Add a simple notebook example, and use the current path to save data (#6)

* Add a simple notebook example, and use the current path to save data

* Update yarn.lock

Author: brichet

examples/demo.ipynb

@@ -0,0 +1,109 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "6388f34a-ebb3-4c86-82c1-a53d753178f3",
+   "metadata": {},
+   "source": [
+    "## How to use the SQL cell\n",
+    "\n",
+    "When running the extension without specifying a database, the default database is https://www.kaggle.com/datasets/freeman007/world-data/\n",
+    "\n",
+    "This database contains the following columns:\n",
+    "\n",
+    "\n",
+    "- **Country**: The name of the country.\n",
+    "- **Density**: The population density of the country.\n",
+    "- **Abbreviation**: The abbreviation or code representing the country.\n",
+    "- **AgriculturalLand**: The percentage of land used for agriculture.\n",
+    "- **LandArea**: The total land area of the country.\n",
+    "- **ArmedForcesSize**: The size of the country's armed forces.\n",
+    "- **BirthRate**: The birth rate per population.\n",
+    "- **CallingCode**: The international calling code of the country.\n",
+    "- **CapitalMajorCity**: The major city serving as the capital.\n",
+    "- **Co2-Emissions**: The amount of CO2 emissions produced in the country.\n",
+    "- **CPI: The Consumer Price Index**, indicating inflation and cost of living.\n",
+    "- **CPIChange**: The change in Consumer Price Index over time.\n",
+    "- **Currency-Code**: The code representing the country's currency.\n",
+    "- **FertilityRate**: The average number of children per woman.\n",
+    "- **Forested Area**: The percentage of land covered by forests.\n",
+    "- **Gasoline Price**: The price of gasoline in the country.\n",
+    "- **GDP**: Gross Domestic Product, the economic output of the country.\n",
+    "- **GrossPrimaryEducationEnrollment**: Enrollment rate in primary education.\n",
+    "- **GrossTertiaryEducationEnrollment**: Enrollment rate in tertiary education.\n",
+    "- **InfantMortality**: The infant mortality rate.\n",
+    "- **LargestCity**: The name of the largest city in the country.\n",
+    "- **LifeExpectancy**: The average expected lifespan.\n",
+    "- **MaternalMortalityRatio**: The maternal deaths related to childbirth per 100,000 live births.\n",
+    "- **MinimumWage**: The minimum wage mandated by the government.\n",
+    "- **OfficialLanguage**: The official language(s) spoken in the country.\n",
+    "- **OutOfPocketHealthExpenditure**: The share of health expenses paid by individuals.\n",
+    "- **PhysiciansPerThousand**: The number of physicians per 1000 people.\n",
+    "- **Population**: The total population of the country.\n",
+    "- **PopulationLaborForceParticipation**: The percentage of the population in the labor force.\n",
+    "- **TaxRevenue**: Government income from taxes.\n",
+    "- **TotalTaxRate**: The total tax burden as a percentage of commercial profits.\n",
+    "- **UnemploymentRate**: The percentage of unemployed individuals in the labor force.\n",
+    "- **Urban_Population**: The population living in urban areas.\n",
+    "- **Latitude**: The geographic latitude coordinate.\n",
+    "- **Longitude**: The geographic longitude coordinate.\n",
+    "\n",
+    "\n"
+   ]
+  },
+  {
+   "attachments": {
+    "31de0b2a-2fda-4b2f-af4b-870da9fbf48d.png": {
+     "image/png": 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"
+    },
+    "5b281dd0-15b9-4b2f-a0e6-9790259731d1.png": {
+     "image/png": "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"
+    }
+   },
+   "cell_type": "markdown",
+   "id": "5121b176-28ad-4927-a22b-e6232a2d241c",
+   "metadata": {},
+   "source": [
+    "To run some SQL query, the cell embedded the query must be converted as SQL cell.\n",
+    "\n",
+    "- Create a new raw cell and click on the checkbox <img src=attachment:31de0b2a-2fda-4b2f-af4b-870da9fbf48d.png width=100px> in notebook toolbar's widget \n",
+    "(the checkbox should now be checked as <img src=attachment:5b281dd0-15b9-4b2f-a0e6-9790259731d1.png width=100px>).\n",
+    "- Then you can write an SQL query and run it by using the play button in the widget above.\n",
+    "This will create a csv file in a *_sql_ouptut* directory (in the current working directory)."
+   ]
+  },
+  {
+   "cell_type": "raw",
+   "id": "43141ba3-233e-428b-9872-15b2c9e24df1",
+   "metadata": {
+    "format": "application/sql"
+   },
+   "source": [
+    "-- QUERY EXAMPLE\n",
+    "\n",
+    "SELECT Country, Population FROM world ORDER BY CAST(Population AS INTEGER) DESC"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

package.json

@@ -61,6 +61,7 @@
         "@jupyterlab/apputils": "^4.0.0",
         "@jupyterlab/cells": "^4.0.0",
         "@jupyterlab/coreutils": "^6.0.0",
+        "@jupyterlab/filebrowser": "^4.0.0",
         "@jupyterlab/notebook": "^4.0.0",
         "@jupyterlab/services": "^7.0.0",
         "@jupyterlab/settingregistry": "^4.0.0",