03 Titanic.ipynb

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  {
   "cell_type": "markdown",
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   "source": [
    "# 03 Titanic\n",
    "\n",
    "![Titanic](https://pmcvariety.files.wordpress.com/2017/04/titanic.jpg?w=1000&h=563&crop=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
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   "source": [
    "## Tab separated values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
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    "slideshow": {
     "slide_type": "-"
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   "outputs": [],
   "source": [
    "titanic = pd.read_csv(\"https://raw.githubusercontent.com/adaapp/dav-introductionToPandas/master/titanic.txt\", sep='\\t')\n",
    "titanic.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
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   },
   "source": [
    "## Setting ordinal categories"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
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   "outputs": [],
   "source": [
    "titanic.Class = pd.Categorical(titanic.Class, categories=[\"Crew\",\"3\",\"2\",\"1\"])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## Seaborn's catplot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "scrolled": false,
    "slideshow": {
     "slide_type": "-"
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   },
   "outputs": [],
   "source": [
    "sns.catplot(data=titanic, x=\"Sex\", hue=\"Class\", kind='count', col=\"Survived\");"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from scipy import stats"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## A non-parametric test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [],
   "source": [
    "stats.mannwhitneyu(titanic.loc[titanic.Survived == \"Alive\"].Paid.dropna(),\n",
    "                  titanic.loc[titanic.Survived == \"Dead\"].Paid.dropna(), alternative='greater')"
   ]
  }
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