lecture_1_exercise.ipynb

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    "# Lecture 1 in-class exercise\n",
    "\n",
    "We'll be doing calculations on [2021 Yellow Taxi Trips](https://data.cityofnewyork.us/Transportation/2021-Yellow-Taxi-Trip-Data/m6nq-qud6) data. We'll live-code this together.\n",
    "\n",
    "## Step 0\n",
    "\n",
    "The data needs to available on the machine where Python is running in order to process it, so let's download from the NYC Open Data site directly:"
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      "2025-01-18 12:39:39 URL:https://data.cityofnewyork.us/resource/m6nq-qud6.csv [136065] -> \"2021_yellow_taxi_trips.csv\" [1]\n"
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   "source": [
    "!wget -O 2021_yellow_taxi_trips.csv --no-verbose https://data.cityofnewyork.us/resource/m6nq-qud6.csv"
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    "This is using a command-line program to do the downloading. We'll download data ourselves manually later. Look at the files in the current directory:"
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      "2021_yellow_taxi_trips.csv        lecture_1_exercise.ipynb\n",
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   "source": [
    "!ls"
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   "source": [
    "You should see `2021_yellow_taxi_trips.csv` there."
   ]
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   "source": [
    "## Step 1\n",
    "\n",
    "Print out the trip distances."
   ]
  },
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   "execution_count": 3,
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   "outputs": [],
   "source": [
    "# your code here"
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   "source": [
    "## Step 2\n",
    "\n",
    "Calculate the average ride distance."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# your code here"
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   "cell_type": "markdown",
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   "source": [
    "## Step 3\n",
    "\n",
    "Your turn! Calculate the percent of trips that were paid for by credit card. The data dictionary will be helpful - see the Attachment on [the dataset page](https://data.cityofnewyork.us/Transportation/2021-Yellow-Taxi-Trip-Data/m6nq-qud6)."
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   "source": [
    "# your code here"
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