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Main #55

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53fd6e5
added github workflow
wypad161 Mar 3, 2025
5194281
updated
wypad161 Mar 3, 2025
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1 change: 0 additions & 1 deletion .vscode/settings.json
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Original file line number Diff line number Diff line change
Expand Up @@ -17,7 +17,6 @@
"files.autoSave": "afterDelay",
"screencastMode.onlyKeyboardShortcuts": true,
"terminal.integrated.fontSize": 18,
"workbench.activityBar.visible": true,
"workbench.colorTheme": "Visual Studio Dark",
"workbench.fontAliasing": "antialiased",
"workbench.statusBar.visible": true
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Binary file modified data/nyc_parking_violations.db
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Binary file modified data/prod_nyc_parking_violations.db
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10 changes: 5 additions & 5 deletions nyc_parking_violations/models/bronze/bronze_parking_violation_codes.sql
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@@ -1,7 +1,7 @@
SELECT
code AS violation_code,
definition,
manhattan_96th_st_below,
all_other_areas
code AS violation_code,
definition,
manhattan_96th_st_below,
all_other_areas
FROM
parking_violation_codes
parking_violation_codes
4 changes: 2 additions & 2 deletions nyc_parking_violations/models/example/ref_model.sql
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@@ -1,4 +1,4 @@
SELECT
COUNT(*)
FROM
{{ref('first_model')}}
FROM
{{ref('first_model')}}
17 changes: 7 additions & 10 deletions nyc_parking_violations/profiles.yml
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@@ -1,12 +1,9 @@
nyc_parking_violations:
outputs:
dev:
type: duckdb
path: '../data/nyc_parking_violations.db'
prod:
type: duckdb
# note that path is slightly different as GitHub actions
# start in the root directory and not in the
# nyc_parking_violations directory
path: './data/prod_nyc_parking_violations.db'
target: dev
dev:
type: duckdb
path: '../data/nyc_parking_violations.db'
prod:
type: duckdb
path: './data/prod_nyc_parking_violations.db'
target: dev
203 changes: 199 additions & 4 deletions run_sql_queries_here.ipynb
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Expand Up @@ -2,7 +2,7 @@
"cells": [
{
"cell_type": "code",
"execution_count": null,
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
Expand All @@ -12,17 +12,212 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 3,
"metadata": {},
"outputs": [],
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>count_star()</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>97</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" count_star()\n",
"0 97"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"sql_query = '''\n",
"show tables\n",
"SELECT * FROM ref_model\n",
"'''\n",
"\n",
"with duckdb.connect('data/nyc_parking_violations.db') as con:\n",
" display(con.sql(sql_query).df())"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>registration_state</th>\n",
" <th>ticket_count</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>NJ</td>\n",
" <td>9258</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>PA</td>\n",
" <td>3514</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>FL</td>\n",
" <td>2414</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>CT</td>\n",
" <td>1787</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>GA</td>\n",
" <td>840</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>57</th>\n",
" <td>AB</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>58</th>\n",
" <td>BC</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>59</th>\n",
" <td>NB</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>60</th>\n",
" <td>PE</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>61</th>\n",
" <td>SK</td>\n",
" <td>1</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>62 rows × 2 columns</p>\n",
"</div>"
],
"text/plain": [
" registration_state ticket_count\n",
"0 NJ 9258\n",
"1 PA 3514\n",
"2 FL 2414\n",
"3 CT 1787\n",
"4 GA 840\n",
".. ... ...\n",
"57 AB 1\n",
"58 BC 1\n",
"59 NB 1\n",
"60 PE 1\n",
"61 SK 1\n",
"\n",
"[62 rows x 2 columns]"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"sql_query = '''\n",
"select * from gold_vehicles_metrics\n",
"'''\n",
"\n",
"with duckdb.connect('data/nyc_parking_violations.db') as con:\n",
" display(con.sql(sql_query).df())"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {},
"outputs": [],
"source": [
"import duckdb\n",
"\n",
"sql_query_import_1 = '''\n",
"CREATE OR REPLACE TABLE parking_violation_codes AS\n",
"SELECT *\n",
"FROM read_csv_auto(\n",
"'data/dof_parking_violation_codes.csv',\n",
"normalize_names=True\n",
")\n",
"'''\n",
"\n",
"sql_query_import_2 = '''\n",
"CREATE OR REPLACE TABLE parking_violations_2023 AS\n",
"SELECT *\n",
"FROM read_csv_auto(\n",
"'data/parking_violations_issued_fiscal_year_2023_sample.csv',\n",
"normalize_names=True\n",
")\n",
"'''\n",
"\n",
"with duckdb.connect('data/prod_nyc_parking_violations.db') as con:\n",
" con.sql(sql_query_import_1)\n",
" con.sql(sql_query_import_2)\n",
"\n"
]
}
],
"metadata": {
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