{ "metadata": { "name": "" }, "nbformat": 3, "nbformat_minor": 0, "worksheets": [ { "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Homework 3. Bayesian Tomatoes" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Due Thursday, October 17, 11:59pm" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
\n", "\n", " \n", "\n", " \n", "\n", "\n", "<class 'pandas.core.frame.DataFrame'>\n", "Int64Index: 15610 entries, 0 to 15609\n", "Data columns (total 10 columns):\n", "critic 14841 non-null values\n", "date 15610 non-null values\n", "fresh 15610 non-null values\n", "imdb 15610 non-null values\n", "original_score 7631 non-null values\n", "publication 15610 non-null values\n", "quote 15610 non-null values\n", "review_date 13150 non-null values\n", "rt_id 15610 non-null values\n", "title 15610 non-null values\n", "dtypes: int64(2), object(8)\n", "" ], "metadata": {}, "output_type": "pyout", "prompt_number": 10, "text": [ "