From d60643e61a0b24de2bf7c7744e8831ee696b9f23 Mon Sep 17 00:00:00 2001
From: benjas <909336740@qq.com>
Date: Tue, 22 Dec 2020 20:46:43 +0800
Subject: [PATCH] =?UTF-8?q?Add=20=E5=8D=95=E5=8F=98=E9=87=8F=E7=BB=98?=
 =?UTF-8?q?=E5=9B=BE=E5=88=86=E6=9E=90?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

---
 ...�筑能源利用率预测-checkpoint.ipynb |  64 ++++++-
 .../建筑能源利用率预测.ipynb         | 163 +++++++++++++++++-
 2 files changed, 211 insertions(+), 16 deletions(-)

diff --git a/机器学习竞赛实战_优胜解决方案/建筑能源利用率预测/.ipynb_checkpoints/建筑能源利用率预测-checkpoint.ipynb b/机器学习竞赛实战_优胜解决方案/建筑能源利用率预测/.ipynb_checkpoints/建筑能源利用率预测-checkpoint.ipynb
index 4194fc4..8e72fbf 100644
--- a/机器学习竞赛实战_优胜解决方案/建筑能源利用率预测/.ipynb_checkpoints/建筑能源利用率预测-checkpoint.ipynb
+++ b/机器学习竞赛实战_优胜解决方案/建筑能源利用率预测/.ipynb_checkpoints/建筑能源利用率预测-checkpoint.ipynb
@@ -830,7 +830,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -847,7 +847,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
@@ -1467,7 +1467,7 @@
        "max    155101.000000  "
       ]
      },
-     "execution_count": 6,
+     "execution_count": 5,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1487,7 +1487,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1523,7 +1523,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
@@ -1892,7 +1892,7 @@
        "Largest Property Use Type - Gross Floor Area (ft²)                0.0  "
       ]
      },
-     "execution_count": 8,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1903,7 +1903,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
@@ -1925,7 +1925,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1933,6 +1933,54 @@
     "data = data.drop(columns = list(missing_columns))"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Exploratory Data Analysis\n",
+    "利用画图来理解数据\n",
+    "\n",
+    "### 单变量绘图"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 576x576 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "figsize(8,8)\n",
+    "\n",
+    "# Rename the score\n",
+    "data = data.rename(columns = {'ENERGY STAR Score':'score'})\n",
+    "\n",
+    "# Histogram of the Energy Star Score\n",
+    "plt.style.use('fivethirtyeight')\n",
+    "plt.hist(data['score'].dropna(),bins = 100,edgecolor = 'k')\n",
+    "plt.xlabel('Score')\n",
+    "plt.ylabel('Number of Buildings')\n",
+    "plt.title('Energy Star Score Distribution')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "发现得分1和100的个数比较高，由PDF可以看出，这些是由每个建筑的个人提交各个利用率的分值，过高和过低都有问题。\n",
+    "能源使用强度（EUI），它是总能源使用量除以建筑物的面积（平方英尺）。这个能源使用量不是自我报告的，因此更客观地衡量建筑物的能源效率。"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
diff --git a/机器学习竞赛实战_优胜解决方案/建筑能源利用率预测/建筑能源利用率预测.ipynb b/机器学习竞赛实战_优胜解决方案/建筑能源利用率预测/建筑能源利用率预测.ipynb
index 4194fc4..4c18119 100644
--- a/机器学习竞赛实战_优胜解决方案/建筑能源利用率预测/建筑能源利用率预测.ipynb
+++ b/机器学习竞赛实战_优胜解决方案/建筑能源利用率预测/建筑能源利用率预测.ipynb
@@ -830,7 +830,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -847,7 +847,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
@@ -1467,7 +1467,7 @@
        "max    155101.000000  "
       ]
      },
-     "execution_count": 6,
+     "execution_count": 5,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1487,7 +1487,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1523,7 +1523,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
@@ -1892,7 +1892,7 @@
        "Largest Property Use Type - Gross Floor Area (ft²)                0.0  "
       ]
      },
-     "execution_count": 8,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1903,7 +1903,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
@@ -1925,7 +1925,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1933,6 +1933,153 @@
     "data = data.drop(columns = list(missing_columns))"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Exploratory Data Analysis\n",
+    "利用画图来理解数据\n",
+    "\n",
+    "### 单变量绘图"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 576x576 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "figsize(8,8)\n",
+    "\n",
+    "# Rename the score\n",
+    "data = data.rename(columns = {'ENERGY STAR Score':'score'})\n",
+    "\n",
+    "# Histogram of the Energy Star Score\n",
+    "plt.style.use('fivethirtyeight')\n",
+    "plt.hist(data['score'].dropna(),bins = 100,edgecolor = 'k')\n",
+    "plt.xlabel('Score')\n",
+    "plt.ylabel('Number of Buildings')\n",
+    "plt.title('Energy Star Score Distribution')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "发现得分1和100的个数比较高，由PDF可以看出，这些是由每个建筑的个人提交各个利用率的分值，过高和过低都有问题，而分值是标签，我们不能人为的改变标签。\n",
+    "\n",
+    "能源使用强度（EUI），它是总能源使用量除以建筑物的面积（平方英尺）。这个能源使用量不是自我报告的，因此更客观地衡量建筑物的能源效率。"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 576x576 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Histogram Plot of Site EUI\n",
+    "\n",
+    "figsize(8, 8)\n",
+    "plt.hist(data['Site EUI (kBtu/ft²)'].dropna(), bins = 20, edgecolor = 'black');\n",
+    "plt.xlabel('Site EUI'); \n",
+    "plt.ylabel('Count'); \n",
+    "plt.title('Site EUI Distribution');"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "可以看出所有值都是偏小的，说明有一个或极少个非常大的极值。"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "count     11583.000000\n",
+       "mean        280.071484\n",
+       "std        8607.178877\n",
+       "min           0.000000\n",
+       "25%          61.800000\n",
+       "50%          78.500000\n",
+       "75%          97.600000\n",
+       "max      869265.000000\n",
+       "Name: Site EUI (kBtu/ft²), dtype: float64"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "data['Site EUI (kBtu/ft²)'].describe()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "3173     51328.8\n",
+       "3170     51831.2\n",
+       "3383     78360.1\n",
+       "8269     84969.6\n",
+       "3263     95560.2\n",
+       "8268    103562.7\n",
+       "8174    112173.6\n",
+       "3898    126307.4\n",
+       "7       143974.4\n",
+       "8068    869265.0\n",
+       "Name: Site EUI (kBtu/ft²), dtype: float64"
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "data['Site EUI (kBtu/ft²)'].dropna().sort_values().tail(10)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "其中一栋建筑的得分远远高于其他建筑。"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,