Data-Science-For-Beginners/translations/tw/4-Data-Science-Lifecycle/15-analyzing/assignment.ipynb

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   "source": [
    "# 冬季和夏季的紐約市計程車數據\n",
    "\n",
    "請參考 [Data dictionary](https://www1.nyc.gov/assets/tlc/downloads/pdf/data_dictionary_trip_records_yellow.pdf) 以了解提供的欄位詳細資訊。\n"
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "source": [
    "#Install the pandas library\r\n",
    "!pip install pandas"
   ],
   "outputs": [],
   "metadata": {
    "scrolled": true
   }
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "source": [
    "import pandas as pd\r\n",
    "\r\n",
    "path = '../../data/taxi.csv'\r\n",
    "\r\n",
    "#Load the csv file into a dataframe\r\n",
    "df = pd.read_csv(path)\r\n",
    "\r\n",
    "#Print the dataframe\r\n",
    "print(df)\r\n"
   ],
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "     VendorID tpep_pickup_datetime tpep_dropoff_datetime  passenger_count  \\\n",
      "0         2.0  2019-07-15 16:27:53   2019-07-15 16:44:21              3.0   \n",
      "1         2.0  2019-07-17 20:26:35   2019-07-17 20:40:09              6.0   \n",
      "2         2.0  2019-07-06 16:01:08   2019-07-06 16:10:25              1.0   \n",
      "3         1.0  2019-07-18 22:32:23   2019-07-18 22:35:08              1.0   \n",
      "4         2.0  2019-07-19 14:54:29   2019-07-19 15:19:08              1.0   \n",
      "..        ...                  ...                   ...              ...   \n",
      "195       2.0  2019-01-18 08:42:15   2019-01-18 08:56:57              1.0   \n",
      "196       1.0  2019-01-19 04:34:45   2019-01-19 04:43:44              1.0   \n",
      "197       2.0  2019-01-05 10:37:39   2019-01-05 10:42:03              1.0   \n",
      "198       2.0  2019-01-23 10:36:29   2019-01-23 10:44:34              2.0   \n",
      "199       2.0  2019-01-30 06:55:58   2019-01-30 07:07:02              5.0   \n",
      "\n",
      "     trip_distance  RatecodeID store_and_fwd_flag  PULocationID  DOLocationID  \\\n",
      "0             2.02         1.0                  N           186           233   \n",
      "1             1.59         1.0                  N           141           161   \n",
      "2             1.69         1.0                  N           246           249   \n",
      "3             0.90         1.0                  N           229           141   \n",
      "4             4.79         1.0                  N           237           107   \n",
      "..             ...         ...                ...           ...           ...   \n",
      "195           1.18         1.0                  N            43           237   \n",
      "196           2.30         1.0                  N           148           234   \n",
      "197           0.83         1.0                  N           237           263   \n",
      "198           1.12         1.0                  N           144           113   \n",
      "199           2.41         1.0                  N           209           107   \n",
      "\n",
      "     payment_type  fare_amount  extra  mta_tax  tip_amount  tolls_amount  \\\n",
      "0             1.0         12.0    1.0      0.5        4.08           0.0   \n",
      "1             2.0         10.0    0.5      0.5        0.00           0.0   \n",
      "2             2.0          8.5    0.0      0.5        0.00           0.0   \n",
      "3             1.0          4.5    3.0      0.5        1.65           0.0   \n",
      "4             1.0         19.5    0.0      0.5        5.70           0.0   \n",
      "..            ...          ...    ...      ...         ...           ...   \n",
      "195           1.0         10.0    0.0      0.5        2.16           0.0   \n",
      "196           1.0          9.5    0.5      0.5        2.15           0.0   \n",
      "197           1.0          5.0    0.0      0.5        1.16           0.0   \n",
      "198           2.0          7.0    0.0      0.5        0.00           0.0   \n",
      "199           1.0         10.5    0.0      0.5        1.00           0.0   \n",
      "\n",
      "     improvement_surcharge  total_amount  congestion_surcharge  \n",
      "0                      0.3         20.38                   2.5  \n",
      "1                      0.3         13.80                   2.5  \n",
      "2                      0.3         11.80                   2.5  \n",
      "3                      0.3          9.95                   2.5  \n",
      "4                      0.3         28.50                   2.5  \n",
      "..                     ...           ...                   ...  \n",
      "195                    0.3         12.96                   0.0  \n",
      "196                    0.3         12.95                   0.0  \n",
      "197                    0.3          6.96                   0.0  \n",
      "198                    0.3          7.80                   0.0  \n",
      "199                    0.3         12.30                   0.0  \n",
      "\n",
      "[200 rows x 18 columns]\n"
     ]
    }
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  {
   "cell_type": "markdown",
   "source": [
    "# 使用以下單元格進行您的探索性數據分析\n"
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "source": [],
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  },
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   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n---\n\n**免責聲明**：  \n本文件使用 AI 翻譯服務 [Co-op Translator](https://github.com/Azure/co-op-translator) 進行翻譯。我們致力於提供準確的翻譯，但請注意，自動翻譯可能包含錯誤或不準確之處。應以原始語言的文件作為權威來源。對於關鍵資訊，建議尋求專業人工翻譯。我們對因使用此翻譯而產生的任何誤解或錯誤解讀概不負責。\n"
   ]
  }
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