646\n", + " 0.108678\n", + " 49.773906\n", " \n", " \n", " 9\n", " 14\n", " 1.0\n", - " 0.451289\n", - " 0.485106\n", - " 0.063605\n", - " 51.805692\n", + " 0.487695\n", + " 0.471498\n", + " 0.040808\n", + " 49.155702\n", " \n", " \n", "\n", @@ -4395,31 +4721,31 @@ ], "text/plain": [ " number_company y_has_purchased gender_male gender_female gender_other \\\n", - "0 10 0.0 0.171838 0.333929 0.494232 \n", - "1 10 1.0 0.312165 0.683363 0.004472 \n", - "2 11 0.0 0.151162 0.273204 0.575635 \n", - "3 11 1.0 0.328477 0.597641 0.073881 \n", - "4 12 0.0 0.334546 0.433672 0.231782 \n", - "5 12 1.0 0.366020 0.506659 0.127321 \n", - "6 13 0.0 0.314243 0.503242 0.182515 \n", - "7 13 1.0 0.351721 0.504910 0.143369 \n", - "8 14 0.0 0.317971 0.296388 0.385641 \n", - "9 14 1.0 0.451289 0.485106 0.063605 \n", + "0 10 0.0 0.140862 0.288775 0.570363 \n", + "1 10 1.0 0.284532 0.714831 0.000637 \n", + "2 11 0.0 0.289900 0.512669 0.197431 \n", + "3 11 1.0 0.321033 0.609779 0.069188 \n", + "4 12 0.0 0.357546 0.470654 0.171799 \n", + "5 12 1.0 0.396824 0.494058 0.109118 \n", + "6 13 0.0 0.363198 0.492956 0.143846 \n", + "7 13 1.0 0.379703 0.516605 0.103693 \n", + "8 14 0.0 0.447676 0.443646 0.108678 \n", + "9 14 1.0 0.487695 0.471498 0.040808 \n", "\n", " share_of_women \n", - "0 66.024263 \n", - "1 68.643306 \n", - "2 64.379376 \n", - "3 64.531835 \n", - "4 56.451654 \n", - "5 58.057873 \n", - "6 61.559817 \n", - "7 58.941356 \n", - "8 48.243443 \n", - "9 51.805692 " + "0 67.213639 \n", + "1 71.528662 \n", + "2 63.878535 \n", + "3 65.510406 \n", + "4 56.828519 \n", + "5 55.457191 \n", + "6 57.577983 \n", + "7 57.637000 \n", + "8 49.773906 \n", + "9 49.155702 " ] }, - "execution_count": 82, + "execution_count": 174, "metadata": {}, "output_type": "execute_result" } @@ -4432,13 +4758,13 @@ }, { "cell_type": "code", - "execution_count": 84, + "execution_count": 175, "id": "b36e5a8f-45dc-4b74-8137-80b7e916aa84", "metadata": {}, "outputs": [ { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -4458,7 +4784,41 @@ }, { "cell_type": "code", - "execution_count": 87, + "execution_count": 176, + "id": "17992ceb-b68b-4035-8d48-279b645bc425", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# save in the s3\n", + "\n", + "FILE_NAME = \"gender_train_set_music.png\"\n", + "FILE_PATH_OUT_S3 = FILE_PATH + FILE_NAME\n", + "\n", + "with fs.open(FILE_PATH_OUT_S3, 'wb') as file_out:\n", + " plt.savefig(file_out)" + ] + }, + { + "cell_type": "markdown", + "id": "9504e6b6-d97c-4aa9-a56a-f9f97264be05", + "metadata": {}, + "source": [ + "#### Etude du pays d'origine" + ] + }, + { + "cell_type": "code", + "execution_count": 177, "id": "ed6374e5-f36c-4f8e-9dba-602715b726f1", "metadata": {}, "outputs": [ @@ -4506,7 +4866,7 @@ " \n", " 3\n", " 13\n", - " 0.831795\n", + " 0.831794\n", " \n", " \n", " 4\n", @@ -4522,11 +4882,11 @@ "0 10 0.996136\n", "1 11 0.994838\n", "2 12 0.002119\n", - "3 13 0.831795\n", + "3 13 0.831794\n", "4 14 0.993978" ] }, - "execution_count": 87, + "execution_count": 177, "metadata": {}, "output_type": "execute_result" } @@ -4540,7 +4900,7 @@ }, { "cell_type": "code", - "execution_count": 88, + "execution_count": 178, "id": "8d95cdd9-2ab3-4c9a-8442-bb9b98e0dd18", "metadata": {}, "outputs": [ @@ -4570,7 +4930,7 @@ }, { "cell_type": "code", - "execution_count": 90, + "execution_count": 179, "id": "b459f81f-6d30-44fa-ad65-e85acbf12fd2", "metadata": {}, "outputs": [ @@ -4605,61 +4965,61 @@ " 0\n", " 10\n", " 0.0\n", - " 99.542095\n", + " 99.833259\n", " \n", " \n", " 1\n", " 10\n", " 1.0\n", - " 99.909747\n", + " 99.935317\n", " \n", " \n", " 2\n", " 11\n", " 0.0\n", - " 99.543280\n", + " 99.486493\n", " \n", " \n", " 3\n", " 11\n", " 1.0\n", - " 99.501602\n", + " 99.808521\n", " \n", " \n", " 4\n", " 12\n", " 0.0\n", - " 0.156470\n", + " 0.155933\n", " \n", " \n", " 5\n", " 12\n", " 1.0\n", - " 0.265579\n", + " 0.079799\n", " \n", " \n", " 6\n", " 13\n", " 0.0\n", - " 84.389610\n", + " 82.894264\n", " \n", " \n", " 7\n", " 13\n", " 1.0\n", - " 77.596741\n", + " 94.744832\n", " \n", " \n", " 8\n", " 14\n", " 0.0\n", - " 99.520205\n", + " 99.238475\n", " \n", " \n", " 9\n", " 14\n", " 1.0\n", - " 98.471506\n", + " 99.032154\n", " \n", " \n", "\n", @@ -4667,19 +5027,19 @@ ], "text/plain": [ " number_company y_has_purchased country_fr\n", - "0 10 0.0 99.542095\n", - "1 10 1.0 99.909747\n", - "2 11 0.0 99.543280\n", - "3 11 1.0 99.501602\n", - "4 12 0.0 0.156470\n", - "5 12 1.0 0.265579\n", - "6 13 0.0 84.389610\n", - "7 13 1.0 77.596741\n", - "8 14 0.0 99.520205\n", - "9 14 1.0 98.471506" + "0 10 0.0 99.833259\n", + "1 10 1.0 99.935317\n", + "2 11 0.0 99.486493\n", + "3 11 1.0 99.808521\n", + "4 12 0.0 0.155933\n", + "5 12 1.0 0.079799\n", + "6 13 0.0 82.894264\n", + "7 13 1.0 94.744832\n", + "8 14 0.0 99.238475\n", + "9 14 1.0 99.032154" ] }, - "execution_count": 90, + "execution_count": 179, "metadata": {}, "output_type": "execute_result" } @@ -4694,13 +5054,13 @@ }, { "cell_type": "code", - "execution_count": 92, + "execution_count": 180, "id": "4a037b48-1d65-4ed3-a012-7d6f5a312533", "metadata": {}, "outputs": [ { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -4718,6 +5078,32 @@ " title = \"Part de clients français des compagnies de spectacle (train set)\")" ] }, + { + "cell_type": "code", + "execution_count": 181, + "id": "01897a11-675e-49bf-aee2-44e2dd1f6c36", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# save in the s3\n", + "\n", + "FILE_NAME = \"nationality_fr_train_set_music.png\"\n", + "FILE_PATH_OUT_S3 = FILE_PATH + FILE_NAME\n", + "\n", + "with fs.open(FILE_PATH_OUT_S3, 'wb') as file_out:\n", + " plt.savefig(file_out)" + ] + }, { "cell_type": "markdown", "id": "ecfd112e-270a-4223-b80f-7e95e57d199d", @@ -4761,9 +5147,17 @@ "campaigns_information_spectacle.isna().sum()" ] }, + { + "cell_type": "markdown", + "id": "47c15a1d-bef8-4105-87f3-607958667569", + "metadata": {}, + "source": [ + "#### Part de clients n'ouvrant jamais les mails" + ] + }, { "cell_type": "code", - "execution_count": 192, + "execution_count": 182, "id": "de1ecaac-25bb-4853-b8ab-3ef2ca6917ed", "metadata": {}, "outputs": [ @@ -4931,7 +5325,7 @@ "[688953 rows x 6 columns]" ] }, - "execution_count": 192, + "execution_count": 182, "metadata": {}, "output_type": "execute_result" } @@ -4945,7 +5339,7 @@ }, { "cell_type": "code", - "execution_count": 197, + "execution_count": 183, "id": "b5a0060f-a9dd-435b-844f-b24674b8bc27", "metadata": {}, "outputs": [ @@ -5013,7 +5407,7 @@ "4 14 0.428148" ] }, - "execution_count": 197, + "execution_count": 183, "metadata": {}, "output_type": "execute_result" } @@ -5025,7 +5419,7 @@ }, { "cell_type": "code", - "execution_count": 198, + "execution_count": 184, "id": "788c90e0-f13a-4804-ace7-e5159fddd7fd", "metadata": {}, "outputs": [ @@ -5053,9 +5447,17 @@ "plt.show()" ] }, + { + "cell_type": "markdown", + "id": "33233fb9-707d-44c0-80e2-a131756110a1", + "metadata": {}, + "source": [ + "#### Taux d'ouverture des campagnes de mails" + ] + }, { "cell_type": "code", - "execution_count": 203, + "execution_count": 185, "id": "c48015c2-6451-4089-93b7-6d55d3b2e553", "metadata": {}, "outputs": [ @@ -5135,7 +5537,7 @@ "4 14 2427043 723846.0 0.298242" ] }, - "execution_count": 203, + "execution_count": 185, "metadata": {}, "output_type": "execute_result" } @@ -5150,20 +5552,19 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 186, "id": "d06ab865-4832-4fe9-918b-e5ff72bebee4", "metadata": {}, "outputs": [ { - "ename": "NameError", - "evalue": "name 'company_campaigns_stats' is not defined", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[0;32mIn[15], line 2\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[38;5;66;03m# Création du barplot\u001b[39;00m\n\u001b[0;32m----> 2\u001b[0m plt\u001b[38;5;241m.\u001b[39mbar(\u001b[43mcompany_campaigns_stats\u001b[49m[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mnumber_compagny\u001b[39m\u001b[38;5;124m\"\u001b[39m], \u001b[38;5;241m100\u001b[39m \u001b[38;5;241m*\u001b[39m company_campaigns_stats[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mratio_campaigns_opened\u001b[39m\u001b[38;5;124m\"\u001b[39m])\n\u001b[1;32m 4\u001b[0m \u001b[38;5;66;03m# Ajout de titres et d'étiquettes\u001b[39;00m\n\u001b[1;32m 5\u001b[0m plt\u001b[38;5;241m.\u001b[39mxlabel(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mCompany\u001b[39m\u001b[38;5;124m'\u001b[39m)\n", - "\u001b[0;31mNameError\u001b[0m: name 'company_campaigns_stats' is not defined" - ] + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" } ], "source": [ @@ -5181,7 +5582,7 @@ }, { "cell_type": "code", - "execution_count": 219, + "execution_count": 187, "id": "5c37e063-a717-4a8c-828e-b386b87e8409", "metadata": {}, "outputs": [ @@ -5221,7 +5622,41 @@ }, { "cell_type": "code", - "execution_count": 102, + "execution_count": 188, + "id": "f1b1e6fe-9006-487a-a8a6-9dd8ce15ace1", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# save in the s3\n", + "\n", + "FILE_NAME = \"stats_mail_opening_music.png\"\n", + "FILE_PATH_OUT_S3 = FILE_PATH + FILE_NAME\n", + "\n", + "with fs.open(FILE_PATH_OUT_S3, 'wb') as file_out:\n", + " plt.savefig(file_out)" + ] + }, + { + "cell_type": "markdown", + "id": "638ab84b-15a5-4e70-b140-f121c68c82f5", + "metadata": {}, + "source": [ + "#### on refait les mêmes stats sur le train set" + ] + }, + { + "cell_type": "code", + "execution_count": 189, "id": "4fdf4134-d32c-42c3-ab4f-36ad4783332c", "metadata": {}, "outputs": [ @@ -5272,15 +5707,63 @@ " \n", " \n", " 0\n", - " 10_299341\n", + " 10_492779\n", " 0.0\n", " 0.0\n", " 0.0\n", " 0.0\n", " 0.0\n", - " NaN\n", - " NaN\n", - " NaN\n", + " 550.0\n", + " 550.0\n", + " -1.0\n", + " 0.0\n", + " ...\n", + " female\n", + " 1\n", + " 0\n", + " 0\n", + " 1.0\n", + " 13.0\n", + " 4.0\n", + " 8 days 04:08:27\n", + " 0.0\n", + " 10\n", + " \n", + " \n", + " 1\n", + " 10_563424\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 550.0\n", + " 550.0\n", + " -1.0\n", + " 0.0\n", + " ...\n", + " other\n", + " 0\n", + " 0\n", + " 1\n", + " 1.0\n", + " 10.0\n", + " 9.0\n", + " 0 days 01:39:58.555555555\n", + " 0.0\n", + " 10\n", + " \n", + " \n", + " 2\n", + " 10_44369\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 550.0\n", + " 550.0\n", + " -1.0\n", " 0.0\n", " ...\n", " male\n", @@ -5288,55 +5771,7 @@ " 1\n", " 0\n", " 1.0\n", - " 12.0\n", - " 3.0\n", - " 0 days 05:47:26.333333333\n", - " 0.0\n", - " 10\n", - " \n", - " \n", - " 1\n", - " 10_63788\n", - " 3.0\n", - " 2.0\n", - " 62.0\n", - " 1.0\n", - " 1.0\n", - " 393.205891\n", - " 281.017639\n", - " 112.188252\n", - " 3.0\n", - " ...\n", - " female\n", - " 1\n", - " 0\n", - " 0\n", - " 1.0\n", - " 3.0\n", - " 1.0\n", - " 0 days 05:13:51\n", - " 1.0\n", - " 10\n", - " \n", - " \n", - " 2\n", - " 10_759946\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", - " NaN\n", - " NaN\n", - " NaN\n", - " 0.0\n", - " ...\n", - " other\n", - " 0\n", - " 0\n", - " 1\n", - " NaN\n", - " 0.0\n", + " 14.0\n", " 0.0\n", " NaN\n", " 0.0\n", @@ -5344,39 +5779,15 @@ " \n", " \n", " 3\n", - " 10_20653\n", + " 10_620271\n", " 0.0\n", " 0.0\n", " 0.0\n", " 0.0\n", " 0.0\n", - " NaN\n", - " NaN\n", - " NaN\n", - " 0.0\n", - " ...\n", - " male\n", - " 0\n", - " 1\n", - " 0\n", - " 1.0\n", - " 11.0\n", - " 10.0\n", - " 1 days 00:45:54\n", - " 0.0\n", - " 10\n", - " \n", - " \n", - " 4\n", - " 10_824705\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", - " NaN\n", - " NaN\n", - " NaN\n", + " 550.0\n", + " 550.0\n", + " -1.0\n", " 0.0\n", " ...\n", " other\n", @@ -5384,7 +5795,31 @@ " 0\n", " 1\n", " NaN\n", + " 9.0\n", " 0.0\n", + " NaN\n", + " 0.0\n", + " 10\n", + " \n", + " \n", + " 4\n", + " 10_687644\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 550.0\n", + " 550.0\n", + " -1.0\n", + " 0.0\n", + " ...\n", + " other\n", + " 0\n", + " 0\n", + " 1\n", + " NaN\n", + " 4.0\n", " 0.0\n", " NaN\n", " 0.0\n", @@ -5397,38 +5832,38 @@ ], "text/plain": [ " customer_id nb_tickets nb_purchases total_amount nb_suppliers \\\n", - "0 10_299341 0.0 0.0 0.0 0.0 \n", - "1 10_63788 3.0 2.0 62.0 1.0 \n", - "2 10_759946 0.0 0.0 0.0 0.0 \n", - "3 10_20653 0.0 0.0 0.0 0.0 \n", - "4 10_824705 0.0 0.0 0.0 0.0 \n", + "0 10_492779 0.0 0.0 0.0 0.0 \n", + "1 10_563424 0.0 0.0 0.0 0.0 \n", + "2 10_44369 0.0 0.0 0.0 0.0 \n", + "3 10_620271 0.0 0.0 0.0 0.0 \n", + "4 10_687644 0.0 0.0 0.0 0.0 \n", "\n", " vente_internet_max purchase_date_min purchase_date_max \\\n", - "0 0.0 NaN NaN \n", - "1 1.0 393.205891 281.017639 \n", - "2 0.0 NaN NaN \n", - "3 0.0 NaN NaN \n", - "4 0.0 NaN NaN \n", + "0 0.0 550.0 550.0 \n", + "1 0.0 550.0 550.0 \n", + "2 0.0 550.0 550.0 \n", + "3 0.0 550.0 550.0 \n", + "4 0.0 550.0 550.0 \n", "\n", " time_between_purchase nb_tickets_internet ... gender_label \\\n", - "0 NaN 0.0 ... male \n", - "1 112.188252 3.0 ... female \n", - "2 NaN 0.0 ... other \n", - "3 NaN 0.0 ... male \n", - "4 NaN 0.0 ... other \n", + "0 -1.0 0.0 ... female \n", + "1 -1.0 0.0 ... other \n", + "2 -1.0 0.0 ... male \n", + "3 -1.0 0.0 ... other \n", + "4 -1.0 0.0 ... other \n", "\n", " gender_female gender_male gender_other country_fr nb_campaigns \\\n", - "0 0 1 0 1.0 12.0 \n", - "1 1 0 0 1.0 3.0 \n", - "2 0 0 1 NaN 0.0 \n", - "3 0 1 0 1.0 11.0 \n", - "4 0 0 1 NaN 0.0 \n", + "0 1 0 0 1.0 13.0 \n", + "1 0 0 1 1.0 10.0 \n", + "2 0 1 0 1.0 14.0 \n", + "3 0 0 1 NaN 9.0 \n", + "4 0 0 1 NaN 4.0 \n", "\n", " nb_campaigns_opened time_to_open y_has_purchased \\\n", - "0 3.0 0 days 05:47:26.333333333 0.0 \n", - "1 1.0 0 days 05:13:51 1.0 \n", + "0 4.0 8 days 04:08:27 0.0 \n", + "1 9.0 0 days 01:39:58.555555555 0.0 \n", "2 0.0 NaN 0.0 \n", - "3 10.0 1 days 00:45:54 0.0 \n", + "3 0.0 NaN 0.0 \n", "4 0.0 NaN 0.0 \n", "\n", " number_company \n", @@ -5441,7 +5876,7 @@ "[5 rows x 41 columns]" ] }, - "execution_count": 102, + "execution_count": 189, "metadata": {}, "output_type": "execute_result" } @@ -5452,9 +5887,17 @@ "train_set_spectacle.head()" ] }, + { + "cell_type": "markdown", + "id": "924300e5-d6a9-4686-a938-f5f99afda70c", + "metadata": {}, + "source": [ + "#### Part de clients n'ouvrant aucun mail" + ] + }, { "cell_type": "code", - "execution_count": 105, + "execution_count": 190, "id": "14ff9886-742c-4a60-8824-5d31f7c76aea", "metadata": {}, "outputs": [], @@ -5464,7 +5907,7 @@ }, { "cell_type": "code", - "execution_count": 108, + "execution_count": 191, "id": "16285593-a0fa-461c-aeb8-c64ffdf9a0d6", "metadata": {}, "outputs": [ @@ -5499,25 +5942,25 @@ " 0\n", " 10\n", " 0.0\n", - " 91.227517\n", + " 73.553379\n", " \n", " \n", " 1\n", " 10\n", " 1.0\n", - " 62.343470\n", + " 35.582432\n", " \n", " \n", " 2\n", " 11\n", " 0.0\n", - " 84.608320\n", + " 42.609537\n", " \n", " \n", " 3\n", " 11\n", " 1.0\n", - " 78.598682\n", + " 32.887454\n", " \n", " \n", " 4\n", @@ -5535,25 +5978,25 @@ " 6\n", " 13\n", " 0.0\n", - " 90.124799\n", + " 68.335897\n", " \n", " \n", " 7\n", " 13\n", " 1.0\n", - " 94.158651\n", + " 52.833256\n", " \n", " \n", " 8\n", " 14\n", " 0.0\n", - " 72.903385\n", + " 44.334881\n", " \n", " \n", " 9\n", " 14\n", " 1.0\n", - " 73.549517\n", + " 28.807320\n", " \n", " \n", "\n", @@ -5561,19 +6004,19 @@ ], "text/plain": [ " number_company y_has_purchased no_campaign_opened\n", - "0 10 0.0 91.227517\n", - "1 10 1.0 62.343470\n", - "2 11 0.0 84.608320\n", - "3 11 1.0 78.598682\n", + "0 10 0.0 73.553379\n", + "1 10 1.0 35.582432\n", + "2 11 0.0 42.609537\n", + "3 11 1.0 32.887454\n", "4 12 0.0 100.000000\n", "5 12 1.0 100.000000\n", - "6 13 0.0 90.124799\n", - "7 13 1.0 94.158651\n", - "8 14 0.0 72.903385\n", - "9 14 1.0 73.549517" + "6 13 0.0 68.335897\n", + "7 13 1.0 52.833256\n", + "8 14 0.0 44.334881\n", + "9 14 1.0 28.807320" ] }, - "execution_count": 108, + "execution_count": 191, "metadata": {}, "output_type": "execute_result" } @@ -5586,13 +6029,13 @@ }, { "cell_type": "code", - "execution_count": 110, + "execution_count": 195, "id": "d35f00e3-b9b0-42b3-9dce-785c1ad5506c", "metadata": {}, "outputs": [ { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -5602,12 +6045,48 @@ } ], "source": [ + "# graphic for non opening mails customers for music companies (train set)\n", + "\n", "multiple_barplot(company_lazy_customers, x=\"number_company\", y=\"no_campaign_opened\", var_labels=\"y_has_purchased\",\n", " dico_labels = {0 : \"aucun achat\", 1 : \"achat durant la période\"},\n", - " xlabel = \"Numéro de compagnie\", ylabel = \"Part de clients n'ayant ouvert aucun mail (%)\", \n", + " xlabel = \"Compagnie\", ylabel = \"Part de clients n'ayant ouvert aucun mail (%)\", \n", " title = \"Part de clients des compagnies de spectacle n'ouvrant aucun mail (train set)\")" ] }, + { + "cell_type": "code", + "execution_count": 196, + "id": "1a6e969e-10c1-4593-a16f-82c9f83a517e", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# save in the s3\n", + "\n", + "FILE_NAME = \"no_mail_opened_train_set_music.png\"\n", + "FILE_PATH_OUT_S3 = FILE_PATH + FILE_NAME\n", + "\n", + "with fs.open(FILE_PATH_OUT_S3, 'wb') as file_out:\n", + " plt.savefig(file_out)" + ] + }, + { + "cell_type": "markdown", + "id": "f3407307-7cc1-4f57-a3ae-7c83773b4b81", + "metadata": {}, + "source": [ + "#### Part globale de mails ouverts pour chaque compagnie" + ] + }, { "cell_type": "code", "execution_count": 111, @@ -6023,7 +6502,7 @@ }, { "cell_type": "code", - "execution_count": 112, + "execution_count": 197, "id": "dc8cfd36-0eb2-4ef3-877d-626fd0a9ced4", "metadata": {}, "outputs": [ @@ -6103,7 +6582,7 @@ "4 14 2427043 723846.0 0.298242" ] }, - "execution_count": 112, + "execution_count": 197, "metadata": {}, "output_type": "execute_result" } @@ -6118,7 +6597,7 @@ }, { "cell_type": "code", - "execution_count": 119, + "execution_count": 198, "id": "30b28426-088a-4153-b2aa-c20f11b2b771", "metadata": {}, "outputs": [ @@ -6155,33 +6634,33 @@ " 0\n", " 10\n", " 0.0\n", - " 61668.0\n", - " 8240.0\n", - " 13.361873\n", + " 143960.0\n", + " 18472.0\n", + " 12.831342\n", " \n", " \n", " 1\n", " 10\n", " 1.0\n", - " 4361.0\n", - " 2002.0\n", - " 45.906902\n", + " 10609.0\n", + " 5177.0\n", + " 48.798190\n", " \n", " \n", " 2\n", " 11\n", " 0.0\n", - " 37799.0\n", - " 12286.0\n", - " 32.503505\n", + " 84676.0\n", + " 27658.0\n", + " 32.663328\n", " \n", " \n", " 3\n", " 11\n", " 1.0\n", - " 8824.0\n", - " 4493.0\n", - " 50.917951\n", + " 20848.0\n", + " 10927.0\n", + " 52.412701\n", " \n", " \n", " 4\n", @@ -6203,33 +6682,33 @@ " 6\n", " 13\n", " 0.0\n", - " 505008.0\n", - " 118071.0\n", - " 23.380026\n", + " 1182992.0\n", + " 275366.0\n", + " 23.277080\n", " \n", " \n", " 7\n", " 13\n", " 1.0\n", - " 45824.0\n", - " 17233.0\n", - " 37.606931\n", + " 107160.0\n", + " 41244.0\n", + " 38.488242\n", " \n", " \n", " 8\n", " 14\n", " 0.0\n", - " 1176373.0\n", - " 313379.0\n", - " 26.639425\n", + " 822836.0\n", + " 219220.0\n", + " 26.642004\n", " \n", " \n", " 9\n", " 14\n", " 1.0\n", - " 129157.0\n", - " 47987.0\n", - " 37.154006\n", + " 92099.0\n", + " 34256.0\n", + " 37.194758\n", " \n", " \n", "\n", @@ -6237,31 +6716,31 @@ ], "text/plain": [ " number_company y_has_purchased nb_campaigns nb_campaigns_opened \\\n", - "0 10 0.0 61668.0 8240.0 \n", - "1 10 1.0 4361.0 2002.0 \n", - "2 11 0.0 37799.0 12286.0 \n", - "3 11 1.0 8824.0 4493.0 \n", + "0 10 0.0 143960.0 18472.0 \n", + "1 10 1.0 10609.0 5177.0 \n", + "2 11 0.0 84676.0 27658.0 \n", + "3 11 1.0 20848.0 10927.0 \n", "4 12 0.0 0.0 0.0 \n", "5 12 1.0 0.0 0.0 \n", - "6 13 0.0 505008.0 118071.0 \n", - "7 13 1.0 45824.0 17233.0 \n", - "8 14 0.0 1176373.0 313379.0 \n", - "9 14 1.0 129157.0 47987.0 \n", + "6 13 0.0 1182992.0 275366.0 \n", + "7 13 1.0 107160.0 41244.0 \n", + "8 14 0.0 822836.0 219220.0 \n", + "9 14 1.0 92099.0 34256.0 \n", "\n", " perc_campaigns_opened \n", - "0 13.361873 \n", - "1 45.906902 \n", - "2 32.503505 \n", - "3 50.917951 \n", + "0 12.831342 \n", + "1 48.798190 \n", + "2 32.663328 \n", + "3 52.412701 \n", "4 NaN \n", "5 NaN \n", - "6 23.380026 \n", - "7 37.606931 \n", - "8 26.639425 \n", - "9 37.154006 " + "6 23.277080 \n", + "7 38.488242 \n", + "8 26.642004 \n", + "9 37.194758 " ] }, - "execution_count": 119, + "execution_count": 198, "metadata": {}, "output_type": "execute_result" } @@ -6274,7 +6753,7 @@ }, { "cell_type": "code", - "execution_count": 120, + "execution_count": 199, "id": "9cebe912-fce1-4f4f-9d87-9649605296c8", "metadata": {}, "outputs": [ @@ -6311,65 +6790,65 @@ " 0\n", " 10\n", " 0.0\n", - " 61668.0\n", - " 8240.0\n", - " 13.361873\n", + " 143960.0\n", + " 18472.0\n", + " 12.831342\n", " \n", " \n", " 1\n", " 10\n", " 1.0\n", - " 4361.0\n", - " 2002.0\n", - " 45.906902\n", + " 10609.0\n", + " 5177.0\n", + " 48.798190\n", " \n", " \n", " 2\n", " 11\n", " 0.0\n", - " 37799.0\n", - " 12286.0\n", - " 32.503505\n", + " 84676.0\n", + " 27658.0\n", + " 32.663328\n", " \n", " \n", " 3\n", " 11\n", " 1.0\n", - " 8824.0\n", - " 4493.0\n", - " 50.917951\n", + " 20848.0\n", + " 10927.0\n", + " 52.412701\n", " \n", " \n", " 6\n", " 13\n", " 0.0\n", - " 505008.0\n", - " 118071.0\n", - " 23.380026\n", + " 1182992.0\n", + " 275366.0\n", + " 23.277080\n", " \n", " \n", " 7\n", " 13\n", " 1.0\n", - " 45824.0\n", - " 17233.0\n", - " 37.606931\n", + " 107160.0\n", + " 41244.0\n", + " 38.488242\n", " \n", " \n", " 8\n", " 14\n", " 0.0\n", - " 1176373.0\n", - " 313379.0\n", - " 26.639425\n", + " 822836.0\n", + " 219220.0\n", + " 26.642004\n", " \n", " \n", " 9\n", " 14\n", " 1.0\n", - " 129157.0\n", - " 47987.0\n", - " 37.154006\n", + " 92099.0\n", + " 34256.0\n", + " 37.194758\n", " \n", " \n", "\n", @@ -6377,27 +6856,27 @@ ], "text/plain": [ " number_company y_has_purchased nb_campaigns nb_campaigns_opened \\\n", - "0 10 0.0 61668.0 8240.0 \n", - "1 10 1.0 4361.0 2002.0 \n", - "2 11 0.0 37799.0 12286.0 \n", - "3 11 1.0 8824.0 4493.0 \n", - "6 13 0.0 505008.0 118071.0 \n", - "7 13 1.0 45824.0 17233.0 \n", - "8 14 0.0 1176373.0 313379.0 \n", - "9 14 1.0 129157.0 47987.0 \n", + "0 10 0.0 143960.0 18472.0 \n", + "1 10 1.0 10609.0 5177.0 \n", + "2 11 0.0 84676.0 27658.0 \n", + "3 11 1.0 20848.0 10927.0 \n", + "6 13 0.0 1182992.0 275366.0 \n", + "7 13 1.0 107160.0 41244.0 \n", + "8 14 0.0 822836.0 219220.0 \n", + "9 14 1.0 92099.0 34256.0 \n", "\n", " perc_campaigns_opened \n", - "0 13.361873 \n", - "1 45.906902 \n", - "2 32.503505 \n", - "3 50.917951 \n", - "6 23.380026 \n", - "7 37.606931 \n", - "8 26.639425 \n", - "9 37.154006 " + "0 12.831342 \n", + "1 48.798190 \n", + "2 32.663328 \n", + "3 52.412701 \n", + "6 23.277080 \n", + "7 38.488242 \n", + "8 26.642004 \n", + "9 37.194758 " ] }, - "execution_count": 120, + "execution_count": 199, "metadata": {}, "output_type": "execute_result" } @@ -6409,13 +6888,13 @@ }, { "cell_type": "code", - "execution_count": 123, + "execution_count": 201, "id": "8418531b-4f30-4d96-8035-f3630c789d6f", "metadata": {}, "outputs": [ { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -6425,16 +6904,46 @@ } ], "source": [ + "# graphic - overall rate of opened mails (train set for music companies)\n", + "\n", "multiple_barplot(company_campaigns_stats, x=\"number_company\", y=\"perc_campaigns_opened\", var_labels=\"y_has_purchased\",\n", " dico_labels = {0 : \"clients n'ayant pas acheté\", 1 : \"clients ayant acheté sur la période\"},\n", - " xlabel = \"Numéro de compagnie\", ylabel = \"Part de mails ouverts (%)\", \n", + " xlabel = \"Compagnie\", ylabel = \"Part de mails ouverts (%)\", \n", " title = \"Taux d'ouverture global des mails envoyés par les compagnies de spectacle (train set)\")" ] }, + { + "cell_type": "code", + "execution_count": 202, + "id": "1c32cd86-e08d-4b8a-90f1-27ad0df0ffeb", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# save in the s3\n", + "\n", + "FILE_NAME = \"overall_mail_opening_train_set_music.png\"\n", + "FILE_PATH_OUT_S3 = FILE_PATH + FILE_NAME\n", + "\n", + "with fs.open(FILE_PATH_OUT_S3, 'wb') as file_out:\n", + " plt.savefig(file_out)" + ] + }, { "cell_type": "markdown", "id": "783f6fb2-5f26-42a9-a22d-f4ece44bfaf2", - "metadata": {}, + "metadata": { + "jp-MarkdownHeadingCollapsed": true + }, "source": [ "### 3. products_purchased_reduced" ]