Add a comprehensive README that explains how to prepare a Python virtual environment, install packages, and register an ipykernel for running the lab notebooks in VS Code. Include two starter notebooks: TASK0_Datasaurus_Starter.ipynb (datasaurus warm-up with data loading, summary stats, optional SweetViz report, and faceted scatter plotting) and VisInt_Lab_01_Task_0.ipynb (lab header/metadata). Add .gitignore to exclude a local /.venv directory.
37 lines
623 B
Plaintext
37 lines
623 B
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "64f0fe5d",
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"metadata": {},
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"source": [
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"**43679 - Interactive Visualization**\n",
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"**2025 - 2026**\n",
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"*2nd semester*\n",
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"\n",
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"**Lab 01** - Task 0\n",
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"Exploring the value of Visualization to go beyond descriptive statistics"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "d9080704",
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"metadata": {
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"vscode": {
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"languageId": "plaintext"
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}
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},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"language_info": {
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"name": "python"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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