Assignment 1

02_activities/assignments/participation/.gitignore

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+ttc_lrt_delays.csv
+ttc_lrt_delays.csv

02_activities/assignments/participation/session_02.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "b1bddcfc",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "\"\"\"\n",
+    "Visualization — Live Learning Session 2\n",
+    "Date: 2026-01-20\n",
+    "\n",
+    "Overview:\n",
+    "- This session focused on understanding good and bad data visualization.\n",
+    "- We discussed how visualization choices depend on purpose audience and context.\n",
+    "- Examples were shown to compare effective and ineffective chart designs.\n",
+    "\n",
+    "Notes:\n",
+    "- A good visualization makes the message easy to understand.\n",
+    "- A bad visualization increases confusion or can mislead the viewer.\n",
+    "- Design choices such as chart type labels color and scale matter.\n",
+    "- Bar charts are usually better for comparing values than pie charts.\n",
+    "- Too many colors effects or decorations reduce clarity.\n",
+    "- Accessibility includes readable labels good contrast and not relying only on color.\n",
+    "\"\"\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "77d4aa72",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import matplotlib.pyplot as plt"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "50a8a366",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Sample data used to demonstrate different visualization choices\n",
+    "categories = [\"A\", \"B\", \"C\", \"D\", \"E\"]\n",
+    "values = [25, 40, 55, 30, 45]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "90cd4a83",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Clear example: bar chart\n",
+    "fig, ax = plt.subplots(figsize=(6, 3))\n",
+    "ax.bar(categories, values)\n",
+    "ax.set_title(\"Bar chart example\")\n",
+    "ax.set_xlabel(\"Category\")\n",
+    "ax.set_ylabel(\"Value\")\n",
+    "plt.tight_layout()\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "7b59ea4d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Less effective example: pie chart for comparison\n",
+    "fig, ax = plt.subplots(figsize=(5, 4))\n",
+    "ax.pie(values, labels=categories, autopct=\"%1.0f%%\")\n",
+    "ax.set_title(\"Pie chart example\")\n",
+    "plt.tight_layout()\n",
+    "plt.show()"
+   ]
+  }
+ ],
+ "metadata": {
+  "jupytext": {
+   "cell_metadata_filter": "-all",
+   "main_language": "python",
+   "notebook_metadata_filter": "-all"
+  },
+  "language_info": {
+   "name": "python"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}