hw_3.ipynb

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    "# Homework 3\n",
    "\n",
    "_[General assignment information](https://python-public-policy.afeld.me/en/{{school_slug}}/assignments.html)_"
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    "## Coding\n",
    "\n",
    "We are going to look at the population count of different community districts over time."
   ]
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    "### Step 0\n",
    "\n",
    "Read the data from the [New York City Population By Community Districts](https://data.cityofnewyork.us/City-Government/New-York-City-Population-By-Community-Districts/xi7c-iiu2/data) data set into a DataFrame called `pop_by_cd`. To get the URL:\n",
    "\n",
    "1. Visit the page linked above.\n",
    "1. Click `Export`.\n",
    "1. Right-click `CSV`.\n",
    "1. Click `Copy Link Address` (or `Location`, depending on your browser)."
   ]
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    "# your code here"
   ]
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   "source": [
    "### Step 1\n",
    "\n",
    "Prepare the data. [Reshape](https://pandas.pydata.org/pandas-docs/stable/user_guide/reshaping.html#reshaping-by-melt) the DataFrame to have one row per community district per Census year.\n",
    "\n",
    "<details>\n",
    "<summary><strong>Hints</strong></summary>\n",
    "\n",
    "- You'll want the `id_vars` to be `Borough`, `CD Number`, and `CD Name`.\n",
    "- You'll want to use [`.str.replace()`](https://pandas.pydata.org/docs/reference/api/pandas.Series.str.replace.html) to get rid of the ` Population` suffixes.\n",
    "</details>"
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    "# your code here"
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    "### Step 2\n",
    "\n",
    "Create a line chart of the population over time for each community district in Manhattan. There should be [one line for each](https://plotly.com/python/line-charts/#line-plots-with-column-encoding-color)."
   ]
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    "# your code here"
   ]
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   "cell_type": "markdown",
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   "source": [
    "## Tutorials\n",
    "\n",
    "1. Go through the first third of [Time Series Analysis with Pandas](https://www.dataquest.io/blog/tutorial-time-series-analysis-with-pandas/), up until the \"Visualizing time series data\" section.\n",
    "1. Read [how to handle time series data in pandas](https://pandas.pydata.org/pandas-docs/stable/getting_started/intro_tutorials/09_timeseries.html).\n",
    "1. Read the [Data Design Standards](https://xdgov.github.io/data-design-standards/).\n",
    "\n",
    "### Optional\n",
    "\n",
    "- Watch [this talk on audification/sonification](https://www.youtube.com/watch?v=55dIfA7C038). We won't be doing so in this class, but hopefully will provide some inspiration about different ways that data can be represented.\n",
    "- Read about other tools and techniques for visualization in Python.\n",
    "   - [PyViz](https://pyviz.org/)\n",
    "   - [Python Graph Gallery](https://www.python-graph-gallery.com/)\n",
    "\n",
    "## Final Project Proposal\n",
    "\n",
    "**Please submit your [proposal](https://python-public-policy.afeld.me/en/{{school_slug}}/final_project.html).**\n",
    "\n",
    "## Participation\n",
    "\n",
    "Reminder about the [between-class participation requirement](https://python-public-policy.afeld.me/en/{{school_slug}}/syllabus.html#participation)."
   ]
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