311_exercise.ipynb

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   "source": [
    "# Load packages\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline"
   ]
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  {
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   "source": [
    "# Load the data (ignore the warning)\n",
    "df = pd.read_csv('https://s3.amazonaws.com/datapolitan-training-files/311_Requests_Oct15_Nov20.csv')"
   ]
  },
  {
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   "source": [
    "# Explore the dataset"
   ]
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   "source": [
    "## How many rows are there?"
   ]
  },
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   "source": [
    "## How many columns are there?"
   ]
  },
  {
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   "source": [
    "## What is the time range of this data (think minimum and maximum dates)?"
   ]
  },
  {
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  {
   "cell_type": "code",
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   "source": [
    "## Try creating a histogram"
   ]
  },
  {
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   "source": [
    "- - -"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Check the data types (`df.dtypes`)"
   ]
  },
  {
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  {
   "cell_type": "markdown",
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   "source": [
    "- - - "
   ]
  },
  {
   "cell_type": "markdown",
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   "source": [
    "## Which borough has the most complaints?"
   ]
  },
  {
   "cell_type": "code",
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   "outputs": [],
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  },
  {
   "cell_type": "code",
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  {
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   "source": [
    "## Create a plot of the counts by borough"
   ]
  },
  {
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  {
   "cell_type": "code",
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  {
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   "source": [
    "## Which columns look interesting to you? (hint: use `df.columns` to see a list of column names)"
   ]
  },
  {
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  },
  {
   "cell_type": "code",
   "execution_count": null,
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  {
   "cell_type": "markdown",
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   "source": [
    "## Find the number of Noise complaints"
   ]
  },
  {
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   "source": [
    "## Fuzzy match on all types of noise complaints"
   ]
  },
  {
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  },
  {
   "cell_type": "markdown",
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   "source": [
    "## Filter your data for both categories of derelict vehicles"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
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  },
  {
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   "source": [
    "## Count the number of derelict vehicle(s) complaints by borough"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
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  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Count the number of derelict vehicle(s) complaints by community district"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
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  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Create a new Jupyter Notebook and follow the directions\n",
    "![img](images/new_notebook.png)"
   ]
  },
  {
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