mlessentials/Lab10/Exercise10.04/Exercise10_04.ipynb

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   "source": [
    "import pandas as pd\n",
    "import altair as alt"
   ]
  },
  {
   "cell_type": "code",
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    "colab": {},
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   "source": [
    "file_url = '../dataset/ames_iowa_housing.csv'"
   ]
  },
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   "cell_type": "code",
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   "source": [
    "df = pd.read_csv(file_url)"
   ]
  },
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   "cell_type": "code",
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   "outputs": [],
   "source": [
    "alt.Chart(df).mark_bar().encode(\n",
    "    alt.X(\"SalePrice:Q\", bin=alt.Bin(step=50000)), \n",
    "    y='count()'\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
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   },
   "outputs": [],
   "source": [
    "alt.Chart(df).mark_bar().encode(\n",
    "    alt.X(\"LotArea:Q\", bin=alt.Bin(step=10000)), \n",
    "    y='count()'\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
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   "outputs": [],
   "source": [
    "alt.Chart(df).mark_circle().encode(\n",
    "    x='LotArea:Q',\n",
    "    y='SalePrice:Q'\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
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   },
   "outputs": [],
   "source": [
    "alt.Chart(df).mark_bar().encode(\n",
    "    alt.X(\"OverallCond\", bin=True), \n",
    "    y='count()'\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
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   "outputs": [],
   "source": [
    "alt.Chart(df).mark_boxplot().encode(\n",
    "    x='OverallCond:O',\n",
    "    y='SalePrice:Q'\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
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   },
   "outputs": [],
   "source": [
    "alt.Chart(df).mark_bar().encode(\n",
    "    alt.X('YrSold:O'),\n",
    "    y='count()'\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
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   "outputs": [],
   "source": [
    "alt.Chart(df).mark_boxplot().encode(\n",
    "    x='YrSold:O',\n",
    "    y='SalePrice:Q'\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
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    "outputId": "dc698d30-6b69-404c-e268-e09f9be505f2"
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   "outputs": [],
   "source": [
    "alt.Chart(df).mark_bar().encode(\n",
    "    x='Neighborhood',\n",
    "    y='count()'\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
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    },
    "colab_type": "code",
    "id": "VP1dedrbKJ3Z",
    "outputId": "3a9b8cfa-0805-42c6-b672-4aa0d3e11b2a"
   },
   "outputs": [],
   "source": [
    "alt.Chart(df).mark_boxplot().encode(\n",
    "    x='Neighborhood:O',\n",
    "    y='SalePrice:Q'\n",
    ")"
   ]
  }
 ],
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