vietnam_conflict_simple_plot.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 113,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#import the env\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 58220 entries, 0 to 58219\n",
      "Data columns (total 31 columns):\n",
      "SERVICE_TYPE               58038 non-null object\n",
      "SERVICE_CODE               58220 non-null object\n",
      "ENROLLMENT                 58217 non-null object\n",
      "BRANCH                     58220 non-null object\n",
      "RANK                       58220 non-null object\n",
      "PAY_GRADE                  58220 non-null object\n",
      "POSITION                   54013 non-null object\n",
      "BIRTH_YEAR                 58220 non-null int64\n",
      "SEX                        58220 non-null object\n",
      "HOME_CITY                  58098 non-null object\n",
      "HOME_COUNTY                58191 non-null object\n",
      "NATIONALITY                58220 non-null object\n",
      "STATE_CODE                 58103 non-null object\n",
      "HOME_STATE                 58103 non-null object\n",
      "MARITAL_STATUS             58220 non-null object\n",
      "RELIGION                   58217 non-null object\n",
      "RELIGION_CODE              58217 non-null object\n",
      "ETHNICITY                  58220 non-null object\n",
      "ETHNICITY_1                58220 non-null object\n",
      "ETHNICITY_2                58220 non-null object\n",
      "DEPLOYMENT_PROVINCE        49211 non-null object\n",
      "DEPLOYMENT_ZONE            49059 non-null object\n",
      "DEPLOYMENT_COUNTRY_CODE    58220 non-null object\n",
      "DEPLOYMENT_COUNTRY         58220 non-null object\n",
      "DIVISION                   41130 non-null object\n",
      "FATALITY_YEAR              58220 non-null int64\n",
      "FATALITY_DATE              58220 non-null int64\n",
      "HOSTILITY_CONDITIONS       58220 non-null object\n",
      "FATALITY                   58220 non-null object\n",
      "FATALITY_2                 58212 non-null object\n",
      "BURIAL_STATUS              58220 non-null object\n",
      "dtypes: int64(3), object(28)\n",
      "memory usage: 13.8+ MB\n"
     ]
    }
   ],
   "source": [
    "#read the data plus dataframe info\n",
    "vietDF = pd.read_csv('VietnamConflict.csv')\n",
    "vietDF.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>SERVICE_TYPE</th>\n",
       "      <th>SERVICE_CODE</th>\n",
       "      <th>ENROLLMENT</th>\n",
       "      <th>BRANCH</th>\n",
       "      <th>RANK</th>\n",
       "      <th>PAY_GRADE</th>\n",
       "      <th>POSITION</th>\n",
       "      <th>BIRTH_YEAR</th>\n",
       "      <th>SEX</th>\n",
       "      <th>HOME_CITY</th>\n",
       "      <th>...</th>\n",
       "      <th>DEPLOYMENT_ZONE</th>\n",
       "      <th>DEPLOYMENT_COUNTRY_CODE</th>\n",
       "      <th>DEPLOYMENT_COUNTRY</th>\n",
       "      <th>DIVISION</th>\n",
       "      <th>FATALITY_YEAR</th>\n",
       "      <th>FATALITY_DATE</th>\n",
       "      <th>HOSTILITY_CONDITIONS</th>\n",
       "      <th>FATALITY</th>\n",
       "      <th>FATALITY_2</th>\n",
       "      <th>BURIAL_STATUS</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Y</td>\n",
       "      <td>S</td>\n",
       "      <td>SELECTED SERVICE</td>\n",
       "      <td>ARMY</td>\n",
       "      <td>SP4</td>\n",
       "      <td>E04</td>\n",
       "      <td>INFANTRYMAN</td>\n",
       "      <td>19450329</td>\n",
       "      <td>M</td>\n",
       "      <td>SISSETON</td>\n",
       "      <td>...</td>\n",
       "      <td>M2</td>\n",
       "      <td>VS</td>\n",
       "      <td>SOUTH VIETNAM</td>\n",
       "      <td>D CO 3 BN 12 INF 4 INF DIV</td>\n",
       "      <td>1968</td>\n",
       "      <td>19680501</td>\n",
       "      <td>H</td>\n",
       "      <td>KILLED IN ACTION</td>\n",
       "      <td>SMALL ARMS FIRE</td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Y</td>\n",
       "      <td>S</td>\n",
       "      <td>SELECTED SERVICE</td>\n",
       "      <td>ARMY</td>\n",
       "      <td>SGT</td>\n",
       "      <td>E05</td>\n",
       "      <td>INFANTRYMAN</td>\n",
       "      <td>19450511</td>\n",
       "      <td>M</td>\n",
       "      <td>HOUSTON</td>\n",
       "      <td>...</td>\n",
       "      <td>M3</td>\n",
       "      <td>VS</td>\n",
       "      <td>SOUTH VIETNAM</td>\n",
       "      <td>1 CAV DIV AIRMOBILE</td>\n",
       "      <td>1970</td>\n",
       "      <td>19700301</td>\n",
       "      <td>H</td>\n",
       "      <td>KILLED IN ACTION</td>\n",
       "      <td>ARTILLERY/MORTAR/ROCKET</td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>R</td>\n",
       "      <td>K</td>\n",
       "      <td>ACTIVE - REGULAR</td>\n",
       "      <td>AIR FORCE</td>\n",
       "      <td>A1C</td>\n",
       "      <td>E03</td>\n",
       "      <td>NaN</td>\n",
       "      <td>19510823</td>\n",
       "      <td>M</td>\n",
       "      <td>MOORHEAD</td>\n",
       "      <td>...</td>\n",
       "      <td>M2</td>\n",
       "      <td>VS</td>\n",
       "      <td>SOUTH VIETNAM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1970</td>\n",
       "      <td>19700801</td>\n",
       "      <td>NH</td>\n",
       "      <td>ACCIDENT</td>\n",
       "      <td>OTHER ACCIDENT</td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Y</td>\n",
       "      <td>S</td>\n",
       "      <td>SELECTED SERVICE</td>\n",
       "      <td>MARINE CORPS</td>\n",
       "      <td>LCPL</td>\n",
       "      <td>E03</td>\n",
       "      <td>RIFLEMAN</td>\n",
       "      <td>19440608</td>\n",
       "      <td>M</td>\n",
       "      <td>KENT</td>\n",
       "      <td>...</td>\n",
       "      <td>M1</td>\n",
       "      <td>VS</td>\n",
       "      <td>SOUTH VIETNAM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1966</td>\n",
       "      <td>19661201</td>\n",
       "      <td>H</td>\n",
       "      <td>DIED OF WOUNDS</td>\n",
       "      <td>EXPLOSIVE DEVICE</td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Y</td>\n",
       "      <td>S</td>\n",
       "      <td>SELECTED SERVICE</td>\n",
       "      <td>ARMY</td>\n",
       "      <td>SP4</td>\n",
       "      <td>E04</td>\n",
       "      <td>INFANTRYMAN</td>\n",
       "      <td>19481212</td>\n",
       "      <td>M</td>\n",
       "      <td>FORGE VILLAGE</td>\n",
       "      <td>...</td>\n",
       "      <td>M2</td>\n",
       "      <td>VS</td>\n",
       "      <td>SOUTH VIETNAM</td>\n",
       "      <td>1 FIELD FORCE</td>\n",
       "      <td>1970</td>\n",
       "      <td>19700501</td>\n",
       "      <td>H</td>\n",
       "      <td>KILLED IN ACTION</td>\n",
       "      <td>GRENADE</td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 31 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "  SERVICE_TYPE SERVICE_CODE        ENROLLMENT        BRANCH  RANK PAY_GRADE  \\\n",
       "0            Y            S  SELECTED SERVICE          ARMY   SP4       E04   \n",
       "1            Y            S  SELECTED SERVICE          ARMY   SGT       E05   \n",
       "2            R            K  ACTIVE - REGULAR     AIR FORCE   A1C       E03   \n",
       "3            Y            S  SELECTED SERVICE  MARINE CORPS  LCPL       E03   \n",
       "4            Y            S  SELECTED SERVICE          ARMY   SP4       E04   \n",
       "\n",
       "      POSITION  BIRTH_YEAR SEX      HOME_CITY      ...      DEPLOYMENT_ZONE  \\\n",
       "0  INFANTRYMAN    19450329   M       SISSETON      ...                   M2   \n",
       "1  INFANTRYMAN    19450511   M        HOUSTON      ...                   M3   \n",
       "2          NaN    19510823   M       MOORHEAD      ...                   M2   \n",
       "3     RIFLEMAN    19440608   M           KENT      ...                   M1   \n",
       "4  INFANTRYMAN    19481212   M  FORGE VILLAGE      ...                   M2   \n",
       "\n",
       "  DEPLOYMENT_COUNTRY_CODE DEPLOYMENT_COUNTRY                    DIVISION  \\\n",
       "0                      VS      SOUTH VIETNAM  D CO 3 BN 12 INF 4 INF DIV   \n",
       "1                      VS      SOUTH VIETNAM         1 CAV DIV AIRMOBILE   \n",
       "2                      VS      SOUTH VIETNAM                         NaN   \n",
       "3                      VS      SOUTH VIETNAM                         NaN   \n",
       "4                      VS      SOUTH VIETNAM               1 FIELD FORCE   \n",
       "\n",
       "  FATALITY_YEAR FATALITY_DATE HOSTILITY_CONDITIONS          FATALITY  \\\n",
       "0          1968      19680501                    H  KILLED IN ACTION   \n",
       "1          1970      19700301                    H  KILLED IN ACTION   \n",
       "2          1970      19700801                   NH          ACCIDENT   \n",
       "3          1966      19661201                    H    DIED OF WOUNDS   \n",
       "4          1970      19700501                    H  KILLED IN ACTION   \n",
       "\n",
       "                FATALITY_2 BURIAL_STATUS  \n",
       "0          SMALL ARMS FIRE             Y  \n",
       "1  ARTILLERY/MORTAR/ROCKET             Y  \n",
       "2           OTHER ACCIDENT             Y  \n",
       "3         EXPLOSIVE DEVICE             Y  \n",
       "4                  GRENADE             Y  \n",
       "\n",
       "[5 rows x 31 columns]"
      ]
     },
     "execution_count": 115,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#simple head\n",
    "vietDF.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#drop fatality_date for not be consider on the displot\n",
    "vietDF.drop('FATALITY_DATE',axis=1,inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#reduce the birth only to year of birth\n",
    "vietDF['BIRTH_YEAR'] = vietDF['BIRTH_YEAR'].apply(lambda x : int(str(x)[:4]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 148,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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+SXGv588DbwS2Dvtsl2Zmfwuf0d+XY6P8nD+bmX+NJEkHkCFXklQH/Zm5aIzX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\nSVJt/H9ud/OGsMrK5QAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fd5dd46a940>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "dp = sns.distplot(vietDF['FATALITY_YEAR'], kde=False,color='red', axlabel='FATALITYS BY YEAR', bins=50)\n",
    "axes = dp.axes\n",
    "axes.set_xlim(1955,1985)\n",
    "dp.figure.set_figwidth(16)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x7fd5e02393c8>"
      ]
     },
     "execution_count": 119,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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KR3ZEoRnDP/JdxBYm8ZYXCPt2UR/cS2phEv/gPbjyEq5cxKRzmHQ/YDCjh6BUgEyORm4P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\njtQrg4NqHWQvWGFI5fBLi6hsAYb1JViVoFK5rW0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6SF8wMApH0fUSKjGCSqTR5WXME8+i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\nLERIkiRJkqTK/D+fSFc/wgaffAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fd5e05cb438>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "_ = sns.pairplot(vietDF,hue='BRANCH',palette='coolwarm')\n",
    "_.fig.set_figwidth(16)\n",
    "_.fig.set_figheight(8)\n",
    "_.fig.suptitle('BIRTH x DEATH',size=18)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fd5dfd31b00>"
      ]
     },
     "execution_count": 120,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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cWuvOBqZExEbAjpk5t+MYkiRJkrTOdS0wZeajNQC1m5CZS+r384FtgK2BvrY6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\ngUmSJEmSGhiYJEmSJKmBgUmSJEmSGvx/bcQeSFbJswsAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fd5dfc3e630>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pal = sns.light_palette(\"purple\",reverse=True)\n",
    "fig, ax = plt.subplots(figsize=(14, 6))\n",
    "ax.set_title('Death by Branch',size=18)\n",
    "sns.countplot(x='BRANCH', data=vietDF, palette='coolwarm')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fd5dfe061d0>"
      ]
     },
     "execution_count": 121,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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auPD+8au1poXBwXv7XQVNI55vkiRNDW1fYk56l7yI+Evgvk7QiYjTI+Jp9e55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\nAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fd5e0adde48>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Select only rows with the five large quantities of positions\n",
    "five = vietDF['POSITION'][vietDF['POSITION'].notnull()].value_counts()[:5]\n",
    "count = vietDF[vietDF['POSITION'].apply(lambda x : x in list(five.index))]\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(14, 6))\n",
    "ax.set_title('Death by Position (top five) ',size=18)\n",
    "sns.countplot(x='POSITION',data=count,palette='rainbow')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fd5dfafe160>"
      ]
     },
     "execution_count": 122,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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pIiISQUEpIiISQUEpIiISIZHNZvu7BhERkQFLI0oREZEICkoREZEICkoREZEI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\nExIU7AAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fd5dfba10f0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#honorable mention for the 8 women deaths\n",
    "women = vietDF[vietDF['SEX'] == 'F']\n",
    "sns.stripplot(x='FATALITY_YEAR', y='FATALITY', data=women,size=20, \n",
    "              palette=sns.light_palette(color='blue', reverse=True))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Create age feature by death - birth\n",
    "vietDF['AGENT_AGE'] = vietDF['FATALITY_YEAR'] - vietDF['BIRTH_YEAR']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 145,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x7fd5dd9e5898>"
      ]
     },
     "execution_count": 145,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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W8YCTN/y9ddDsNotVqQ6axapaAyPkVrUOmsWqWgcLgO+U672tzKlSDbSKV7UO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\nV5IkSZLUl2x4JUmSJEl96f8D4cozg+FoTlcAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fd5ddc23cf8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Deaths by ages\n",
    "count_age = vietDF.groupby('AGENT_AGE')['SEX'].count()\n",
    "_ = sns.barplot(x=count_age.index, y=count_age,palette='cubehelix')\n",
    "_.figure.set_figwidth(16)\n",
    "_.set_ylabel('DEATH_COUNT')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 186,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x7fd5dcc6c6a0>"
      ]
     },
     "execution_count": 186,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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+Wh+/LCLGZ+aj9flbgbtrmxOAM4AdMvOaiBiorzsU+PRoatGmW12Hau8h4HXA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\nJElqrP8P/mN3scMPSwgAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fd5dce0ea58>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "kia_t4 = vietDF['FATALITY_2'][vietDF['FATALITY'] == 'KILLED IN ACTION'].value_counts()[:4]\n",
    "_ = sns.barplot(x=kia_t4, y=kia_t4.index,palette=sns.light_palette('red',reverse=True))\n",
    "_.figure.set_figwidth(12)\n",
    "_.figure.suptitle('Killed in action fatalitys top 4', size=16)\n",
    "_.set_xlabel('DEATH_COUNT')"
   ]
  }
 ],
 "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": "3.6.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}