demos/Production Coverage Übung.ipynb

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   "source": [
    "## Kurze Anleitung\n",
    "- Klickt nacheinander in die grauen Zellen und führt diese mit `Ctrl`+ `Enter` oder durch den Klick auf den Pfeil neben der Zelle aus.\n",
    "- Beschreibt über jeder grauen Zelle, was passiert (klickt jeweils auf den Text \"Was passiert hier?\" doppelt, um den Text zu editieren. Führt die Textzellen ebenalls mit `Ctrl`+ `Enter` aus, um den Text zu rendern."
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   "source": [
    "# Production Coverage Exercise\n",
    "(+ eine Priese Softwarearchäologie)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<hr>"
   ]
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  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Was passiert hier?\n",
    "\n",
    "- ..."
   ]
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   "cell_type": "code",
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   "source": [
    "%cat dataset/jacoco.csv"
   ]
  },
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   "source": [
    "\n",
    "<hr/>\n"
   ]
  },
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   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Was passiert hier?\n",
    "\n",
    "- ..."
   ]
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   "source": [
    "import pandas as pd\n",
    "\n",
    "coverage = pd.read_csv(\"dataset/jacoco.csv\")[['PACKAGE', 'CLASS', 'LINE_COVERED', 'LINE_MISSED']]\n",
    "coverage.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<hr>"
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   "source": [
    "Was passiert hier?\n",
    "\n",
    "- ..."
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    "coverage['lines'] = coverage['LINE_COVERED'] + coverage['LINE_MISSED']\n",
    "coverage['ratio'] = coverage['LINE_COVERED'] / coverage['lines']\n",
    "coverage.head()"
   ]
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   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<hr>"
   ]
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   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Was passiert hier?\n",
    "\n",
    "- ..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
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   "source": [
    "coverage.groupby(\"PACKAGE\").mean()['ratio'].plot(kind='barh')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<hr>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Schlussbemerkung"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "Was passiert hier insgesamt? Was sagt euch das Ergebnis?\n",
    "\n",
    "- ..."
   ]
  }
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