diff --git a/.DS_Store b/.DS_Store
new file mode 100644
index 0000000..5008ddf
Binary files /dev/null and b/.DS_Store differ
diff --git a/.ipynb_checkpoints/Consumer Complaint Analysis-checkpoint.ipynb b/.ipynb_checkpoints/Consumer Complaint Analysis-checkpoint.ipynb
new file mode 100644
index 0000000..0ffcbe7
--- /dev/null
+++ b/.ipynb_checkpoints/Consumer Complaint Analysis-checkpoint.ipynb	
@@ -0,0 +1,661 @@
+{
+ "metadata": {
+  "name": "",
+  "signature": "sha256:d2bae5a2874cdd8aaaa34714b71b9b8248c706e230d567ec4aa620cdf5483cca"
+ },
+ "nbformat": 3,
+ "nbformat_minor": 0,
+ "worksheets": [
+  {
+   "cells": [
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "import pandas as pd\n",
+      "import numpy as np\n",
+      "import matplotlib.pyplot as plt\n",
+      "import seaborn as sns\n"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 1
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "%matplotlib inline"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 2
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "complaints = pd.read_csv(\"complaints_dec_2014.csv\")\n"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 3
+    },
+    {
+     "cell_type": "heading",
+     "level": 1,
+     "metadata": {},
+     "source": [
+      "Complaints by Product"
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "complaints_by_product = complaints.Product.value_counts()"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 4
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "complaints_by_product"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 5,
+       "text": [
+        "Mortgage                   3002\n",
+        "Debt collection            2942\n",
+        "Credit reporting           2113\n",
+        "Bank account or service    1136\n",
+        "Credit card                1100\n",
+        "Consumer loan               578\n",
+        "Student loan                340\n",
+        "Payday loan                 141\n",
+        "Money transfers             107\n",
+        "Prepaid card                 70\n",
+        "Other financial service      14\n",
+        "dtype: int64"
+       ]
+      }
+     ],
+     "prompt_number": 5
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "plt.figure(figsize=(9,9))\n",
+      "plt.title('Complaints by Product Type')\n",
+      "complaints_by_product.plot(kind='bar', color='#d62e2e')\n"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 6,
+       "text": [
+        "<matplotlib.axes._subplots.AxesSubplot at 0x10d3ec668>"
+       ]
+      },
+      {
+       "metadata": {},
+       "output_type": "display_data",
+       "png": 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Cq4BDM/PsiNgMOA1YCCwD9srM26fklUiSpFYZM4QArwOWZuaeETEfuBr4V+DTmXlk56SI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\n",
+       "text": [
+        "<matplotlib.figure.Figure at 0x10d3ecac8>"
+       ]
+      }
+     ],
+     "prompt_number": 6
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "complaints_by_company = complaints.Company.value_counts()"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 7
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "complaints_by_company[:10]"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 8,
+       "text": [
+        "Bank of America        766\n",
+        "Equifax                737\n",
+        "Experian               675\n",
+        "TransUnion             604\n",
+        "Wells Fargo            598\n",
+        "JPMorgan Chase         545\n",
+        "Ocwen                  408\n",
+        "Citibank               403\n",
+        "Nationstar Mortgage    357\n",
+        "Capital One            252\n",
+        "dtype: int64"
+       ]
+      }
+     ],
+     "prompt_number": 8
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "plt.figure(figsize=(9,9))\n",
+      "plt.title('Top Ten Worst Companies')\n",
+      "complaints_by_company[:10].plot(kind='bar', color='#d62e2e')\n",
+      "\n"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 9,
+       "text": [
+        "<matplotlib.axes._subplots.AxesSubplot at 0x10d5a6c88>"
+       ]
+      },
+      {
+       "metadata": {},
+       "output_type": "display_data",
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x54Lt6O855kLttlx++aV9jz3p19Xj44zO07EnK1Ysrf63Mhdsx/xiO/p/nqlsNmxk5qkR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\n1CnLhiRJ6pRlQ5IkdcqyIUmSOvUAB+Xm+6YjvO0AAAAASUVORK5CYII=\n",
+       "text": [
+        "<matplotlib.figure.Figure at 0x10d5ac550>"
+       ]
+      }
+     ],
+     "prompt_number": 9
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "complaints_by_response = complaints[\"Company response\"].value_counts()"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 10
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "complaints_by_response\n"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 11,
+       "text": [
+        "Closed with explanation            8185\n",
+        "Closed with non-monetary relief    1253\n",
+        "In progress                        1056\n",
+        "Closed with monetary relief         643\n",
+        "Closed                              239\n",
+        "Untimely response                   167\n",
+        "dtype: int64"
+       ]
+      }
+     ],
+     "prompt_number": 11
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "plt.figure(figsize=(9,9))\n",
+      "plt.title('Complaints by Product Type')\n",
+      "complaints_by_response.plot(kind='bar', color='#d62e2e')\n",
+      "\n",
+      "\n"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 12,
+       "text": [
+        "<matplotlib.axes._subplots.AxesSubplot at 0x10d4c6320>"
+       ]
+      },
+      {
+       "metadata": {},
+       "output_type": "display_data",
+       "png": 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NrXnzZtPf3zf+hj1qaz72brMvu8v+7C77s3va3pebDSHAfMollDdFxPDYkLOB\ni5uBp7cAi5rZMRcDSylnV+Zn5pqIuAS4LCKWAmuAE8craHDwngkeytgGBlZ3dX9TaWBgNStWrKpd\nRhX9/X1b7bF3m33ZXfZnd9mf3dOWvtxcUBpvTMjZlNAx2mFjbLsAWDCq7V7g+E6KlCRJWxcXK5Mk\nSVUYQiRJUhWGEEmSVIUhRJIkVWEIkSRJVRhCJElSFYYQSZJUhSFEkiRVYQiRJElVGEIkSVIVhhBJ\nklSFIUSSJFVhCJEkSVUYQiRJUhWGEEmSVIUhRJIkVWEIkSRJVRhCJElSFYYQSZJUhSFEkiRVYQiR\nJElVGEIkSVIVhhBJklSFIUSSJFVhCJEkSVUYQiRJUhWGEEmSVIUhRJIkVWEIkSRJVRhCJElSFYYQ\nSZJUhSFEkiRVYQiRJElVGEIkSVIVhhBJklSFIUSSJFVhCJEkSVXMqF2A2mXt2rUsX35n1/c7ODib\ngYHVXdvfbrs9npkzZ3Ztf5Kk7jOE6GFZvvxObjrxBeza5T/wg13c10/XroUPL2KPPfbs4l4lSd1m\nCNHDtuvMmew+a1btMiRJLeeYEEmSVIUhRJIkVWEIkSRJVRhCJElSFYYQSZJUhSFEkiRVYQiRJElV\nGEIkSVIVHS1WFhHPAC7MzMMj4g+AhcB64GbgzMwciojTgNOBdcB5mXllRGwPXAH0A6uAkzPzrik4\nDql12rIEPrgMvqSpMW4IiYjXAS8Ghn+rvROYn5lLIuIS4LiIuBY4C3g6sD3w1Yj4InAGcGNmvjUi\nTgDOBf52Co5Dap02LIEPLoMvaep0cibkVuDPgf9oHu+XmUuar68CjgQeAJZl5v3A/RFxK7AvcDDw\n9mbbxcDfd6twqRe4BL6krdm4Y0Iy85OUSyzDpo34ehWwIzAH+M0m2leOapMkSZrQDezWj/h6DnA3\nJWj0jWjvG6N9uG2z5s7dgRkzpk+grLENDs7u+unpqTJv3mz6+/vG37CitvSnfdldbejPqbQ1H/tU\nsD+7p+19OZEQ8p2IODQzrwGOBq4GrgPOj4hZwHbA3pRBq8uAY4Drm22XjL3LDQYH75lASZvW7QF6\nU2lgYDUrVqyqXcZmtaU/7cvuakN/TpX+/r6t9tingv3ZPW3py80FpYczRXeo+e9rgLdExNcoIWZR\nZv4KuBhYSgkl8zNzDXAJ8MSIWAqcCrzl4ZcvSZJ6UUdnQjLzDuCg5usfAYeNsc0CYMGotnuB4ydb\npCRJ6j2ca4FXAAAgAElEQVQuViZJkqowhEiSpCoMIZIkqQpDiCRJqsIQIkmSqjCESJKkKgwhkiSp\nCkOIJEmqwhAiSZKqMIRIkqQqDCGSJKkKQ4gkSarCECJJkqowhEiSpCoMIZIkqYoZtQuQpG5Yu3Yt\ny5ff2fX9Dg7OZmBgdVf3udtuj2fmzJld3afURoYQST1h+fI7uenEF7Brl/+4D3Z1b/DTtWvhw4vY\nY489u7xnqX0MIZJ6xq4zZ7L7rFm1y5DUIceESJKkKgwhkiSpCkOIJEmqwhAiSZKqMIRIkqQqDCGS\nJKkKQ4gkSarCECJJkqowhEiSpCoMIZIkqQpDiCRJqsIQIkmSqjCESJKkKgwhkiSpCkOIJEmqwhAi\nSZKqMIRIkqQqDCGSJKkKQ4gkSarCECJJkqqYUbsASdKWZ+3atSxffmfX9zs4OJuBgdVd3eduuz2e\nmTNndnWfemQYQiRJD7F8+Z3cdOIL2LXLf9wHu7o3+OnatfDhReyxx55d3rMeCYYQSdKYdp05k91n\nzapdhnqYY0IkSVIVngmRJGkKOb5m0wwhkiRNIcfXbJohRJKkKeb4mrE5JkSSJFVhCJEkSVUYQiRJ\nUhVTPiYkIrYB3gvsC6wBTs3M26b6dSVJ0pbtkTgT8mfAzMw8CHgDcNEj8JqSJGkL90iEkIOBxQCZ\n+Q1g/0fgNSVJ0hbukZiiOwdYOeLxAxGxTWauH2vjpz/9SWPu5FvfunnM9k62/+natQ9+/dLbxr4S\ntHCPPcZsf6S2fwDY9vnPY9tttwUmd7xTvf2W3p+j+xK23P4c2Zdgf052e/vT/oQtrz8/9rFPPaQv\nYcvrz5fcdttD+hK61z9jmTY0NNTxxhMRERcB12bmx5vHyzNztyl9UUmStMV7JC7HLAOOAYiIA4Hv\nPgKvKUmStnCPxOWYTwF/HBHLmsenPAKvKUmStnBTfjlGkiRpLC5WJkmSqjCESJKkKgwhkiSpCkOI\nJEmq4pGYHdMTImIOcDSwXdM0lJmXVyyplSLilZn5rxFxYGZeW7ueXhERTwEeBawH3ga8LTO/VLeq\ndomIQzJzSURsl5n31a6n7SLiHzbx1FBmvvURLaaHNH+LXgfsAnwWuCkzb61b1cQZQjr3GeBnwPLa\nhbTcqyLiDuD8iHgtMK1pH8rML1Srqv3+DTgTeCtwDvBPgCHk4fmXiDgIuDIijhz5RGY+dLlLjed7\nzX9PAm4ClgDPBPapVlFv+CBwFXAY8Ovm8SE1C5oMQ0jnpmXmi2sX0QNeD/w58LvAC0c9ZwiZuPuA\nW4BtM/PrEbGudkEttJiymOIuQI5oHwJ+v0pFLZaZiwAi4vTMPKdp/nxEGI4nZ6fM/EBEvLg5czdt\n/G/ZchlCOvfdZsXX71B+KfnpaAIy81PApyLi2Mz8bETsBAxkpgvWTM4QcDnw3xFxPHB/5XpaJzNf\nD7w+It7k5YKu+p2I2DMzfxQRTwRm1y6o5YYi4gkAEbEr0OoPHIaQzh0GHDvisZ+OJmdlRNwMTAc+\nFhE/ycwP1C6qxU4ADmDDadq/qlpNu30wIq6gnK37T+B7zR3ANTF/CyyKiJ0pl7RPrVxP250NLAT2\nBj4BnFG1mkkyhHQoM/cFiIjfBX6dmQ9ULqntzgMOBRYBFwFfAQwhEzcLuBPYC3gJMAgMVK2ovd5H\neU/+PXAd5X35jKoVtVhmfi0iDgF2B27LzNWVS2q1zLwJOBAgIh6XmT+pXNKkOEW3QxFxeETcThm3\ncNvogWt62NZn5q8BMnMlsLJyPW33Ycon97cBXwTeVbecVts+M6+mDJa+Gbi3dkFtFhEvoHzIuAJ4\ndUScW7eidouI10XE6RHxOmBxRLT6Z90Q0rnzgGdl5lOBg5vHmrhbI+JCYKeIeCPlU7wmbj2wFNgx\nMz/SPNbE3BsRzwWmR8QzKYN+NXGvpsyKuYsSkv+8bjmt9xeUyzFHA08Enlq1mkkyhHRuXWb+HCAz\nf4afjibrZZTgsRRYDZxWt5zW2xZ4O7AkIg4HZlaup81eRrnb96OB/0vLr7lvAR4YXnclM9dRft41\nceuAnYFfNgP6t69cz6Q4JqRzqyLiLMpc90PwevuERMQBmXk98EfA7c0/KIMpnaI7cacAR1DGLxwH\nnFy3nPaJiG0z837gV5S1LYY5c2tyvhoRHwEeGxGXAtfXLqjlvgJcA7youRRzZd1yJscQ0rkXA+cC\n5wPfB/66bjmt9RzKL6EX8tBf7oaQibsdWEtZqOxqHGMzEZdT3pc/5KHvzf/zyJfTGzLzjRFxNGV5\ng+9n5mdr19RmzZor5wBExDfbvlTEtKEhQ/7mRMRumbk8ImLUU0OZ+cMqRbVYRMyi/IJ/yAI7mbnm\nka+oN0TEByjTH48ELgROz8xj6lYlPbiWxY6UywivBy7OzBvqVtVezaSIv2PjW4g8p2JJk+KZkPG9\nmvI//FI2/nQ0RPlUr4fnB5tod92VydkjM/8mIp6dmZ9ulsTXwxARX9/EU0OZedAjWkxv+TDwD8Ar\nKVPy/x/l8qsm5l2UtUJ+WruQbjCEjCMz/6758qKRpxEj4oRKJbVaZm50WtsVU7tmekQ8GiAi+nB2\nzESMvI3AyPdjq5fF3gIMz9w6JzM/EhEuVjY5d/bSzSkNIeOIiOdRpuS+sJmuN40yq+g44KM1a2uz\niDgUeA+umNot5wLLgN8DvkH5pKSHITPvgAcvH1xIWXflo8DNwB3VCms/Z2511/9GxL8BN1DC8lBm\nvq9yTRPmFN3x3Ui5mdV9zX+T8kvJZbEnZ3jF1F9SVqc8s245rbcb8ATgD4AnZeYXK9fTZu8D/p3y\nx/IbwMV1y2m9U4DbKEGkH2duTdYdwC+Ax1Cm6v5e1WomyRAyjsxcnpkLgX0y87LMXJiZ/0GZxqeJ\nc8XU7jo9M4cy838z00sxk+OKqd11O+UM8rsofzB7YixDLZn5ZuCblPfljZn5lroVTY6XYzr3loh4\nOeUeHTtQ3gQH1i2p1VwxtbtmRcQNlDN16yl/QE+sXFNbuWJqd70PuJsyBf8wYAEbr8Oih6H5vbkn\nZZzNSc1g9NdULmvCDCGd+1PKKe93Nv/eULec1jsD+Bvgq7hiaje8rnYBPeRlwD8DO+GKqd2wZ2Y+\nu/n605uZhaTOHDI8Wysi3k25ZNhahpDO/SIz74uIOZl5a0Q8vnZBLfe5zPQmgN1zGBuvv3J/ROwG\nfLRZBVSd+7vMdPZb98yKiEdl5m8jYgccBjBZMyJienMn921o+Uw4Q0jnfhoRfwOsbk6H9dcuqOUG\nI+I4Nlw+wMXfJmVfyjXipZSbhe0G/Bw4CnhJxbraaJ+ImJuZg7UL6RHvBm6IiO8B+1DWDNHEfRRY\nFhHXAs+g5bM0XTG1QxExHdiVcs+YlwJXZ+YtVYtqsYj4CqOWxs7Mw+tU034R8T8jV02MiC9m5h9H\nxFcz81k1a2ubiLiT8rN+FxvG1+xSt6p2i4h5lMUIfzw8IF0TFxFPosyG+0EzeLq1DCEdiog5lFsn\nj1wq9/KKJUkPiohvAc/NzBXNomX/DTwLuDYz96tbnbZGzU3rxuKg6UmIiL2AdwB7ATcBr8nM5XWr\nmjgvx3TuM5R7c7T2f7Z62j8A10bESqCPskT2qyl31ZVqeB/lD+XtwP2Uu4+voNwAVBN3OWWdpWXA\nQcBCyl3JW8kQ0rlpmfni2kVIY8nMz0XEf1MuI/yiGYy6uHJZ2rodCjwZOKkZlHonZWHCfsrt6DUx\nv83MzzVfXxkRr65azSQ5Srlz342IAyNiVkTMjAiXHp6EiHhPRDy1dh29olkO+1bgv4AfNXfa1ARE\nxF9GhB/QJu8Y4C8z87cAmflj4ATKcgeauFsj4syI2CsiXkKZLLFfRLTysqshpHOHAR+h3AV2ePl2\nTdzngHMi4msRcUYz5kYTdx7wrMx8KuVeR+dVrqfN9ge+FRH/HBF71y6mxVaPXr23OUO3qlI9vWIW\n5T36Rsqd3AeAs5p/rePAVFUVEf2UKXzHAR8H/jEzb6tbVftExDWZeeimHuvhaWbDPZeyoN5jgPcD\nH3LNlc5FxOeAs0f+PEfE7wPvz8zWjmHYEjTvz2mUMSHfyMw1lUuaME85dqhZ0+JMSp9tA8zLzH3r\nVtVeEbEP5UZWfwp8mTKTYzoliLTytGJlqyLiLGAJZQDgQOV6WisipgFHUpYWfxzwIeDRwGcpwUSd\neT3wqYi4GvgxZe2a5+IN7CalWSX1+8DjgadR7mPW2j71ckznzqPMQFgOXAZ8om45rfc+yg/S/pn5\nisz8TmZ+E/hg5bra6kWUX0rnU/5w/nXdclrtR5SxCxdn5v6Z+a7M/GfKHZ/Vocz8HiUQ30C539a3\ngYMy89tVC2u/AzLz34BnZuZzKYPRW8szIZ37RWZ+PSLOyMx/j4irahfUcsN3J95IZv5rhVp6wSWu\nvdA1l2fmW0c3ZuZLK9TSapl5N+VDm7pnm4h4OvDjiJhFmZLfWoaQzt0XEYdS1u1/LuXUoiZuZkQ8\nhY2XbV9bt6RWm2V/ds3hEfG2zFxXuxBpDJcDlwCnAG8HLq1bzuQYQjr3CiAop7vfirMPJiuAT49q\n+z81CukRo/tziLJMth6+RwM/j4gfs2HZ9oMq1yQBkJnvjYgPAbsD52bm6solTYqzY8YREcGGe5xM\nY8OdSoe84Zq2JM2I+UcDK0ZPjVTnImJ3HnpfozvrVCNtLCJeAJxDOYnwcWB9Zrb2Q7FnQsZ3KaN+\nIY3gDdcmyNlG3RURfwb8P+BuYIdm7NLVlctqq22Bv2TDe/P3gJdVrUja4NWUO2VfBbwNuI4Wn5k3\nhIwjMw8b/rpZ0+L3gR9lplMgJ+c84HTg5ZQlnB9XtZr2ezNwYGb+MiIeQ5lO+od1S2qtDwOfpEwb\n/znlbrrSluKBzLwvIsjMdRHR6ssxTtHtUES8HPg6ZZW6r0eEMxEm5xeZ+XXKPXn+HTiwdkEtd1dm\n/hIgM38FrKxcT5utzswLgJ81M2KeULkeaaSvNncofmxEXApcX7ugyfBMSOfOAPbNzHsiYgfKolAf\nrlxTmznbqLvuioiPAVcDBwDbRsRrKGOX3lm3tNZZHxG/B8yOiEcBu9QuSBrh7ZTLMd8Bvp+Zn61c\nz6QYQjr3K2ANQBNEBivX03ZnUD5hOtuoOxazYezS0uafJuatwJ8BV1BuQ39F3XKkjXwuM59FGRPS\neoaQzt0HLI2Iayg3D5oTEf9C+aT5qrqltdIpI0Z0/0VEXAj8Z82C2myshd80YXMy85Lm689ExAlV\nq5E2NhARZ1PWBBqi/A36QuWaJswQ0rmL2DBF9/OMmKpbs6i2iYi/AU4F9omIP2matwFmAm+oVpi2\nehHxPModiE+MiGdSfr63odxc8aM1a5NGGACe2vwbZgjZChwDvDEz10fE7wALMvMFtYtqoSso4xbO\nYcMlmPXAimoVScWNlHVW7qV8yoTy3vxItYqkUXrt9gGGkM7dB3wpIi6mXDO+qHI9rdTccvqOiDgD\neCllau6XKL/476tYWqtFxOOAFwLbNU1DY93/RJuWmcuBhRFxOfAHwJ7Ad4GfVS1M6mFO0e3cmym/\njD5OuVmYN2WanEspAeRIYB7lfgiauI9TbmT1y+bfr+qW02pnUu7NcR5l0bKL65Yj9S5DSOeuAX5N\nWa//mIh4X91yWm+PzHwTcG9mfhrYsXZBLbcyM8/NzEuH/9UuqMX+ihKO726mN7uGjbYYEfG5iPiz\n5jYNreflmM79U2Z+rvn62IhwRszkTI+IRwNERB/NnV81YTdHxF9R1g4YAvDeRhM2jY3fj14m1Jbk\ntcBfA2+OiM8DH2jzz7ohpHNLIuI8ysJF/0WPzNGu6Fzga8DOwDeAs+uW03pPY+PR8uC9jSbqI5TF\nCB8fEVfx0Ls9S9Vk5veB1zYf4v4FuCkilgBvalahbhXvotuhiFhECR6nAPOBf8zMQ+tW1X7N/Xju\nykzfiNpiRMQ+wBOBzMzv1q5HGhYRxwAnA/sA/wEsBKYDn2/jTUA9E9K5nTLzAxHx4sxcEhGOp5mE\niDgS+Dua2RwRMZSZz6lbVftExKY++Qxl5kGPaDE9oplpdCzlvblPRPyZM420BXkRZXLEV0Y2RsSb\nq1QzSYaQzg1FxBMAImJXYF3letruXZRLMD+tXUjLvbB2AT3o48AXgeW1C5GGRcRRlPFelwOzmg9y\n02hWTM3MT1YtcIIMIZ07m3La6wnAJyj3PtHE3ZmZX6pdRNtl5h21a+hBKzPz3NpFSKO8kE2v0N3a\nFVMdE6IqImIhZdbBDWy4/4HTnlVdRLyLMljamUbaIkXEXoxYTC8zWzu70DMhquUOyi/4x1SuQxrN\nmUbaYkXEWZS7PM+jDEz9feCVVYuaBM+EqJrmBnZPBH7YLFgmbREiYidgD+DHmel9jbTFiIhlwCHA\nlzLz8Ij4ZmbuX7uuifJMSIciYgblE9IOTdNQZi6pWFKrRcSFlNOJS4GTIuLZmfmaymVJRMTxlCXb\nbwGeHBFvzsz/qFyWNKynFtMzhHRuEWVp8V+OaDOETNwhw1NII+LdlGvw0pbg1cB+mbm6Wc33y5TT\n3tKWoKcW0zOEdG6nzHx27SJ6yIyImJ6ZD1DuYdTagVXqOQ9k5mqAzFwVEffWLkgalpn/EhFfAp5E\nDyymZwjp3E8i4nGZ+ZPahfSIjwLLIuJa4BnNY2lL8OOIuIhyqfDZwG2V65EeFBHPoNxkcTvgOc1C\nj6+oXNaEOTB1HBHxS8osjlnAbGCADVNKd6lZW9tFxJMo6678IDNvrl2PBBAR2wIvo7w3vw+8LzPv\nr1uVVETED4ALgbubpqHM/EzFkibFMyHjyMydASJit8x8cAXF4dVTNTGj0vwftT3Nq6c8irJa6vCs\nmOcDH6tXjrSRH2bmwtpFdIshZBwR8WTKnXPfHhGva5qnAxfw0LUE1LnLKGl+kGbp4brlSA/6AmVm\nzOCINkOIthSfiIiPAt9jw7Ltrb23kSFkfHMpy+XuzIb7dKwH3lutot7QU2lePeXuzHxp7SKkTTiT\ncuuQu+mBD3COCelQROyXmd+uXUeviIiTgWPokTSv3hERrwF+SzkbAoBrAmlLERFXZebRtevoFs+E\njCMi3pOZZwLvjYiRic1bpU9OT6V59ZRnUwaiHzqizRCiLcVdEXEpMPyhuNX33TKEjG/40/lJwJrm\n62mVauklv87Mt9cuQhrD7Mw8onYR0ibcRvnQtnPtQrrBEDKOzPxV8+VHgB9SVk7978x0AaPJ6ak0\nr55yc0S8kPLe9C662iKMmKH5kdq1dJMhpEOZ+fSI2Ac4Frg6In6Vmc+vXVeL9VSaV095KvCUUW3e\nRVe1vRr4O+DfRrUPAc955MvpDgemdigingr8MXAE0Ad8JTPn162q/SLirzPzg7XrkKQ2iIhjM/Oz\nIx6fkJmtXXHaMyGdWwLcDpxDuRxjeuuOlwCGEEnajIh4HnAw8MKIeCZlbOI2wHG0+LYX29QuoEV2\nopwKezbwpYj4z8r1SJK2HjcCCdzX/DeBm9mwflUreSakczsCjwUeT7mHzPV1y+kZp9YuQBopImYA\nTwN2aJqGXCdEtTWDUhdGxOWZ2TN3HTeEdG4x8BngvMz8Xu1i2i4ijqScWdouIqD8om/t4Cr1lEWU\nDx2/HNFmCNGW4g3NLUSGZ2i2+maqhpAOZeb+tWvoMe8CzgZ+WrsQaZSdMvPZtYuQNuGvgF0y857a\nhXSDIUS13JmZX6pdhDSGn0TE4zLzJ7ULkcZwO2VcSE9wiq6qiIiFlB+kGyjz3F2sTFVFxC8p78VZ\nlHFfA2x4b7b2dLd6S0RcBTwOuIkN788T61Y1cZ4JGUdE/MMmnvKGa5NzB+UH6DGV65AAyMydYaOV\nKWkeP6FeVdJDXDji69bfd8sQMr7hQagnUZLnEuCZwD7VKuoBmfnmiPgT4InADzPz07Vr0tYtIp4M\n7AK8vRn4BzAduICyiqpUTXPn8WFDlIGp38rM2yuV1BWGkHFk5iKAiDg9M89pmj8fEY5nmISIuBDY\nE1gKnBQRz87M11QuS1u3uZQ1F3Zmw9oL64H3VqtI2mBvNj7rMRs4NyIuzswPVKpp0gwhnfudiNgz\nM38UEU+kvAE0cYdk5kEAEfFu4BuV69FWrlkLZElE7JeZ3x73G6RHUGa+YXRbRGwHXAMYQrYCfwss\nioidgZ/hIluTNSMipmfmA5SVe3tm8R21U0S8JzPPBN4bESM/cQ4NB2ZpS5KZ90XE2tp1TIYhpEOZ\n+bWIOATYHbgtM1dXLqntPgosi4hrgWfQ4nsfqGcMDzT//+3dX6jX9R3H8Wdb5rALXbFombXp5GWG\nsNXG1pih0fo3ljQqti4c3exi7KJ5MS+MDCYbXVmDBUYbjLUcJFgU1SpB7Y8jqAmbuFdRh8xBsTWi\nzAr1nF18vid/Ne2ctN/v7fmd1wMOfn+f8xNeyOH4/n3+vD8rgfe755OKskRMqPtQPGvCN57AckR3\nkiRdS7u87mTgPmDU9rraVFNbtxFQwD9t/6M6TwSApOeAF2idUx+2/e4EfyWi7yRt/MjQTNr1Aqts\nby6I9KlIETJJkp4BLgEeAb4LPGv7gtpUU5ekc2ib/z7XDeXIc5wwJC0Gvk+7ofR129cUR4ppTtIy\n2sbU8dm5/bQPcG+VhfoUZDlm8g5162/YPigpyzHH5z7gceDVid4YMUiSvkr7oDF+l9HuwjgRANje\nWp2hH1KETN5T3XTYXEkbyC26x+st2zdXh4g4gu201thraMsxmS6O6JMsx3wCkq4ElgC7bT9YnWcq\nk7Sediz3b3Rn322/UBoqApA0A/gOcDnwDeDftn9YmypiOGUmZJIknQ3soX1CWi3pVds7i2NNZV/j\n/7tQLq8IEvERs4G5wLm0fkCZ9YzokxQhk3cvsBb4GW3X/O3AsspAU5ntZdUZIo7iUeABYJ3tXRO9\nOSKOXYqQyRultRhfY3ujpDQrixhCtr9enSFiuvhMdYApZAZwG62t83LglOI8ERERU1pmQibvRuBS\nWo/+FcCPP/7t8XEknUzbFzLe7W+su7sjIiKmiRQhk/cyrUnMesDA3to4U94m2gbA13rGUoREGUlr\nj/KtNNKL6JMUIZN3F/Am8BhtQ+rdtDsm4ticbntpdYiIHuObUFcCf6cVxRcBi8sSRQy5FCGTt7Dn\nP837Je0oTTP17ZF0ju091UEiAGxvApD0E9truuG/SHqiMFbEUEsRMnkzJZ1q+x1Js8im3mMi6TVa\nc7KZwHWS/tu9HrN9Vmm4iGaOpIW2X5R0Pq1XSET0QYqQybsD2ClpF2169mjrx/ExbJ8JIGme7Q/u\njZG0qC5VxIfcBGzqrkn/F5Dj+BF9krbtn4Ck04D5wIjtN6rzTEWSlgBn0Y47/6Ib/izwa9sf7aAa\nUULSbOBLwEu2c1llRJ9kJmQC3aV1Rxofs33DoPMMgc8DPwLO7P6E1gjuzrJEET0kXUu7vO5k4D5J\no7bXFceKGEopQia2gbZn4aTudaaOjkPXC2S7pAtsP1+dJ+IIVtFOxTwC/Ap4FkgREtEH2Vw5Adtb\ngUXA093zKHCe7W2VuaYqSb/tHu+UtKPn65nSYBGHHbL9HoDtg0CWYyL6JDMhE5B0K7AEuAc4QGtS\ntkrSGWlgdEzG/81WAu93zycd5b0RFZ7qlmHnStpAbtGN6JtsTJ2ApGeBb9ke7RmbAezIRVfHTtJz\nwAu0zqkP2363OFLEByRdSfvwsdv2g9V5IoZVlmMmtq+3AAGwfQB4uyjPULB9IfBL4CvAFkmbiyNF\nACDpbGAP8ABwjaSc2orokxQhE9svaUHvgKT5tL0hcYy6X+zfAy7phnYXxonodS9wBm1T6uPA7bVx\nIoZX9oRMbDWwWdIWYASYB1xBbtE9XttplwKuoS3HZF0wThSjwJPAGtsbJaVZWUSfZCZkArZ3ARcD\nO2nXzj8PfDvHS4/b6cDPgaXAE5L+XJwnYtwMWjO97ZKWA6cU54kYWpkJmQTbbwJ/qM4xZGYDc4Fz\naXdz5ARCnChuBC4FfgesILOeEX2TIiSqPErb+Leum22KOFG8TDs2vh4w7Vh+RPRBjuhGRPSQ9Hvg\nTdq+pWXAabZXloaKGFKZCYmI+LCFtpd2z/dL2lGaJmKIZWNqRMSHzZR0KoCkWeT3ZETfZCYkBkrS\n2qN8ayxt8OMEcQewU9IuYDFwtJ/ZiDhOqfBj0HZ1XxfSjj7+lbYJ8PzKUBHjbP8J+Cbt5tyLbG8s\njhQxtLIxNUpIesz2ZT2vn7B9aWWmmN66S+uOZMz2DQMNEzFNZDkmqsyRtND2i5LOp/UKiai0ARjj\n8K3O+YQW0WdZjokqNwGbJL0O/BH4aXGemOZsbwUWAU93z6PAeba3VeaKGGYpQqKE7Wdo7fAvAy5O\nG/yoJulW2s/jeJv2vcDlkm4pCxUx5FKERAlJ1wJbgXuAVZJurk0UwVXAdbbfAbA9AlwPXF2aKmKI\npQiJKquAi4D/0K5M/0FtnAj22R7tHbB9AHi7KE/E0EsRElUO2X4PwPZBYF9xnoj9khb0DkiaT9sb\nEhF9kNMxUeWp7kjkXEkbyC26UW81sFnSFmAEmAdcQW7Rjeib9AmJMpKuBJYAu20/WJ0nQtIcYAXw\nReAV4CHbWY6J6JMUIVFC0tnAbOAg7RPob2zvrE0VERGDlD0hUeVe4AzaptTHgdtr40RExKClCIkq\no8CTwOzubo5DxXkiImLAUoRElRnAbcB2Scs53CAqIiKmiRQhUeVG4CVaIfIFcgIhImLaSRESVV6m\nXRS2nnYSYW9tnIiIGLQUIVHlLmAB8BjwZeDu2jgRETFoaVYWVRbaXto93y9pR2maiIgYuMyERJWZ\nkk4FkDSL/CxGREw7mQmJKncAOyXtAhYDa4vzRETEgKVjapSRdBowHxix/UZ1noiIGKwUITFQ3aV1\nRzJm+4aBhomIiFJZjolB2wCM0Y7n0j1HRMQ0lM2AMVC2twKLgKe751HgPNvbKnNFRMTgpQiJgZJ0\nK1vLSpwAAACpSURBVHAZh9u07wUul3RLWaiIiCiRIiQG7SrgOtvvANgeAa4Hri5NFRERA5ciJAZt\nn+3R3gHbB4C3i/JERESRFCExaPslLegdkDSftjckIiKmkZyOiUFbDWyWtAUYAeYBV5BbdCMipp30\nCYmBkzQHWEG7PfcV4CHbWY6JiJhmUoREREREiewJiYiIiBIpQiIiIqJEipCIiIgokSIkIiIiSqQI\niYiIiBL/AzCZReP6SWpAAAAAAElFTkSuQmCC\n",
+       "text": [
+        "<matplotlib.figure.Figure at 0x10d4c2a58>"
+       ]
+      }
+     ],
+     "prompt_number": 12
+    },
+    {
+     "cell_type": "heading",
+     "level": 1,
+     "metadata": {},
+     "source": [
+      "Averaging Complaints Per Day of Week"
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "complaints['datetime'] = pd.to_datetime(complaints['Date received'])"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 13
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "complaints['weekday'] = complaints['datetime'].apply(lambda x: x.weekday())"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 14
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "complaints_by_weekday = complaints['weekday'].value_counts()"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 15
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "complaints_sorted_days = complaints_by_weekday.sort_index()\n"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 16
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "complaints_sorted_days.index = ['Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday', 'Saturday', 'Sunday']"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 17
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "day_weights = [5,5,5,4,4,4,4]"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 18
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "mean_complaints_per_day = complaints_sorted_days / day_weights"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 19
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "plt.figure(figsize=(9,9))\n",
+      "plt.title('Average Complaints Per Day')\n",
+      "mean_complaints_per_day.plot(kind='bar', color='#d62e2e')\n",
+      "\n",
+      "\n",
+      "\n"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 20,
+       "text": [
+        "<matplotlib.axes._subplots.AxesSubplot at 0x10db60438>"
+       ]
+      },
+      {
+       "metadata": {},
+       "output_type": "display_data",
+       "png": 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KsCFJkqpaPMiNRcRC4H3A3sD/A56fmT8f5HtIkqThMuiejScAY5m5P/Aa4B0D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\n",
+       "text": [
+        "<matplotlib.figure.Figure at 0x10db60518>"
+       ]
+      }
+     ],
+     "prompt_number": 20
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "complaint_by_issue = complaints.Issue.value_counts()\n",
+      "complaint_issue_top = complaint_by_issue[:10]"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 21
+    },
+    {
+     "cell_type": "code",
+     "collapsed": true,
+     "input": [
+      "plt.figure(figsize=(9,9))\n",
+      "plt.title('Complaints per Issue')\n",
+      "complaint_issue_top.plot(kind='bar', color='#d62e2e')\n",
+      "\n"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 22,
+       "text": [
+        "<matplotlib.axes._subplots.AxesSubplot at 0x10dea2898>"
+       ]
+      },
+      {
+       "metadata": {},
+       "output_type": "display_data",
+       "png": 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AlwL7AQcBx0XE1tnDV5Ikddogu+F+Hjij+X4bYC2wT2Ze0Bz7CvBo4BZgRWau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\n",
+       "text": [
+        "<matplotlib.figure.Figure at 0x10dea2080>"
+       ]
+      }
+     ],
+     "prompt_number": 22
+    },
+    {
+     "cell_type": "heading",
+     "level": 1,
+     "metadata": {},
+     "source": [
+      "Complaint by Sub-Issue"
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "complaint_by_sub = complaints['Sub-issue'].value_counts()"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 23
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "complaint_by_sub_top = complaint_by_sub[:10]"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 24
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "plt.figure(figsize=(9,9))\n",
+      "plt.title('Complaints by Sub-Issue')\n",
+      "complaint_by_sub_top.plot(kind='bar', color='#d62e2e')\n",
+      "\n",
+      "\n"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 25,
+       "text": [
+        "<matplotlib.axes._subplots.AxesSubplot at 0x10de549b0>"
+       ]
+      },
+      {
+       "metadata": {},
+       "output_type": "display_data",
+       "png": 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l2JAkSVUZNiRJUlWGDUmSVJVhQ5IkVeVGbJKkW4SxsTFWr17V12NGRxexdu2G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\n",
+       "text": [
+        "<matplotlib.figure.Figure at 0x10de54a58>"
+       ]
+      }
+     ],
+     "prompt_number": 25
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "In conclusion I have found the following:\n",
+      "\n",
+      "Mortgage, Debt Collection and Credit Reporting are the top 3 product complaints by far.\n",
+      "\n",
+      "Bank of America and the 3 debt collection agencies have the most complaints by far.\n",
+      "\n",
+      "Most issues are resolved with explanation.\n",
+      "\n",
+      "Mortgages and loans changing terms without notice and erroneous credit reporting are the most common issues.\n",
+      "\n",
+      "And false debt allocation and account status are the leading subissues.\n",
+      "\n",
+      "    \n",
+      "    "
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "complaints_by_state = complaints.State.value_counts()"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 26
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "state_alpha_complaints = complaints_by_state.sort_index()"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 54
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "sorted_states = state_alpha_complaints.sort()\n"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 57
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "state_alpha_complaints.sort()"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 61
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "valid_states = state_alpha_complaints[4:]"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 63
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "states_sorted = valid_states.sort_index()"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 66
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "states_sorted"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 68,
+       "text": [
+        "AK      15\n",
+        "AL     147\n",
+        "AR      59\n",
+        "AZ     213\n",
+        "CA    1591\n",
+        "CO     180\n",
+        "CT     109\n",
+        "DC      82\n",
+        "DE      44\n",
+        "FL    1093\n",
+        "GA     512\n",
+        "HI      48\n",
+        "IA      51\n",
+        "ID      39\n",
+        "IL     427\n",
+        "IN     132\n",
+        "KS      56\n",
+        "KY      59\n",
+        "LA     127\n",
+        "MA     200\n",
+        "MD     342\n",
+        "ME      39\n",
+        "MI     287\n",
+        "MN     135\n",
+        "MO     119\n",
+        "MS      57\n",
+        "MT      14\n",
+        "NC     287\n",
+        "ND       8\n",
+        "NE      37\n",
+        "NH      46\n",
+        "NJ     465\n",
+        "NM      55\n",
+        "NV     159\n",
+        "NY     733\n",
+        "OH     348\n",
+        "OK      93\n",
+        "OR     120\n",
+        "PA     418\n",
+        "PR      27\n",
+        "RI      40\n",
+        "SC     130\n",
+        "SD      22\n",
+        "TN     192\n",
+        "TX    1099\n",
+        "UT      70\n",
+        "VA     373\n",
+        "VT      18\n",
+        "WA     231\n",
+        "WI     143\n",
+        "WV      26\n",
+        "WY       8\n",
+        "Length: 52, dtype: int64"
+       ]
+      }
+     ],
+     "prompt_number": 68
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [],
+     "language": "python",
+     "metadata": {},
+     "outputs": []
+    }
+   ],
+   "metadata": {}
+  }
+ ]
+}
\ No newline at end of file
diff --git a/Consumer Complaint Analysis.ipynb b/Consumer Complaint Analysis.ipynb
new file mode 100644
index 0000000..0ffcbe7
--- /dev/null
+++ b/Consumer Complaint Analysis.ipynb	
@@ -0,0 +1,661 @@
+{
+ "metadata": {
+  "name": "",
+  "signature": "sha256:d2bae5a2874cdd8aaaa34714b71b9b8248c706e230d567ec4aa620cdf5483cca"
+ },
+ "nbformat": 3,
+ "nbformat_minor": 0,
+ "worksheets": [
+  {
+   "cells": [
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "import pandas as pd\n",
+      "import numpy as np\n",
+      "import matplotlib.pyplot as plt\n",
+      "import seaborn as sns\n"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 1
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "%matplotlib inline"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 2
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "complaints = pd.read_csv(\"complaints_dec_2014.csv\")\n"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 3
+    },
+    {
+     "cell_type": "heading",
+     "level": 1,
+     "metadata": {},
+     "source": [
+      "Complaints by Product"
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "complaints_by_product = complaints.Product.value_counts()"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 4
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "complaints_by_product"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 5,
+       "text": [
+        "Mortgage                   3002\n",
+        "Debt collection            2942\n",
+        "Credit reporting           2113\n",
+        "Bank account or service    1136\n",
+        "Credit card                1100\n",
+        "Consumer loan               578\n",
+        "Student loan                340\n",
+        "Payday loan                 141\n",
+        "Money transfers             107\n",
+        "Prepaid card                 70\n",
+        "Other financial service      14\n",
+        "dtype: int64"
+       ]
+      }
+     ],
+     "prompt_number": 5
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "plt.figure(figsize=(9,9))\n",
+      "plt.title('Complaints by Product Type')\n",
+      "complaints_by_product.plot(kind='bar', color='#d62e2e')\n"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 6,
+       "text": [
+        "<matplotlib.axes._subplots.AxesSubplot at 0x10d3ec668>"
+       ]
+      },
+      {
+       "metadata": {},
+       "output_type": "display_data",
+       "png": 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Cq4BDM/PsiNgMOA1YCCwD9srM26fklUiSpFYZM4QArwOWZuaeETEfuBr4V+DTmXlk56SI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\n",
+       "text": [
+        "<matplotlib.figure.Figure at 0x10d3ecac8>"
+       ]
+      }
+     ],
+     "prompt_number": 6
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "complaints_by_company = complaints.Company.value_counts()"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 7
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "complaints_by_company[:10]"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 8,
+       "text": [
+        "Bank of America        766\n",
+        "Equifax                737\n",
+        "Experian               675\n",
+        "TransUnion             604\n",
+        "Wells Fargo            598\n",
+        "JPMorgan Chase         545\n",
+        "Ocwen                  408\n",
+        "Citibank               403\n",
+        "Nationstar Mortgage    357\n",
+        "Capital One            252\n",
+        "dtype: int64"
+       ]
+      }
+     ],
+     "prompt_number": 8
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "plt.figure(figsize=(9,9))\n",
+      "plt.title('Top Ten Worst Companies')\n",
+      "complaints_by_company[:10].plot(kind='bar', color='#d62e2e')\n",
+      "\n"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 9,
+       "text": [
+        "<matplotlib.axes._subplots.AxesSubplot at 0x10d5a6c88>"
+       ]
+      },
+      {
+       "metadata": {},
+       "output_type": "display_data",
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x54Lt6O855kLttlx++aV9jz3p19Xj44zO07EnK1Ysrf63Mhdsx/xiO/p/nqlsNmxk5qkR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\n1CnLhiRJ6pRlQ5IkdcqyIUmSOvUAB+Xm+6YjvO0AAAAASUVORK5CYII=\n",
+       "text": [
+        "<matplotlib.figure.Figure at 0x10d5ac550>"
+       ]
+      }
+     ],
+     "prompt_number": 9
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "complaints_by_response = complaints[\"Company response\"].value_counts()"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 10
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "complaints_by_response\n"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 11,
+       "text": [
+        "Closed with explanation            8185\n",
+        "Closed with non-monetary relief    1253\n",
+        "In progress                        1056\n",
+        "Closed with monetary relief         643\n",
+        "Closed                              239\n",
+        "Untimely response                   167\n",
+        "dtype: int64"
+       ]
+      }
+     ],
+     "prompt_number": 11
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "plt.figure(figsize=(9,9))\n",
+      "plt.title('Complaints by Product Type')\n",
+      "complaints_by_response.plot(kind='bar', color='#d62e2e')\n",
+      "\n",
+      "\n"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 12,
+       "text": [
+        "<matplotlib.axes._subplots.AxesSubplot at 0x10d4c6320>"
+       ]
+      },
+      {
+       "metadata": {},
+       "output_type": "display_data",
+       "png": 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NrXnzZtPf3zf+hj1qaz72brMvu8v+7C77s3va3pebDSHAfMollDdFxPDYkLOB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\niYiIiBL/AzCZReP6SWpAAAAAAElFTkSuQmCC\n",
+       "text": [
+        "<matplotlib.figure.Figure at 0x10d4c2a58>"
+       ]
+      }
+     ],
+     "prompt_number": 12
+    },
+    {
+     "cell_type": "heading",
+     "level": 1,
+     "metadata": {},
+     "source": [
+      "Averaging Complaints Per Day of Week"
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "complaints['datetime'] = pd.to_datetime(complaints['Date received'])"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 13
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "complaints['weekday'] = complaints['datetime'].apply(lambda x: x.weekday())"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 14
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "complaints_by_weekday = complaints['weekday'].value_counts()"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 15
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "complaints_sorted_days = complaints_by_weekday.sort_index()\n"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 16
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "complaints_sorted_days.index = ['Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday', 'Saturday', 'Sunday']"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 17
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "day_weights = [5,5,5,4,4,4,4]"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 18
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "mean_complaints_per_day = complaints_sorted_days / day_weights"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 19
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "plt.figure(figsize=(9,9))\n",
+      "plt.title('Average Complaints Per Day')\n",
+      "mean_complaints_per_day.plot(kind='bar', color='#d62e2e')\n",
+      "\n",
+      "\n",
+      "\n"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 20,
+       "text": [
+        "<matplotlib.axes._subplots.AxesSubplot at 0x10db60438>"
+       ]
+      },
+      {
+       "metadata": {},
+       "output_type": "display_data",
+       "png": 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KsCFJkqpaPMiNRcRC4H3A3sD/A56fmT8f5HtIkqThMuiejScAY5m5P/Aa4B0D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\n",
+       "text": [
+        "<matplotlib.figure.Figure at 0x10db60518>"
+       ]
+      }
+     ],
+     "prompt_number": 20
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "complaint_by_issue = complaints.Issue.value_counts()\n",
+      "complaint_issue_top = complaint_by_issue[:10]"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 21
+    },
+    {
+     "cell_type": "code",
+     "collapsed": true,
+     "input": [
+      "plt.figure(figsize=(9,9))\n",
+      "plt.title('Complaints per Issue')\n",
+      "complaint_issue_top.plot(kind='bar', color='#d62e2e')\n",
+      "\n"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 22,
+       "text": [
+        "<matplotlib.axes._subplots.AxesSubplot at 0x10dea2898>"
+       ]
+      },
+      {
+       "metadata": {},
+       "output_type": "display_data",
+       "png": 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AlwL7AQcBx0XE1tnDV5Ikddogu+F+Hjij+X4bYC2wT2Ze0Bz7CvBo4BZgRWau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\n",
+       "text": [
+        "<matplotlib.figure.Figure at 0x10dea2080>"
+       ]
+      }
+     ],
+     "prompt_number": 22
+    },
+    {
+     "cell_type": "heading",
+     "level": 1,
+     "metadata": {},
+     "source": [
+      "Complaint by Sub-Issue"
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "complaint_by_sub = complaints['Sub-issue'].value_counts()"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 23
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "complaint_by_sub_top = complaint_by_sub[:10]"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 24
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "plt.figure(figsize=(9,9))\n",
+      "plt.title('Complaints by Sub-Issue')\n",
+      "complaint_by_sub_top.plot(kind='bar', color='#d62e2e')\n",
+      "\n",
+      "\n"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 25,
+       "text": [
+        "<matplotlib.axes._subplots.AxesSubplot at 0x10de549b0>"
+       ]
+      },
+      {
+       "metadata": {},
+       "output_type": "display_data",
+       "png": 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l2JAkSVUZNiRJUlWGDUmSVJVhQ5IkVeVGbJKkW4SxsTFWr17V12NGRxexdu2G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\n",
+       "text": [
+        "<matplotlib.figure.Figure at 0x10de54a58>"
+       ]
+      }
+     ],
+     "prompt_number": 25
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "In conclusion I have found the following:\n",
+      "\n",
+      "Mortgage, Debt Collection and Credit Reporting are the top 3 product complaints by far.\n",
+      "\n",
+      "Bank of America and the 3 debt collection agencies have the most complaints by far.\n",
+      "\n",
+      "Most issues are resolved with explanation.\n",
+      "\n",
+      "Mortgages and loans changing terms without notice and erroneous credit reporting are the most common issues.\n",
+      "\n",
+      "And false debt allocation and account status are the leading subissues.\n",
+      "\n",
+      "    \n",
+      "    "
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "complaints_by_state = complaints.State.value_counts()"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 26
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "state_alpha_complaints = complaints_by_state.sort_index()"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 54
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "sorted_states = state_alpha_complaints.sort()\n"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 57
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "state_alpha_complaints.sort()"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 61
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "valid_states = state_alpha_complaints[4:]"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 63
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "states_sorted = valid_states.sort_index()"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 66
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "states_sorted"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 68,
+       "text": [
+        "AK      15\n",
+        "AL     147\n",
+        "AR      59\n",
+        "AZ     213\n",
+        "CA    1591\n",
+        "CO     180\n",
+        "CT     109\n",
+        "DC      82\n",
+        "DE      44\n",
+        "FL    1093\n",
+        "GA     512\n",
+        "HI      48\n",
+        "IA      51\n",
+        "ID      39\n",
+        "IL     427\n",
+        "IN     132\n",
+        "KS      56\n",
+        "KY      59\n",
+        "LA     127\n",
+        "MA     200\n",
+        "MD     342\n",
+        "ME      39\n",
+        "MI     287\n",
+        "MN     135\n",
+        "MO     119\n",
+        "MS      57\n",
+        "MT      14\n",
+        "NC     287\n",
+        "ND       8\n",
+        "NE      37\n",
+        "NH      46\n",
+        "NJ     465\n",
+        "NM      55\n",
+        "NV     159\n",
+        "NY     733\n",
+        "OH     348\n",
+        "OK      93\n",
+        "OR     120\n",
+        "PA     418\n",
+        "PR      27\n",
+        "RI      40\n",
+        "SC     130\n",
+        "SD      22\n",
+        "TN     192\n",
+        "TX    1099\n",
+        "UT      70\n",
+        "VA     373\n",
+        "VT      18\n",
+        "WA     231\n",
+        "WI     143\n",
+        "WV      26\n",
+        "WY       8\n",
+        "Length: 52, dtype: int64"
+       ]
+      }
+     ],
+     "prompt_number": 68
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [],
+     "language": "python",
+     "metadata": {},
+     "outputs": []
+    }
+   ],
+   "metadata": {}
+  }
+ ]
+}
\ No newline at end of file