Exercise-3-video-games.ipynb

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   "source": [
    "%matplotlib inline\n",
    "from collections import Counter\n",
    "\n",
    "import pandas as pd"
   ]
  },
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   "cell_type": "code",
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   "source": [
    "from IPython.core.display import HTML\n",
    "css = open('table.css').read() + open('notebook.css').read()\n",
    "HTML('<style>{}</style>'.format(css))"
   ]
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   "cell_type": "code",
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   "source": [
    "video_games = pd.read_json(\"videogames.json\")\n",
    "video_games.head(5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### How many video games are there?"
   ]
  },
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   "source": [
    "#### Which 5 brand have more video games?"
   ]
  },
  {
   "cell_type": "code",
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   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
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   "source": [
    "#### Is there a video game that has no title? If there is, count of untitled video games"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
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   "source": [
    "#### Remove video games which has no title?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
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   "source": []
  },
  {
   "cell_type": "markdown",
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   "source": [
    "#### How many categories are there in video_games dataframe?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Find the number of video games by per category"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Which is the most expensive video game?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Which is the cheapest video game?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
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   "source": [
    "#### Find all games which has \"Age Of\" in titles (case insensitive way)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
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  },
  {
   "cell_type": "markdown",
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   "source": [
    "#### Calculate the averate price"
   ]
  },
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  },
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   "source": [
    "#### All prices are given in dollar and convert it to euro ( let's say 1 dollar is 0.85 euro)"
   ]
  },
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