{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# UC San Diego: Data Science in Practice - EDA 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": [ "(This checkpoint helps you to perform your EDA on your data for your project. You can remove this text description. Consider this the next step in your final project. See the project readme for bullet points to check off in terms of details to include beyond the main section heading content below.)" ] }, { "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": [ "*Fill in your research question here*" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Setup" ] }, { "cell_type": "code", "execution_count": 1, "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" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Data Analysis & Results (EDA)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Carry out EDA on your dataset(s); Describe in this section" ] }, { "cell_type": "code", "execution_count": 3, "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 }