feat: add setup notebook and update env example for Athena

studies/202602_AmazonConnect/notebooks/03_business_case.ipynb

@@ -2,6 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
+   "id": "4173501f",
    "metadata": {},
    "source": [
     "# 03 — Business Case\n",
@@ -16,6 +17,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
+   "id": "3cc4b453",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -35,6 +37,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
+   "id": "62c56628",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -47,6 +50,7 @@
   },
   {
    "cell_type": "markdown",
+   "id": "11fdc7c3",
    "metadata": {},
    "source": [
     "## Local summary (no Athena round-trip)\n",
@@ -58,6 +62,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
+   "id": "7d295b06",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -75,6 +80,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
+   "id": "c3fc75fb",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -84,6 +90,7 @@
   },
   {
    "cell_type": "markdown",
+   "id": "dd58e4c8",
    "metadata": {},
    "source": [
     "## Cash flow chart\n",
@@ -95,6 +102,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
+   "id": "5d293439",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -106,6 +114,7 @@
   },
   {
    "cell_type": "markdown",
+   "id": "3b4b7b39",
    "metadata": {},
    "source": [
     "## Waterfall: Benefits PV → Costs PV → NPV"
@@ -114,6 +123,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
+   "id": "04012e0f",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -126,6 +136,7 @@
   },
   {
    "cell_type": "markdown",
+   "id": "b48db610",
    "metadata": {},
    "source": [
     "## Scenario analysis\n",
@@ -140,6 +151,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
+   "id": "1fb9aa20",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -171,6 +183,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
+   "id": "0ff81b9d",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -179,6 +192,7 @@
   },
   {
    "cell_type": "markdown",
+   "id": "270745bf",
    "metadata": {},
    "source": [
     "## Cross-check vs Athena (optional)\n",
@@ -190,6 +204,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
+   "id": "c8239dbd",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -206,6 +221,7 @@
   },
   {
    "cell_type": "markdown",
+   "id": "794848f5",
    "metadata": {},
    "source": [
     "Continue with [`04_export.ipynb`](04_export.ipynb) →"
@@ -213,8 +229,23 @@
   }
  ],
  "metadata": {
-  "kernelspec": {"display_name": "Python 3", "language": "python", "name": "python3"},
-  "language_info": {"name": "python", "version": "3.11"}
+  "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": "3.12.7"
+  }
  },
  "nbformat": 4,
  "nbformat_minor": 5