diff --git a/0_KPI_functions.py b/0_KPI_functions.py index 519bcec..3073f3e 100644 --- a/0_KPI_functions.py +++ b/0_KPI_functions.py @@ -107,7 +107,7 @@ def customerplus_kpi_function(customerplus_clean = None): customerplus_clean["country_fr"] = customerplus_clean["country"].apply(lambda x : int(x=="fr") if pd.notna(x) else np.nan) # Dummy if the customer has a structure id (tags) - customerplus_clean['has_tags'] = customerplus_clean['structure_id'].apply(lambda x: 1 if not pd.isna(x) else 0) + # customerplus_clean['has_tags'] = customerplus_clean['structure_id'].apply(lambda x: 1 if not pd.isna(x) else 0) return customerplus_clean \ No newline at end of file diff --git a/1_Descriptive_Statistics_Museum.ipynb b/1_Descriptive_Statistics_Museum.ipynb index e41b622..d21b7b4 100644 --- a/1_Descriptive_Statistics_Museum.ipynb +++ b/1_Descriptive_Statistics_Museum.ipynb @@ -50,15 +50,15 @@ "exec(open('0_KPI_functions.py').read())\n", "\n", "# Useful functions :\n", - "# display_databases(directory_path, file_name = ['customerplus_cleaned', 'target_information', 'campaigns_information', 'products_purchased_reduced'], datetime_col = None)\n", - "# campaigns_kpi_function(campaigns_information = None)\n", - "# tickets_kpi_function(tickets_information = None)\n", - "# customerplus_kpi_function(customerplus_clean = None)" + " # display_databases(directory_path, file_name = ['customerplus_cleaned', 'target_information', 'campaigns_information', 'products_purchased_reduced'], datetime_col = None)\n", + " # campaigns_kpi_function(campaigns_information = None)\n", + " # tickets_kpi_function(tickets_information = None)\n", + " # customerplus_kpi_function(customerplus_clean = None)" ] }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 4, "id": "c60505f4-b95b-4c61-b842-26b27af7e280", "metadata": {}, "outputs": [], @@ -94,14 +94,16 @@ { "cell_type": "markdown", "id": "ae3c0c33-55a7-4a28-9a62-3ce13496917a", - "metadata": {}, + "metadata": { + "jp-MarkdownHeadingCollapsed": true + }, "source": [ "# 0 - Specificité de la company 101" ] }, { "cell_type": "code", - "execution_count": 41, + "execution_count": 33, "id": "f8a8dedc-2f67-407c-9bbf-f70d236fc783", "metadata": {}, "outputs": [ @@ -127,12 +129,812 @@ " \n", " \n", " id\n", + " name\n", + " created_at\n", + " updated_at\n", + " street_id\n", + " fixed_capacity\n", + " \n", + " \n", + " \n", + " \n", + " 26\n", + " 1\n", + " atelier des lumieres\n", + " 2020-10-12 08:57:27.783770+02:00\n", + " 2020-10-12 08:57:27.783770+02:00\n", + " 1\n", + " NaN\n", + " \n", + " \n", + " 17\n", + " 14007\n", + " fabrique des lumieres\n", + " 2022-05-17 09:11:19.416106+02:00\n", + " 2022-05-17 09:11:19.416106+02:00\n", + " 2\n", + " NaN\n", + " \n", + " \n", + " 32\n", + " 2\n", + " non défini\n", + " 2020-10-12 08:57:27.785329+02:00\n", + " 2020-10-12 08:57:27.785329+02:00\n", + " 2\n", + " NaN\n", + " \n", + " \n", + " 10\n", + " 10755\n", + " NaN\n", + " 2022-01-28 12:07:16.602885+01:00\n", + " 2022-01-28 12:07:16.602885+01:00\n", + " 2\n", + " NaN\n", + " \n", + " \n", + " 16\n", + " 13583\n", + " hôtel de caumont\n", + " 2022-05-13 10:59:06.829576+02:00\n", + " 2022-05-13 10:59:06.829576+02:00\n", + " 859\n", + " NaN\n", + " \n", + " \n", + " 2\n", + " 16422\n", + " atelier des lumières - cézanne\n", + " 2022-08-04 04:03:31.045648+02:00\n", + " 2022-08-04 04:03:31.045648+02:00\n", + " 859\n", + " NaN\n", + " \n", + " \n", + " 20\n", + " 21098\n", + " bassins des lumières - 2022 - venise\n", + " 2023-04-08 03:49:46.916777+02:00\n", + " 2023-04-08 03:49:46.916777+02:00\n", + " 859\n", + " NaN\n", + " \n", + " \n", + " 18\n", + " 23460\n", + " immersive box\n", + " 2023-08-29 17:39:55.188028+02:00\n", + " 2023-08-29 17:39:55.188028+02:00\n", + " 859\n", + " NaN\n", + " \n", + " \n", + " 8\n", + " 13584\n", + " bassins des lumières - venise\n", + " 2022-05-13 11:00:14.943669+02:00\n", + " 2022-05-13 11:00:14.943669+02:00\n", + " 859\n", + " NaN\n", + " \n", + " \n", + " 15\n", + " 21096\n", + " atelier des lumières - 2022 - cézanne\n", + " 2023-04-08 03:42:10.395124+02:00\n", + " 2023-04-08 03:42:10.395124+02:00\n", + " 859\n", + " NaN\n", + " \n", + " \n", + " 27\n", + " 260\n", + " musée jacquemart andré\n", + " 2020-10-18 01:20:12.738229+02:00\n", + " 2020-10-18 01:20:12.738229+02:00\n", + " 3525\n", + " NaN\n", + " \n", + " \n", + " 33\n", + " 71\n", + " cité de l'automobile\n", + " 2020-10-13 11:05:43.705639+02:00\n", + " 2020-12-03 08:33:15.576065+01:00\n", + " 449992\n", + " NaN\n", + " \n", + " \n", + " 30\n", + " 89\n", + " bassins de lumieres\n", + " 2020-10-13 14:56:27.206958+02:00\n", + " 2020-10-13 14:56:27.206958+02:00\n", + " 460754\n", + " NaN\n", + " \n", + " \n", + " 7\n", + " 108\n", + " les baux de provence\n", + " 2020-10-14 14:16:20.284658+02:00\n", + " 2020-10-14 14:16:20.284658+02:00\n", + " 481475\n", + " NaN\n", + " \n", + " \n", + " 19\n", + " 161\n", + " les carrières de lumières\n", + " 2020-10-14 18:06:57.059828+02:00\n", + " 2020-10-14 18:06:57.059828+02:00\n", + " 483815\n", + " NaN\n", + " \n", + " \n", + " 24\n", + " 118\n", + " villa ephrussi de rothschild\n", + " 2020-10-14 15:02:40.478501+02:00\n", + " 2020-10-14 15:02:40.478501+02:00\n", + " 485539\n", + " NaN\n", + " \n", + " \n", + " 29\n", + " 128\n", + " théâtre antique orange\n", + " 2020-10-14 15:46:44.072307+02:00\n", + " 2020-10-14 15:46:44.072307+02:00\n", + " 499380\n", + " NaN\n", + " \n", + " \n", + " 28\n", + " 3875\n", + " carrieres de lumieres\n", + " 2021-06-11 10:52:15.706030+02:00\n", + " 2021-06-11 10:52:15.706030+02:00\n", + " 535931\n", + " NaN\n", + " \n", + " \n", + " 25\n", + " 3866\n", + " baux-de-provence\n", + " 2021-06-11 10:28:30.237144+02:00\n", + " 2021-06-11 10:28:30.237144+02:00\n", + " 569179\n", + " NaN\n", + " \n", + " \n", + " 22\n", + " 392\n", + " tour magne de nîmes\n", + " 2020-10-19 17:51:45.915572+02:00\n", + " 2020-10-19 17:51:45.915572+02:00\n", + " 717981\n", + " NaN\n", + " \n", + " \n", + " 3\n", + " 263\n", + " musée maillol\n", + " 2020-10-18 01:30:23.853673+02:00\n", + " 2020-10-18 01:30:23.853673+02:00\n", + " 852301\n", + " NaN\n", + " \n", + " \n", + " 6\n", + " 264\n", + " cinéma d'aigues mortes\n", + " 2020-10-18 01:30:23.863631+02:00\n", + " 2020-10-18 01:30:23.863631+02:00\n", + " 852302\n", + " NaN\n", + " \n", + " \n", + " 21\n", + " 388\n", + " maison carrée de nîmes\n", + " 2020-10-19 17:37:09.345955+02:00\n", + " 2020-10-19 17:37:09.345955+02:00\n", + " 867431\n", + " NaN\n", + " \n", + " \n", + " 23\n", + " 333\n", + " les arènes de nîmes\n", + " 2020-10-19 10:17:55.757817+02:00\n", + " 2020-10-19 10:17:55.757817+02:00\n", + " 867431\n", + " NaN\n", + " \n", + " \n", + " 31\n", + " 170\n", + " caumont centre d'art\n", + " 2020-10-14 19:13:55.213186+02:00\n", + " 2022-10-14 06:21:53.310810+02:00\n", + " 887751\n", + " NaN\n", + " \n", + " \n", + " 5\n", + " 1665\n", + " cité de l'auto\n", + " 2020-12-08 18:46:15.957997+01:00\n", + " 2020-12-08 18:46:15.957997+01:00\n", + " 1418086\n", + " NaN\n", + " \n", + " \n", + " 14\n", + " 11836\n", + " phoenix des lumières\n", + " 2022-03-08 16:30:03.135537+01:00\n", + " 2022-03-08 16:30:03.135537+01:00\n", + " 3639035\n", + " NaN\n", + " \n", + " \n", + " 1\n", + " 13501\n", + " château de boutemont\n", + " 2022-05-10 14:56:36.025562+02:00\n", + " 2022-05-10 14:56:36.025562+02:00\n", + " 4209418\n", + " NaN\n", + " \n", + " \n", + " 4\n", + " 13502\n", + " fabrique des lumières\n", + " 2022-05-10 15:05:40.443121+02:00\n", + " 2022-05-10 15:05:40.443121+02:00\n", + " 4209419\n", + " NaN\n", + " \n", + " \n", + " 12\n", + " 22219\n", + " immersive box belgique\n", + " 2023-06-13 16:17:37.818103+02:00\n", + " 2023-06-13 16:17:37.818103+02:00\n", + " 7335205\n", + " NaN\n", + " \n", + " \n", + " 13\n", + " 22512\n", + " hall des lumières\n", + " 2023-06-29 09:31:23.575220+02:00\n", + " 2023-06-29 09:31:23.575220+02:00\n", + " 7364467\n", + " NaN\n", + " \n", + " \n", + " 11\n", + " 22348\n", + " hdl\n", + " 2023-06-20 17:58:19.153019+02:00\n", + " 2023-06-29 09:38:51.592547+02:00\n", + " 7364467\n", + " NaN\n", + " \n", + " \n", + " 0\n", + " 22516\n", + " hall des lumieres\n", + " 2023-06-29 09:46:44.718839+02:00\n", + " 2023-06-29 09:46:44.718839+02:00\n", + " 7364467\n", + " NaN\n", + " \n", + " \n", + " 9\n", + " 11835\n", + " hdl - ny\n", + " 2022-03-08 16:00:20.821212+01:00\n", + " 2023-06-29 09:27:59.256591+02:00\n", + " 7446203\n", + " NaN\n", + " \n", + " \n", + "\n", + "" + ], + "text/plain": [ + " id name \\\n", + "26 1 atelier des lumieres \n", + "17 14007 fabrique des lumieres \n", + "32 2 non défini \n", + "10 10755 NaN \n", + "16 13583 hôtel de caumont \n", + "2 16422 atelier des lumières - cézanne \n", + "20 21098 bassins des lumières - 2022 - venise \n", + "18 23460 immersive box \n", + "8 13584 bassins des lumières - venise \n", + "15 21096 atelier des lumières - 2022 - cézanne \n", + "27 260 musée jacquemart andré \n", + "33 71 cité de l'automobile \n", + "30 89 bassins de lumieres \n", + "7 108 les baux de provence \n", + "19 161 les carrières de lumières \n", + "24 118 villa ephrussi de rothschild \n", + "29 128 théâtre antique orange \n", + "28 3875 carrieres de lumieres \n", + "25 3866 baux-de-provence \n", + "22 392 tour magne de nîmes \n", + "3 263 musée maillol \n", + "6 264 cinéma d'aigues mortes \n", + "21 388 maison carrée de nîmes \n", + "23 333 les arènes de nîmes \n", + "31 170 caumont centre d'art \n", + "5 1665 cité de l'auto \n", + "14 11836 phoenix des lumières \n", + "1 13501 château de boutemont \n", + "4 13502 fabrique des lumières \n", + "12 22219 immersive box belgique \n", + "13 22512 hall des lumières \n", + "11 22348 hdl \n", + "0 22516 hall des lumieres \n", + "9 11835 hdl - ny \n", + "\n", + " created_at updated_at \\\n", + "26 2020-10-12 08:57:27.783770+02:00 2020-10-12 08:57:27.783770+02:00 \n", + "17 2022-05-17 09:11:19.416106+02:00 2022-05-17 09:11:19.416106+02:00 \n", + "32 2020-10-12 08:57:27.785329+02:00 2020-10-12 08:57:27.785329+02:00 \n", + "10 2022-01-28 12:07:16.602885+01:00 2022-01-28 12:07:16.602885+01:00 \n", + "16 2022-05-13 10:59:06.829576+02:00 2022-05-13 10:59:06.829576+02:00 \n", + "2 2022-08-04 04:03:31.045648+02:00 2022-08-04 04:03:31.045648+02:00 \n", + "20 2023-04-08 03:49:46.916777+02:00 2023-04-08 03:49:46.916777+02:00 \n", + "18 2023-08-29 17:39:55.188028+02:00 2023-08-29 17:39:55.188028+02:00 \n", + "8 2022-05-13 11:00:14.943669+02:00 2022-05-13 11:00:14.943669+02:00 \n", + "15 2023-04-08 03:42:10.395124+02:00 2023-04-08 03:42:10.395124+02:00 \n", + "27 2020-10-18 01:20:12.738229+02:00 2020-10-18 01:20:12.738229+02:00 \n", + "33 2020-10-13 11:05:43.705639+02:00 2020-12-03 08:33:15.576065+01:00 \n", + "30 2020-10-13 14:56:27.206958+02:00 2020-10-13 14:56:27.206958+02:00 \n", + "7 2020-10-14 14:16:20.284658+02:00 2020-10-14 14:16:20.284658+02:00 \n", + "19 2020-10-14 18:06:57.059828+02:00 2020-10-14 18:06:57.059828+02:00 \n", + "24 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idpercent_pricemax_pricemin_pricecategory_idpricing_formula_idrepresentation_idcreated_atupdated_at
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12100.00.00.01122023-10-13 13:02:32.531505+02:002023-10-13 13:02:32.531505+02:00
23100.00.00.01132023-10-13 13:02:32.532172+02:002023-10-13 13:02:32.532172+02:00
34100.00.00.01142023-10-13 13:02:32.532665+02:002023-10-13 13:02:32.532665+02:00
45100.00.00.01152023-10-13 13:02:32.533142+02:002023-10-13 13:02:32.533142+02:00
......
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78855180783142022-02-15 15:43:38.814000+01:00NaNNaNNaN779982810314100.00.00.0112892023-04-08 03:50:13.855649+02:002023-04-08 03:50:13.855649+02:0015672552023-11-09 05:14:16.770916+01:002023-11-09 05:14:16.770916+01:00
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78857180783162022-02-15 15:27:27.722000+01:00NaN7.0NaN779984810316100.00.00.0112892023-04-08 03:50:13.856544+02:002023-04-08 03:50:13.856544+02:0015672572023-11-09 05:14:16.771761+01:002023-11-09 05:14:16.771761+01:00
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78858 rows × 9 columns

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" ], "text/plain": [ - " id sent_at software satisfaction \\\n", - "0 27228546 2023-10-07 14:00:28.593000+02:00 NaN 9.0 \n", - "1 13182836 2023-01-01 15:18:53.571000+01:00 NaN NaN \n", - "2 12150807 2022-12-09 19:54:44.599000+01:00 NaN NaN \n", - "3 403 2021-11-19 14:32:00.627000+01:00 NaN NaN \n", - "4 27228547 2023-10-07 14:00:16.811000+02:00 NaN 7.0 \n", - "... ... ... ... ... \n", - "78853 18078312 2022-02-15 15:48:13.102000+01:00 NaN NaN \n", - "78854 18078313 2022-02-15 15:43:40.708000+01:00 NaN NaN \n", - "78855 18078314 2022-02-15 15:43:38.814000+01:00 NaN NaN \n", - "78856 18078315 2022-02-15 15:42:31.720000+01:00 NaN NaN \n", - "78857 18078316 2022-02-15 15:27:27.722000+01:00 NaN 7.0 \n", + " id percent_price max_price min_price category_id \\\n", + "0 1 100.0 0.0 0.0 1 \n", + "1 2 100.0 0.0 0.0 1 \n", + "2 3 100.0 0.0 0.0 1 \n", + "3 4 100.0 0.0 0.0 1 \n", + "4 5 100.0 0.0 0.0 1 \n", + "... ... ... ... ... ... \n", + "779980 810312 100.0 0.0 0.0 1 \n", + "779981 810313 100.0 0.0 0.0 1 \n", + "779982 810314 100.0 0.0 0.0 1 \n", + "779983 810315 100.0 0.0 0.0 1 \n", + "779984 810316 100.0 0.0 0.0 1 \n", "\n", - " extra_field customer_id contribution_site_id \\\n", - "0 NaN 17622337 1 \n", - "1 NaN 1 1 \n", - "2 NaN 1 2 \n", - "3 NaN 1 1 \n", - "4 NaN 17622338 1 \n", - "... ... ... ... \n", - "78853 NaN 1 1289 \n", - "78854 NaN 1 1289 \n", - "78855 NaN 1 1289 \n", - "78856 NaN 1 1289 \n", - "78857 NaN 1 1289 \n", + " pricing_formula_id representation_id \\\n", + "0 1 1 \n", + "1 1 2 \n", + "2 1 3 \n", + "3 1 4 \n", + "4 1 5 \n", + "... ... ... \n", + "779980 1 567254 \n", + "779981 4 567254 \n", + "779982 1 567255 \n", + "779983 1 567256 \n", + "779984 1 567257 \n", "\n", - " created_at updated_at \n", - "0 2023-10-08 04:47:36.310325+02:00 2023-10-08 04:47:36.310325+02:00 \n", - "1 2023-01-02 03:55:55.685969+01:00 2023-01-02 03:55:55.685969+01:00 \n", - "2 2022-12-10 03:59:59.208896+01:00 2022-12-10 03:59:59.208896+01:00 \n", - "3 2022-05-13 10:59:25.378565+02:00 2022-05-13 10:59:25.378565+02:00 \n", - "4 2023-10-08 04:47:36.312124+02:00 2023-10-08 04:47:36.312124+02:00 \n", - "... ... ... \n", - "78853 2023-04-08 03:50:13.854821+02:00 2023-04-08 03:50:13.854821+02:00 \n", - "78854 2023-04-08 03:50:13.855243+02:00 2023-04-08 03:50:13.855243+02:00 \n", - "78855 2023-04-08 03:50:13.855649+02:00 2023-04-08 03:50:13.855649+02:00 \n", - "78856 2023-04-08 03:50:13.856084+02:00 2023-04-08 03:50:13.856084+02:00 \n", - "78857 2023-04-08 03:50:13.856544+02:00 2023-04-08 03:50:13.856544+02:00 \n", + " created_at updated_at \n", + "0 2023-10-13 13:02:32.517137+02:00 2023-10-13 13:02:32.517137+02:00 \n", + "1 2023-10-13 13:02:32.531505+02:00 2023-10-13 13:02:32.531505+02:00 \n", + "2 2023-10-13 13:02:32.532172+02:00 2023-10-13 13:02:32.532172+02:00 \n", + "3 2023-10-13 13:02:32.532665+02:00 2023-10-13 13:02:32.532665+02:00 \n", + "4 2023-10-13 13:02:32.533142+02:00 2023-10-13 13:02:32.533142+02:00 \n", + "... ... ... \n", + "779980 2023-11-09 05:14:16.770130+01:00 2023-11-09 05:14:16.770130+01:00 \n", + "779981 2023-11-09 05:14:16.770538+01:00 2023-11-09 05:14:16.770538+01:00 \n", + "779982 2023-11-09 05:14:16.770916+01:00 2023-11-09 05:14:16.770916+01:00 \n", + "779983 2023-11-09 05:14:16.771359+01:00 2023-11-09 05:14:16.771359+01:00 \n", + "779984 2023-11-09 05:14:16.771761+01:00 2023-11-09 05:14:16.771761+01:00 \n", "\n", - "[78858 rows x 9 columns]" + "[779985 rows x 9 columns]" ] }, - "execution_count": 41, + "execution_count": 32, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "company_number = '101'\n", - "\n", - "facilities = load_dataset_2(company_number, \"contributions\")\n", - "\n", - "facilities #.sort_values(by = 'street_id')" + "load_dataset_2(company_number, \"products_groups\")" ] }, { @@ -341,7 +1237,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 34, "id": "8917cc1b-4728-460c-8432-a633de7f039b", "metadata": {}, "outputs": [ @@ -445,7 +1341,9 @@ { "cell_type": "markdown", "id": "3479960c-0d23-45f1-8fff-d87395205731", - "metadata": {}, + "metadata": { + "jp-MarkdownHeadingCollapsed": true + }, "source": [ "## Outlier" ] @@ -2000,7 +2898,9 @@ { "cell_type": "markdown", "id": "dbebfa92-310a-417b-a7fa-36ac3593db06", - "metadata": {}, + "metadata": { + "jp-MarkdownHeadingCollapsed": true + }, "source": [ "## Evolution des commandes" ] @@ -2174,15 +3074,108 @@ { "cell_type": "markdown", "id": "82895dfc-e5ca-4be0-af24-93c1be8f6248", - "metadata": {}, + "metadata": { + "jp-MarkdownHeadingCollapsed": true + }, "source": [ - "### Proportion de tickets de prix 0" + "## Proportion de tickets de prix 0" ] }, { "cell_type": "code", - "execution_count": 17, - "id": "5fd7484c-f111-4955-8a84-86d0d184f9f9", + "execution_count": 35, + "id": "10828dd8-8ec9-49eb-b450-acca741964c7", + "metadata": {}, + "outputs": [], + "source": [ + "barplot_prop_free_price = pd.DataFrame()\n", + "for company_number in ['1', '2', '3', '4', '101'] : # \n", + " nom_dataframe = 'df'+ company_number +'_tickets'\n", + " df_tickets = globals()[nom_dataframe].copy()\n", + " df_free_tickets = df_tickets[df_tickets['amount'] == 0 | df_tickets['amount'].isna()]\n", + "\n", + " if company_number == '101' :\n", + " df_free_tickets_1 = df101_tickets_1[df101_tickets_1['amount'] == 0]\n", + " nb_tickets = len(df_tickets) + len(df101_tickets_1)\n", + " nb_free_tickets = len(df_free_tickets) + len(df_free_tickets_1)\n", + " \n", + " graph_dataframe = pd.DataFrame({'company_number' : [company_number], \n", + " 'prop_free_tickets' : [nb_free_tickets / nb_tickets],\n", + " 'nb_tickets' : [nb_tickets]})\n", + " \n", + " else : \n", + " graph_dataframe = pd.DataFrame({'company_number' : [company_number], \n", + " 'prop_free_tickets' : [len(df_free_tickets) / len(df_tickets)],\n", + " 'nb_tickets' : [len(df_tickets)]})\n", + "\n", + " barplot_prop_free_price = pd.concat([barplot_prop_free_price, graph_dataframe])" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "id": "065576ef-2515-43eb-a65d-21f07f228c9e", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "barplot_prop_free_price\n", + "\n", + "df = barplot_prop_free_price.sort_values( by = 'prop_free_tickets')\n", + "\n", + "# Création du barplot\n", + "plt.figure(figsize=(10, 6))\n", + "plt.bar(df['company_number'], df['prop_free_tickets'])\n", + "plt.xlabel('Numéro de la société')\n", + "plt.ylabel('Proportion de billets gratuits')\n", + "plt.title('Proportion de billets gratuits par musée')\n", + "plt.xticks(df['company_number'])\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "d6de664a-a303-48f5-bca6-1e9e9d17c461", + "metadata": { + "jp-MarkdownHeadingCollapsed": true + }, + "source": [ + "## Répartition des prix de vente" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "id": "150825c6-08b5-44ad-a02e-98ee44192d94", + "metadata": {}, + "outputs": [], + "source": [ + "boxplot_amount = {} \n", + "\n", + "for company_number in ['1', '2', '3', '4', '101'] :\n", + " nom_dataframe = 'df'+ company_number +'_tickets'\n", + " df_tickets = globals()[nom_dataframe].copy()\n", + " df_notfree_tickets = df_tickets[df_tickets['amount'] > 0]\n", + " \n", + " boxplot_amount[company_number] = df_notfree_tickets['amount']\n", + "\n", + "amount_df = pd.DataFrame(boxplot_amount)" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "id": "c6ce46c8-5ad1-42c0-9b9a-a84df52a3411", "metadata": {}, "outputs": [ { @@ -2206,209 +3199,112 @@ " \n", " \n", " \n", - " ticket_id\n", - " customer_id\n", - " purchase_id\n", - " event_type_id\n", - " supplier_name\n", - " purchase_date\n", - " amount\n", - " is_full_price\n", - " name_event_types\n", - " name_facilities\n", - " name_categories\n", - " name_events\n", - " name_seasons\n", - " start_date_time\n", - " end_date_time\n", - " open\n", + " 1\n", + " 2\n", + " 3\n", + " 4\n", + " 101\n", " \n", " \n", " \n", " \n", - " 0\n", - " 27559143\n", - " 1\n", - " 5512832.0\n", - " 60870\n", - " point de vente france billet\n", - " 2016-01-17 14:30:00+00:00\n", - " 20.0\n", - " False\n", - " spectacle saison\n", - " chateau de chantilly\n", - " individuel\n", - " concert nouvel an ind pt fb\n", - " 2016\n", - " 1901-01-01 00:09:21+00:09\n", - " 1901-01-01 00:09:21+00:09\n", - " True\n", + " count\n", + " 1.062722e+06\n", + " 1.475197e+06\n", + " 3.051426e+06\n", + " 1.280045e+06\n", + " 1.133556e+07\n", " \n", " \n", - " 1\n", - " 27559144\n", - " 1\n", - " 5512832.0\n", - " 60870\n", - " point de vente france billet\n", - " 2016-01-17 14:30:00+00:00\n", - " 20.0\n", - " False\n", - " spectacle saison\n", - " chateau de chantilly\n", - " individuel\n", - " concert nouvel an ind pt fb\n", - " 2016\n", - " 1901-01-01 00:09:21+00:09\n", - " 1901-01-01 00:09:21+00:09\n", - " True\n", + " mean\n", + " 1.076436e+01\n", + " 1.519766e+01\n", + " 1.285360e+01\n", + " 1.139475e+01\n", + " 1.350509e+01\n", " \n", " \n", - " 2\n", - " 27559145\n", - " 1\n", - " 5512832.0\n", - " 60870\n", - " point de vente france billet\n", - " 2016-01-17 14:30:00+00:00\n", - " 20.0\n", - " False\n", - " spectacle saison\n", - " chateau de chantilly\n", - " individuel\n", - " concert nouvel an ind pt fb\n", - " 2016\n", - " 1901-01-01 00:09:21+00:09\n", - " 1901-01-01 00:09:21+00:09\n", - " True\n", + " std\n", + " 9.243106e+00\n", + " 5.714467e+00\n", + " 1.445236e+01\n", + " 1.657010e+01\n", + " 1.492325e+01\n", " \n", " \n", - " 3\n", - " 27559146\n", - " 1\n", - " 5512833.0\n", - " 60870\n", - " point de vente france billet\n", - " 2016-01-22 11:32:59+00:00\n", - " 20.0\n", - " False\n", - " spectacle saison\n", - " chateau de chantilly\n", - " individuel\n", - " concert nouvel an ind pt fb\n", - " 2016\n", - " 1901-01-01 00:09:21+00:09\n", - " 1901-01-01 00:09:21+00:09\n", - " True\n", + " min\n", + " 2.500000e+00\n", + " 5.000000e+00\n", + " 3.000000e-01\n", + " 1.000000e+00\n", + " 2.000000e-02\n", " \n", " \n", - " 4\n", - " 27559147\n", - " 1\n", - " 5512833.0\n", - " 60870\n", - " point de vente france billet\n", - " 2016-01-22 11:32:59+00:00\n", - " 20.0\n", - " False\n", - " spectacle saison\n", - " chateau de chantilly\n", - " individuel\n", - " concert nouvel an ind pt fb\n", - " 2016\n", - " 1901-01-01 00:09:21+00:09\n", - " 1901-01-01 00:09:21+00:09\n", - " True\n", + " 25%\n", + " 9.500000e+00\n", + " 1.300000e+01\n", + " 6.000000e+00\n", + " 6.000000e+00\n", + " 1.000000e+01\n", + " \n", + " \n", + " 50%\n", + " 1.100000e+01\n", + " 1.500000e+01\n", + " 1.350000e+01\n", + " 1.000000e+01\n", + " 1.300000e+01\n", + " \n", + " \n", + " 75%\n", + " 1.100000e+01\n", + " 1.500000e+01\n", + " 1.700000e+01\n", + " 1.200000e+01\n", + " 1.450000e+01\n", + " \n", + " \n", + " max\n", + " 3.200000e+02\n", + " 3.000000e+02\n", + " 7.500000e+03\n", + " 1.500000e+03\n", + " 1.633000e+03\n", " \n", " \n", "\n", "" ], "text/plain": [ - " ticket_id customer_id purchase_id event_type_id \\\n", - "0 27559143 1 5512832.0 60870 \n", - "1 27559144 1 5512832.0 60870 \n", - "2 27559145 1 5512832.0 60870 \n", - "3 27559146 1 5512833.0 60870 \n", - "4 27559147 1 5512833.0 60870 \n", - "\n", - " supplier_name purchase_date amount \\\n", - "0 point de vente france billet 2016-01-17 14:30:00+00:00 20.0 \n", - "1 point de vente france billet 2016-01-17 14:30:00+00:00 20.0 \n", - "2 point de vente france billet 2016-01-17 14:30:00+00:00 20.0 \n", - "3 point de vente france billet 2016-01-22 11:32:59+00:00 20.0 \n", - "4 point de vente france billet 2016-01-22 11:32:59+00:00 20.0 \n", - "\n", - " is_full_price name_event_types name_facilities name_categories \\\n", - "0 False spectacle saison chateau de chantilly individuel \n", - "1 False spectacle saison chateau de chantilly individuel \n", - "2 False spectacle saison chateau de chantilly individuel \n", - "3 False spectacle saison chateau de chantilly individuel \n", - "4 False spectacle saison chateau de chantilly individuel \n", - "\n", - " name_events name_seasons start_date_time \\\n", - "0 concert nouvel an ind pt fb 2016 1901-01-01 00:09:21+00:09 \n", - "1 concert nouvel an ind pt fb 2016 1901-01-01 00:09:21+00:09 \n", - "2 concert nouvel an ind pt fb 2016 1901-01-01 00:09:21+00:09 \n", - "3 concert nouvel an ind pt fb 2016 1901-01-01 00:09:21+00:09 \n", - "4 concert nouvel an ind pt fb 2016 1901-01-01 00:09:21+00:09 \n", - "\n", - " end_date_time open \n", - "0 1901-01-01 00:09:21+00:09 True \n", - "1 1901-01-01 00:09:21+00:09 True \n", - "2 1901-01-01 00:09:21+00:09 True \n", - "3 1901-01-01 00:09:21+00:09 True \n", - "4 1901-01-01 00:09:21+00:09 True " + " 1 2 3 4 101\n", + "count 1.062722e+06 1.475197e+06 3.051426e+06 1.280045e+06 1.133556e+07\n", + "mean 1.076436e+01 1.519766e+01 1.285360e+01 1.139475e+01 1.350509e+01\n", + "std 9.243106e+00 5.714467e+00 1.445236e+01 1.657010e+01 1.492325e+01\n", + "min 2.500000e+00 5.000000e+00 3.000000e-01 1.000000e+00 2.000000e-02\n", + "25% 9.500000e+00 1.300000e+01 6.000000e+00 6.000000e+00 1.000000e+01\n", + "50% 1.100000e+01 1.500000e+01 1.350000e+01 1.000000e+01 1.300000e+01\n", + "75% 1.100000e+01 1.500000e+01 1.700000e+01 1.200000e+01 1.450000e+01\n", + "max 3.200000e+02 3.000000e+02 7.500000e+03 1.500000e+03 1.633000e+03" ] }, - "execution_count": 17, + "execution_count": 44, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "df3_tickets.head()" + "amount_df.describe()" ] }, { "cell_type": "code", - "execution_count": 24, - "id": "10828dd8-8ec9-49eb-b450-acca741964c7", - "metadata": {}, - "outputs": [], - "source": [ - "barplot_prop_free_price = pd.DataFrame()\n", - "for company_number in ['1', '2', '3', '4', '101'] : # \n", - " nom_dataframe = 'df'+ company_number +'_tickets'\n", - " df_tickets = globals()[nom_dataframe].copy()\n", - " df_free_tickets = df_tickets[df_tickets['amount'] == 0]\n", - "\n", - " if company_number == '101' :\n", - " df_free_tickets_1 = df101_tickets_1[df101_tickets_1['amount'] == 0]\n", - " nb_tickets = len(df_tickets) + len(df101_tickets_1)\n", - " nb_free_tickets = len(df_free_tickets) + len(df_free_tickets_1)\n", - " \n", - " graph_dataframe = pd.DataFrame({'company_number' : [company_number], \n", - " 'prop_free_tickets' : [nb_free_tickets / nb_tickets],\n", - " 'nb_tickets' : [nb_tickets]})\n", - " \n", - " else : \n", - " graph_dataframe = pd.DataFrame({'company_number' : [company_number], \n", - " 'prop_free_tickets' : [len(df_free_tickets) / len(df_tickets)],\n", - " 'nb_tickets' : [len(df_tickets)]})\n", - "\n", - " barplot_prop_free_price = pd.concat([barplot_prop_free_price, graph_dataframe])" - ] - }, - { - "cell_type": "code", - "execution_count": 28, - "id": "065576ef-2515-43eb-a65d-21f07f228c9e", + "execution_count": 47, + "id": "a54269c1-9aec-4e49-91ba-d39fa5ece850", "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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" ] @@ -2418,17 +3314,15 @@ } ], "source": [ - "barplot_prop_free_price\n", + "means = amount_df.mean()\n", "\n", - "df = barplot_prop_free_price.sort_values( by = 'prop_free_tickets')\n", - "\n", - "# Création du barplot\n", "plt.figure(figsize=(10, 6))\n", - "plt.bar(df['company_number'], df['prop_free_tickets'])\n", - "plt.xlabel('Numéro de la société')\n", - "plt.ylabel('Proportion de billets gratuits')\n", - "plt.title('Proportion de billets gratuits par musée')\n", - "plt.xticks(df['company_number'])\n", + "amount_df.boxplot()\n", + "plt.scatter(x=range(1, len(means) + 1), y=means, marker='D', color='red', s=100)\n", + "plt.title('Répartition des prix des billets non gratuits')\n", + "plt.ylabel('Montant')\n", + "plt.xlabel('Compagnie')\n", + "plt.ylim(0, 50) \n", "plt.show()" ] }, @@ -2844,698 +3738,6 @@ "purchases" ] }, - { - "cell_type": "markdown", - "id": "b8a90eaa-c383-4f73-9fd6-6fbbe8eeefb8", - "metadata": {}, - "source": [ - "# 2 - Comportement d'achat bis (Alexis)" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "id": "dc45c1cd-2a78-48a6-aa2b-6a501254b6f2", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "(156289, 40)\n" - ] - }, - { - "data": { - "text/html": [ - "
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5 rows × 40 columns

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" - ], - "text/plain": [ - " customer_id birthdate street_id is_partner gender is_email_true \\\n", - "0 1 NaN 2 False 2 True \n", - "1 1 NaN 2 False 2 True \n", - "2 1 NaN 2 False 2 True \n", - "3 1 NaN 2 False 2 True \n", - "4 2 NaN 2 False 1 True \n", - "\n", - " opt_in structure_id profession language ... vente_internet_max \\\n", - "0 False NaN NaN NaN ... 1.0 \n", - "1 False NaN NaN NaN ... 1.0 \n", - "2 False NaN NaN NaN ... 1.0 \n", - "3 False NaN NaN NaN ... 1.0 \n", - "4 True NaN NaN NaN ... 0.0 \n", - "\n", - " purchase_date_min purchase_date_max time_between_purchase \\\n", - "0 3262.190868 4.179306 3258.011562 \n", - "1 2502.715509 1408.715532 1093.999977 \n", - "2 3698.198229 5.221840 3692.976389 \n", - "3 3803.369792 0.146331 3803.223461 \n", - "4 1705.261192 1456.333715 248.927477 \n", - "\n", - " nb_tickets_internet name_event_types avg_amount nb_campaigns \\\n", - "0 51.0 offre muséale individuel 6.150659 NaN \n", - "1 5.0 formule adhésion 6.439463 NaN \n", - "2 2988.0 spectacle vivant 7.762474 NaN \n", - "3 9.0 offre muséale groupe 4.452618 NaN \n", - "4 0.0 formule adhésion 6.439463 4.0 \n", - "\n", - " nb_campaigns_opened time_to_open \n", - "0 NaN NaN \n", - "1 NaN NaN \n", - "2 NaN NaN \n", - "3 NaN NaN \n", - "4 NaN NaN \n", - "\n", - "[5 rows x 40 columns]" - ] - }, - "execution_count": 18, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# Chargement des données temporaires\n", - "BUCKET = \"projet-bdc2324-team1\"\n", - "FILE_KEY_S3 = \"0_Temp/Company 1 - customer_event.csv\"\n", - "FILE_PATH_S3 = BUCKET + \"/\" + FILE_KEY_S3\n", - "\n", - "with fs.open(FILE_PATH_S3, mode=\"rb\") as file_in:\n", - " customer = pd.read_csv(file_in, sep=\",\")\n", - "\n", - "print(customer.shape)\n", - "customer.head()" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "id": "89fcb455-efb4-4ad4-ab88-efd6c8a76287", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Index(['customer_id', 'birthdate', 'street_id', 'is_partner', 'gender',\n", - " 'is_email_true', 'opt_in', 'structure_id', 'profession', 'language',\n", - " 'mcp_contact_id', 'last_buying_date', 'max_price', 'ticket_sum',\n", - " 'average_price', 'fidelity', 'average_purchase_delay',\n", - " 'average_price_basket', 'average_ticket_basket', 'total_price',\n", - " 'purchase_count', 'first_buying_date', 'country', 'age', 'tenant_id',\n", - " 'event_type_id', 'nb_tickets', 'nb_purchases', 'total_amount',\n", - " 'nb_suppliers', 'vente_internet_max', 'purchase_date_min',\n", - " 'purchase_date_max', 'time_between_purchase', 'nb_tickets_internet',\n", - " 'name_event_types', 'avg_amount', 'nb_campaigns', 'nb_campaigns_opened',\n", - " 'time_to_open'],\n", - " dtype='object')" - ] - }, - "execution_count": 19, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "customer.columns" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "id": "d7b2356a-d5fc-4547-b3ff-fded0e304fb6", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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customer_idaverage_priceaverage_purchase_delayaverage_price_basketaverage_ticket_basketpurchase_counttotal_pricenb_campaignsnb_campaigns_opened
017.030122-67.79096913.7515301.9560876414728821221.50.00.0
420.0000000.0000000.0000001.0000003070.04.00.0
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7410.2500005.00000020.5000002.000000241.07.07.0
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" - ], - "text/plain": [ - " customer_id average_price average_purchase_delay average_price_basket \\\n", - "0 1 7.030122 -67.790969 13.751530 \n", - "4 2 0.000000 0.000000 0.000000 \n", - "6 3 18.333333 30.666667 36.666667 \n", - "7 4 10.250000 5.000000 20.500000 \n", - "9 5 9.500000 0.000000 19.000000 \n", - "\n", - " average_ticket_basket purchase_count total_price nb_campaigns \\\n", - "0 1.956087 641472 8821221.5 0.0 \n", - "4 1.000000 307 0.0 4.0 \n", - "6 2.000000 3 110.0 222.0 \n", - "7 2.000000 2 41.0 7.0 \n", - "9 2.000000 1 19.0 4.0 \n", - "\n", - " nb_campaigns_opened \n", - "0 0.0 \n", - "4 0.0 \n", - "6 124.0 \n", - "7 7.0 \n", - "9 0.0 " - ] - }, - "execution_count": 20, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "achat = ['customer_id', 'average_price', 'average_purchase_delay', 'average_price_basket',\n", - " 'average_ticket_basket', 'purchase_count', 'total_price', 'nb_campaigns',\n", - " 'nb_campaigns_opened']\n", - "\n", - "customer_achat = customer[achat].drop_duplicates(subset = ['customer_id'])\n", - "customer_achat['nb_campaigns'] = customer_achat['nb_campaigns'].fillna(0)\n", - "customer_achat['nb_campaigns_opened'] = customer_achat['nb_campaigns_opened'].fillna(0)\n", - "customer_achat = customer_achat.fillna(0)\n", - "customer_achat.head()" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "id": "5559748f-1745-4651-a9f6-94702c7ee66f", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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average_priceaverage_purchase_delayaverage_price_basketaverage_ticket_basketpurchase_counttotal_pricenb_campaignsnb_campaigns_opened
count151865.000000151865.000000151865.000000151865.000000151865.000000151865.000000151865.000000151865.000000
mean5.252070-206.58148611.4515961.7233720.65514816.99406440.9232417.870681
std7.9159552996.74365748.2711947.0459505.694038313.09910270.44572423.119061
min0.000000-44863.0000000.0000000.0000000.0000000.0000000.0000000.000000
25%0.0000000.0000000.0000000.0000000.0000000.0000002.0000000.000000
50%0.0000000.0000000.0000000.0000000.0000000.0000005.0000001.000000
75%11.0000000.00000019.0000002.0000001.00000020.00000032.0000003.000000
max320.0000001914.0000009900.000000900.0000001508.00000064350.000000439.000000434.000000
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" - ], - "text/plain": [ - " average_price average_purchase_delay average_price_basket \\\n", - "count 151865.000000 151865.000000 151865.000000 \n", - "mean 5.252070 -206.581486 11.451596 \n", - "std 7.915955 2996.743657 48.271194 \n", - "min 0.000000 -44863.000000 0.000000 \n", - "25% 0.000000 0.000000 0.000000 \n", - "50% 0.000000 0.000000 0.000000 \n", - "75% 11.000000 0.000000 19.000000 \n", - "max 320.000000 1914.000000 9900.000000 \n", - "\n", - " average_ticket_basket purchase_count total_price nb_campaigns \\\n", - "count 151865.000000 151865.000000 151865.000000 151865.000000 \n", - "mean 1.723372 0.655148 16.994064 40.923241 \n", - "std 7.045950 5.694038 313.099102 70.445724 \n", - "min 0.000000 0.000000 0.000000 0.000000 \n", - "25% 0.000000 0.000000 0.000000 2.000000 \n", - "50% 0.000000 0.000000 0.000000 5.000000 \n", - "75% 2.000000 1.000000 20.000000 32.000000 \n", - "max 900.000000 1508.000000 64350.000000 439.000000 \n", - "\n", - " nb_campaigns_opened \n", - "count 151865.000000 \n", - "mean 7.870681 \n", - "std 23.119061 \n", - "min 0.000000 \n", - "25% 0.000000 \n", - "50% 1.000000 \n", - "75% 3.000000 \n", - "max 434.000000 " - ] - }, - "execution_count": 21, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "customer_wto_outlier = customer_achat[customer_achat['customer_id']!=1]\n", - "\n", - "customer_wto_outlier[['average_price', 'average_purchase_delay', 'average_price_basket',\n", - " 'average_ticket_basket', 'purchase_count', 'total_price', 'nb_campaigns', 'nb_campaigns_opened']].describe()" - ] - }, - { - "cell_type": "markdown", - "id": "b49c9e93-f324-42ee-a262-34ffb44a2261", - "metadata": {}, - "source": [ - "# Event" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "id": "4971e35d-a762-4e18-9443-fd9571bd3f1e", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Nombre de consommateurs uniques par type d'évènement\n", - "\n", - "event_counts = customer.groupby('name_event_types')['customer_id'].nunique()\n", - "\n", - "event_counts.plot(kind='bar')\n", - "plt.xlabel(\"Type d'évènement\")\n", - "plt.ylabel('Nombre de consommateurs uniques')\n", - "plt.title(\"Nombre de consommateurs uniques par type d'évènement\")\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "id": "bc65a711-d172-4839-b487-3047280fc3a6", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Nombre Total de tickets achetés par Type d'évènements\n", - "\n", - "total_tickets_by_event = customer.groupby('name_event_types')['nb_tickets'].sum()\n", - "\n", - "total_tickets_by_event.plot(kind='bar', figsize=(8, 5))\n", - "plt.xlabel(\"Type d'évènements\")\n", - "plt.ylabel('Nombre Total de tickets achetés')\n", - "plt.title(\"Nombre Total de tickets achetés par Type d'évènements\")\n", - "plt.xticks(rotation=45)\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "id": "c95cc35c-abfc-47c7-9b8a-ac69bfd60dd8", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Nombre de Canaux de Ventes Moyen utilisé par les Consommateurs par type d'évènement\n", - "\n", - "avg_supp_event = customer.groupby('name_event_types')['nb_suppliers'].mean()\n", - "avg_supp_event.plot(kind='bar')\n", - "plt.xlabel(\"Type d'évènement\")\n", - "plt.ylabel('Nombre de Canaux de Ventes Moyen')\n", - "plt.title(\"Nombre de Canaux de Ventes Moyen utilisé par les Consommateurs par type d'évènement\")\n", - "plt.show()" - ] - }, { "cell_type": "code", "execution_count": 25, diff --git a/Exploration_billet_AJ.ipynb b/Exploration_billet_AJ.ipynb index cba1ee5..a152880 100644 --- a/Exploration_billet_AJ.ipynb +++ b/Exploration_billet_AJ.ipynb @@ -96,9 +96,7 @@ { "cell_type": "markdown", "id": "ca2c8b6a-4965-422e-ba7c-66423a464fc1", - "metadata": { - "jp-MarkdownHeadingCollapsed": true - }, + "metadata": {}, "source": [ "## Base communes au types Musée" ] @@ -1877,14 +1875,6 @@ "nb_tickets_per_events" ] }, - { - "cell_type": "code", - "execution_count": null, - "id": "6a38ff60-b608-43a0-9e18-4cd2bcbcea70", - "metadata": {}, - "outputs": [], - "source": [] - }, { "cell_type": "markdown", "id": "1ede9eaa-7f0a-4856-9349-b2747d6a4901", @@ -2878,9 +2868,11 @@ { "cell_type": "markdown", "id": "80ae4c42", - "metadata": {}, + "metadata": { + "jp-MarkdownHeadingCollapsed": true + }, "source": [ - "## Exploration variables" + "## Supplier" ] }, {