{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# UC San Diego: Data Science in Practice - Data Checkpoint\n", "### Summer Session I 2023 | Instructor : C. Alex Simpkins Ph.D.\n", "\n", "## Draft project title if you have one (can be changed later)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Names\n", "\n", "- Ant Man\n", "- Hulk\n", "- Iron Man\n", "- Thor\n", "- Wasp" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "\n", "# Research Question" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "* One sentence that describes the question you address in your project. Make sure what you’re measuring (variables) to answer your question is clear!\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Dataset(s)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "*Fill in your dataset information here*\n", "\n", "(Copy this information for each dataset)\n", "- Dataset Name:\n", "- Link to the dataset:\n", "- Number of observations:\n", "\n", "1-2 sentences describing each dataset. \n", "\n", "If you plan to use multiple datasets, add 1-2 sentences about how you plan to combine these datasets." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Data Wrangling" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "* Explain steps taken to pull the data you need into Python." ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "## YOUR CODE HERE" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Data Cleaning" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Describe your data cleaning steps here." ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "## YOUR CODE HERE\n", "## FEEL FREE TO ADD MULTIPLE CELLS PER SECTION" ] } ], "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": "3.9.13" } }, "nbformat": 4, "nbformat_minor": 2 }