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    "# Chapter Exercise\n"
   ]
  },
  {
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   "source": [
    "Apply the key ideas from this chapter in the connected task below. Work in your own notebook or local project. Keep your implementation, reasoning, and verification results together.\n"
   ]
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    "## Tell a story with honest charts\n",
    "\n",
    "1. Reuse a real dataset already supplied in this chapter and state a question requiring a distribution, comparison, or relationship chart.\n",
    "\n",
    "2. Create the appropriate pandas plot and justify labels, units, scales, color, and any aggregation. For a date series, show a resampled view and a moving average.\n",
    "\n",
    "3. Compare the plot with underlying values and explain how a different axis or time window could mislead. Distinguish trend, seasonality, and smoothing from a causal explanation.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fd597eb6",
   "metadata": {},
   "source": [
    "Return to the chapter lessons as needed: [Pandas Plotting Basics](0501-pandas-vis.ipynb), [Pandas Chart Types](0502-pandas-chart-types.ipynb), [Pandas Plot Styling](0503-pandas-plot-styling.ipynb), [Time Series Plots](0504-time-series-plots.ipynb).\n"
   ]
  }
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