{ "cells": [ { "cell_type": "markdown", "id": "802e2a95-0f59-4f64-bc2d-d5736e852fad", "metadata": { "tags": [] }, "source": [ "###
San Jose State University
Department of Applied Data Science

**DATA 200
Computational Programming for Data Analytics**

Spring 2024
Instructor: Ron Mak

**Assignment #11
`matplotlib` graphs**

Assigned: April 18, 2024
Due: April 25 at 5:30 PM

140 points maximum
Individual work only!
" ] }, { "cell_type": "markdown", "id": "17d912f7-8858-479f-81fb-bcc35dd498a5", "metadata": {}, "source": [ "#### This assignment will give you practice making various graphs with the `matplotlib` module." ] }, { "cell_type": "markdown", "id": "ebb884a2-c72d-4a8c-8c45-7de8447ff3e5", "metadata": {}, "source": [ "#### **PROBLEM 1.** [20 points each] Using the same input datafile `covid_data.csv` from the previous assignment, construct six (6) ***different*** types of graphs (stacked bar, line, pie, etc.). You can choose which graphs to construct and what they represent, as long as they are different types. Each graph should have a title and, if appropriate, a legend.\n", "#### You can use another data source if you find one that you like better than the Covid data." ] }, { "cell_type": "markdown", "id": "9b630a46-886b-4e06-93ea-2beee7f32082", "metadata": {}, "source": [ "#### **PROBLEM 2.** [20 points] Display your graphs as subplots arranged in three rows and two columns." ] }, { "cell_type": "markdown", "id": "906eb3f2-e961-4e09-a401-900de1711357", "metadata": {}, "source": [ "#### **TIP:** First make sure each of your graphs displays properly standalone. Then make them subplots." ] } ], "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": "3.11.5" } }, "nbformat": 4, "nbformat_minor": 5 }