{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Data understanding of Titanic dataset\n", "\n", "Analyze the *titanic2* dataset.\n", "\n", "1. Use *titanic_train.csv*.\n", "2. Find out size of dataset, if there is a column with ID and if there are duplicated rows.\n", "3. Check data quality: proper types for columns, presence of missing and unexpected values.\n", "4. What columns can be important and unimportant for predicting the probability of surviving? Focus on them and check:\n", " - validity and distribution of their values\n", " - relationship of each to the `survived` column\n", "5. Find out companies of passengers travelling on a common ticket (more than one person). What other columns have same value for same ticket? What are the most typical cases of such companies?" ] } ], "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": "3.9.18" } }, "nbformat": 4, "nbformat_minor": 1 }