From 65226770890332b69a1a7729355f1764f5a4ee15 Mon Sep 17 00:00:00 2001 From: Mark Bauer Date: Fri, 5 Jan 2024 18:24:44 -0500 Subject: [PATCH] adding CSV of list of datasets --- analysis.ipynb | 1349 +++++++++++++++++++++++++++++------------------- datasets.csv | 22 + 2 files changed, 848 insertions(+), 523 deletions(-) create mode 100644 datasets.csv diff --git a/analysis.ipynb b/analysis.ipynb index 178b464..a8bab4b 100644 --- a/analysis.ipynb +++ b/analysis.ipynb @@ -270,6 +270,7 @@ "# reading in a list of dictionaries of our data into a pandas DataFrame\n", "df = pd.DataFrame.from_records(client.datasets())\n", "\n", + "# preview data\n", "print('shape of data: {}'.format(df.shape))\n", "df.head()" ] @@ -278,6 +279,38 @@ "cell_type": "code", "execution_count": 5, "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 3410 entries, 0 to 3409\n", + "Data columns (total 8 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 resource 3410 non-null object\n", + " 1 classification 3410 non-null object\n", + " 2 metadata 3410 non-null object\n", + " 3 permalink 3410 non-null object\n", + " 4 link 3410 non-null object\n", + " 5 owner 3410 non-null object\n", + " 6 creator 3410 non-null object\n", + " 7 preview_image_url 138 non-null object\n", + "dtypes: object(8)\n", + "memory usage: 213.2+ KB\n" + ] + } + ], + "source": [ + "# summarize df\n", + "df.info()" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -341,19 +374,19 @@ " None\n", " None\n", " dataset\n", - " 2024-01-03T14:42:55.000Z\n", + " 2024-01-05T14:39:40.000Z\n", " 2016-06-14T21:12:15.000Z\n", " ...\n", " [Text, Text, Text, Text, Text, Text, Text, Cal...\n", - " [A candidate’s middle initial (MI) as it appea...\n", + " [A candidate’s last name as it appears on thei...\n", " [{'displayStyle': 'plain', 'align': 'left'}, {...\n", - " 59146\n", + " 59233\n", " official\n", " tabular\n", " table\n", " None\n", " False\n", - " 2024-01-03T14:42:55.000Z\n", + " 2024-01-05T14:39:40.000Z\n", " \n", " \n", " 1\n", @@ -365,13 +398,13 @@ " None\n", " None\n", " dataset\n", - " 2024-01-03T19:55:40.000Z\n", + " 2024-01-05T19:54:11.000Z\n", " 2015-07-16T17:33:32.000Z\n", " ...\n", - " [Text, Calendar date, Text, Text, Text, Text, ...\n", - " [Vehicle VIN Number, Last Date Updated, Permit...\n", - " [{'displayStyle': 'plain', 'align': 'left'}, {...\n", - " 428112\n", + " [Calendar date, Text, Text, Calendar date, Tex...\n", + " [Certification Date, Permit License Number, TL...\n", + " [{'view': 'date', 'align': 'left'}, {'displayS...\n", + " 428412\n", " official\n", " tabular\n", " table\n", @@ -389,13 +422,13 @@ " None\n", " None\n", " dataset\n", - " 2024-01-02T21:10:41.000Z\n", + " 2024-01-05T21:01:38.000Z\n", " 2013-04-18T15:18:56.000Z\n", " ...\n", - " [Text, Text, Text, Text, Text, Text, Number, N...\n", - " [Building Class, Equipment Work Type? (X=Yes,...\n", + " [Text, Text, Text, Text, Text, Text, Text, Tex...\n", + " [Proposed Dwelling Units, Equipment Work Type...\n", " [{'align': 'right'}, {'align': 'right'}, {'ali...\n", - " 53419\n", + " 53453\n", " official\n", " tabular\n", " table\n", @@ -413,13 +446,13 @@ " None\n", " None\n", " dataset\n", - " 2024-01-03T17:11:19.000Z\n", + " 2024-01-05T23:02:50.000Z\n", " 2016-05-17T18:43:43.000Z\n", " ...\n", - " [Text, Text, Text, Text, Text, Calendar date, ...\n", - " [This is the classification of license you hav...\n", - " [{'displayStyle': 'plain', 'align': 'left'}, {...\n", - " 38602\n", + " [Number, Text, Text, Text, Text, Text, Calenda...\n", + " [This is the number linked to your application...\n", + " [{'precisionStyle': 'standard', 'noCommas': 't...\n", + " 38608\n", " official\n", " tabular\n", " table\n", @@ -437,19 +470,19 @@ " None\n", " None\n", " dataset\n", - " 2024-01-03T20:03:54.000Z\n", + " 2024-01-05T20:04:51.000Z\n", " 2015-07-16T17:24:02.000Z\n", " ...\n", - " [Text, Text, Number, Text, Text, Calendar date...\n", - " [Last Time Updated, WAV if Wheelchair Accessib...\n", + " [Text, Text, Calendar date, Text, Calendar dat...\n", + " [Driver Name\\n\\n, Last Time Updated, Last Date...\n", " [{'displayStyle': 'plain', 'align': 'left'}, {...\n", - " 374143\n", + " 374397\n", " official\n", " tabular\n", " table\n", " None\n", " False\n", - " 2024-01-03T20:03:54.000Z\n", + " 2024-01-05T20:04:50.000Z\n", " \n", " \n", "\n", @@ -479,32 +512,32 @@ "4 Taxi and Limousine Commission (TLC) None \n", "\n", " contact_email type updatedAt createdAt \\\n", - "0 None dataset 2024-01-03T14:42:55.000Z 2016-06-14T21:12:15.000Z \n", - "1 None dataset 2024-01-03T19:55:40.000Z 2015-07-16T17:33:32.000Z \n", - "2 None dataset 2024-01-02T21:10:41.000Z 2013-04-18T15:18:56.000Z \n", - "3 None dataset 2024-01-03T17:11:19.000Z 2016-05-17T18:43:43.000Z \n", - "4 None dataset 2024-01-03T20:03:54.000Z 2015-07-16T17:24:02.000Z \n", + "0 None dataset 2024-01-05T14:39:40.000Z 2016-06-14T21:12:15.000Z \n", + "1 None dataset 2024-01-05T19:54:11.000Z 2015-07-16T17:33:32.000Z \n", + "2 None dataset 2024-01-05T21:01:38.000Z 2013-04-18T15:18:56.000Z \n", + "3 None dataset 2024-01-05T23:02:50.000Z 2016-05-17T18:43:43.000Z \n", + "4 None dataset 2024-01-05T20:04:51.000Z 2015-07-16T17:24:02.000Z \n", "\n", " ... columns_datatype \\\n", "0 ... [Text, Text, Text, Text, Text, Text, Text, Cal... \n", - "1 ... [Text, Calendar date, Text, Text, Text, Text, ... \n", - "2 ... [Text, Text, Text, Text, Text, Text, Number, N... \n", - "3 ... [Text, Text, Text, Text, Text, Calendar date, ... \n", - "4 ... [Text, Text, Number, Text, Text, Calendar date... \n", + "1 ... [Calendar date, Text, Text, Calendar date, Tex... \n", + "2 ... [Text, Text, Text, Text, Text, Text, Text, Tex... \n", + "3 ... [Number, Text, Text, Text, Text, Text, Calenda... \n", + "4 ... [Text, Text, Calendar date, Text, Calendar dat... \n", "\n", " columns_description \\\n", - "0 [A candidate’s middle initial (MI) as it appea... \n", - "1 [Vehicle VIN Number, Last Date Updated, Permit... \n", - "2 [Building Class, Equipment Work Type? (X=Yes,... \n", - "3 [This is the classification of license you hav... \n", - "4 [Last Time Updated, WAV if Wheelchair Accessib... \n", + "0 [A candidate’s last name as it appears on thei... \n", + "1 [Certification Date, Permit License Number, TL... \n", + "2 [Proposed Dwelling Units, Equipment Work Type... \n", + "3 [This is the number linked to your application... \n", + "4 [Driver Name\\n\\n, Last Time Updated, Last Date... \n", "\n", " columns_format download_count \\\n", - "0 [{'displayStyle': 'plain', 'align': 'left'}, {... 59146 \n", - "1 [{'displayStyle': 'plain', 'align': 'left'}, {... 428112 \n", - "2 [{'align': 'right'}, {'align': 'right'}, {'ali... 53419 \n", - "3 [{'displayStyle': 'plain', 'align': 'left'}, {... 38602 \n", - "4 [{'displayStyle': 'plain', 'align': 'left'}, {... 374143 \n", + "0 [{'displayStyle': 'plain', 'align': 'left'}, {... 59233 \n", + "1 [{'view': 'date', 'align': 'left'}, {'displayS... 428412 \n", + "2 [{'align': 'right'}, {'align': 'right'}, {'ali... 53453 \n", + "3 [{'precisionStyle': 'standard', 'noCommas': 't... 38608 \n", + "4 [{'displayStyle': 'plain', 'align': 'left'}, {... 374397 \n", "\n", " provenance lens_view_type lens_display_type blob_mime_type \\\n", "0 official tabular table None \n", @@ -514,16 +547,16 @@ "4 official tabular table None \n", "\n", " hide_from_data_json publication_date \n", - "0 False 2024-01-03T14:42:55.000Z \n", + "0 False 2024-01-05T14:39:40.000Z \n", "1 False 2021-04-05T13:20:47.000Z \n", "2 False 2020-06-22T18:23:35.000Z \n", "3 False 2019-12-17T18:44:57.000Z \n", - "4 False 2024-01-03T20:03:54.000Z \n", + "4 False 2024-01-05T20:04:50.000Z \n", "\n", "[5 rows x 25 columns]" ] }, - "execution_count": 5, + "execution_count": 6, "metadata": {}, "output_type": "execute_result" } @@ -538,7 +571,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 7, "metadata": {}, "outputs": [ { @@ -555,7 +588,7 @@ " 2 parent_fxf 3410 non-null object\n", " 3 description 3410 non-null object\n", " 4 attribution 3210 non-null object\n", - " 5 attribution_link 454 non-null object\n", + " 5 attribution_link 455 non-null object\n", " 6 contact_email 0 non-null object\n", " 7 type 3410 non-null object\n", " 8 updatedAt 3410 non-null object\n", @@ -581,13 +614,13 @@ } ], "source": [ - "# summary of df\n", + "# summarize df\n", "df.info()" ] }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 8, "metadata": {}, "outputs": [ { @@ -639,13 +672,13 @@ " None\n", " None\n", " dataset\n", - " 2024-01-03T14:42:55.000Z\n", + " 2024-01-05T14:39:40.000Z\n", " 2016-06-14T21:12:15.000Z\n", - " 2024-01-03T14:42:55.000Z\n", - " 2024-01-03T14:24:32.000Z\n", - " {'page_views_last_week': 10109, 'page_views_la...\n", - " [MI, Exam No, Parent Lgy Credit, First Name, L...\n", - " [mi, exam_no, parent_lgy_credit, first_name, l...\n", + " 2024-01-05T14:39:40.000Z\n", + " 2024-01-05T14:24:44.000Z\n", + " {'page_views_last_week': 4952, 'page_views_las...\n", + " [Last Name, Sibling Lgy Credit, Group No, List...\n", + " [last_name, sibling_lgy_credit, group_no, list...\n", " \n", " \n", " 1\n", @@ -657,13 +690,13 @@ " None\n", " None\n", " dataset\n", - " 2024-01-03T19:55:40.000Z\n", + " 2024-01-05T19:54:11.000Z\n", " 2015-07-16T17:33:32.000Z\n", " 2022-09-06T21:05:32.000Z\n", - " 2024-01-03T19:55:40.000Z\n", - " {'page_views_last_week': 7197, 'page_views_las...\n", - " [Vehicle VIN Number, Last Date Updated, Active...\n", - " [vehicle_vin_number, last_date_updated, active...\n", + " 2024-01-05T19:54:11.000Z\n", + " {'page_views_last_week': 7819, 'page_views_las...\n", + " [Certification Date, Permit License Number, Li...\n", + " [certification_date, permit_license_number, li...\n", " \n", " \n", " 2\n", @@ -675,13 +708,13 @@ " None\n", " None\n", " dataset\n", - " 2024-01-02T21:10:41.000Z\n", + " 2024-01-05T21:01:38.000Z\n", " 2013-04-18T15:18:56.000Z\n", " 2020-06-23T02:08:44.000Z\n", - " 2024-01-02T21:10:41.000Z\n", - " {'page_views_last_week': 406, 'page_views_last...\n", - " [BUILDING_CLASS, Equipment, GIS_COUNCIL_DISTRI...\n", - " [building_class, equipment, gis_council_distri...\n", + " 2024-01-05T21:01:38.000Z\n", + " {'page_views_last_week': 463, 'page_views_last...\n", + " [Proposed Dwelling Units, Equipment, Plumbing,...\n", + " [proposed_dwelling_units, equipment, plumbing,...\n", " \n", " \n", " 3\n", @@ -693,13 +726,13 @@ " None\n", " None\n", " dataset\n", - " 2024-01-03T17:11:19.000Z\n", + " 2024-01-05T23:02:50.000Z\n", " 2016-05-17T18:43:43.000Z\n", " 2022-05-09T22:28:03.000Z\n", - " 2024-01-03T17:11:19.000Z\n", - " {'page_views_last_week': 158, 'page_views_last...\n", - " [Type, Drug Test, Medical Clearance Form, Othe...\n", - " [type, drug_test, medical_clearance_form, othe...\n", + " 2024-01-05T23:02:50.000Z\n", + " {'page_views_last_week': 191, 'page_views_last...\n", + " [App No, Status, Driver Exam, Defensive Drivin...\n", + " [app_no, status, driver_exam, defensive_drivin...\n", " \n", " \n", " 4\n", @@ -711,13 +744,13 @@ " None\n", " None\n", " dataset\n", - " 2024-01-03T20:03:54.000Z\n", + " 2024-01-05T20:04:51.000Z\n", " 2015-07-16T17:24:02.000Z\n", - " 2024-01-03T20:03:54.000Z\n", - " 2024-01-03T19:59:28.000Z\n", - " {'page_views_last_week': 2749, 'page_views_las...\n", - " [Last Time Updated, Wheelchair Accessible Trai...\n", - " [last_time_updated, wheelchair_accessible_trai...\n", + " 2024-01-05T20:04:51.000Z\n", + " 2024-01-05T19:59:27.000Z\n", + " {'page_views_last_week': 2923, 'page_views_las...\n", + " [Name, Last Time Updated, Last Date Updated, W...\n", + " [name, last_time_updated, last_date_updated, w...\n", " \n", " \n", "\n", @@ -746,42 +779,42 @@ "4 Taxi and Limousine Commission (TLC) None \n", "\n", " contact_email type updatedAt createdAt \\\n", - "0 None dataset 2024-01-03T14:42:55.000Z 2016-06-14T21:12:15.000Z \n", - "1 None dataset 2024-01-03T19:55:40.000Z 2015-07-16T17:33:32.000Z \n", - "2 None dataset 2024-01-02T21:10:41.000Z 2013-04-18T15:18:56.000Z \n", - "3 None dataset 2024-01-03T17:11:19.000Z 2016-05-17T18:43:43.000Z \n", - "4 None dataset 2024-01-03T20:03:54.000Z 2015-07-16T17:24:02.000Z \n", + "0 None dataset 2024-01-05T14:39:40.000Z 2016-06-14T21:12:15.000Z \n", + "1 None dataset 2024-01-05T19:54:11.000Z 2015-07-16T17:33:32.000Z \n", + "2 None dataset 2024-01-05T21:01:38.000Z 2013-04-18T15:18:56.000Z \n", + "3 None dataset 2024-01-05T23:02:50.000Z 2016-05-17T18:43:43.000Z \n", + "4 None dataset 2024-01-05T20:04:51.000Z 2015-07-16T17:24:02.000Z \n", "\n", " metadata_updated_at data_updated_at \\\n", - "0 2024-01-03T14:42:55.000Z 2024-01-03T14:24:32.000Z \n", - "1 2022-09-06T21:05:32.000Z 2024-01-03T19:55:40.000Z \n", - "2 2020-06-23T02:08:44.000Z 2024-01-02T21:10:41.000Z \n", - "3 2022-05-09T22:28:03.000Z 2024-01-03T17:11:19.000Z \n", - "4 2024-01-03T20:03:54.000Z 2024-01-03T19:59:28.000Z \n", + "0 2024-01-05T14:39:40.000Z 2024-01-05T14:24:44.000Z \n", + "1 2022-09-06T21:05:32.000Z 2024-01-05T19:54:11.000Z \n", + "2 2020-06-23T02:08:44.000Z 2024-01-05T21:01:38.000Z \n", + "3 2022-05-09T22:28:03.000Z 2024-01-05T23:02:50.000Z \n", + "4 2024-01-05T20:04:51.000Z 2024-01-05T19:59:27.000Z \n", "\n", " page_views \\\n", - "0 {'page_views_last_week': 10109, 'page_views_la... \n", - "1 {'page_views_last_week': 7197, 'page_views_las... \n", - "2 {'page_views_last_week': 406, 'page_views_last... \n", - "3 {'page_views_last_week': 158, 'page_views_last... \n", - "4 {'page_views_last_week': 2749, 'page_views_las... \n", + "0 {'page_views_last_week': 4952, 'page_views_las... \n", + "1 {'page_views_last_week': 7819, 'page_views_las... \n", + "2 {'page_views_last_week': 463, 'page_views_last... \n", + "3 {'page_views_last_week': 191, 'page_views_last... \n", + "4 {'page_views_last_week': 2923, 'page_views_las... \n", "\n", " columns_name \\\n", - "0 [MI, Exam No, Parent Lgy Credit, First Name, L... \n", - "1 [Vehicle VIN Number, Last Date Updated, Active... \n", - "2 [BUILDING_CLASS, Equipment, GIS_COUNCIL_DISTRI... \n", - "3 [Type, Drug Test, Medical Clearance Form, Othe... \n", - "4 [Last Time Updated, Wheelchair Accessible Trai... \n", + "0 [Last Name, Sibling Lgy Credit, Group No, List... \n", + "1 [Certification Date, Permit License Number, Li... \n", + "2 [Proposed Dwelling Units, Equipment, Plumbing,... \n", + "3 [App No, Status, Driver Exam, Defensive Drivin... \n", + "4 [Name, Last Time Updated, Last Date Updated, W... \n", "\n", " columns_field_name \n", - "0 [mi, exam_no, parent_lgy_credit, first_name, l... \n", - "1 [vehicle_vin_number, last_date_updated, active... \n", - "2 [building_class, equipment, gis_council_distri... \n", - "3 [type, drug_test, medical_clearance_form, othe... \n", - "4 [last_time_updated, wheelchair_accessible_trai... " + "0 [last_name, sibling_lgy_credit, group_no, list... \n", + "1 [certification_date, permit_license_number, li... \n", + "2 [proposed_dwelling_units, equipment, plumbing,... \n", + "3 [app_no, status, driver_exam, defensive_drivin... \n", + "4 [name, last_time_updated, last_date_updated, w... " ] }, - "execution_count": 7, + "execution_count": 8, "metadata": {}, "output_type": "execute_result" } @@ -793,7 +826,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 9, "metadata": {}, "outputs": [ { @@ -833,22 +866,22 @@ " \n", " 0\n", " [Text, Text, Text, Text, Text, Text, Text, Cal...\n", - " [A candidate’s middle initial (MI) as it appea...\n", + " [A candidate’s last name as it appears on thei...\n", " [{'displayStyle': 'plain', 'align': 'left'}, {...\n", - " 59146\n", + " 59233\n", " official\n", " tabular\n", " table\n", " None\n", " False\n", - " 2024-01-03T14:42:55.000Z\n", + " 2024-01-05T14:39:40.000Z\n", " \n", " \n", " 1\n", - " [Text, Calendar date, Text, Text, Text, Text, ...\n", - " [Vehicle VIN Number, Last Date Updated, Permit...\n", - " [{'displayStyle': 'plain', 'align': 'left'}, {...\n", - " 428112\n", + " [Calendar date, Text, Text, Calendar date, Tex...\n", + " [Certification Date, Permit License Number, TL...\n", + " [{'view': 'date', 'align': 'left'}, {'displayS...\n", + " 428412\n", " official\n", " tabular\n", " table\n", @@ -858,10 +891,10 @@ " \n", " \n", " 2\n", - " [Text, Text, Text, Text, Text, Text, Number, N...\n", - " [Building Class, Equipment Work Type? (X=Yes,...\n", + " [Text, Text, Text, Text, Text, Text, Text, Tex...\n", + " [Proposed Dwelling Units, Equipment Work Type...\n", " [{'align': 'right'}, {'align': 'right'}, {'ali...\n", - " 53419\n", + " 53453\n", " official\n", " tabular\n", " table\n", @@ -871,10 +904,10 @@ " \n", " \n", " 3\n", - " [Text, Text, Text, Text, Text, Calendar date, ...\n", - " [This is the classification of license you hav...\n", - " [{'displayStyle': 'plain', 'align': 'left'}, {...\n", - " 38602\n", + " [Number, Text, Text, Text, Text, Text, Calenda...\n", + " [This is the number linked to your application...\n", + " [{'precisionStyle': 'standard', 'noCommas': 't...\n", + " 38608\n", " official\n", " tabular\n", " table\n", @@ -884,16 +917,16 @@ " \n", " \n", " 4\n", - " [Text, Text, Number, Text, Text, Calendar date...\n", - " [Last Time Updated, WAV if Wheelchair Accessib...\n", + " [Text, Text, Calendar date, Text, Calendar dat...\n", + " [Driver Name\\n\\n, Last Time Updated, Last Date...\n", " [{'displayStyle': 'plain', 'align': 'left'}, {...\n", - " 374143\n", + " 374397\n", " official\n", " tabular\n", " table\n", " None\n", " False\n", - " 2024-01-03T20:03:54.000Z\n", + " 2024-01-05T20:04:50.000Z\n", " \n", " \n", "\n", @@ -902,24 +935,24 @@ "text/plain": [ " columns_datatype \\\n", "0 [Text, Text, Text, Text, Text, Text, Text, Cal... \n", - "1 [Text, Calendar date, Text, Text, Text, Text, ... \n", - "2 [Text, Text, Text, Text, Text, Text, Number, N... \n", - "3 [Text, Text, Text, Text, Text, Calendar date, ... \n", - "4 [Text, Text, Number, Text, Text, Calendar date... \n", + "1 [Calendar date, Text, Text, Calendar date, Tex... \n", + "2 [Text, Text, Text, Text, Text, Text, Text, Tex... \n", + "3 [Number, Text, Text, Text, Text, Text, Calenda... \n", + "4 [Text, Text, Calendar date, Text, Calendar dat... \n", "\n", " columns_description \\\n", - "0 [A candidate’s middle initial (MI) as it appea... \n", - "1 [Vehicle VIN Number, Last Date Updated, Permit... \n", - "2 [Building Class, Equipment Work Type? (X=Yes,... \n", - "3 [This is the classification of license you hav... \n", - "4 [Last Time Updated, WAV if Wheelchair Accessib... \n", + "0 [A candidate’s last name as it appears on thei... \n", + "1 [Certification Date, Permit License Number, TL... \n", + "2 [Proposed Dwelling Units, Equipment Work Type... \n", + "3 [This is the number linked to your application... \n", + "4 [Driver Name\\n\\n, Last Time Updated, Last Date... \n", "\n", " columns_format download_count \\\n", - "0 [{'displayStyle': 'plain', 'align': 'left'}, {... 59146 \n", - "1 [{'displayStyle': 'plain', 'align': 'left'}, {... 428112 \n", - "2 [{'align': 'right'}, {'align': 'right'}, {'ali... 53419 \n", - "3 [{'displayStyle': 'plain', 'align': 'left'}, {... 38602 \n", - "4 [{'displayStyle': 'plain', 'align': 'left'}, {... 374143 \n", + "0 [{'displayStyle': 'plain', 'align': 'left'}, {... 59233 \n", + "1 [{'view': 'date', 'align': 'left'}, {'displayS... 428412 \n", + "2 [{'align': 'right'}, {'align': 'right'}, {'ali... 53453 \n", + "3 [{'precisionStyle': 'standard', 'noCommas': 't... 38608 \n", + "4 [{'displayStyle': 'plain', 'align': 'left'}, {... 374397 \n", "\n", " provenance lens_view_type lens_display_type blob_mime_type \\\n", "0 official tabular table None \n", @@ -929,14 +962,14 @@ "4 official tabular table None \n", "\n", " hide_from_data_json publication_date \n", - "0 False 2024-01-03T14:42:55.000Z \n", + "0 False 2024-01-05T14:39:40.000Z \n", "1 False 2021-04-05T13:20:47.000Z \n", "2 False 2020-06-22T18:23:35.000Z \n", "3 False 2019-12-17T18:44:57.000Z \n", - "4 False 2024-01-03T20:03:54.000Z " + "4 False 2024-01-05T20:04:50.000Z " ] }, - "execution_count": 8, + "execution_count": 9, "metadata": {}, "output_type": "execute_result" } @@ -948,7 +981,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 10, "metadata": {}, "outputs": [ { @@ -1006,19 +1039,19 @@ " None\n", " None\n", " dataset\n", - " 2024-01-03T14:42:55.000Z\n", + " 2024-01-05T14:39:40.000Z\n", " 2016-06-14T21:12:15.000Z\n", " ...\n", " table\n", " None\n", " False\n", - " 2024-01-03T14:42:55.000Z\n", - " 10109.0\n", - " 23489.0\n", - " 2524130.0\n", - " 13.303495\n", - " 14.519759\n", - " 21.267355\n", + " 2024-01-05T14:39:40.000Z\n", + " 4952.0\n", + " 24028.0\n", + " 2526220.0\n", + " 12.274087\n", + " 14.552489\n", + " 21.268549\n", " \n", " \n", " 1\n", @@ -1030,19 +1063,19 @@ " None\n", " None\n", " dataset\n", - " 2024-01-03T19:55:40.000Z\n", + " 2024-01-05T19:54:11.000Z\n", " 2015-07-16T17:33:32.000Z\n", " ...\n", " table\n", " None\n", " False\n", " 2021-04-05T13:20:47.000Z\n", - " 7197.0\n", - " 35932.0\n", - " 2505874.0\n", - " 12.813380\n", - " 15.133022\n", - " 21.256883\n", + " 7819.0\n", + " 35790.0\n", + " 2509728.0\n", + " 12.932953\n", + " 15.127309\n", + " 21.259100\n", " \n", " \n", " 2\n", @@ -1054,19 +1087,19 @@ " None\n", " None\n", " dataset\n", - " 2024-01-02T21:10:41.000Z\n", + " 2024-01-05T21:01:38.000Z\n", " 2013-04-18T15:18:56.000Z\n", " ...\n", " table\n", " None\n", " False\n", " 2020-06-22T18:23:35.000Z\n", - " 406.0\n", - " 1833.0\n", - " 2339071.0\n", - " 8.668885\n", - " 10.840778\n", - " 21.157505\n", + " 463.0\n", + " 1772.0\n", + " 2339232.0\n", + " 8.857981\n", + " 10.791977\n", + " 21.157604\n", " \n", " \n", " 3\n", @@ -1078,19 +1111,19 @@ " None\n", " None\n", " dataset\n", - " 2024-01-03T17:11:19.000Z\n", + " 2024-01-05T23:02:50.000Z\n", " 2016-05-17T18:43:43.000Z\n", " ...\n", " table\n", " None\n", " False\n", " 2019-12-17T18:44:57.000Z\n", - " 158.0\n", - " 963.0\n", - " 1724090.0\n", - " 7.312883\n", - " 9.912889\n", - " 20.717404\n", + " 191.0\n", + " 980.0\n", + " 1724181.0\n", + " 7.584963\n", + " 9.938109\n", + " 20.717481\n", " \n", " \n", " 4\n", @@ -1102,19 +1135,19 @@ " None\n", " None\n", " dataset\n", - " 2024-01-03T20:03:54.000Z\n", + " 2024-01-05T20:04:51.000Z\n", " 2015-07-16T17:24:02.000Z\n", " ...\n", " table\n", " None\n", " False\n", - " 2024-01-03T20:03:54.000Z\n", - " 2749.0\n", - " 12556.0\n", - " 1350564.0\n", - " 11.425216\n", - " 13.616204\n", - " 20.365132\n", + " 2024-01-05T20:04:50.000Z\n", + " 2923.0\n", + " 12612.0\n", + " 1351908.0\n", + " 11.513728\n", + " 13.622624\n", + " 20.366567\n", " \n", " \n", "\n", @@ -1144,11 +1177,11 @@ "4 Taxi and Limousine Commission (TLC) None \n", "\n", " contact_email type updatedAt createdAt \\\n", - "0 None dataset 2024-01-03T14:42:55.000Z 2016-06-14T21:12:15.000Z \n", - "1 None dataset 2024-01-03T19:55:40.000Z 2015-07-16T17:33:32.000Z \n", - "2 None dataset 2024-01-02T21:10:41.000Z 2013-04-18T15:18:56.000Z \n", - "3 None dataset 2024-01-03T17:11:19.000Z 2016-05-17T18:43:43.000Z \n", - "4 None dataset 2024-01-03T20:03:54.000Z 2015-07-16T17:24:02.000Z \n", + "0 None dataset 2024-01-05T14:39:40.000Z 2016-06-14T21:12:15.000Z \n", + "1 None dataset 2024-01-05T19:54:11.000Z 2015-07-16T17:33:32.000Z \n", + "2 None dataset 2024-01-05T21:01:38.000Z 2013-04-18T15:18:56.000Z \n", + "3 None dataset 2024-01-05T23:02:50.000Z 2016-05-17T18:43:43.000Z \n", + "4 None dataset 2024-01-05T20:04:51.000Z 2015-07-16T17:24:02.000Z \n", "\n", " ... lens_display_type blob_mime_type hide_from_data_json \\\n", "0 ... table None False \n", @@ -1158,36 +1191,36 @@ "4 ... table None False \n", "\n", " publication_date page_views_last_week page_views_last_month \\\n", - "0 2024-01-03T14:42:55.000Z 10109.0 23489.0 \n", - "1 2021-04-05T13:20:47.000Z 7197.0 35932.0 \n", - "2 2020-06-22T18:23:35.000Z 406.0 1833.0 \n", - "3 2019-12-17T18:44:57.000Z 158.0 963.0 \n", - "4 2024-01-03T20:03:54.000Z 2749.0 12556.0 \n", + "0 2024-01-05T14:39:40.000Z 4952.0 24028.0 \n", + "1 2021-04-05T13:20:47.000Z 7819.0 35790.0 \n", + "2 2020-06-22T18:23:35.000Z 463.0 1772.0 \n", + "3 2019-12-17T18:44:57.000Z 191.0 980.0 \n", + "4 2024-01-05T20:04:50.000Z 2923.0 12612.0 \n", "\n", " page_views_total page_views_last_week_log page_views_last_month_log \\\n", - "0 2524130.0 13.303495 14.519759 \n", - "1 2505874.0 12.813380 15.133022 \n", - "2 2339071.0 8.668885 10.840778 \n", - "3 1724090.0 7.312883 9.912889 \n", - "4 1350564.0 11.425216 13.616204 \n", + "0 2526220.0 12.274087 14.552489 \n", + "1 2509728.0 12.932953 15.127309 \n", + "2 2339232.0 8.857981 10.791977 \n", + "3 1724181.0 7.584963 9.938109 \n", + "4 1351908.0 11.513728 13.622624 \n", "\n", " page_views_total_log \n", - "0 21.267355 \n", - "1 21.256883 \n", - "2 21.157505 \n", - "3 20.717404 \n", - "4 20.365132 \n", + "0 21.268549 \n", + "1 21.259100 \n", + "2 21.157604 \n", + "3 20.717481 \n", + "4 20.366567 \n", "\n", "[5 rows x 30 columns]" ] }, - "execution_count": 9, + "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "# explode page_view columns and expand as new columns\n", + "# explode page_view column and expand elements inside as new columns\n", "df = pd.concat(\n", " [df.drop(['page_views'], axis=1), df['page_views'].apply(pd.Series)],\n", " axis=1\n", @@ -1199,7 +1232,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 11, "metadata": {}, "outputs": [ { @@ -1216,7 +1249,7 @@ " 2 parent_fxf 3410 non-null object \n", " 3 description 3410 non-null object \n", " 4 attribution 3210 non-null object \n", - " 5 attribution_link 454 non-null object \n", + " 5 attribution_link 455 non-null object \n", " 6 contact_email 0 non-null object \n", " 7 type 3410 non-null object \n", " 8 updatedAt 3410 non-null object \n", @@ -1253,7 +1286,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 12, "metadata": {}, "outputs": [ { @@ -1311,19 +1344,19 @@ " None\n", " None\n", " dataset\n", - " 2024-01-03T14:42:55.000Z\n", + " 2024-01-05T14:39:40.000Z\n", " 2016-06-14 21:12:15+00:00\n", " ...\n", - " 10109.0\n", - " 23489.0\n", - " 2524130.0\n", - " 13.303495\n", - " 14.519759\n", - " 21.267355\n", - " 2759\n", + " 4952.0\n", + " 24028.0\n", + " 2526220.0\n", + " 12.274087\n", + " 14.552489\n", + " 21.268549\n", + " 2761\n", " 2016-06-14\n", - " 21.44\n", - " 914.87\n", + " 21.45\n", + " 914.97\n", " \n", " \n", " 1\n", @@ -1335,19 +1368,19 @@ " None\n", " None\n", " dataset\n", - " 2024-01-03T19:55:40.000Z\n", + " 2024-01-05T19:54:11.000Z\n", " 2015-07-16 17:33:32+00:00\n", " ...\n", - " 7197.0\n", - " 35932.0\n", - " 2505874.0\n", - " 12.813380\n", - " 15.133022\n", - " 21.256883\n", - " 3093\n", + " 7819.0\n", + " 35790.0\n", + " 2509728.0\n", + " 12.932953\n", + " 15.127309\n", + " 21.259100\n", + " 3095\n", " 2015-07-16\n", - " 138.41\n", - " 810.18\n", + " 138.42\n", + " 810.90\n", " \n", " \n", " 2\n", @@ -1359,19 +1392,19 @@ " None\n", " None\n", " dataset\n", - " 2024-01-02T21:10:41.000Z\n", + " 2024-01-05T21:01:38.000Z\n", " 2013-04-18 15:18:56+00:00\n", " ...\n", - " 406.0\n", - " 1833.0\n", - " 2339071.0\n", - " 8.668885\n", - " 10.840778\n", - " 21.157505\n", - " 3912\n", + " 463.0\n", + " 1772.0\n", + " 2339232.0\n", + " 8.857981\n", + " 10.791977\n", + " 21.157604\n", + " 3914\n", " 2013-04-18\n", " 13.66\n", - " 597.92\n", + " 597.66\n", " \n", " \n", " 3\n", @@ -1383,19 +1416,19 @@ " None\n", " None\n", " dataset\n", - " 2024-01-03T17:11:19.000Z\n", + " 2024-01-05T23:02:50.000Z\n", " 2016-05-17 18:43:43+00:00\n", " ...\n", - " 158.0\n", - " 963.0\n", - " 1724090.0\n", - " 7.312883\n", - " 9.912889\n", - " 20.717404\n", - " 2787\n", + " 191.0\n", + " 980.0\n", + " 1724181.0\n", + " 7.584963\n", + " 9.938109\n", + " 20.717481\n", + " 2789\n", " 2016-05-17\n", - " 13.85\n", - " 618.62\n", + " 13.84\n", + " 618.21\n", " \n", " \n", " 4\n", @@ -1407,19 +1440,19 @@ " None\n", " None\n", " dataset\n", - " 2024-01-03T20:03:54.000Z\n", + " 2024-01-05T20:04:51.000Z\n", " 2015-07-16 17:24:02+00:00\n", " ...\n", - " 2749.0\n", - " 12556.0\n", - " 1350564.0\n", - " 11.425216\n", - " 13.616204\n", - " 20.365132\n", - " 3093\n", + " 2923.0\n", + " 12612.0\n", + " 1351908.0\n", + " 11.513728\n", + " 13.622624\n", + " 20.366567\n", + " 3095\n", " 2015-07-16\n", - " 120.96\n", - " 436.65\n", + " 120.97\n", + " 436.80\n", " \n", " \n", "\n", @@ -1449,44 +1482,46 @@ "4 Taxi and Limousine Commission (TLC) None \n", "\n", " contact_email type updatedAt createdAt \\\n", - "0 None dataset 2024-01-03T14:42:55.000Z 2016-06-14 21:12:15+00:00 \n", - "1 None dataset 2024-01-03T19:55:40.000Z 2015-07-16 17:33:32+00:00 \n", - "2 None dataset 2024-01-02T21:10:41.000Z 2013-04-18 15:18:56+00:00 \n", - "3 None dataset 2024-01-03T17:11:19.000Z 2016-05-17 18:43:43+00:00 \n", - "4 None dataset 2024-01-03T20:03:54.000Z 2015-07-16 17:24:02+00:00 \n", + "0 None dataset 2024-01-05T14:39:40.000Z 2016-06-14 21:12:15+00:00 \n", + "1 None dataset 2024-01-05T19:54:11.000Z 2015-07-16 17:33:32+00:00 \n", + "2 None dataset 2024-01-05T21:01:38.000Z 2013-04-18 15:18:56+00:00 \n", + "3 None dataset 2024-01-05T23:02:50.000Z 2016-05-17 18:43:43+00:00 \n", + "4 None dataset 2024-01-05T20:04:51.000Z 2015-07-16 17:24:02+00:00 \n", "\n", " ... page_views_last_week page_views_last_month page_views_total \\\n", - "0 ... 10109.0 23489.0 2524130.0 \n", - "1 ... 7197.0 35932.0 2505874.0 \n", - "2 ... 406.0 1833.0 2339071.0 \n", - "3 ... 158.0 963.0 1724090.0 \n", - "4 ... 2749.0 12556.0 1350564.0 \n", + "0 ... 4952.0 24028.0 2526220.0 \n", + "1 ... 7819.0 35790.0 2509728.0 \n", + "2 ... 463.0 1772.0 2339232.0 \n", + "3 ... 191.0 980.0 1724181.0 \n", + "4 ... 2923.0 12612.0 1351908.0 \n", "\n", " page_views_last_week_log page_views_last_month_log page_views_total_log \\\n", - "0 13.303495 14.519759 21.267355 \n", - "1 12.813380 15.133022 21.256883 \n", - "2 8.668885 10.840778 21.157505 \n", - "3 7.312883 9.912889 20.717404 \n", - "4 11.425216 13.616204 20.365132 \n", + "0 12.274087 14.552489 21.268549 \n", + "1 12.932953 15.127309 21.259100 \n", + "2 8.857981 10.791977 21.157604 \n", + "3 7.584963 9.938109 20.717481 \n", + "4 11.513728 13.622624 20.366567 \n", "\n", " days_elapsed created_date download_per_day page_views_per_day \n", - "0 2759 2016-06-14 21.44 914.87 \n", - "1 3093 2015-07-16 138.41 810.18 \n", - "2 3912 2013-04-18 13.66 597.92 \n", - "3 2787 2016-05-17 13.85 618.62 \n", - "4 3093 2015-07-16 120.96 436.65 \n", + "0 2761 2016-06-14 21.45 914.97 \n", + "1 3095 2015-07-16 138.42 810.90 \n", + "2 3914 2013-04-18 13.66 597.66 \n", + "3 2789 2016-05-17 13.84 618.21 \n", + "4 3095 2015-07-16 120.97 436.80 \n", "\n", "[5 rows x 34 columns]" ] }, - "execution_count": 11, + "execution_count": 12, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "# convert to datetime\n", + "# get today's date\n", "today = datetime.now(timezone.utc)\n", + "\n", + "# convert to datetime\n", "df['createdAt'] = pd.to_datetime(df['createdAt'])\n", "\n", "# calculate days elapsed and format date column\n", @@ -1501,9 +1536,197 @@ "df.head()" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "For metadata analytics, we exclude the datasets below, as they are not specifically flood related and are used in many other ways:\n", + "- 311 Service Requests from 2010 to Present\n", + "- Building Footprints\n", + "- Primary Land Use Tax Lot Output - Map (MapPLUTO)\n", + "\n" + ] + }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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0Hurricane Evacuation Zonesuihr-hn7s
1Sandy Inundation Zoneuyj8-7rv5
2NYC Stormwater Flood Map - Moderate Flood with...7r5q-vr7p
3NYC Stormwater Flood Map - Moderate Flood with...5rzh-cyqd
4NYC Stormwater Flood Map - Extreme Flood with ...w8eg-8ha6
5Projected Sea Level Rise6an6-9htp
6Sea Level Rise Maps (2020s 100-year Floodplain)ezfn-5dsb
7Sea Level Rise Maps (2020s 500-year Floodplain)ajyu-7sgg
8Sea Level Rise Maps (2050s 100-year Floodplain)hbw8-2bah
9Sea Level Rise Maps (2050s 500-year Floodplain)qwca-zqw3
102050s Mean Sea Level3vjp-ybhy
112080s Mean Sea Levelcyvg-fsk8
122100s Mean Sea Levelq7rf-ks4h
132020s Mean Monthly High Waterebsy-4b6x
142050s Mean Monthly High Waterp8e8-yh4m
152080s Mean Monthly High Wateramfa-s2y8
162100s Mean Monthly High Watermzds-2cdc
17Building Elevation and Subgrade (BES)bsin-59hv
18DEP Green Infrastructurespjh-pz7h
191 foot Digital Elevation Model (DEM)dpc8-z3jc
20DEPs Citywide Parcel-Based Impervious Area GIS...uex9-rfq8
\n", + "
" + ], + "text/plain": [ + " name id\n", + "0 Hurricane Evacuation Zones uihr-hn7s\n", + "1 Sandy Inundation Zone uyj8-7rv5\n", + "2 NYC Stormwater Flood Map - Moderate Flood with... 7r5q-vr7p\n", + "3 NYC Stormwater Flood Map - Moderate Flood with... 5rzh-cyqd\n", + "4 NYC Stormwater Flood Map - Extreme Flood with ... w8eg-8ha6\n", + "5 Projected Sea Level Rise 6an6-9htp\n", + "6 Sea Level Rise Maps (2020s 100-year Floodplain) ezfn-5dsb\n", + "7 Sea Level Rise Maps (2020s 500-year Floodplain) ajyu-7sgg\n", + "8 Sea Level Rise Maps (2050s 100-year Floodplain) hbw8-2bah\n", + "9 Sea Level Rise Maps (2050s 500-year Floodplain) qwca-zqw3\n", + "10 2050s Mean Sea Level 3vjp-ybhy\n", + "11 2080s Mean Sea Level cyvg-fsk8\n", + "12 2100s Mean Sea Level q7rf-ks4h\n", + "13 2020s Mean Monthly High Water ebsy-4b6x\n", + "14 2050s Mean Monthly High Water p8e8-yh4m\n", + "15 2080s Mean Monthly High Water amfa-s2y8\n", + "16 2100s Mean Monthly High Water mzds-2cdc\n", + "17 Building Elevation and Subgrade (BES) bsin-59hv\n", + "18 DEP Green Infrastructure spjh-pz7h\n", + "19 1 foot Digital Elevation Model (DEM) dpc8-z3jc\n", + "20 DEPs Citywide Parcel-Based Impervious Area GIS... uex9-rfq8" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# read in name, ids of flood datasets\n", + "datasets_df = pd.read_csv('datasets.csv')\n", + "\n", + "datasets_df" + ] + }, + { + "cell_type": "code", + "execution_count": 14, "metadata": { "scrolled": false }, @@ -1512,7 +1735,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "shape of data: (22, 34)\n" + "shape of data: (21, 34)\n" ] }, { @@ -1573,16 +1796,16 @@ " 2023-12-13T02:12:05.000Z\n", " 2015-11-09 23:21:21+00:00\n", " ...\n", - " 61.0\n", - " 525.0\n", - " 53533.0\n", - " 5.954196\n", - " 9.038919\n", - " 15.708168\n", - " 2976\n", + " 70.0\n", + " 486.0\n", + " 53564.0\n", + " 6.149747\n", + " 8.927778\n", + " 15.709003\n", + " 2979\n", " 2015-11-09\n", - " 6.82\n", - " 17.99\n", + " 6.81\n", + " 17.98\n", " \n", " \n", " 1\n", @@ -1597,16 +1820,16 @@ " 2021-09-16T16:38:40.000Z\n", " 2013-07-23 21:56:45+00:00\n", " ...\n", - " 172.0\n", - " 815.0\n", - " 42580.0\n", - " 7.434628\n", - " 9.672425\n", - " 15.377922\n", - " 3816\n", + " 174.0\n", + " 788.0\n", + " 42640.0\n", + " 7.451211\n", + " 9.623881\n", + " 15.379954\n", + " 3818\n", " 2013-07-23\n", " 0.63\n", - " 11.16\n", + " 11.17\n", " \n", " \n", " 2\n", @@ -1621,13 +1844,13 @@ " 2022-09-23T19:23:09.000Z\n", " 2013-08-09 23:09:58+00:00\n", " ...\n", - " 65.0\n", - " 336.0\n", - " 32189.0\n", - " 6.044394\n", - " 8.396605\n", - " 14.974325\n", - " 3798\n", + " 76.0\n", + " 331.0\n", + " 32217.0\n", + " 6.266787\n", + " 8.375039\n", + " 14.975579\n", + " 3801\n", " 2013-08-09\n", " 1.72\n", " 8.48\n", @@ -1645,16 +1868,16 @@ " 2021-09-16T16:43:22.000Z\n", " 2013-07-23 21:05:21+00:00\n", " ...\n", - " 96.0\n", - " 411.0\n", - " 26003.0\n", - " 6.599913\n", - " 8.686501\n", - " 14.666446\n", - " 3816\n", + " 124.0\n", + " 425.0\n", + " 26052.0\n", + " 6.965784\n", + " 8.734710\n", + " 14.669162\n", + " 3818\n", " 2013-07-23\n", - " 55.47\n", - " 6.81\n", + " 55.44\n", + " 6.82\n", " \n", " \n", " 4\n", @@ -1669,16 +1892,16 @@ " 2023-12-13T02:19:50.000Z\n", " 2017-08-31 20:33:51+00:00\n", " ...\n", - " 64.0\n", - " 367.0\n", - " 14816.0\n", - " 6.022368\n", - " 8.523562\n", - " 13.854966\n", - " 2316\n", + " 84.0\n", + " 359.0\n", + " 14854.0\n", + " 6.409391\n", + " 8.491853\n", + " 13.858661\n", + " 2318\n", " 2017-08-31\n", - " 12.00\n", - " 6.40\n", + " 11.99\n", + " 6.41\n", " \n", " \n", "\n", @@ -1715,61 +1938,38 @@ "4 None map 2023-12-13T02:19:50.000Z 2017-08-31 20:33:51+00:00 \n", "\n", " ... page_views_last_week page_views_last_month page_views_total \\\n", - "0 ... 61.0 525.0 53533.0 \n", - "1 ... 172.0 815.0 42580.0 \n", - "2 ... 65.0 336.0 32189.0 \n", - "3 ... 96.0 411.0 26003.0 \n", - "4 ... 64.0 367.0 14816.0 \n", + "0 ... 70.0 486.0 53564.0 \n", + "1 ... 174.0 788.0 42640.0 \n", + "2 ... 76.0 331.0 32217.0 \n", + "3 ... 124.0 425.0 26052.0 \n", + "4 ... 84.0 359.0 14854.0 \n", "\n", " page_views_last_week_log page_views_last_month_log page_views_total_log \\\n", - "0 5.954196 9.038919 15.708168 \n", - "1 7.434628 9.672425 15.377922 \n", - "2 6.044394 8.396605 14.974325 \n", - "3 6.599913 8.686501 14.666446 \n", - "4 6.022368 8.523562 13.854966 \n", + "0 6.149747 8.927778 15.709003 \n", + "1 7.451211 9.623881 15.379954 \n", + "2 6.266787 8.375039 14.975579 \n", + "3 6.965784 8.734710 14.669162 \n", + "4 6.409391 8.491853 13.858661 \n", "\n", " days_elapsed created_date download_per_day page_views_per_day \n", - "0 2976 2015-11-09 6.82 17.99 \n", - "1 3816 2013-07-23 0.63 11.16 \n", - "2 3798 2013-08-09 1.72 8.48 \n", - "3 3816 2013-07-23 55.47 6.81 \n", - "4 2316 2017-08-31 12.00 6.40 \n", + "0 2979 2015-11-09 6.81 17.98 \n", + "1 3818 2013-07-23 0.63 11.17 \n", + "2 3801 2013-08-09 1.72 8.48 \n", + "3 3818 2013-07-23 55.44 6.82 \n", + "4 2318 2017-08-31 11.99 6.41 \n", "\n", "[5 rows x 34 columns]" ] }, - "execution_count": 12, + "execution_count": 14, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "ids = [\n", - " 'uihr-hn7s',\n", - " 'uyj8-7rv5',\n", - " '7r5q-vr7p',\n", - " '5rzh-cyqd',\n", - " 'w8eg-8ha6',\n", - " '6an6-9htp',\n", - " 'ezfn-5dsb',\n", - " 'ajyu-7sgg',\n", - " 'hbw8-2bah',\n", - " 'qwca-zqw3',\n", - " '3vjp-ybhy',\n", - " 'cyvg-fsk8',\n", - " 'q7rf-ks4h',\n", - " 'ebsy-4b6x',\n", - " 'p8e8-yh4m',\n", - " 'amfa-s2y8',\n", - " 'mzds-2cdc',\n", - " 'bsin-59hv',\n", - " 'spjh-pz7h',\n", - " 'dpc8-z3jc',\n", - " 'uex9-rfq8',\n", - " 'hgx4-8ukb',\n", - "]\n", + "ids = datasets_df['id'].values\n", "\n", - "# select dataset ids in df\n", + "# select flood dataset ids in df\n", "df = (\n", " df\n", " .loc[df['id'].isin(ids)]\n", @@ -1780,6 +1980,109 @@ "df.head()" ] }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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attributioncount
0Mayor's Office of Climate Resiliency7
1Department of Environmental Protection (DEP)4
2Mayor's Office of Climate and Sustainability4
3Department of City Planning (DCP)1
4Department of Small Business Services (SBS)1
5NYC Management Department (NYCEM)1
6Office of Technology and Innovation (OTI)1
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" + ], + "text/plain": [ + " attribution count\n", + "0 Mayor's Office of Climate Resiliency 7\n", + "1 Department of Environmental Protection (DEP) 4\n", + "2 Mayor's Office of Climate and Sustainability 4\n", + "3 Department of City Planning (DCP) 1\n", + "4 Department of Small Business Services (SBS) 1\n", + "5 NYC Management Department (NYCEM) 1\n", + "6 Office of Technology and Innovation (OTI) 1" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "(df\n", + " .groupby(by='attribution')['id']\n", + " .count()\n", + " .rename('count')\n", + " .sort_values(ascending=False)\n", + " .reset_index()\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Table xx: Count of datasets related to flooding by agency on NYC Open Data." + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -1790,7 +2093,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 16, "metadata": { "scrolled": false }, @@ -1830,7 +2133,7 @@ " ezfn-5dsb\n", " 2013-07-23\n", " 211663\n", - " 55.47\n", + " 55.44\n", " \n", " \n", " 2\n", @@ -1838,7 +2141,7 @@ " uihr-hn7s\n", " 2015-07-14\n", " 41530\n", - " 13.42\n", + " 13.41\n", " \n", " \n", " 3\n", @@ -1846,7 +2149,7 @@ " spjh-pz7h\n", " 2017-08-31\n", " 27796\n", - " 12.00\n", + " 11.99\n", " \n", " \n", " 4\n", @@ -1854,7 +2157,7 @@ " uyj8-7rv5\n", " 2015-11-09\n", " 20289\n", - " 6.82\n", + " 6.81\n", " \n", " \n", " 5\n", @@ -1869,8 +2172,8 @@ " NYC Stormwater Flood Map - Extreme Flood with ...\n", " w8eg-8ha6\n", " 2021-06-07\n", - " 2991\n", - " 3.18\n", + " 3002\n", + " 3.19\n", " \n", " \n", " 7\n", @@ -1894,14 +2197,14 @@ " 7r5q-vr7p\n", " 2022-08-17\n", " 2089\n", - " 4.14\n", + " 4.13\n", " \n", " \n", " 10\n", " Projected Sea Level Rise\n", " 6an6-9htp\n", " 2017-07-12\n", - " 1897\n", + " 1898\n", " 0.80\n", " \n", " \n", @@ -1922,19 +2225,19 @@ "10 Projected Sea Level Rise 6an6-9htp 2017-07-12 \n", "\n", " download_count download_per_day \n", - "1 211663 55.47 \n", - "2 41530 13.42 \n", - "3 27796 12.00 \n", - "4 20289 6.82 \n", + "1 211663 55.44 \n", + "2 41530 13.41 \n", + "3 27796 11.99 \n", + "4 20289 6.81 \n", "5 6524 1.72 \n", - "6 2991 3.18 \n", + "6 3002 3.19 \n", "7 2541 0.67 \n", "8 2414 0.63 \n", - "9 2089 4.14 \n", - "10 1897 0.80 " + "9 2089 4.13 \n", + "10 1898 0.80 " ] }, - "execution_count": 13, + "execution_count": 16, "metadata": {}, "output_type": "execute_result" } @@ -1959,7 +2262,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 17, "metadata": {}, "outputs": [ { @@ -1997,7 +2300,7 @@ " ezfn-5dsb\n", " 2013-07-23\n", " 211663\n", - " 55.47\n", + " 55.44\n", " \n", " \n", " 2\n", @@ -2005,7 +2308,7 @@ " uihr-hn7s\n", " 2015-07-14\n", " 41530\n", - " 13.42\n", + " 13.41\n", " \n", " \n", " 3\n", @@ -2013,7 +2316,7 @@ " spjh-pz7h\n", " 2017-08-31\n", " 27796\n", - " 12.00\n", + " 11.99\n", " \n", " \n", " 4\n", @@ -2021,7 +2324,7 @@ " uyj8-7rv5\n", " 2015-11-09\n", " 20289\n", - " 6.82\n", + " 6.81\n", " \n", " \n", " 5\n", @@ -2029,30 +2332,30 @@ " 7r5q-vr7p\n", " 2022-08-17\n", " 2089\n", - " 4.14\n", + " 4.13\n", " \n", " \n", " 6\n", " NYC Stormwater Flood Map - Extreme Flood with ...\n", " w8eg-8ha6\n", " 2021-06-07\n", - " 2991\n", - " 3.18\n", + " 3002\n", + " 3.19\n", " \n", " \n", " 7\n", " Building Elevation and Subgrade (BES)\n", " bsin-59hv\n", " 2023-09-12\n", - " 254\n", - " 2.25\n", + " 256\n", + " 2.23\n", " \n", " \n", " 8\n", " NYC Stormwater Flood Map - Moderate Flood with...\n", " 5rzh-cyqd\n", " 2021-06-07\n", - " 1838\n", + " 1847\n", " 1.96\n", " \n", " \n", @@ -2068,7 +2371,7 @@ " DEP's Citywide Parcel-Based Impervious Area GI...\n", " uex9-rfq8\n", " 2020-07-13\n", - " 1495\n", + " 1497\n", " 1.18\n", " \n", " \n", @@ -2089,19 +2392,19 @@ "10 DEP's Citywide Parcel-Based Impervious Area GI... uex9-rfq8 2020-07-13 \n", "\n", " download_count download_per_day \n", - "1 211663 55.47 \n", - "2 41530 13.42 \n", - "3 27796 12.00 \n", - "4 20289 6.82 \n", - "5 2089 4.14 \n", - "6 2991 3.18 \n", - "7 254 2.25 \n", - "8 1838 1.96 \n", + "1 211663 55.44 \n", + "2 41530 13.41 \n", + "3 27796 11.99 \n", + "4 20289 6.81 \n", + "5 2089 4.13 \n", + "6 3002 3.19 \n", + "7 256 2.23 \n", + "8 1847 1.96 \n", "9 6524 1.72 \n", - "10 1495 1.18 " + "10 1497 1.18 " ] }, - "execution_count": 14, + "execution_count": 17, "metadata": {}, "output_type": "execute_result" } @@ -2133,7 +2436,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 18, "metadata": {}, "outputs": [ { @@ -2172,20 +2475,20 @@ " Sandy Inundation Zone\n", " uyj8-7rv5\n", " 2015-11-09\n", - " 17.99\n", - " 61\n", - " 525\n", - " 53533\n", + " 17.98\n", + " 70\n", + " 486\n", + " 53564\n", " \n", " \n", " 2\n", " Sea Level Rise Maps (2050s 500-year Floodplain)\n", " qwca-zqw3\n", " 2013-07-23\n", - " 11.16\n", - " 172\n", - " 815\n", - " 42580\n", + " 11.17\n", + " 174\n", + " 788\n", + " 42640\n", " \n", " \n", " 3\n", @@ -2193,29 +2496,29 @@ " dpc8-z3jc\n", " 2013-08-09\n", " 8.48\n", - " 65\n", - " 336\n", - " 32189\n", + " 76\n", + " 331\n", + " 32217\n", " \n", " \n", " 4\n", " Sea Level Rise Maps (2020s 100-year Floodplain)\n", " ezfn-5dsb\n", " 2013-07-23\n", - " 6.81\n", - " 96\n", - " 411\n", - " 26003\n", + " 6.82\n", + " 124\n", + " 425\n", + " 26052\n", " \n", " \n", " 5\n", " DEP Green Infrastructure\n", " spjh-pz7h\n", " 2017-08-31\n", - " 6.40\n", - " 64\n", - " 367\n", - " 14816\n", + " 6.41\n", + " 84\n", + " 359\n", + " 14854\n", " \n", " \n", " 6\n", @@ -2223,29 +2526,29 @@ " uihr-hn7s\n", " 2015-07-14\n", " 3.32\n", - " 28\n", - " 107\n", - " 10275\n", + " 35\n", + " 103\n", + " 10286\n", " \n", " \n", " 7\n", " Sea Level Rise Maps (2050s 100-year Floodplain)\n", " hbw8-2bah\n", " 2013-07-23\n", - " 2.67\n", - " 47\n", - " 167\n", - " 10173\n", + " 2.68\n", + " 91\n", + " 200\n", + " 10223\n", " \n", " \n", " 8\n", " NYC Stormwater Flood Map - Extreme Flood with ...\n", " w8eg-8ha6\n", " 2021-06-07\n", - " 7.56\n", - " 30\n", - " 168\n", - " 7105\n", + " 7.57\n", + " 45\n", + " 171\n", + " 7127\n", " \n", " \n", " 9\n", @@ -2253,19 +2556,19 @@ " uex9-rfq8\n", " 2020-07-13\n", " 5.34\n", - " 17\n", - " 146\n", - " 6774\n", + " 16\n", + " 133\n", + " 6783\n", " \n", " \n", " 10\n", " NYC Stormwater Flood Map - Moderate Flood with...\n", " 7r5q-vr7p\n", " 2022-08-17\n", - " 8.66\n", - " 22\n", - " 244\n", - " 4365\n", + " 8.65\n", + " 25\n", + " 213\n", + " 4375\n", " \n", " \n", "\n", @@ -2285,31 +2588,31 @@ "10 NYC Stormwater Flood Map - Moderate Flood with... 7r5q-vr7p 2022-08-17 \n", "\n", " page_views_per_day page_views_last_week page_views_last_month \\\n", - "1 17.99 61 525 \n", - "2 11.16 172 815 \n", - "3 8.48 65 336 \n", - "4 6.81 96 411 \n", - "5 6.40 64 367 \n", - "6 3.32 28 107 \n", - "7 2.67 47 167 \n", - "8 7.56 30 168 \n", - "9 5.34 17 146 \n", - "10 8.66 22 244 \n", + "1 17.98 70 486 \n", + "2 11.17 174 788 \n", + "3 8.48 76 331 \n", + "4 6.82 124 425 \n", + "5 6.41 84 359 \n", + "6 3.32 35 103 \n", + "7 2.68 91 200 \n", + "8 7.57 45 171 \n", + "9 5.34 16 133 \n", + "10 8.65 25 213 \n", "\n", " page_views_total \n", - "1 53533 \n", - "2 42580 \n", - "3 32189 \n", - "4 26003 \n", - "5 14816 \n", - "6 10275 \n", - "7 10173 \n", - "8 7105 \n", - "9 6774 \n", - "10 4365 " + "1 53564 \n", + "2 42640 \n", + "3 32217 \n", + "4 26052 \n", + "5 14854 \n", + "6 10286 \n", + "7 10223 \n", + "8 7127 \n", + "9 6783 \n", + "10 4375 " ] }, - "execution_count": 15, + "execution_count": 18, "metadata": {}, "output_type": "execute_result" } @@ -2339,7 +2642,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 19, "metadata": {}, "outputs": [ { @@ -2378,40 +2681,40 @@ " Sandy Inundation Zone\n", " uyj8-7rv5\n", " 2015-11-09\n", - " 17.99\n", - " 61\n", - " 525\n", - " 53533\n", + " 17.98\n", + " 70\n", + " 486\n", + " 53564\n", " \n", " \n", " 2\n", " Sea Level Rise Maps (2050s 500-year Floodplain)\n", " qwca-zqw3\n", " 2013-07-23\n", - " 11.16\n", - " 172\n", - " 815\n", - " 42580\n", + " 11.17\n", + " 174\n", + " 788\n", + " 42640\n", " \n", " \n", " 3\n", " Building Elevation and Subgrade (BES)\n", " bsin-59hv\n", " 2023-09-12\n", - " 9.38\n", - " 9\n", - " 84\n", - " 1060\n", + " 9.31\n", + " 17\n", + " 81\n", + " 1071\n", " \n", " \n", " 4\n", " NYC Stormwater Flood Map - Moderate Flood with...\n", " 7r5q-vr7p\n", " 2022-08-17\n", - " 8.66\n", - " 22\n", - " 244\n", - " 4365\n", + " 8.65\n", + " 25\n", + " 213\n", + " 4375\n", " \n", " \n", " 5\n", @@ -2419,39 +2722,39 @@ " dpc8-z3jc\n", " 2013-08-09\n", " 8.48\n", - " 65\n", - " 336\n", - " 32189\n", + " 76\n", + " 331\n", + " 32217\n", " \n", " \n", " 6\n", " NYC Stormwater Flood Map - Extreme Flood with ...\n", " w8eg-8ha6\n", " 2021-06-07\n", - " 7.56\n", - " 30\n", - " 168\n", - " 7105\n", + " 7.57\n", + " 45\n", + " 171\n", + " 7127\n", " \n", " \n", " 7\n", " Sea Level Rise Maps (2020s 100-year Floodplain)\n", " ezfn-5dsb\n", " 2013-07-23\n", - " 6.81\n", - " 96\n", - " 411\n", - " 26003\n", + " 6.82\n", + " 124\n", + " 425\n", + " 26052\n", " \n", " \n", " 8\n", " DEP Green Infrastructure\n", " spjh-pz7h\n", " 2017-08-31\n", - " 6.40\n", - " 64\n", - " 367\n", - " 14816\n", + " 6.41\n", + " 84\n", + " 359\n", + " 14854\n", " \n", " \n", " 9\n", @@ -2459,19 +2762,19 @@ " uex9-rfq8\n", " 2020-07-13\n", " 5.34\n", - " 17\n", - " 146\n", - " 6774\n", + " 16\n", + " 133\n", + " 6783\n", " \n", " \n", " 10\n", " NYC Stormwater Flood Map - Moderate Flood with...\n", " 5rzh-cyqd\n", " 2021-06-07\n", - " 4.25\n", - " 31\n", - " 137\n", - " 3999\n", + " 4.26\n", + " 32\n", + " 135\n", + " 4013\n", " \n", " \n", "\n", @@ -2491,31 +2794,31 @@ "10 NYC Stormwater Flood Map - Moderate Flood with... 5rzh-cyqd 2021-06-07 \n", "\n", " page_views_per_day page_views_last_week page_views_last_month \\\n", - "1 17.99 61 525 \n", - "2 11.16 172 815 \n", - "3 9.38 9 84 \n", - "4 8.66 22 244 \n", - "5 8.48 65 336 \n", - "6 7.56 30 168 \n", - "7 6.81 96 411 \n", - "8 6.40 64 367 \n", - "9 5.34 17 146 \n", - "10 4.25 31 137 \n", + "1 17.98 70 486 \n", + "2 11.17 174 788 \n", + "3 9.31 17 81 \n", + "4 8.65 25 213 \n", + "5 8.48 76 331 \n", + "6 7.57 45 171 \n", + "7 6.82 124 425 \n", + "8 6.41 84 359 \n", + "9 5.34 16 133 \n", + "10 4.26 32 135 \n", "\n", " page_views_total \n", - "1 53533 \n", - "2 42580 \n", - "3 1060 \n", - "4 4365 \n", - "5 32189 \n", - "6 7105 \n", - "7 26003 \n", - "8 14816 \n", - "9 6774 \n", - "10 3999 " + "1 53564 \n", + "2 42640 \n", + "3 1071 \n", + "4 4375 \n", + "5 32217 \n", + "6 7127 \n", + "7 26052 \n", + "8 14854 \n", + "9 6783 \n", + "10 4013 " ] }, - "execution_count": 16, + "execution_count": 19, "metadata": {}, "output_type": "execute_result" } @@ -2545,12 +2848,12 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 20, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -2579,12 +2882,12 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 21, "metadata": {}, "outputs": [ { "data": { - "image/png": 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0pdPhTdXyjf4UffkOpfbm1Oo7XUnV1LEX8MXqs51O6Y9zT7XI+cAmwJVZbm+9BfhlZj5eJVDvA86s9usfAG+rmll7uh84vfqsz6jWg7Lvz6Ts97dW//fVzNXTvlXZ31TFvgulr8DjlKTmfspv6Q5Kf4f5VPtCltv0fwt8v49y+TulpvTrEXEbpXnurU3NbMP1RkrSdxulA+4PgdMG+K1+inIS/APl939bb29cae4HdBMlSdglyy3Cfe571bo/oJzMlvezXK/HgAF+27cDj0fErynJ2u+B31X7+PaUPkYtldOApdu/z1J+wy2pLixfTrkT6bbq2HIe5ZbvU3pZfinlYm4hpSP67yg1YAuBnZv2t8cp/R1voTSh7lHVLp5MKffrIuL3lGar/YfwOQ9r+v5vovwGdqvmfR9Yq/peb69ie0qU5ujm76m/5Sakjq6unjWk0uBVV/evy9Y7iLZVVUX7YWCDzHzXWMfTl4jYBtg+M4+vXr8feH5m7ju2kQ1NlDs3Ruz5LyMhSkfZ3wA7ZOZfxjoeTS5R7gL7XWZO6P4sE5G3iauu/ky5vbblqv0x8kfgwxHxTkrT1H2Uq2KNgIg4gHKnz5EmN9LkYg2OJEmqHfvgSJKk2plITVTTKT3vH2TlW2klSdLkNJXySJXfUMYCW2EiJTjbMvgHgUmSpPp7MT2GM5lICc6DAP/856MsXz64fkNz567OQw8N9hli9WRZFJZDN8uim2XRzbLoZll0G29lMWVKB2uuOROqHKHZREpwlgEsX9416ASnsZ4Ky6KwHLpZFt0si26WRTfLots4LYsndV2xk7EkSaodExxJklQ7JjiSJKl2THAkSVLtmOBIkqTaMcGRJEm1Y4IjSZJqxwRHkiTVjgmOJEmqHRMcSZJUOyY4kiSpdkxwpImmAxY8toT75j/KgseXQsdYByRJ489EGmxTUgfccd+/OP6cm1m8ZBnTO6dyyD5bsun6a8C4HP9OksaGNTjSBLJg0ZIVyQ3A4iXLOP6cm1mwaMkYRyZJ44sJjjSBPLzwiRXJTcPiJct4+NEnxigiSRqfTHCkCWTOrOlM75y60rTpnVOZM3PaGEUkSeOTCY40gcyesQqH7LPliiSn0Qdn9mqdYxyZJI0vdjKWJpIu2HT9NTjm4O15+NEnmDNzWklu7GAsSSsxwZEmmi6YPaOT2TM6V7yWJK3MJipJklQ7JjiSJKl2THAkSVLtmOBIkqTaMcGRJEm1Y4IjSZJqxwRHkiTVjgmOJEmqHRMcSZJUOyY4kiSpdkxwJElS7ZjgSJKk2jHBkSRJtWOCI0mSascER5Ik1Y4JjiRJqh0THEmSVDsmOJIkqXZMcCRJUu2Y4EiSpNoxwZEkSbVjgiNJkmrHBEeSJNWOCY4kSaqdVdr55hFxFfBUYEk16UBgFnAcMAM4OzOPaGcMkiRp8mlbghMRHcAmwAaZubSaNgNIYEfgL8CFEbFrZl7crjgkSdLk084anKj+vzQi5gInAbcBd2bm3QARcQawN2CCI0mSRkw7++CsCVwB7Am8DDgIWB94sGmZB4GntzEGSZI0CbWtBiczrwWubbyOiO8CRwG/aFqsA1g+mPedO3f1IcUzb96sIa1XR5ZFYTl0syy6WRbdLItulkW3iVIW7eyD8yJgemZeUU3qAO4B1mlabG3ggcG870MPLWT58q5BxTJv3izmz39kUOvUlWVRWA7dLItulkU3y6KbZdFtvJXFlCkdfVZ8tLMPzhzgqIjYHugE3kJppjonIjYC7gb2A05pYwySJGkSalsfnMz8CXAhcBNwA3BK1Wy1P3AecDvwB+DcdsUgSZImp7Y+ByczPwF8ose0K4At2rldSZI0ufkkY0mSVDsmOJIkqXZMcCRJUu2Y4EiSpNoxwZEkSbVjgiNJkmrHBEeSJNWOCY4kSaodExxJklQ7JjiSJKl2THAkSVLtmOBIkqTaMcGRJEm1Y4IjSZJqxwRHkiTVjgmOJEmqHRMcSZJUOyY4kiSpdkxwJElS7ZjgSJKk2jHBkSRJtWOCI0mSascER5Ik1Y4JjiRJqh0THEmSVDsmOJIkqXZMcCRJUu2Y4EiSpNoxwZEkSbVjgiNJkmrHBEeSJNWOCY4kSaodExxJklQ7JjiSJKl2THAkSVLtmOBIkqTaMcGRJEm1Y4IjSZJqxwRHkiTVjgmOJEmqHRMcSZJUOyY4kiSpdkxwJElS7ZjgSJKk2jHBkSRJtWOCI0mSascER5Ik1c6ACU5ErDIagUiSJI2UVmpw7o2Iz0bEBm2PRpIkaQS0kuD8B7AUuCYifhIRr4qIjjbHJUmSNGQDJjiZ+ZfMPBJ4JnAS8HXg7oj4UERMb3eAkiRJg9VS/5qI2BR4B7AfcC1wKvBK4BzgtQOs+yVgrczcPyJeDhwHzADOzswjhhG7JElSr1rpZPwL4ErgMWDbzPzPzLwAeC/w4gHWfRnwlurvGcAplIRoU2DbiNh1eOFLkiQ9WSt9cL4JrJ+ZR2Tm/Y2JmbkcWL+vlSLiKcBngc9Vk7YD7szMuzNzKXAGsPeQI5ckSepDK01U5wK7R8TqQAcwFdgoMz+emQv7We/bwMeBf6terws82DT/QeDpgw147tzVB7sKAPPmzRrSenVkWRSWQzfLoptl0c2y6GZZdJsoZdFKgnM2sCGwDnAT8HzgZ/2tEBHvAP6SmVdExP7V5ClAV9NiHcDyQcbLQw8tZPnyroEXbDJv3izmz39ksJuqJcuisBy6WRbdLItulkU3y6LbeCuLKVM6+qz4aCXB2RLYGDiR0kF4SvV3f/YF1omIm4GnAKsDGwDLmpZZG3ighe1LkiQNSisJzoOZuTQi/gg8NzN/EBFr9LdCZu7c+LuqwdkJOAi4MyI2Au6m3JF1ylADlyRJ6ksrnYwXRsR+wC3APhGxGaVGZlAy83Fgf+A84HbgD5T+PZIkSSOqlRqc91CegfNh4O3A1cDHWt1AZp4GnFb9fQWwxWCDlCRJGowBE5zM/CNwePVy3/aGI0mSNHz9JjgRsScluXkusAi4DfhSZl4yCrFJkiQNSZ99cCJib+BY4HjKreE7AacDX4+I/xyV6CRJkoagvxqcQ4GXZeZ9TdPuiIhrKXc//bCtkUmSJA1Rf3dRzeqR3AAr+uTMaF9IkiRJw9NfgrOsn3kdIx2IJEnSSGnlOTiSJEkTSn99cDaPiAW9TO8AVm1TPJIkScPWX4LzrFGLQpIkaQT1meBk5r2jGYgkSdJIsQ+OJEmqHRMcSZJUOwMmOBHx+dEIRJIkaaS0UoOze9ujkCRJGkEDjiYO/DkiLgV+ASxsTMzM49oWlSRJ0jC0kuD8o/r/mU3TutoQiyRJ0ogYMMHJzLcCRMSczHy47RFJkiQN04AJTkRsAvwIWCMitgWuAPbMzD+0OTZJkqQhaaWT8TeAQ4G/ZeYDwNeB77Q1KkmSpGFoJcGZm5mXNV5k5jeB2e0LSZIkaXhaSXC6ImJVqo7FEbE2MLWtUUmSJA1DKwnON4GfAk+tHvp3XTVNkiRpXGrlLqpTIuIu4FVAJ3BAc5OVJEnSeNPKc3AAfg/MBZYBv25fOJIkScPXylhUewJ3Ae8DDgfuioiXtDkuSZKkIWulBuezwA6ZeRtARGwNnAxs3c7AJEmShqqVTsaLGskNQGbeiEM1SJKkcayVGpyLI+LDlAf+LQPeDPwuItYEOjLzH/2uLUmSNMpaSXA+Qnnuzed7TH8TpSbHZ+JIkqRxpZXbxDtHIxBJkqSR0kofHEmSpAnFBEeSJNWOCY4kSaqdVh70d3Qv077WnnAkSZKGr89OxhHxaWBNYN+IWKNpViewC3Bom2OTJEkakv7uoroe2BZYDjzUNH0p8MZ2BiVJkjQcfSY4mXkRcFFEXJyZDrApSZImjFYe9PeviDgVeArQ0ZiYma9pW1SSJEnD0EqC8z3g18DVOAaVJEmaAFpJcGZm5iFtj0SSJGmEtPIcnDsjYp22RyJJkjRCWqnBmQL8PiJuAB5rTLQPjiRJGq9aSXDOr/5JkiRNCK2MJv690QhEkiRppAyY4ETEI/Ry91Rmzm5LRJIkScPUShPVc5v+ng68AXi0PeFIkiQNXytNVPf2mPTpiLge+FJ7QpIkSRqeVm4TX0lEPBt4WhtikSRJGhGD7YMzhTKa+OHtDEqSJGk4BtsHpwt4ODMXtCkeSZKkYWupD05E7APsSqm9uRT471bePCKOAl5HSYy+m5nHRcTLgeOAGcDZmXnEUIOXJEnqzYB9cCLig8DHgFuAG4H3R8SASUlE7Ai8FNgc2AZ4b0RsAZwCvBbYFNg2InYdeviSJElP1kon4zcDO2TmVzPzOGBH4I0DrZSZVwMvycylwFMptUVzgDsz8+5q+hnA3kMNXpIkqTct3UXV3OcmM/8FLGlxvSUR8WngduAKYF3gwaZFHgSe3nK0kiRJLWilk/E9EXEo8M3q9buB+1rdQGYeGRHHABcAm7DyU5E7gOWtvhfA3LmrD2bxFebNmzWk9erIsigsh26WRTfLoptl0c2y6DZRyqKVBOddwP+j+8F+19FCE1X1vJxVM/PmzFwUET+kdDhe1rTY2sADgwn4oYcWsnz5k0aO6Ne8ebOYP/+RQa1TV5ZFYTl0syy6WRbdLItulkW38VYWU6Z09Fnx0cpdVH8FdoqI1YApmbmwxe1uSHnq8YsotTavBb4NfDEiNgLuBvajdDqWJEkaMf32wYmIT0fEywAycxHwzYg4spU3zsyLgAuBm4AbgF9l5lnA/sB5lH45fwDOHXL0kiRJveizBiciDgdewcrPvPk6cHxEPFLdUdWvzPwU8Kke064AthhKsJIkSa3orwbnjcBumfmnxoTM/A2wB6UWRpIkaVzqL8FZlpn/7DkxM/+PlTsKS5IkjSsD9cGZ1su06ZQhGyRJksal/hKcnwDHRkRHY0L19xcoD+2TJEkal/q7TfyzwI+AP0fE9ZRkaFvKnU97tT80SZKkoekzwcnMxcCuEbEDZbDM5cBxmXndaAUnSZI0FK086O8a4JpRiEWSJGlEtDTYpiRJ0kRigiNJkmrHBEeSJNVOf0M1nEoZJLNXmfm2tkQkSZI0TP3V4PwO+D0wB9gcuI0ycOYmtNA5WZIkaaz0d5v4lwEiYk9gh2o0cSLiJOCq0QlPkiRp8Frpg/M0YHHT6y5grfaEI0mSNHytNDVdDlwSEWcCHcCbgR+3NSpJkqRhaCXBeS/wbmDP6vXZwLfbFpEkSdIwtfIk46XA16p/jQE3NwLubG9okiRJQzNgghMRBwHHAjObJs8H1m5XUJIkScPRSifjDwM7AxcCWwGfBM5vZ1CSJEnD0UqC84/MvB64GXhaZn4W2LGtUUmSJA1DKwnOkohYk9LnZrtq2tT2hSRJkjQ8rdxF9R3gJ8CrgZurB//d0daoJEmShmHAGpzMPAV4RWb+A3gBcDTwhnYHJkmSNFQDJjgRMQV4d0RcRXkGzpbAkjbHJUmSNGSt9MH5PPBSynNwjqPU4nyxnUFJkiQNRyt9cF4JbJOZSwAi4kLgFuCwdgYmSZI0VK3U4ExpJDcAmbkYm6gkSdI41koNzs0R8RXgG5SRxN8D3NrWqCRJkoahlRqcdwNPAX4FXA88lTIApyRJ0rjUymCbC4C3jEIskiRJI6LPBCcibqM0SfUqMzdvS0SSJEnD1F8NzntGLQpJkqQR1GeCk5lXN/6OiA0o/XA6RiMoSZKk4RiwD05EHAV8EPi/psldwIbtCkqSJGk4WrlN/E3ARpn5QLuDkSRJGgmt3Cb+F5MbSZI0kbRSg3NFRBwL/A/wWGNiZt7YtqgkSZKGoZUEZ//q/72bptkHR5IkjVstDbaZmdn2SCRJkkZIKwnOBRHxBHAecG5m3tbmmCRJkoZlwE7GmbkJsA+l/823I+IPEfG5tkcmSZI0RK3cRQVwD2UE8V8DM4G92hWQJEnScA2Y4ETEz4C7gLcCtwMvzsxoc1ySJElD1koNTgILKEM1rFn9kyRJGrda6YNzYGY+G3g3pR/OGRHxt7ZHJkmSNEStjEU1A3gJsBuwK/B34PQ2xyVJkjRkrdwm/jfgeuBHwOcz869tjUiSJGmYWumDswGwJ3AbsGlEzGpvSJIkScPTSoKzIaWj8VeB44B7I2L7dgYlSZI0HK0kOMcBb8zMrTJzc+B11TRJkqRxqZUEZ1ZmXtV4kZlXAqu1LyRJkqThaaWTcVdEbJCZ9wJExDOAZa28eUQcSRnmAeDCzDw8Il5OqQGaAZydmUcMPmxJkqS+tZLgHAVcFxGXA13ALsDBA61UJTKvALaq1rskIt4AHAPsCPwFuDAids3Mi4cYvyRJ0pO08qC/HwE7Ab+ijEW1U2ae18J7Pwh8IDOfyMwlwB3AJsCdmXl3Zi4FzgD2HmLskiRJveq3BiciOoCdgc2ARcDNmXlHK2+cmb9vep+NKU1VX6ckPg0PAk8fTMBz564+mMVXmDfPu9sbLIvCcuhmWXSzLLpZFt0si24TpSz6THAi4mnAJZQOxbdQmpk+EBHzgd0y85+tbCAingNcCHwIWEqpxWnoAJYPJuCHHlrI8uVdg1mFefNmMX/+I4Nap64si8Jy6GZZdLMsulkW3SyLbuOtLKZM6eiz4qO/GpwjgXMy8/PNE6uOw8cCBwy04Yh4IXAe8L7MPCsidgTWaVpkbeCBgd5HkiRpMPpLcHbIzOf2Mv1o4MaB3jgi/o0yvMO+1a3lUIZ8iIjYCLgb2A84ZVARS5IkDaC/BGdJbxMzc3lEtNKs9EFgVeC4iGhM+xawP6VWZ1XgIuDcVoOVJElqRX8JzuA6uvSQmYcCh/Yxe4vhvLckSVJ/+ktwnhoR7+9j3rx2BCNJkjQS+ktwLqPcHt6by9sQiyRJ0ojoM8HJzLeOZiCSJEkjpZXBNiVJkiYUExxJklQ7JjiSJKl2+huq4T/7WzEzfzjy4UiSJA1ff3dRvbefeV2ACY4kSRqX+ruL6iWjGYgkSdJI6a8GB4CI2Bh4D7A6ZfTvqcBGmfnCNscmSZI0JK10Mj4TmAZsD9wD/DtwWxtjkiRJGpZWEpxZmfku4KfAxcDOwAvaGpUkSdIwtJLgPFT9fxfw3Mx8mGEOxClJktROA/bBAe6KiK8C3wO+GxGrA51tjUqSJGkYWqnBeRfw88y8CTgJeClwQFujkiRJGoZWEpyPZuZ5AJl5YmbuCezb3rAkSZKGrr8nGX8aWBPYNyLWaJrVCewCHNrm2CRJkoakvz441wPbAsvp7mgMsBR4YzuDkiRJGo7+nmR8EXBRRFycmb+OiFWAjsxcMnrhSZIkDV4rfXDujYiLgUeBxyPiyohYt81xSZIkDVkrCc7XgeuApwFPBX4OnNjOoCRJkoajlefgbJKZ+zS9PjIift+ugCRJkoarlRqczohYtfEiIlbDJxlLkqRxrL/bxKdn5mLgLODyiDiVkti8DTh3lOKTJEkatP6aqK4Fts7MoyPifuCVwFTgNOC7oxCbJEnSkPSX4HQ0/sjMU4FT2x+OJEnS8PWX4KwaEVvRlOg0y8wb2xOSJEnS8PSX4GwInEfvCU5XNV+SJGnc6S/BuT0ztxq1SCRJkkZIK7eJS5IkTSj9JTjXjFoUmrg6YMFjS7hv/qMseHxpHz22JEkaXf0NtnnoaAaiCagD7rjvXxx/zs0sXrKM6Z1TOWSfLdl0/TV8FKQkaUzZRKUhW7BoyYrkBmDxkmUcf87NLFjkgPOSpLFlgqMhe3jhEyuSm4bFS5bx8KNPjFFEkiQVJjgasjmzpjO9c+pK06Z3TmXOzGljFJEkSYUJjoZs9oxVOGSfLVckOY0+OLNX6xzjyCRJk11/z8GR+tcFm66/BsccvD0PP/oEc2ZOK8mNHYwlSWPMBEfD0wWzZ3Qye0bniteSJI01m6gkSVLtmOBI44EPTJSkEWUTlTTWfGCiJI04a3CkMeYDEyVp5JngSGPMByZK0sgzwZHGmA9MlKSRZ4IjjTEfmChJI89OxtJY84GJkjTiTHCk8cAHJkrSiLKJSpIk1Y4JjiRJqh0THEmSVDtt7YMTEbOBXwG7Z+Y9EfFy4DhgBnB2Zh7Rzu1LkqTJqW01OBHxfOAXwCbV6xnAKcBrgU2BbSNi13ZtX5IkTV7tbKI6AHg38ED1ejvgzsy8OzOXAmcAe7dx+5IkaZJqWxNVZr4DICIak9YFHmxa5EHg6e3aviRJmrxG8zk4U1j56R4dwPLBvsncuasPaePz5s0a0np1ZFkUlkM3y6KbZdHNsuhmWXSbKGUxmgnO/cA6Ta/Xprv5qmUPPbSQ5csH9xS0efNmMX/+I4PdVC1ZFoXl0M2y6GZZdLMsulkW3cZbWUyZ0tFnxcdoJjjXAxERGwF3A/tROh1LkiSNqFF7Dk5mPg7sD5wH3A78ATh3tLYvSZImj7bX4GTmM5r+vgLYot3blCRJk5tPMpYkSbVjgiNJkmrHBEeSJNWOCY4kSaodExxJklQ7JjiSJKl2THAkSVLtmOBIkqTaMcGRJEm1Y4IjSZJqxwRHkiTVjgmOJEkaeR2w4LEl3Df/URY8vhQ6RnfzbR9sU5IkTTIdcMd9/+L4c25m8ZJlTO+cyiH7bMmm668BXaMTgjU4kiRpRC1YtGRFcgOweMkyjj/nZhYsWjJqMZjgSJKkEfXwwidWJDcNi5cs4+FHnxi1GExwJEnSiJozazrTO6euNG1651TmzJw2ajGY4EiSpBE1e8YqHLLPliuSnEYfnNmrdY5aDHYyliRJI6sLNl1/DY45eHsefvQJ5sycVpKbUepgDCY4kiSpHbpg9oxOZs/oXPF6NNlEJUmSascER5Ik1Y4JjiRJqh0THEmSVDsmOJIkqXZMcCRJUu2Y4EiSpNoxwZEkSbVjgiNp9HXAgseWcN/8R1nw+FLoGOuAJNWNTzKWNLo64I77/sXx59zM4iXLVoxRs+n6a4z6k04l1Zc1OJJG1YJFS1YkNwCLlyzj+HNuZsGiJWMcmaQ6McGRNKoeXvjEiuSmYfGSZTz86BNjFJGkOjLBkTSq5syazvTOqStNm945lTkzp41RRJLqyARHmuSWL+8a1Q6/s2eswiH7bLkiyWn0wZm9Wmd7NyxpUrGTsTSZdcC1tz3IV75/4+h1+O2CTddfg2MO3p6HH32COTOnleTGDsaSRpA1ONIktmDRkhXJDYxih98umD2jk/XXmsnsGSY3kkaeCY40idnhV1JdmeBIk5gdfiXVlQmONInNnrEKh71hazv8SqodOxlLk1kXvGCzdVh7zQne4bej9Cd6eOETzJk1ndkzVpl4n0HSiDLBkSa5KVM6mD2js3T2hYmXGDj0g6Re2ESl8c1BGTUAh36Q1BtrcDR+eWVeH21sQurvTrAVtVKSJh0THI1bfV2ZH3Pw9p64JpI2J6qNO8GakxzvBJNkE5XGLZ/RUg/tbkJy6AdJvbEGR+PWmF6Ze1fOiGl7E5JDP0jqhQmOxq3GlXnPpo22n7zs+zOiRiVRrYZ+mLB3gkkacSY445U1CGN2ZW7fn5E1ZomqpEnNBGc8Go0ahImSQI3Blbl35Ywwm5D6N1F+i9IEY4IzDrW9BsEmmH55V04b2ITUO3+LUtt4F9VgDfXBc4NYr913D/lgtP55V45Gi79FqX2swYHWq4iHerU1yPXaXYNgE8wAbFLRKPG3KLXPmCQ4EbEfcATQCXw1M08YizgA6IA/PfAIf3pgAcu7upjS0cEG66zOemutzurTyxV8I/mZuVonf//XY+z9so1Zd62Z/N8/F/GXvy3k3546k9Wn912Ug21yanenTJtgWmCTikaBv0WpfUY9wYmI9YDPAs8DFgO/ioirMvP20Y4FYOHjS7l//kLO/9ldK5KJ1++8Cf9csJg1Zk5n2ipT+NKZN64075Lr7uGRR5ew786bcPWNf2Htuaux+TPX7PMkOOirtDbXIHhXizQ++FuU2mcsanBeDlyZmf8AiIhzgdcBR41BLPxr0RLOuuyPK9WunHXZH/nwm7bhmNN/y547bfSkea/d4Vmcc8UfObv6+8Tzbu23A/CQrtLaWYNgE4w0PvhblNpmLBKcdYEHm14/CGzX6spz564+pI3Omzer1+l3/e8jvdauPPbEUhYvWcbyrq4nzWt0EG78vXjJMhYtWcaz1n9K7zEv7+KwN2zNV77fXRN02Bu25plPX5MpU0Z/eOxGWcwb9S2PL33tE5ORZdFtLMpivP4W3S+6WRbdJkpZjEWCM4WVr086gOWtrvzQQwtZvnxwlzfz5s1i/vxHep23Zh+1K1OnTGF651SmdKycgEzvnLoi+sbf0zunslrn1D63AbDJerOedJX20EMLB/U5RkJ/ZTGZWA7dLItulkU3y6KbZdFtvJXFlCkdfVZ8jMVt4vcD6zS9Xht4YAziAGDurGm8a6/NV7ol+J17PJf/ufpODtlnS5617uyV5r1+50248ob7mN45lX133oSf33x/a7cQV01O6681szQ7WQUtSVLbjEUNzuXApyJiHvAosBfwzjGIo1gOm2+4Jp858AU8tOBx5syaTlfXcg7cY7MVSUtzzcuUKR08c93ZzFy1k8VLlrL1xs+zzVySpHFm1BOczPxrRHwcuAqYBpycmb8e7ThWshzmrj6Nuav36PRbJS0rdfaFplvCp620nCRJGh/G5Dk4mXkmcOZYbFuSJNWfQzVIkqTaMcGRJEm1Y4IjSZJqxwRHkiTVjgmOJEmqHRMcSZJUOyY4kiSpdkxwJElS7ZjgSJKk2hmTJxkP0VQoI4cOxVDXqyPLorAculkW3SyLbpZFN8ui23gqi6ZYpvac19HVNWEGUnoR8POxDkKSJI07LwZ+0TxhIiU404FtgQeBZWMciyRJGntTgXWA3wCLm2dMpARHkiSpJXYyliRJtWOCI0mSascER5Ik1Y4JjiRJqh0THEmSVDsmOJIkqXZMcCRJUu2Y4EiSpNqZSGNR9Ssi9gOOADqBr2bmCT3mbwmcDMwGrgEOysylox3naIiII4F9qpcXZubhvcx/G/DPatJJPcurLiLiKuCpwJJq0oGZeX3T/C2ZBPtFRLwDeE/TpGcCp2fme5qWqf1+ERGzgV8Bu2fmPRHxcuA4YAZwdmYe0cs66wNnUPajBN6YmQtHMey26KUs3gkcAnQBv6X8Vp7osc5bgC8A/1dNujAzPz6KYY+4XsrhVMrQQI9Wi3w6M8/vsU7t9wng34HPNc1eD7g+M3fvsc643SdqkeBExHrAZ4HnUR7V/KuIuCozb29a7AzgHZl5XUR8FzgAOHH0o22v6oD9CmAryoHqkojYs8cPdBvg9Zl57VjEOFoiogPYBNign6RlUuwXmXkyJZEjIp4D/Aj4VI/Far1fRMTzgZMo+wQRMQM4BdgR+AtwYUTsmpkX91j1m8A3M/OsiPgE8Angw6MX+cjrpSw2AT5EOYY+ApwGvBv4So9VtwHen5nfH7Vg26hnOVS2AXbIzAf7WbX2+0RmXgRcVM1bG/glcFgvq47bfaIuTVQvB67MzH9k5qPAucDrGjMjYgNgRmZeV006Ddh71KMcHQ8CH8jMJzJzCXAHsH6PZbYBPhYRt0bENyJi1VGPcnRE9f+lEXFLRLxnpZmTa79odiLwscz8e4/pdd8vDqCctB+oXm8H3JmZd1cJ8Bn0+P4johPYgXJMgfrsIz3LYjFwcGYuyMwu4DaefNyAMh7gWyLitog4IyLWHJ1w22alcoiI1Sif+5Tqd/DpiFjpPDmJ9olmXwS+lZl39jJv3O4TdUlw1qWc2BseBJ4+iPm1kZm/b5ywI2JjSlPVRY35EbE6cBPlam1rYA7l6qOO1gSuAPYEXgYcFBE7N82fNPtFQ1XDNyMzf9Bjeu33i8x8R2b+vGlSK9//WsCCphrAWuwjPcsiM+/NzMsAImIepTnzf3pZ9UHgaGBzSq3XN0Yh3LbpZZ9YG7iS0lT7H5QRqt/eY7VJsU80VOeRnYDj+1h13O4TtWiioiRqzaOGdgDLBzG/dqpmiAuBDzVn3VU78W5Ny32ZUk0/LtpMR1LV1LKiuaVqgtoNuKyaNOn2C+BASp+TlUym/aJJK99/z2XoZZnaqJr7Lwa+m5k/6zk/M/dsWvZY4E+jF137ZeafKRdEAETE14E3U5puGibVPgG8k9Ict7i3meN5n6hLDc79lOHSG9Zm5Wq2gebXSkS8kFJz8ZHM/F6PeetHxNuaJnXQ3QG3ViLiRRHxsqZJPT/rZNsvplH6m/y4l3mTZr9o0sr3/zdgjYiYWr1ep5dlaiEink3pYPq9zDy6l/lrRERzH4wOoFYd8iNis4jYq2lSb7+DSbNPVPYAzuptxnjfJ+qS4FwOvCwi5lVtqHsBlzRmZua9wOPViR/gTZSrlNqJiH+jdCDdLzN72ykfA46NiGdWnXDfDZzfy3J1MAf4YkSsGhGzgLfQ9Fkn035R2Rz4Y9VPrafJtF80XA9ERGxUnaz2o8f3X/Vj+zmwbzXpzT2XqYPq93EpcERmfrmPxRYCh1edUaE0Y9VtH+kAvhoRa1Z9bd5Jj884WfYJgIhYi9KkfXcfi4zrfaIWCU5m/pVSlX4VcDNwZmb+OiIuiohtqsXeCHwlIv4ArE7f7YkT3QeBVYHjIuLm6t9BjbLIzPmUZooLKLc3dgB9HdAmtMz8CaWZ7ibgBuCUzLx2ku4XABtSai1WmIz7RUNmPg7sD5wH3A78garjaEScHBGvqRY9GHhnRNxO6ZPxpFvJa+AdwNOADzQdN46C7rLIzGWUPn0nRsQdlDuuDu/7LSeezLwV+DzljqHbgZsbdwdNwn0CejlmwMTZJzq6uno2JUqSJE1stajBkSRJamaCI0mSascER5Ik1Y4JjiRJqh0THEmSVDt1eZKxVGsRcTxl/Bsoo/zeTXl2DcALMvOxXtZ5FfD8zPzkAO/9M+AbmXluj+mnATsD8ylPbu2kPKX0gMz825A/zACqYSMeAF7RNE5YY94FlEfpPwc4KzMvb1cc7RQRn6I8a+iv1aRO4Fbgk32M9yNpkExwpAkgMw9p/B0R9wBvzMzfDrDatsBThrnpr2Tml5q2/WXKSMqv63uV4cnMhRFxOmUMoBUJTkQ8nfIk5jdl5sPt2v4oOjszVwwAGxFvAq6MiOdk5oIxjEuqBRMcaYKLiE8Ab6A8Iv2PlKeJbgAcBEyNiH8Bn6OMIr4xMBd4hPK06xzk5q4Ajq22uzvwMWAa8FTKI/4/Uc37CCVBeQS4BtgjM59RDRdxDCVRmUp5COMhvZzQTwCujYj3NT15+e2UWpuHm2udImL76j1nAsuAT1OeLPu/lNqtuyLio8BBmblBFd/llAcZzqA8pG15te6HMvOaHuW7P2W06ClVuf4VeEtmPhARawBfAzaj1MJcUb3H0ohYTBmwcgtaSEgz8/QqydkP+FY1dMaBVfk+BfhCZp4YEZcB52TmSVV8RwBzM/Owvt5bmozsgyNNYBHxVmBXYNvM3Bz4HXBaZl4PfItSS/DxapmHM/MFmbkJ8BtKIjSYbc2gPJb+qmo4hw9QTvTbUEZe/mhErBURu1CeELwt5cmms5re5iOUROx5mbkFpSnqCz23lZm3U5KfvattT6GM8HxCj5jWBE6l1OpsDbyWksitR3kq8yurRV8JTIuITaqkZAtKMvJF4ODqM3yCMmpyb3YEDs3Mf6c8FbvxxOuvADdk5vOArSgjTb+/mjcNuCAzo4XatoZbgM2qZroDgN0ycyvKsADHVsucUM1rlMvbKd+1pCbW4EgT267AqU21HF8DPl7VlKxQ1XT8OSLeC2xEOZFfy8AOi4j/qv5eBbga+GhmdkXEq4HdI2I/YFPK8A4zKaOS/6DRjBQRJwCNQU93p4wRtnNEQEkC+urPcwLwXuC06nPel5m39FjmBZTBDn9UvR+U/kKbU8bEOSgivkcZSPNMSp+ifwCXZOYTEXEWcH5EXEgZZf5YendpZv6x+vskypAwjc+zXUS8vXo9o8d6P+/j/frSBSyqmul2B14VERsDW1KGEoGSuH0tIrYA1gXuHkJNnFR7JjjSxDaVclJsmEL5XXc0LxQR76IMHPgNyon+H8AzW3j/lfrgNL3fTEoNy/mUk/gplFGHG6MJN29/WY94D83Mi6v3WZ0ydlpvzqcMfLgxpcbihF6WmQrckZmNwf6IiHUpHaOnAicDrwJ+Rklg3gUsohodOTM/HhGnUBKf/Sm1Utv1sp3mEZKnNH2mqcDemXlHte05rPx9LOzjs/VlW+DUqr/RtcB3gF9QxsjavYp5WUR8m1KjtS7W3ki9solKmtguAd5WJRwAhwDXZOZiykm5s5q+C6Xp6ruUwTRfTTk5D9XGwGzK6NMXUGqEplfveSGwV9UUBKUJpXHS/ynwnoiYVjWvnEQZ3PBJMnNpNf9QYGvKoJg9XQdsHBE7AETElsCdwHrVYJpXA0dSRsq+mlLj82LgpxGxStVhe7XM/BZlAMXNI2J6L9t5WUSsV/19EKUWpfF5DouIjmq9HzPIpr+GqhZoQ+AcYBtKkvaZKvbdq2Ua39nJwJ6UJsBxM3qzNJ6Y4EgT23eBy4FfV6P5bk0ZIR3K7dS7RMTXgS8BB0bErZQalxspTVVDdSvwE+AP1XZfTRl9eaPMvJKSmFwbEb8F1qDUmgAcDdxDqf25nVLT84F+tvMdSu3NqZm5pOfMahT0vYAvRsQtwOmU/jj3VIucD2wCXFndSn8L8MvMfLxKoN4HnBkRNwI/AN5WJYc93Q+cXn3WZ1TrQUkoZwK3VWVyG303c/W0bzVq901V7LsAO1WJ2aXVNhO4A1ifkvBsVH3uvwG/Bb7fW7lIcjRxSSMsIrYBts/M46vX76c8j2ffsY1saKq7qF6XmbuPdSwNEbEWpaP4Dpn5l7GORxqP7IMjaaT9EfhwRLyT0jR1H6X/j0ZARBxAue3/SJMbqW/W4EiSpNqxD44kSaodExxJklQ7JjiSJKl2THAkSVLtmOBIkqTa+f8n0yVZMw3vZAAAAABJRU5ErkJggg==\n", 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\n", 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" ] @@ -2613,12 +2916,12 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 22, "metadata": {}, "outputs": [ { "data": { - "image/png": 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yeflvwKW1l+CyiFgJLAb+IcvEz9EOZ+agtnwQ+NfM/HYtG/J4Wtb/AqU9Lx5m+8M9v8fDSO8NQz4Hapu8g/JNsXspz8WRfL++TlZQ3iPOztVf/X4/8PE6vNpH6YUcaJtLgE/U9h9yufo6+WCtywOUE+KRdf1DgE9HxEC7fSUzB4aivw6cSznRvpnRX+8jtdNaycyM8vMUZ4xhnQ/X59F3a7tsRPnQ89Jhlj89Iv4MnFnDSy+lB+T5ueY3qGZSHsdZwGmZeTlARBwAfKx+CJxCmY9zSxuviVYjvtdExEeAX9Tjup0SRHegfMBofZxGWm5C9PT3D+6FlqSJEeP4+y/joZ4sPw3cmpknjba8NN5imN840+gcopKkIUTELErv4TzKN6UkrUfswZEkSY1jD44kSWocJxmvNoMyC/xO1rw2jCRJmpymUn4P6KeULzCsYsBZbTfgqomuhCRJGrO9GPSDnwac1e4E+NvflrBy5fjOS9pyy01ZtGisv0OmVrZh52zD8WE7ds427JxtWEyZ0sPmm28C9RzeyoCz2gqAlSv7xz3gDGxXnbENO2cbjg/bsXO2YedswzU8ZGqJk4wlSVLjGHAkSVLjGHAkSVLjGHAkSVLjGHAkSVLjGHAkSVLjGHAkSVLjGHAkSVLjGHAkSVLjGHAkSVLjGHAkSVLjGHAkSVJ39MDiB/q4beESFj+4HHrW3a692KYkSRp/PXDDbfdw6gULWNq3ghm9Uzn+oPnsPG8zWAfXCbUHR5IkjbvF9/etCjcAS/tWcOoFC1h8f9862b8BR5Ikjbu771u2KtwMWNq3gruXLFsn+zfgSJKkcTdn1gxm9E5do2xG71TmbDJ9nezfgCNJksbd7JnTOP6g+atCzsAcnNkb966T/TvJWJIkjb9+2HneZpx0zB7cvWQZczaZXsLNOphgDAYcSZLULf0we2Yvs2f2rrq9rjhEJUmSGseAI0mSGseAI0mSGseAI0mSGseAI0mSGseAI0mSGseAI0mSGseAI0mSGseAI0mSGseAI0mSGqerl2qIiPcAB9Wb387Md0TE84BPADOB8zPzhLrsfOBMYDZwJXB0Zi6PiHnAucDDgAQOzcz7ImIO8GVge2AhcFBm/ikipgNnAbsCDwCHZOaN3TxOSZI0uXStB6cGmecDTwHmA7tExCuBs4GXAjsDu0XEfnWVc4HjMnNHoAc4spafBpyWmTsBPwNOrOUfBK7KzJ2BM4BTavnxwJJa/mbgnC4doiRJmqS6OUR1J/DWzFyWmX3ADcCOwE2ZeXNmLqeEmgMjYltgZmZeXdc9p5b3AnsDF7aW179fTOnBAfgKsF9dflV5Zl4JzK29QJIkaQPRtSGqzLxu4O+IeCxlqOpTlOAz4E7gkcA2w5RvBSyuYai1nNZ16lDWYmDuCNu6rZ16b7nlpu0sNmZz587qynY3JLZh52zD8WE7ds427JxtOLKuzsEBiIjHA98G3g4sp/TiDOgBVlJ6kvrbKKeWDyzTarRttWXRovtYuXJ8r+c+d+4sFi68d1y3uaGxDTtnG44P27FztmHnbMNiypSeYTsmuvotqoh4JnA58C+Z+UXgdmDrlkUeAfxxhPK7gM0iYmot37qWA9xRlyMipgGzgEUjbEuSJG0gujnJ+FHANyjfYvpqLb6m3BU71NByCHBJZt4KPFgDEcCra3kfcBVwcC0/DLik/n1xvU29/6q6/KryiNgTeDAz2xqekiRJzdDNIaq3ARsBn4iIgbLPAYcDX6v3XczqCcSHAmdExGzgF8CptfwY4IsRcQJlHs0ra/mJwDkRcR1wd10fyjyf02v5UkpYkiRJG5Ce/v7xnW+yHtsOuNk5OJOTbdg523B82I6dsw07ZxsWLXNwHg3cssZ9E1EhSZKkbjLgSJKkxjHgSJKkxjHgSJKkxjHgSJKkxjHgSJKkxjHgSJKkxjHgSJKkxjHgSJKkxjHgSJKkxjHgSJKkxjHgSJKkxjHgSJKkxjHgSJKkxjHgSJKkxjHgSJKkxjHgSJKkxjHgSJKkxjHgSJKkxjHgSJKkxjHgSJKkxjHgSJKkxjHgSJKkxjHgSJKkxjHgSJKkxjHgSJKkxjHgSJKkxjHgSJKkxjHgSJKkxjHgSJKkxjHgSJKkxjHgSJKkxjHgSJKkxjHgSJKkxjHgSJKkxjHgSJKkxjHgSJKkxjHgSJKkxjHgSJKkxjHgSJKkxjHgSJKkxjHgSJKkxjHgSJKkxjHgSJKkxjHgSJKkxjHgSJKkxjHgSJKkxjHgSJKkxjHgSJKkxjHgSJKkxjHgSJKkxjHgSJKkxjHgSJKkxjHgSJKkxjHgSJKkxjHgSJKkxjHgSJKkxjHgSJKkxjHgSJKkxjHgSJKkxjHgSJKkxjHgSJKkxjHgSJKkxjHgSJKkxjHgSJKkxjHgSJKkxjHgSJKkxjHgSJKkxjHgSJKkxpnWzY1HxGzgR8D+mXlLRHwB2BNYUhd5X2ZeFBHzgTOB2cCVwNGZuTwi5gHnAg8DEjg0M++LiDnAl4HtgYXAQZn5p4iYDpwF7Ao8ABySmTd28xglSdLk07UenIh4GvBDYMeW4l2BvTNzfv13US0/FzguM3cEeoAja/lpwGmZuRPwM+DEWv5B4KrM3Bk4Azillh8PLKnlbwbO6caxSZKkya2bQ1RHAscCfwSIiI2BecDZEfGriHhfREyJiG2BmZl5dV3vHODAiOgF9gYubC2vf7+Y0oMD8BVgv7r8qvLMvBKYW3uBJEnSBqRrQ1SZ+XqAiBgoegRwBXAMcA/wLeB1wG+AO1tWvRN4JLAVsDgzlw8qB9hmYJ06lLUYmNtaPmid29qt95ZbbtruomMyd+6srmx3Q2Ibds42HB+2Y+dsw87ZhiPr6hycVpn5e+DlA7cj4lPAYcD1QH/Loj3ASkrvUms5tXxgmVbDrdPTsk5bFi26j5UrB++2M3PnzmLhwnvHdZsbGtuwc7bh+LAdO2cbds42LKZM6Rm2Y2KdfYsqIp4YEQe0FPUAfcDtwNYt5Y+gDGvdBWwWEVNr+da1HOCOuhwRMQ2YBSwaYVuSJGkDsi6/Jt4DfDIiNq/zZY4CLsrMW4EHI+KZdblXA5dkZh9wFXBwLT8MuKT+fXG9Tb3/qrr8qvKI2BN4MDPbHp6SJEnNsM4CTmb+CvgI8L+UYakFmfmVevehwMkRcSOwKXBqLT8GOCoirgf2Ak6o5ScCT4+I6+oyx9byTwEzavmplLAkSZI2MD39/eM732Q9th1ws3NwJifbsHO24fiwHTtnG3bONixa5uA8GrhljfsmokKSJEndZMCRJEmNY8CRJEmNY8CRJEmNY8CRJEmNY8CRJEmNY8CRJEmNY8CRJEmNY8CRJEmNY8CRJEmNY8CRJEmNY8CRJEmNY8CRJEmNY8CRJEmNY8CRJEmNY8CRJEmNY8CRJEmNY8CRJEmNY8CRJEmNY8CRJEmNM+aAExG93aiIJEnSeJk22gIRsSewD/BR4CrgiRHx2sw8v8t1kyRJWivt9OB8DLgaeBmwCHgc8NYu1kmSJKkj7QScqZn5PWBf4BuZeQswtau1kiRJ6kBbAScidgdeDFwWEU8AnIcjSZImrXYCzoeA84CzMvNm4JvACV2tlSRJUgdGnWScmV8Hvt5StENmruhelSRJkjozbMCJiC8A/cPcR2Ye0bVaSZIkdWCkIarfANcBc4AnAb8GfgnsSBs9P5IkSRNl2KCSmf8BEBEvB/bOzPvr7TOA76+b6kmSJI1dO5OMHw4sbbndD2zVnepIkiR1rp2hpu8B34mI84Ae4DDg/3W1VpIkSR1oJ+C8CTgWeHm9fT5wetdqJEmS1KF2via+HDil/iMieoAdgJu6WzVJkqS1087FNo+mXGhzk5bihcAjulUpSZKkTrQzyfidlOtQfRt4CvBu4KJuVkqSJKkT7QScv2bmNcAC4OGZ+SHgWV2tlSRJUgfaCTh9EbE5Zc7N7rXMq4lLkqRJq51vUX0e+BbwEmBB/eG/G7paK0mSpA6M2oOTmWcDz8/MvwLPAD4AvLLbFZMkSVpbowaciJgCHBsR36f8Bs58oK/L9ZIkSVpr7czB+QjwHMrv4HyC0ovzsW5WSpIkqRPtzMF5IbBrZvYBRMS3gWuBt3SzYpIkSWurnR6cKQPhBiAzl+IQlSRJmsTa6cFZEBEnA5+mXEn8OOBXXa2VJElSB9rpwTkW2AL4EXAN8DDKBTglSZImpXYutrkYeM06qIskSdK4GDbgRMSvKUNSQ8rMJ3WlRpIkSR0aqQfnuHVWC0mSpHE0bMDJzP8Z+DsitqXMw+lZF5WSJEnqxKhzcCLi/cDbgD+3FPcD23erUpIkSZ1o52virwZ2yMw/drsykiRJ46Gdr4n/wXAjSZLWJ+304FweER8F/ht4YKAwM3/RtVpJkiR1oJ2Ac3j9/8CWMufgSJKkSauti21mZna9JpIkSeOknYDzzYhYBnwNuDAzf93lOkmSJHVk1EnGmbkjcBBl/s3pEXFjRHy46zWTJElaS+18iwrgFsoVxH8CbAIc0K0KSZIkdWrUgBMRPwB+B7wWuB7YKzOjy/WSJElaa+304CSwmHKphs3rP0mSpEmrnTk4b8jMnYBjKfNwzo2Iu7peM0mSpLXUzrWoZgLPBl4E7Af8BfhSl+slSZK01tr5mvhdwDXAN4CPZOYdXa2RJElSh9qZg7Mt8HLg18DOETGru1WSJEnqTDsBZ3vKRONPAp8Abo2IPbpZKUmSpE60E3A+ARyamU/JzCcB/1jLJEmSJqV2As6szPz+wI3MvALYuHtVkiRJ6kw7Aac/IrYduBER2wErulYjSZKkDrXzLar3A1dHxPeAfuAFwDHtbDwiZgM/AvbPzFsi4nmU4a2ZwPmZeUJdbj5wJjAbuBI4OjOXR8Q84FzgYZR5QIdm5n0RMQf4MmV+0ELgoMz8U0RMB84CdqX8Zs8hmXljO3WVJEnN0c4P/X0D2IcSVH4C7JOZXxttvYh4GvBDYMd6eyZwNvBSYGdgt4jYry5+LnBcvbBnD3BkLT8NOK3+0ODPgBNr+QeBqzJzZ+AM4JRafjywpJa/GThntHpKkqTmGTHgRERPRDwf2L8WLcjMG9rc9pGUXz/+Y729O3BTZt6cmcspoebAOvw1MzOvrsudU8t7gb2BC1vL698vpvTgAHwF2K8uv6o8M68E5tZeIEmStAEZdogqIh4OfIcyofhayvDUWyNiIfCizPzbSBvOzNfX7QwUbQPc2bLIncAjRyjfClhcw1Br+RrbqkNZi4G5I2zrtpHq2mrLLTdtd9ExmTvXnw/qlG3YOdtwfNiOnbMNO2cbjmykOTjvAS7IzI+0FkbEe4CPsnoYqV1TKCFpQA+wcgzl1PKBZVqNtq22LVp0HytXDt5tZ+bOncXChfeO6zY3NLZh52zD8WE7ds427JxtWEyZ0jNsx8RIQ1R7Dw431QeA3daiHrcDW7fcfgRl+Gq48ruAzSJiai3fmtXDXXfU5YiIacAsYNEI25IkSRuQkQJO31CFmbmSMfaKVNcAERE71NByCHBJZt4KPBgRz6zLvbqW9wFXAQfX8sOAS+rfF9fb1PuvqsuvKo+IPYEHM7Pt4SlJktQMIwWccR2nycwHgcOBrwHXAzeyegLxocDJEXEjsClwai0/BjgqIq4H9gJOqOUnAk+PiOvqMsfW8k8BM2r5qZSwJEmSNjA9/f1D55iIuJ3hL8nwlsx8VNdqNTG2A252Ds7kZBt2zjYcH7Zj52zDztmGRcscnEcDt7TeN9Ik48uAJw5z3/fGpWaSJEldMGzAyczXrsuKSJIkjZd2rkUlSZK0XjHgSJKkxjHgSJKkxhnpUg3/MNKKmfn18a+OJElS50b6FtWbRrivHzDgSJKkSWmkb1E9e11WRJIkabyM1IMDQEQ8FjiO8gvDPcBUYIfMfOaIK0qSJE2QdiYZnwdMB/ag/Erg44Bfd7FOkiRJHWkn4MzKzDcC36Vc7HJf4BldrZUkSVIH2gk4i+r/vwOekJl3M84X4pQkSRpPo87BAX4XEZ8EvgicFRGbAr1drZUkSVIH2unBeSNwVWb+EjgDeA5wZFdrJUmS1IF2As6/ZubXADLzs5n5cuDg7lZLkiRp7Y30S8bvAzYHDo6IzVru6gVeAPxTl+smSZK0Vkaag3MNsBuwktUTjQGWA4d2s1KSJEmdGOmXjC8GLo6ISzLzJxExDejJzL51Vz1JkqSxa2cOzq0RcQmwBHgwIq6IiG26XC9JkqS11k7A+RRwNfBw4GHAVcBnu1kpSZKkTrTzOzg7ZuZBLbffExHXdatCkiRJnWqnB6c3IjYauBERG+MvGUuSpElspK+Jz8jMpcBXge9FxBcoweYI4MJ1VD9JkqQxG2mI6sfAUzPzAxFxO/BCYCpwDnDWOqibJEnSWhkp4PQM/JGZXwC+0P3qSJIkdW6kgLNRRDyFlqDTKjN/0Z0qSZIkdWakgLM98DWGDjj99X5JkqRJZ6SAc31mPmWd1USSJGmctPM1cUmSpPXKSAHnynVWC0mSpHE0bMDJzH9alxWRJEkaLw5RSZKkxjHgSJKkxjHgSJKkxjHgSJKkxjHgSJKkxjHgSJKkxjHgSJKkxjHgSJKkxjHgSJKkxjHgSJKkxjHgSJKkxjHgSJKkxjHgSJKkxjHgSJKkxjHgSJKkxjHgSJKkxjHgSJKkxjHgSJKkxjHgSJKkxjHgSJKkxjHgSJKkxjHgSJKkxjHgSJKkxjHgSJKkxjHgSJKkxjHgSJKkxjHgSJKkxjHgSJKkxjHgSJKkxjHgSJKkxjHgSJKkxjHgSJKkxjHgSJKkxjHgSJKkxjHgSJKkxjHgSJKkxjHgSJKkxjHgSJKkxpk2ETuNiO8DDwP6atEbgFnAJ4CZwPmZeUJddj5wJjAbuBI4OjOXR8Q84Ny6nQQOzcz7ImIO8GVge2AhcFBm/mkdHZokSZoE1nkPTkT0ADsCT87M+Zk5H/gVcDbwUmBnYLeI2K+uci5wXGbuCPQAR9by04DTMnMn4GfAibX8g8BVmbkzcAZwSvePSpIkTSYTMUQV9f9LI+LaiDgO2B24KTNvzszllFBzYERsC8zMzKvrOufU8l5gb+DC1vL694spPTgAXwH2q8tLkqQNxEQMUW0OXA68CegFfgCcBNzZssydwCOBbYYp3wpYXMNQazmt69ShrMXAXOCP7VRuyy03HfMBtWPu3Fld2e6GxDbsnG04PmzHztmGnbMNR7bOA05m/hj48cDtiDgLeD/ww5bFeoCVlB6m/jbKqeUDy7TqablvVIsW3cfKlYM33Zm5c2excOG947rNDY1t2DnbcHzYjp2zDTtnGxZTpvQM2zExEXNw9oyI57YU9QC3AFu3lD2C0uNy+zDldwGbRcTUWr41q3to7qjLERHTKJOXF43vUUiSpMlsIubgzAE+FhEbRcQs4DXAu4CIiB1qaDkEuCQzbwUejIhn1nVfXcv7gKuAg2v5YcAl9e+L623q/VfV5SVJ0gZinQeczPwW8G3gl8DPgbPrsNXhwNeA64EbWT2B+FDg5Ii4EdgUOLWWHwMcFRHXA3sBJ9TyE4GnR8R1dZlju31MkiRpcunp7x/f+Sbrse2Am52DMznZhp2zDceH7dg527BztmHRMgfn0ZTpLqvvm4gKSZIkdZMBR5IkNY4BR5IkNY4BR5IkNY4BR2rVA4sf6OO2hUtY/ODyh/5spCRpvTAhVxOXJqUeuOG2ezj1ggUs7VvBjN6pHH/QfHaet9lDfzdbkjSp2YMjVYvv71sVbgCW9q3g1AsWsPh+fydSktY3Bhypuvu+ZavCzYClfSu4e8myCaqRJGltGXCkas6sGczonbpG2YzeqczZZPoE1UiStLYMOFI1e+Y0jj9o/qqQMzAHZ/bGvRNcM0nSWDnJWBrQDzvP24yTjtmDu5csY84m00u4cYKxJK13DDhSq36YPbOX2TN7V92WJK1/HKKSJEmNY8CRJEmNY8CRJEmNY8CRJEmNY8CRJEmNY8CRJEmNY8CRJEmNY8CRJEmNY8CRJEmNY8CRJEmNY8CRJEmNY8CRJEmNY8CRJEmNY8CRJEmNY8BR8/XA4gf6uG3hEhY/uBx6JrpCkqRumzbRFZC6qgduuO0eTr1gAUv7VjCjdyrHHzSfnedtBv0TXTlJUrfYg6NGW3x/36pwA7C0bwWnXrCAxff3TXDNJEndZMBRo91937JV4WbA0r4V3L1k2QTVSJK0Lhhw1GhzZs1gRu/UNcpm9E5lzibTJ6hGkqR1wYCjRps9cxrHHzR/VcgZmIMze+PeCa6ZJKmbnGSsZuuHnedtxknH7MHdS5YxZ5PpJdw4wViSGs2Ao+brh9kze5k9s3fVbUlSszlEJUmSGseAI0mSGseAI0mSGseAo7XnJRAkSZOUk4y1drwEgiRpErMHR2vFSyBIkiYzA47WipdAkCRNZgYcrRUvgSBJmswMOForXgJBkjSZOclYa8dLIEiSJjEDjtael0CQJE1SDlFJkqTGMeBIkqTGMeBIkqTGMeBIkqTGMeBIkqTGMeBIkqTGMeBIkqTGMeBIkqTGMeBIkqTGMeBIkqTGMeBIkqTGMeBIkqTGMeBIkqTGMeBIkqTGMeBMRj2w+IE+blu4hMUPLoeeia6QJEnrl2kTXQEN0gM33HYPp16wgKV9K5jRO5XjD5rPzvM2g/6JrpwkSesHe3AmmcX3960KNwBL+1Zw6gULWHx/3wTXTJKk9YcBZ5K5+75lq8LNgKV9K7h7ybIJqpEkSesfA84kM2fWDGb0Tl2jbEbvVOZsMn2CaiRJ0vrHgDPJzJ45jeMPmr8q5AzMwZm9ce/wKzkpWZKkNTjJeF3rgfseXM7iB5bz4NLlbLXZRsyeOW31BOJ+2HneZpx0zB7cvWQZczaZXsLNcBOMnZQsSdJD2IOzLvXA//3xXn6eC/nMfy3gt7fdzdXX/Yk//OX+NR+Jfpg9s5d5czcB4La7hu+ZaWtSsj08kqQNjD0460oPLLp3Gfc+0Ac98JK9tueL375hVa/LsQc+mS02nc6mG08vPTq01zMz0qTk2TN77eGRJG2Q7MFZB1au7OeG2+7hhNN/zKkXLOCrl/6WpctWMGuTMq9mad8KPvNf1/Kr//sr7/zM/3LDbfe0/XXx0SYl+7VzSdKGqJEBJyIOiYjrI+KmiDh2QivTCzfcsohp06ZwwhG78/6jnsYrnr8jl15zK8/ZZd6qxZb2rYCe1QHkL4uXrtEzs9WcjXjp3o/hT397YI1hptEmJfu1c0nShqhxQ1QR8XfAh4BdgKXAjyLi+5l5/TqvTC9c+9u/8rmv/3rV8NAr9t2RjaZP5SV7bb9G8JjRO3XVkNHSvhXMnDGNGb1TWdq3gq3mbMSL9ng051/22yGHmUaalDzQwzN4X37tXJLUZE3swXkecEVm/jUzlwAXAv84ERX586Klq8INlODy1ct+yz1L+li8pI+Hb14mEc/oncrB++7IFT+/bdXtWS09M8/ZZd6qcDOwnTWGmQYmJW+1SZl30zK3Zq2+di5J0nqucT04wDbAnS237wR2b3flLbfcdNwqcsPt9ww5PLSyvySQmRtN5UNv3IMVK/r57Neu5S93P8iM3qm85ZVPZdtt5rDtNnN4zCPncOufFw+5nfv7VvCYeVuMfkxbbMpjHjmHv977AFvMmsnWW23ClCnr31ep5s6dNdFVWO/ZhuPDduycbdg523BkTQw4U1jz+0E9wMp2V1606D5WrhyfrxdtudlGQw4PTekp4WLzTaav+qbTO1+1yxpDTIsW3QfA9B54+JyZQ25n496pLFx4b1t1md4Dj5i9EdC/atvrk7lzZ7V9rBqabTg+bMfO2Yadsw2LKVN6hu2YaOIQ1e3A1i23HwH8cSIq8rAtZnD0PzxxjeGhV+y7I5tt0stjtpm9ephohCEmcJhJkqSxamIPzveA90bEXGAJcABw1ITUpA+evOMWvO+op3PPfcuYudE0eqdNYZPpU9l0o2nt/w7NWH/dWJKkDVzjAk5m3hER/wZ8H5gOnJmZP5mwCvXB47ff6qFdiWMNJ7WXZ/bM1b0+kiRpaI0LOACZeR5w3kTXQ5IkTYwmzsGRJEkbOAOOJElqHAOOJElqHAOOJElqHAOOJElqHAOOJElqHAOOJElqHAOOJElqHAOOJElqnEb+kvFamgrlyqTd0K3tbkhsw87ZhuPDduycbdg523CNNpg6+L6e/n4valTtCVw10ZWQJEljthfww9YCA85qM4DdgDuBFRNcF0mSNLqpwNbAT4GlrXcYcCRJUuM4yViSJDWOAUeSJDWOAUeSJDWOAUeSJDWOAUeSJDWOAUeSJDWOAUeSJDWOAUeSJDWO16Lqsog4BDgB6AU+mZmfmeAqrRciYjbwI2D/zLwlIp4HfAKYCZyfmSdMaAXXAxHxHuCgevPbmfkO23FsIuL9wD8C/cBZmfkJ23DtRMTHga0y83DbcGwi4vvAw4C+WvQGYBa24Yj8JeMuioi/o1wbYxfKT0j/CHhlZl4/oRWb5CLiacAZwE7AjsCfgQSeBfwB+DYlLF4yYZWc5OoJ5H3Asykn5+8AZwInYTu2JSKeBXwI2IfyAeV64GXAN7ENxyQingt8ldJeb8TXc9sioge4Hdg2M5fXspnYhqNyiKq7ngdckZl/zcwlwIWUT4Ma2ZHAscAf6+3dgZsy8+b6Aj8XOHCiKreeuBN4a2Yuy8w+4AZKWLQd25SZ/wM8u7bVwyg93nOwDcckIragBMUP1yJfz2MT9f9LI+LaiDgO27AtBpzu2oZyohlwJ/DICarLeiMzX5+ZrVd2tx3HKDOvy8yrASLisZShqpXYjmOSmX0R8T5K783l+FxcG6cD/wb8rd62Dcdmc8pz7+XAc4GjgXnYhqMy4HTXFMrwwIAeyklGY2M7rqWIeDxwGfB24PfYjmOWme8B5gKPovSC2YZtiojXA3/IzMtbin09j0Fm/jgzD8vMezLzL8BZwPuxDUdlwOmu2ymXcR/wCFYPu6h9tuNaiIhnUj75/UtmfhHbcUwiYqeImA+QmfcDX6fMx7EN23cw8PyIWEA5Kf898Hpsw7ZFxJ51DtOAHuAWbMNR+S2q7voe8N6ImAssAQ4AjprYKq2XrgEiInYAbgYOAc6e2CpNbhHxKOAbwMGZeUUtth3HZnvgfRGxJ+XT8kspwy0fsw3bk5n7DvwdEYdTAuLRwE22YdvmAO+PiD0ok91fQ2nDC2zDkdmD00WZeQdl7Pn7wALgvMz8yYRWaj2UmQ8ChwNfo8yFuJEyYVvDexuwEfCJiFhQP0Efju3Ytsy8mPLtlF8CPwd+lJlfxTbsiK/nscnMb7Hm8/DszPwxtuGo/Jq4JElqHHtwJElS4xhwJElS4xhwJElS4xhwJElS4xhwJElS4/g7OFKDRcSpwN715uMov5nxQL39jMx8YIh1Xgw8LTPfPcq2fwB8OjMvHFR+DrAvsLAWTQeuBN6bmX9auyMZXUTsU+vzhHHa3tuAJ2Tm4eOxvbWsw3sp12W7oxb1Ar8C3p2ZN01UvaT1gQFHarDMPH7g74i4BTg0M382ymq7AVt0uOuTM/Pjdb89wL8C34mIXTJzRYfb3tCcn5nHDdyIiFcDV0TE4zNz8QTWS5rUDDjSBioiTgReCSwHfgscB2xL+ZXUqRFxD+UK0J8FHgtsCdwLHJKZ2e5+MrMf+HD9Jdt9KUHnZcB7KMPk9wL/DPwfcCvw8MxcEhGnAztl5rNqfW+i/NT/JcA5lAsPzgP+MzNPHHRsmwGfAeZTfoX4EuBdmbk8Io4A3kDpWdoC+PfM/GxE9AKn1jreBfwZuKdu7x+AEyjX+1kBvD0zrxy0z8MpV3SeUtvxDuA1mfnHWp9TgCdSemEur9tYHhFLgf8GnkwbATQzv1RDziHA50Y4nsuACzLzjFq/E4AtM/MtI21fagrn4EgboIh4LbAfsFtmPgn4DXBOZl4DfI7Sa/BvdZm7M/MZmbkj8FNKEFob1wJPjIid6j4OyMwnA++mnOD7gJ8Az67L71OqGptGxOOAvsy8od63aWbuBewBvC0iHj1oX6cCiyiBYldKeHhbRGwKHAm8KDOfQrlW0kfrOsdQLqb5OErImdeyvY8Bx2TmrsCJtW5DeRbwT5n5OMqvzp5ay08Gfp6ZuwBPAbaihDooweSbmRlt9K4NGGjLkY7nM/U+ImIK8DpKu0sbBAOOtGHaD/hCZi6pt08BnhsR01sXqvNrzomIN0XEKZQT+6Zruc9+4H7gOcDlmfn7uo8rKD0muwAXAftFxM6UHpD/pYSGl1J+ln7Af9d176jrDh5S248yH6c/M5dSTuz7ZeZ9wP7AiyPiA5RLqQwcz/Mol1NZVtvlyy3b+ypwUUScCWzO6hAx2KWZ+dv69xnAC+rf+wNvqJfM+DmwOyV8DbhqmO0Npx+4f5Tj+Sbw8Ih4cq3HzWPpeZPWdwYcacM0lXKSHDCFMmTd07pQRLwROIsSTM4DvjJ4mXbUeTi7AL8eYt8D+++lBhzg+cBl9d/zKUNTrZOZWydH9w9Rpyk89Ph6I+KRlOvCbQv8kDLs1Kp1O8sH/qi9WXsCP6NcA+hKhra85e8plOEsKMd8YGbOz8z5wNNYsyfsvmG2N5zdgF+PdDx1rtPpwBH1n7032qAYcKQN03eAIyJik3r7eODK2tuxnBI2oHzyPyczzwISeAnlZN22iJhKGYb6S523cjnwgojYvt7/HOBRwDWZeTvwF8o8oEuB7wIHUOaOXDuG3X4XOC4ieiJiBnAUJSztSvl21wfr9vdvqeMlwGERsVFEbEQZ7iEiptUJ2htn5ucoQ1lPqtsd7LkR8Xf176MpvSgD9XlLS33+H2s51BcRr6Nc6fyCUY4H4Ezg5azuHZM2GE4yljZMZ1FCxU/q/IzfAYfW+64AzouITwEfBz5fT6o9wI9Zc2hlOG+JiFdRelGmUubuvAggM6+PiGOAr0fENErv0Esy85667kXAW4FfZubKiHiAsZ+cjwc+Rekxmk4JdB+ivOcdQQlrK4H/oQSEHSi9HTtQ5iMtAm6q9V0eEW+ubdJX1zuihsHBbge+FBFbU67yfFRLfU6p9ekFvsfww1yDHRwRe1Lackqt+z6Z+WBEXDrC8WRm3hURPwNuyMy+NvcnNYJXE5ekcVC/RfWPmbn/RNdlQERsRQmXe2fmHya6PtK65BCVJDVQRBwJ3AB8zHCjDZE9OJIkqXHswZEkSY1jwJEkSY1jwJEkSY1jwJEkSY1jwJEkSY3z/wE74JeNb8Lj3AAAAABJRU5ErkJggg==\n", + "image/png": 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\n", 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" ] @@ -2647,12 +2950,12 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 23, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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" ] diff --git a/datasets.csv b/datasets.csv new file mode 100644 index 0000000..fcdf0a1 --- /dev/null +++ b/datasets.csv @@ -0,0 +1,22 @@ +name,id +Hurricane Evacuation Zones,uihr-hn7s +Sandy Inundation Zone,uyj8-7rv5 +NYC Stormwater Flood Map - Moderate Flood with Current Sea Levels,7r5q-vr7p +NYC Stormwater Flood Map - Moderate Flood with 2050 Sea Level Rise,5rzh-cyqd +NYC Stormwater Flood Map - Extreme Flood with 2080 Sea Level Rise,w8eg-8ha6 +Projected Sea Level Rise,6an6-9htp +Sea Level Rise Maps (2020s 100-year Floodplain),ezfn-5dsb +Sea Level Rise Maps (2020s 500-year Floodplain),ajyu-7sgg +Sea Level Rise Maps (2050s 100-year Floodplain),hbw8-2bah +Sea Level Rise Maps (2050s 500-year Floodplain),qwca-zqw3 +2050s Mean Sea Level,3vjp-ybhy +2080s Mean Sea Level,cyvg-fsk8 +2100s Mean Sea Level,q7rf-ks4h +2020s Mean Monthly High Water,ebsy-4b6x +2050s Mean Monthly High Water,p8e8-yh4m +2080s Mean Monthly High Water,amfa-s2y8 +2100s Mean Monthly High Water,mzds-2cdc +Building Elevation and Subgrade (BES),bsin-59hv +DEP Green Infrastructure,spjh-pz7h +1 foot Digital Elevation Model (DEM),dpc8-z3jc +DEPs Citywide Parcel-Based Impervious Area GIS Study,uex9-rfq8 \ No newline at end of file