From a49cc771b861e1b338b71f26e0aec3b329ccead8 Mon Sep 17 00:00:00 2001
From: bennteaa <104936549@student.swin.edu.au>
Date: Tue, 20 May 2025 19:54:27 +1000
Subject: [PATCH] CSV manipulation

CSV manipulation provided for continents on csv
---
 .DS_Store           | Bin 6148 -> 6148 bytes
 ContinentsPHS.ipynb |  68 ++++++++++++++++++++++++++++++++++++++++++++
 2 files changed, 68 insertions(+)
 create mode 100644 ContinentsPHS.ipynb

diff --git a/.DS_Store b/.DS_Store
index abe74b03b70a06cbde227e6efebaac370933a512..85e7f17f5666fd114a85f52fe1f4c185f81a6d73 100644
GIT binary patch
delta 41
xcmZoMXfc@J&&akhU^gQ-8v_FaGlMfjFhlTUF(&!V-b{N~CpL&}X6N|J4*=9G3W)#!

delta 58
zcmZoMXfc@J&&a+pU^gQ-I|Bm)Gea^%F+=fWF(!FoD7!4UC@&{JFC8e$xY>wlKkH_8
Hj=%f>mt_uT

diff --git a/ContinentsPHS.ipynb b/ContinentsPHS.ipynb
new file mode 100644
index 0000000..9942f53
--- /dev/null
+++ b/ContinentsPHS.ipynb
@@ -0,0 +1,68 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "31c78300-b0ea-4e03-979f-b8f12a55a4df",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "\n",
+    "# Load your CSV\n",
+    "df = pd.read_csv(\"FilteredPHSbySES.csv\")\n",
+    "\n",
+    "# Define full mapping\n",
+    "country_to_continent = {\n",
+    "    'POL': 'Europe', 'NZL': 'Oceania', 'FRA': 'Europe', 'USA': 'North America', 'CAN': 'North America',\n",
+    "    'AUS': 'Oceania', 'JPN': 'Asia', 'KOR': 'Asia', 'MEX': 'North America', 'CHL': 'South America',\n",
+    "    'DEU': 'Europe', 'ITA': 'Europe', 'ESP': 'Europe', 'SWE': 'Europe', 'NOR': 'Europe', 'DNK': 'Europe',\n",
+    "    'FIN': 'Europe', 'NLD': 'Europe', 'BEL': 'Europe', 'CHE': 'Europe', 'GBR': 'Europe', 'IRL': 'Europe',\n",
+    "    'AUT': 'Europe', 'COL': 'South America', 'SVK': 'Europe', 'GRC': 'Europe', 'TUR': 'Europe',\n",
+    "    'HUN': 'Europe', 'LTU': 'Europe', 'CZE': 'Europe', 'EST': 'Europe', 'HRV': 'Europe', 'SVN': 'Europe',\n",
+    "    'BGR': 'Europe', 'PRT': 'Europe', 'LVA': 'Europe', 'ISR': 'Asia', 'LUX': 'Europe', 'ROU': 'Europe',\n",
+    "    'ISL': 'Europe'\n",
+    "}\n",
+    "\n",
+    "# Update the ACTION column with continent mapping, then rename to CONTINENT\n",
+    "if 'ACTION' in df.columns:\n",
+    "    df['ACTION'] = df['REF_AREA'].map(country_to_continent)\n",
+    "    df.rename(columns={'ACTION': 'CONTINENT'}, inplace=True)\n",
+    "else:\n",
+    "    df['CONTINENT'] = df['REF_AREA'].map(country_to_continent)\n",
+    "\n",
+    "# Save the updated file if needed\n",
+    "df.to_csv(\"PHSwithContinent.csv\", index=False)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c29ebc0a-0d73-4541-b860-fec52aef9561",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python [conda env:base] *",
+   "language": "python",
+   "name": "conda-base-py"
+  },
+  "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
+}