{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# My First Data Science Project" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Helicopter Escapes!" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We begin by importing some helper functions." ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "from helper import *" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Get the Data" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now, let's get the data from the [List of helicopter prison escapes](https://en.wikipedia.org/wiki/List_of_helicopter_prison_escapes) Wikipedia article." ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "url = \"https://en.wikipedia.org/wiki/List_of_helicopter_prison_escapes\"\n", "data = data_from_url(url)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Let's print the first three rows." ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "['August 19, 1971', 'Santa Martha Acatitla', 'Mexico', 'Yes', 'Joel David Kaplan Carlos Antonio Contreras Castro', \"Joel David Kaplan was a New York businessman who had been arrested for murder in 1962 in Mexico City and was incarcerated at the Santa Martha Acatitla prison in the Iztapalapa borough of Mexico City. Joel's sister, Judy Kaplan, arranged the means for to help Kaplan escape, and on August 19, 1971, a helicopter landed in the prison yard. The guards mistakenly thought this was an official visit. In two minutes, Kaplan and his cellmate Carlos Antonio Contreras, a Venezuelan counterfeiter, were able to board the craft and were piloted away, before any shots were fired.[9] Both men were flown to Texas and then different planes flew Kaplan to California and Castro to Guatemala.[3] The Mexican government never initiated extradition proceedings against Kaplan.[9] The escape is told in a book, The 10-Second Jailbreak: The Helicopter Escape of Joel David Kaplan.[4] It also inspired the 1975 action movie Breakout, which starred Charles Bronson and Robert Duvall.[9]\"]\n", "['October 31, 1973', 'Mountjoy Jail', 'Ireland', 'Yes', \"JB O'Hagan Seamus TwomeyKevin Mallon\", 'On October 31, 1973 an IRA member hijacked a helicopter and forced the pilot to land in the exercise yard of Dublin\\'s Mountjoy Jail\\'s D Wing at 3:40\\xa0p.m., October 31, 1973. Three members of the IRA were able to escape: JB O\\'Hagan, Seamus Twomey and Kevin Mallon. Another prisoner who also was in the prison was quoted as saying, \"One shamefaced screw apologised to the governor and said he thought it was the new Minister for Defence (Paddy Donegan) arriving. I told him it was our Minister of Defence leaving.\" The Mountjoy helicopter escape became Republican lore and was immortalized by \"The Helicopter Song\", which contains the lines \"It\\'s up like a bird and over the city. There\\'s three men a\\'missing I heard the warder say\".[1]']\n", "['May 24, 1978', 'United States Penitentiary, Marion', 'United States', 'No', 'Garrett Brock TrapnellMartin Joseph McNallyJames Kenneth Johnson', \"43-year-old Barbara Ann Oswald hijacked a Saint Louis-based charter helicopter and forced the pilot to land in the yard at USP Marion. While landing the aircraft, the pilot, Allen Barklage, who was a Vietnam War veteran, struggled with Oswald and managed to wrestle the gun away from her. Barklage then shot and killed Oswald, thwarting the escape.[10] A few months later Oswald's daughter hijacked TWA Flight 541 in an effort to free Trapnell.\"]\n" ] } ], "source": [ "for row in data[:3]:\n", " print(row)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Removing the Details" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We initialize an `index` variable with the value of `0`. The purpose of this variable is to help us track which row we're modifying." ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "index = 0\n", "for row in data:\n", " data[index] = row[:-1]\n", " index += 1" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[['August 19, 1971', 'Santa Martha Acatitla', 'Mexico', 'Yes', 'Joel David Kaplan Carlos Antonio Contreras Castro'], ['October 31, 1973', 'Mountjoy Jail', 'Ireland', 'Yes', \"JB O'Hagan Seamus TwomeyKevin Mallon\"], ['May 24, 1978', 'United States Penitentiary, Marion', 'United States', 'No', 'Garrett Brock TrapnellMartin Joseph McNallyJames Kenneth Johnson']]\n" ] } ], "source": [ "print(data[:3])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Extracting the Year" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [], "source": [ "for row in data:\n", " row[0] = fetch_year(row[0])" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[[1971, 'Santa Martha Acatitla', 'Mexico', 'Yes', 'Joel David Kaplan Carlos Antonio Contreras Castro'], [1973, 'Mountjoy Jail', 'Ireland', 'Yes', \"JB O'Hagan Seamus TwomeyKevin Mallon\"], [1978, 'United States Penitentiary, Marion', 'United States', 'No', 'Garrett Brock TrapnellMartin Joseph McNallyJames Kenneth Johnson']]\n" ] } ], "source": [ "print(data[:3])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Attempts per Year" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [], "source": [ "min_year = min(data, key=lambda x: x[0])[0]\n", "max_year = max(data, key=lambda x: x[0])[0]" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [], "source": [ "years = []\n", "for y in range(min_year, max_year + 1):\n", " years.append(y)" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [], "source": [ "attempts_per_year = []\n", "for y in years:\n", " attempts_per_year.append([y, 0])" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[[1971, 1], [1972, 0], [1973, 1], [1974, 0], [1975, 0], [1976, 0], [1977, 0], [1978, 1], [1979, 0], [1980, 0], [1981, 2], [1982, 0], [1983, 1], [1984, 0], [1985, 2], [1986, 3], [1987, 1], [1988, 1], [1989, 2], [1990, 1], [1991, 1], [1992, 2], [1993, 1], [1994, 0], [1995, 0], [1996, 1], [1997, 1], [1998, 0], [1999, 1], [2000, 2], [2001, 3], [2002, 2], [2003, 1], [2004, 0], [2005, 2], [2006, 1], [2007, 3], [2008, 0], [2009, 3], [2010, 1], [2011, 0], [2012, 1], [2013, 2], [2014, 1], [2015, 0], [2016, 1], [2017, 0], [2018, 1], [2019, 0], [2020, 1]]\n" ] } ], "source": [ "for row in data:\n", " for ya in attempts_per_year:\n", " y = ya[0]\n", " if row[0] == y:\n", " ya[1] += 1\n", " \n", "print(attempts_per_year) " ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "%matplotlib inline\n", "barplot(attempts_per_year)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The years in which the most helicopter prison break attempts occurred were 1986, 2001, 2007 and 2009, with a total of three attempts each." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Attempts by Country" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
CountryNumber of Occurrences
France15
United States8
Belgium4
Canada4
Greece4
Australia2
Brazil2
United Kingdom2
Mexico1
Ireland1
Italy1
Puerto Rico1
Chile1
Netherlands1
Russia1
" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "countries_frequency = df.groupby(\"Country\").count()\n", "print_pretty_table(countries_frequency)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "By and far, the country with the most helicopter prison escape attempts is France." ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "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": "3.8.8" } }, "nbformat": 4, "nbformat_minor": 4 }