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Flight Delay Data Analysis and Modeling.ipynb
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flight-delay-data-analysis-and-modeling.ipynb
{
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"colab": {
"provenance": [],
"gpuType": "V28",
"mount_file_id": "1HBreRsEbvXdVEKRfytyDtU_SFd5_7CN-",
"authorship_tag": "ABX9TyNryolCVFt5I6mI2VFoVDa9",
"include_colab_link": true
},
"kernelspec": {
"name": "python3",
"display_name": "Python 3"
},
"language_info": {
"name": "python"
},
"accelerator": "TPU"
},
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "view-in-github",
"colab_type": "text"
},
"source": [
"<a href=\"https://colab.research.google.com/gist/23ccozad/3d19976eb08b5dbf73d285f99950015c/flight-delay-data-analysis-and-modeling.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
]
},
{
"cell_type": "markdown",
"source": [
"# Improving Predictions of Commercial Flight Delays Using Weather Data\n",
"\n",
"#### DTSA 5506: Data Mining Project\n",
"\n",
"This is the second of two notebooks for this project. In the previous notebook, we gathered and joined all of our datasets.\n",
"\n",
"Here, we will explore, clean, and create models with the data."
],
"metadata": {
"id": "GLFFg9ooKxOc"
}
},
{
"cell_type": "markdown",
"source": [
"First, let's import all the libraries we need."
],
"metadata": {
"id": "Rfo49vIjLRLs"
}
},
{
"cell_type": "code",
"source": [
"import time\n",
"\n",
"import pandas as pd\n",
"import numpy as np\n",
"import matplotlib.pyplot as plt\n",
"import seaborn as sns\n",
"\n",
"from sklearn.model_selection import train_test_split\n",
"from sklearn.preprocessing import StandardScaler\n",
"from sklearn.ensemble import RandomForestClassifier\n",
"from sklearn.svm import SVC\n",
"from sklearn.naive_bayes import GaussianNB\n",
"from sklearn.linear_model import LogisticRegression\n",
"from sklearn.neighbors import KNeighborsClassifier\n",
"from sklearn.metrics import accuracy_score, confusion_matrix"
],
"metadata": {
"id": "GBilny2i-bbH"
},
"execution_count": 2,
"outputs": []
},
{
"cell_type": "markdown",
"source": [
"#### Import the data"
],
"metadata": {
"id": "p7_4GR9xLTDE"
}
},
{
"cell_type": "markdown",
"source": [
"In a previous notebook, we created a CSV file, where we joined flights with weather observations. We'll import that here:"
],
"metadata": {
"id": "R4gHJSUKLWyL"
}
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"id": "U-WXa8Vj9qjn",
"colab": {
"base_uri": "https://localhost:8080/"
},
"outputId": "3826946b-2f26-4b5f-9026-ca32c409d703"
},
"outputs": [
{
"output_type": "stream",
"name": "stderr",
"text": [
"<ipython-input-3-fef5ad70d701>:3: DtypeWarning: Columns (78,89,108,119) have mixed types. Specify dtype option on import or set low_memory=False.\n",
" flights = pd.read_csv(data_path, dtype=dtypes) # To read the full file\n"
]
}
],
"source": [
"data_path = '/content/drive/MyDrive/CU Boulder Data Science/DTSA 5506 - Data Mining Project/data/flights_and_weather.csv.gz'\n",
"dtypes = {7: str, 8: str, 9: str, 10: str, 13: str, 18: str, 20: str, 21: str} # Some columns need to be specified to enter as strings, not integers\n",
"flights = pd.read_csv(data_path, dtype=dtypes)"
]
},
{
"cell_type": "markdown",
"source": [
"Here's a preview of the first few rows:"
],
"metadata": {
"id": "eXIXqp1_LnpU"
}
},
{
"cell_type": "code",
"source": [
"pd.set_option('display.max_columns', 150) # In order to see all columns\n",
"flights.head(3)"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 459
},
"id": "ihEL0LRD-7UQ",
"outputId": "60642c2b-ff74-437c-f128-50c1da2d8681"
},
"execution_count": 4,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
" YEAR MONTH DAY DAY_OF_WEEK AIRLINE FLIGHT_NUMBER TAIL_NUMBER \\\n",
"0 2015 1 1 4 NK 647 N630NK \n",
"1 2015 1 1 4 NK 451 N633NK \n",
"2 2015 1 1 4 DL 2336 N958DN \n",
"\n",
" ORIGIN_AIRPORT DESTINATION_AIRPORT SCHEDULED_DEPARTURE DEPARTURE_TIME \\\n",
"0 IAG FLL 2015-01-01 02:00:00 0155 \n",
"1 PBG FLL 2015-01-01 01:55:00 0139 \n",
"2 DEN ATL 2015-01-01 00:30:00 0024 \n",
"\n",
" DEPARTURE_DELAY TAXI_OUT WHEELS_OFF SCHEDULED_TIME ELAPSED_TIME \\\n",
"0 -5.0 21.0 0216 184.0 178.0 \n",
"1 -16.0 10.0 0149 208.0 191.0 \n",
"2 -6.0 12.0 0036 173.0 149.0 \n",
"\n",
" AIR_TIME DISTANCE WHEELS_ON TAXI_IN SCHEDULED_ARRIVAL ARRIVAL_TIME \\\n",
"0 149.0 1176 0445 8.0 2015-01-01 05:04:00 0453 \n",
"1 174.0 1334 0443 7.0 2015-01-01 05:23:00 0450 \n",
"2 133.0 1199 0449 4.0 2015-01-01 05:23:00 0453 \n",
"\n",
" ARRIVAL_DELAY DIVERTED CANCELLED CANCELLATION_REASON AIR_SYSTEM_DELAY \\\n",
"0 -11.0 0 0 NaN NaN \n",
"1 -33.0 0 0 NaN NaN \n",
"2 -30.0 0 0 NaN NaN \n",
"\n",
" SECURITY_DELAY AIRLINE_DELAY LATE_AIRCRAFT_DELAY WEATHER_DELAY \\\n",
"0 NaN NaN NaN NaN \n",
"1 NaN NaN NaN NaN \n",
"2 NaN NaN NaN NaN \n",
"\n",
" origin_code origin_icao origin_name \\\n",
"0 IAG KIAG Niagara Falls International Airport \n",
"1 PBG KPBG Plattsburgh International Airport \n",
"2 DEN KDEN Denver International Airport \n",
"\n",
" origin_latitude origin_longitude origin_elevation \\\n",
"0 43.107487 -78.950868 570 \n",
"1 44.668928 -73.471938 206 \n",
"2 39.860668 -104.685367 5347 \n",
"\n",
" origin_url origin_time_zone \\\n",
"0 NaN America/New_York \n",
"1 http://www.plattsburghinternationalairport.com/ America/New_York \n",
"2 http://www.flydenver.com/ America/Denver \n",
"\n",
" origin_city_code origin_country origin_city origin_state \\\n",
"0 IAG US Sanborn New York \n",
"1 PBG US Plattsburgh West New York \n",
"2 DEN US Lochbuie Colorado \n",
"\n",
" origin_county origin_type destination_code destination_icao \\\n",
"0 Niagara County AP FLL KFLL \n",
"1 Clinton County AP FLL KFLL \n",
"2 Weld County AP ATL KATL \n",
"\n",
" destination_name destination_latitude \\\n",
"0 Fort Lauderdale-Hollywood International Airport 26.072017 \n",
"1 Fort Lauderdale-Hollywood International Airport 26.072017 \n",
"2 Hartsfield-Jackson Atlanta International Airport 33.637799 \n",
"\n",
" destination_longitude destination_elevation \\\n",
"0 -80.150997 45 \n",
"1 -80.150997 45 \n",
"2 -84.429271 1049 \n",
"\n",
" destination_url destination_time_zone \\\n",
"0 http://www.broward.org/airport America/New_York \n",
"1 http://www.broward.org/airport America/New_York \n",
"2 http://www.atlanta-airport.com/ America/New_York \n",
"\n",
" destination_city_code destination_country destination_city \\\n",
"0 FLL US NaN \n",
"1 FLL US NaN \n",
"2 ATL US NaN \n",
"\n",
" destination_state destination_county destination_type \\\n",
"0 NaN NaN AP \n",
"1 NaN NaN AP \n",
"2 NaN NaN AP \n",
"\n",
" SCHEDULED_DEPARTURE_tz_aware SCHEDULED_ARRIVAL_tz_aware \\\n",
"0 2015-01-01 02:00:00-05:00 2015-01-01 05:04:00-05:00 \n",
"1 2015-01-01 01:55:00-05:00 2015-01-01 05:23:00-05:00 \n",
"2 2015-01-01 00:30:00-07:00 2015-01-01 05:23:00-05:00 \n",
"\n",
" SCHEDULED_DEPARTURE_UTC SCHEDULED_ARRIVAL_UTC origin_station \\\n",
"0 2015-01-01 07:00:00+00:00 2015-01-01 10:04:00+00:00 IAG \n",
"1 2015-01-01 06:55:00+00:00 2015-01-01 10:23:00+00:00 PBG \n",
"2 2015-01-01 07:30:00+00:00 2015-01-01 10:23:00+00:00 DEN \n",
"\n",
" origin_valid origin_tmpf origin_dwpf origin_relh \\\n",
"0 2015-01-01 06:53:00+00:00 19.0 5.0 53.71 \n",
"1 2015-01-01 06:53:00+00:00 19.0 8.0 61.72 \n",
"2 2015-01-01 07:53:00+00:00 7.0 -8.0 49.52 \n",
"\n",
" origin_drct origin_sknt origin_p01i origin_alti origin_mslp \\\n",
"0 250.0 16.0 0.0 29.98 1017.2 \n",
"1 190.0 4.0 0.0 29.92 1013.5 \n",
"2 170.0 13.0 0.0 30.06 1023.2 \n",
"\n",
" origin_vsby origin_gust origin_skyc1 origin_skyc2 origin_skyc3 \\\n",
"0 10.0 28.0 FEW BKN NaN \n",
"1 10.0 NaN BKN BKN NaN \n",
"2 10.0 NaN CLR NaN NaN \n",
"\n",
" origin_skyc4 origin_skyl1 origin_skyl2 origin_skyl3 origin_skyl4 \\\n",
"0 NaN 5500.0 9000.0 NaN NaN \n",
"1 NaN 5000.0 7000.0 NaN NaN \n",
"2 NaN NaN NaN NaN NaN \n",
"\n",
" origin_wxcodes origin_ice_accretion_1hr origin_ice_accretion_3hr \\\n",
"0 NaN NaN NaN \n",
"1 NaN NaN NaN \n",
"2 NaN NaN NaN \n",
"\n",
" origin_ice_accretion_6hr origin_peak_wind_gust origin_peak_wind_drct \\\n",
"0 NaN 32.0 270.0 \n",
"1 NaN NaN NaN \n",
"2 NaN NaN NaN \n",
"\n",
" origin_peak_wind_time origin_feel \\\n",
"0 2015-01-01 05:56 3.53 \n",
"1 NaN 12.29 \n",
"2 NaN -10.49 \n",
"\n",
" origin_metar origin_snowdepth \\\n",
"0 KIAG 010653Z AUTO 25016G28KT 10SM FEW055 BKN09... NaN \n",
"1 KPBG 010653Z AUTO 19004KT 10SM BKN050 BKN070 M... NaN \n",
"2 KDEN 010753Z 17013KT 10SM CLR M14/M22 A3006 RM... NaN \n",
"\n",
" destination_station destination_valid destination_tmpf \\\n",
"0 FLL 2015-01-01 09:53:00+00:00 71.0 \n",
"1 FLL 2015-01-01 09:53:00+00:00 71.0 \n",
"2 ATL 2015-01-01 10:52:00+00:00 33.0 \n",
"\n",
" destination_dwpf destination_relh destination_drct destination_sknt \\\n",
"0 70.0 96.39 360.0 3.0 \n",
"1 70.0 96.39 360.0 3.0 \n",
"2 26.0 75.11 310.0 3.0 \n",
"\n",
" destination_p01i destination_alti destination_mslp destination_vsby \\\n",
"0 0.0 30.13 1020.1 5.0 \n",
"1 0.0 30.13 1020.1 5.0 \n",
"2 0.0 30.30 1026.8 10.0 \n",
"\n",
" destination_gust destination_skyc1 destination_skyc2 destination_skyc3 \\\n",
"0 NaN SCT BKN BKN \n",
"1 NaN SCT BKN BKN \n",
"2 NaN FEW NaN NaN \n",
"\n",
" destination_skyc4 destination_skyl1 destination_skyl2 destination_skyl3 \\\n",
"0 NaN 1900.0 5500.0 7500.0 \n",
"1 NaN 1900.0 5500.0 7500.0 \n",
"2 NaN 25000.0 NaN NaN \n",
"\n",
" destination_skyl4 destination_wxcodes destination_ice_accretion_1hr \\\n",
"0 NaN BR NaN \n",
"1 NaN BR NaN \n",
"2 NaN NaN NaN \n",
"\n",
" destination_ice_accretion_3hr destination_ice_accretion_6hr \\\n",
"0 NaN NaN \n",
"1 NaN NaN \n",
"2 NaN NaN \n",
"\n",
" destination_peak_wind_gust destination_peak_wind_drct \\\n",
"0 NaN NaN \n",
"1 NaN NaN \n",
"2 NaN NaN \n",
"\n",
" destination_peak_wind_time destination_feel \\\n",
"0 NaN 72.40 \n",
"1 NaN 72.40 \n",
"2 NaN 29.92 \n",
"\n",
" destination_metar destination_snowdepth \n",
"0 KFLL 010953Z 36003KT 5SM BR SCT019 BKN055 BKN0... NaN \n",
"1 KFLL 010953Z 36003KT 5SM BR SCT019 BKN055 BKN0... NaN \n",
"2 KATL 011052Z 31003KT 10SM FEW250 01/M03 A3030 ... NaN "
],
"text/html": [
"\n",
" <div id=\"df-3475424f-e40b-4e13-8d2d-a706449798db\" class=\"colab-df-container\">\n",
" <div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>YEAR</th>\n",
" <th>MONTH</th>\n",
" <th>DAY</th>\n",
" <th>DAY_OF_WEEK</th>\n",
" <th>AIRLINE</th>\n",
" <th>FLIGHT_NUMBER</th>\n",
" <th>TAIL_NUMBER</th>\n",
" <th>ORIGIN_AIRPORT</th>\n",
" <th>DESTINATION_AIRPORT</th>\n",
" <th>SCHEDULED_DEPARTURE</th>\n",
" <th>DEPARTURE_TIME</th>\n",
" <th>DEPARTURE_DELAY</th>\n",
" <th>TAXI_OUT</th>\n",
" <th>WHEELS_OFF</th>\n",
" <th>SCHEDULED_TIME</th>\n",
" <th>ELAPSED_TIME</th>\n",
" <th>AIR_TIME</th>\n",
" <th>DISTANCE</th>\n",
" <th>WHEELS_ON</th>\n",
" <th>TAXI_IN</th>\n",
" <th>SCHEDULED_ARRIVAL</th>\n",
" <th>ARRIVAL_TIME</th>\n",
" <th>ARRIVAL_DELAY</th>\n",
" <th>DIVERTED</th>\n",
" <th>CANCELLED</th>\n",
" <th>CANCELLATION_REASON</th>\n",
" <th>AIR_SYSTEM_DELAY</th>\n",
" <th>SECURITY_DELAY</th>\n",
" <th>AIRLINE_DELAY</th>\n",
" <th>LATE_AIRCRAFT_DELAY</th>\n",
" <th>WEATHER_DELAY</th>\n",
" <th>origin_code</th>\n",
" <th>origin_icao</th>\n",
" <th>origin_name</th>\n",
" <th>origin_latitude</th>\n",
" <th>origin_longitude</th>\n",
" <th>origin_elevation</th>\n",
" <th>origin_url</th>\n",
" <th>origin_time_zone</th>\n",
" <th>origin_city_code</th>\n",
" <th>origin_country</th>\n",
" <th>origin_city</th>\n",
" <th>origin_state</th>\n",
" <th>origin_county</th>\n",
" <th>origin_type</th>\n",
" <th>destination_code</th>\n",
" <th>destination_icao</th>\n",
" <th>destination_name</th>\n",
" <th>destination_latitude</th>\n",
" <th>destination_longitude</th>\n",
" <th>destination_elevation</th>\n",
" <th>destination_url</th>\n",
" <th>destination_time_zone</th>\n",
" <th>destination_city_code</th>\n",
" <th>destination_country</th>\n",
" <th>destination_city</th>\n",
" <th>destination_state</th>\n",
" <th>destination_county</th>\n",
" <th>destination_type</th>\n",
" <th>SCHEDULED_DEPARTURE_tz_aware</th>\n",
" <th>SCHEDULED_ARRIVAL_tz_aware</th>\n",
" <th>SCHEDULED_DEPARTURE_UTC</th>\n",
" <th>SCHEDULED_ARRIVAL_UTC</th>\n",
" <th>origin_station</th>\n",
" <th>origin_valid</th>\n",
" <th>origin_tmpf</th>\n",
" <th>origin_dwpf</th>\n",
" <th>origin_relh</th>\n",
" <th>origin_drct</th>\n",
" <th>origin_sknt</th>\n",
" <th>origin_p01i</th>\n",
" <th>origin_alti</th>\n",
" <th>origin_mslp</th>\n",
" <th>origin_vsby</th>\n",
" <th>origin_gust</th>\n",
" <th>origin_skyc1</th>\n",
" <th>origin_skyc2</th>\n",
" <th>origin_skyc3</th>\n",
" <th>origin_skyc4</th>\n",
" <th>origin_skyl1</th>\n",
" <th>origin_skyl2</th>\n",
" <th>origin_skyl3</th>\n",
" <th>origin_skyl4</th>\n",
" <th>origin_wxcodes</th>\n",
" <th>origin_ice_accretion_1hr</th>\n",
" <th>origin_ice_accretion_3hr</th>\n",
" <th>origin_ice_accretion_6hr</th>\n",
" <th>origin_peak_wind_gust</th>\n",
" <th>origin_peak_wind_drct</th>\n",
" <th>origin_peak_wind_time</th>\n",
" <th>origin_feel</th>\n",
" <th>origin_metar</th>\n",
" <th>origin_snowdepth</th>\n",
" <th>destination_station</th>\n",
" <th>destination_valid</th>\n",
" <th>destination_tmpf</th>\n",
" <th>destination_dwpf</th>\n",
" <th>destination_relh</th>\n",
" <th>destination_drct</th>\n",
" <th>destination_sknt</th>\n",
" <th>destination_p01i</th>\n",
" <th>destination_alti</th>\n",
" <th>destination_mslp</th>\n",
" <th>destination_vsby</th>\n",
" <th>destination_gust</th>\n",
" <th>destination_skyc1</th>\n",
" <th>destination_skyc2</th>\n",
" <th>destination_skyc3</th>\n",
" <th>destination_skyc4</th>\n",
" <th>destination_skyl1</th>\n",
" <th>destination_skyl2</th>\n",
" <th>destination_skyl3</th>\n",
" <th>destination_skyl4</th>\n",
" <th>destination_wxcodes</th>\n",
" <th>destination_ice_accretion_1hr</th>\n",
" <th>destination_ice_accretion_3hr</th>\n",
" <th>destination_ice_accretion_6hr</th>\n",
" <th>destination_peak_wind_gust</th>\n",
" <th>destination_peak_wind_drct</th>\n",
" <th>destination_peak_wind_time</th>\n",
" <th>destination_feel</th>\n",
" <th>destination_metar</th>\n",
" <th>destination_snowdepth</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>2015</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>4</td>\n",
" <td>NK</td>\n",
" <td>647</td>\n",
" <td>N630NK</td>\n",
" <td>IAG</td>\n",
" <td>FLL</td>\n",
" <td>2015-01-01 02:00:00</td>\n",
" <td>0155</td>\n",
" <td>-5.0</td>\n",
" <td>21.0</td>\n",
" <td>0216</td>\n",
" <td>184.0</td>\n",
" <td>178.0</td>\n",
" <td>149.0</td>\n",
" <td>1176</td>\n",
" <td>0445</td>\n",
" <td>8.0</td>\n",
" <td>2015-01-01 05:04:00</td>\n",
" <td>0453</td>\n",
" <td>-11.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>IAG</td>\n",
" <td>KIAG</td>\n",
" <td>Niagara Falls International Airport</td>\n",
" <td>43.107487</td>\n",
" <td>-78.950868</td>\n",
" <td>570</td>\n",
" <td>NaN</td>\n",
" <td>America/New_York</td>\n",
" <td>IAG</td>\n",
" <td>US</td>\n",
" <td>Sanborn</td>\n",
" <td>New York</td>\n",
" <td>Niagara County</td>\n",
" <td>AP</td>\n",
" <td>FLL</td>\n",
" <td>KFLL</td>\n",
" <td>Fort Lauderdale-Hollywood International Airport</td>\n",
" <td>26.072017</td>\n",
" <td>-80.150997</td>\n",
" <td>45</td>\n",
" <td>http://www.broward.org/airport</td>\n",
" <td>America/New_York</td>\n",
" <td>FLL</td>\n",
" <td>US</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>AP</td>\n",
" <td>2015-01-01 02:00:00-05:00</td>\n",
" <td>2015-01-01 05:04:00-05:00</td>\n",
" <td>2015-01-01 07:00:00+00:00</td>\n",
" <td>2015-01-01 10:04:00+00:00</td>\n",
" <td>IAG</td>\n",
" <td>2015-01-01 06:53:00+00:00</td>\n",
" <td>19.0</td>\n",
" <td>5.0</td>\n",
" <td>53.71</td>\n",
" <td>250.0</td>\n",
" <td>16.0</td>\n",
" <td>0.0</td>\n",
" <td>29.98</td>\n",
" <td>1017.2</td>\n",
" <td>10.0</td>\n",
" <td>28.0</td>\n",
" <td>FEW</td>\n",
" <td>BKN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>5500.0</td>\n",
" <td>9000.0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>32.0</td>\n",
" <td>270.0</td>\n",
" <td>2015-01-01 05:56</td>\n",
" <td>3.53</td>\n",
" <td>KIAG 010653Z AUTO 25016G28KT 10SM FEW055 BKN09...</td>\n",
" <td>NaN</td>\n",
" <td>FLL</td>\n",
" <td>2015-01-01 09:53:00+00:00</td>\n",
" <td>71.0</td>\n",
" <td>70.0</td>\n",
" <td>96.39</td>\n",
" <td>360.0</td>\n",
" <td>3.0</td>\n",
" <td>0.0</td>\n",
" <td>30.13</td>\n",
" <td>1020.1</td>\n",
" <td>5.0</td>\n",
" <td>NaN</td>\n",
" <td>SCT</td>\n",
" <td>BKN</td>\n",
" <td>BKN</td>\n",
" <td>NaN</td>\n",
" <td>1900.0</td>\n",
" <td>5500.0</td>\n",
" <td>7500.0</td>\n",
" <td>NaN</td>\n",
" <td>BR</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>72.40</td>\n",
" <td>KFLL 010953Z 36003KT 5SM BR SCT019 BKN055 BKN0...</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>2015</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>4</td>\n",
" <td>NK</td>\n",
" <td>451</td>\n",
" <td>N633NK</td>\n",
" <td>PBG</td>\n",
" <td>FLL</td>\n",
" <td>2015-01-01 01:55:00</td>\n",
" <td>0139</td>\n",
" <td>-16.0</td>\n",
" <td>10.0</td>\n",
" <td>0149</td>\n",
" <td>208.0</td>\n",
" <td>191.0</td>\n",
" <td>174.0</td>\n",
" <td>1334</td>\n",
" <td>0443</td>\n",
" <td>7.0</td>\n",
" <td>2015-01-01 05:23:00</td>\n",
" <td>0450</td>\n",
" <td>-33.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>PBG</td>\n",
" <td>KPBG</td>\n",
" <td>Plattsburgh International Airport</td>\n",
" <td>44.668928</td>\n",
" <td>-73.471938</td>\n",
" <td>206</td>\n",
" <td>http://www.plattsburghinternationalairport.com/</td>\n",
" <td>America/New_York</td>\n",
" <td>PBG</td>\n",
" <td>US</td>\n",
" <td>Plattsburgh West</td>\n",
" <td>New York</td>\n",
" <td>Clinton County</td>\n",
" <td>AP</td>\n",
" <td>FLL</td>\n",
" <td>KFLL</td>\n",
" <td>Fort Lauderdale-Hollywood International Airport</td>\n",
" <td>26.072017</td>\n",
" <td>-80.150997</td>\n",
" <td>45</td>\n",
" <td>http://www.broward.org/airport</td>\n",
" <td>America/New_York</td>\n",
" <td>FLL</td>\n",
" <td>US</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>AP</td>\n",
" <td>2015-01-01 01:55:00-05:00</td>\n",
" <td>2015-01-01 05:23:00-05:00</td>\n",
" <td>2015-01-01 06:55:00+00:00</td>\n",
" <td>2015-01-01 10:23:00+00:00</td>\n",
" <td>PBG</td>\n",
" <td>2015-01-01 06:53:00+00:00</td>\n",
" <td>19.0</td>\n",
" <td>8.0</td>\n",
" <td>61.72</td>\n",
" <td>190.0</td>\n",
" <td>4.0</td>\n",
" <td>0.0</td>\n",
" <td>29.92</td>\n",
" <td>1013.5</td>\n",
" <td>10.0</td>\n",
" <td>NaN</td>\n",
" <td>BKN</td>\n",
" <td>BKN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>5000.0</td>\n",
" <td>7000.0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>12.29</td>\n",
" <td>KPBG 010653Z AUTO 19004KT 10SM BKN050 BKN070 M...</td>\n",
" <td>NaN</td>\n",
" <td>FLL</td>\n",
" <td>2015-01-01 09:53:00+00:00</td>\n",
" <td>71.0</td>\n",
" <td>70.0</td>\n",
" <td>96.39</td>\n",
" <td>360.0</td>\n",
" <td>3.0</td>\n",
" <td>0.0</td>\n",
" <td>30.13</td>\n",
" <td>1020.1</td>\n",
" <td>5.0</td>\n",
" <td>NaN</td>\n",
" <td>SCT</td>\n",
" <td>BKN</td>\n",
" <td>BKN</td>\n",
" <td>NaN</td>\n",
" <td>1900.0</td>\n",
" <td>5500.0</td>\n",
" <td>7500.0</td>\n",
" <td>NaN</td>\n",
" <td>BR</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>72.40</td>\n",
" <td>KFLL 010953Z 36003KT 5SM BR SCT019 BKN055 BKN0...</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>2015</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>4</td>\n",
" <td>DL</td>\n",
" <td>2336</td>\n",
" <td>N958DN</td>\n",
" <td>DEN</td>\n",
" <td>ATL</td>\n",
" <td>2015-01-01 00:30:00</td>\n",
" <td>0024</td>\n",
" <td>-6.0</td>\n",
" <td>12.0</td>\n",
" <td>0036</td>\n",
" <td>173.0</td>\n",
" <td>149.0</td>\n",
" <td>133.0</td>\n",
" <td>1199</td>\n",
" <td>0449</td>\n",
" <td>4.0</td>\n",
" <td>2015-01-01 05:23:00</td>\n",
" <td>0453</td>\n",
" <td>-30.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>DEN</td>\n",
" <td>KDEN</td>\n",
" <td>Denver International Airport</td>\n",
" <td>39.860668</td>\n",
" <td>-104.685367</td>\n",
" <td>5347</td>\n",
" <td>http://www.flydenver.com/</td>\n",
" <td>America/Denver</td>\n",
" <td>DEN</td>\n",
" <td>US</td>\n",
" <td>Lochbuie</td>\n",
" <td>Colorado</td>\n",
" <td>Weld County</td>\n",
" <td>AP</td>\n",
" <td>ATL</td>\n",
" <td>KATL</td>\n",
" <td>Hartsfield-Jackson Atlanta International Airport</td>\n",
" <td>33.637799</td>\n",
" <td>-84.429271</td>\n",
" <td>1049</td>\n",
" <td>http://www.atlanta-airport.com/</td>\n",
" <td>America/New_York</td>\n",
" <td>ATL</td>\n",
" <td>US</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>AP</td>\n",
" <td>2015-01-01 00:30:00-07:00</td>\n",
" <td>2015-01-01 05:23:00-05:00</td>\n",
" <td>2015-01-01 07:30:00+00:00</td>\n",
" <td>2015-01-01 10:23:00+00:00</td>\n",
" <td>DEN</td>\n",
" <td>2015-01-01 07:53:00+00:00</td>\n",
" <td>7.0</td>\n",
" <td>-8.0</td>\n",
" <td>49.52</td>\n",
" <td>170.0</td>\n",
" <td>13.0</td>\n",
" <td>0.0</td>\n",
" <td>30.06</td>\n",
" <td>1023.2</td>\n",
" <td>10.0</td>\n",
" <td>NaN</td>\n",
" <td>CLR</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>-10.49</td>\n",
" <td>KDEN 010753Z 17013KT 10SM CLR M14/M22 A3006 RM...</td>\n",
" <td>NaN</td>\n",
" <td>ATL</td>\n",
" <td>2015-01-01 10:52:00+00:00</td>\n",
" <td>33.0</td>\n",
" <td>26.0</td>\n",
" <td>75.11</td>\n",
" <td>310.0</td>\n",
" <td>3.0</td>\n",
" <td>0.0</td>\n",
" <td>30.30</td>\n",
" <td>1026.8</td>\n",
" <td>10.0</td>\n",
" <td>NaN</td>\n",
" <td>FEW</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>25000.0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>29.92</td>\n",
" <td>KATL 011052Z 31003KT 10SM FEW250 01/M03 A3030 ...</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
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],
"application/vnd.google.colaboratory.intrinsic+json": {
"type": "dataframe",
"variable_name": "flights"
}
},
"metadata": {},
"execution_count": 4
}
]
},
{
"cell_type": "markdown",
"source": [
"#### Data Exploration and Cleaning"
],
"metadata": {
"id": "6ZrWmAveKrjM"
}
},
{
"cell_type": "markdown",
"source": [
"This dataset has a lot of columns, and some are nearly duplicates of each other. Others are likely not going to be useful in predicting flight delays. We will go ahead and drop those columns. Justification for dropping each column is noted in the comment on each line."
],
"metadata": {
"id": "zQKLLbcIMy28"
}
},
{
"cell_type": "code",
"source": [
"flights.drop(['YEAR', # Already integrated into SCHEDULED_DEPARTURE_UTC, SCHEUDLED_ARRIVAL_UTC\n",
" 'MONTH', # Already integrated into SCHEDULED_DEPARTURE_UTC, SCHEUDLED_ARRIVAL_UTC\n",
" 'DAY', # Already integrated into SCHEDULED_DEPARTURE_UTC, SCHEUDLED_ARRIVAL_UTC\n",
" 'SCHEDULED_DEPARTURE', # Just a non-tz-aware version of SCHEDULED_DEPARTURE_UTC\n",
" 'DEPARTURE_TIME', # Actual departure time not needed, our target variable is WEATHER_DELAY\n",
" 'DEPARTURE_DELAY', # Just DEPARTURE_TIME - SCHEDULED_DEPARTURE, our target variable is WEATHER_DELAY\n",
" 'TAXI_OUT', # This variable isn't known before departure, so it is not realistic to include in training\n",
" 'WHEELS_OFF', # Wheels-up time, not needed\n",
" 'ELAPSED_TIME', # This is nearly a duplicate of SCHEDULED_TIME\n",
" 'AIR_TIME', # This is nearly a duplicate of SCHEDULED_TIME\n",
" 'WHEELS_ON', # Wheels-down time, not needed\n",
" 'TAXI_IN', # This variable isn't known before departure, so it is not realistic to include in training\n",
" 'SCHEDULED_ARRIVAL', # Just a non-tz-aware version of SCHEDULED_ARRIVAL_UTC\n",
" 'ARRIVAL_TIME', # Actual arrival time not needed, our target variable is WEATHER_DELAY\n",
" 'ARRIVAL_DELAY', # Just ARRIVAL_TIME - SCHEDULED_ARRIVAL, our target variable is WEATHER_DELAY\n",
" 'CANCELLATION_REASON', # Not helpful, we are predicting delays, not cancellations\n",
" 'AIR_SYSTEM_DELAY', # Our target variable is WEATHER_DELAY instead\n",
" 'SECURITY_DELAY', # Our target variable is WEATHER_DELAY instead\n",
" 'AIRLINE_DELAY', # Our target variable is WEATHER_DELAY instead\n",
" 'LATE_AIRCRAFT_DELAY', # Our target variable is WEATHER_DELAY instead\n",
" 'origin_code', # Duplicate of ORIGIN_AIRPORT\n",
" 'origin_icao', # Near-duplicate of ORIGIN_AIRPORT\n",
" 'origin_name', # Near duplicate of ORIGIN_AIRPORT\n",
" 'origin_url', # Airport website URL is not useful here\n",
" 'origin_city_code', # Near duplicate of ORIGIN_AIRPORT\n",
" 'origin_country', # Not useful, all flights in this dataset are US\n",
" 'origin_city', # Near-duplicate of ORIGIN_AIRPORT\n",
" 'origin_county', # Near-duplicate of ORIGIN_AIRPORT\n",
" 'origin_type', # Not useful, all origin types are \"AP\" (airport)\n",
" 'origin_time_zone', # Time zone already integrated into SCHEUDLED_DEPARTURE_tz_aware\n",
" 'destination_code', # Duplicate of ORIGIN_AIRPORT\n",
" 'destination_icao', # Near-duplicate of ORIGIN_AIRPORT\n",
" 'destination_name', # Near duplicate of ORIGIN_AIRPORT\n",
" 'destination_url', # Airport website URL is not useful here\n",
" 'destination_city_code', # Near duplicate of ORIGIN_AIRPORT\n",
" 'destination_country', # Not useful, all flights in this dataset are US\n",
" 'destination_city', # Near-duplicate of ORIGIN_AIRPORT\n",
" 'destination_county', # Near-duplicate of ORIGIN_AIRPORT\n",
" 'destination_type', # Not useful, all origin types are \"AP\" (airport)\n",
" 'destination_time_zone', # Time zone already integrated into SCHEUDLED_ARRIVAL_tz_aware\n",
" 'origin_station', # Duplicate of ORIGIN_AIRPORT\n",
" 'origin_valid', # Near-duplicate of SCHEDULED_DEPARTURE_UTC\n",
" 'origin_metar', # Do not need raw METAR string, this data is already separated into other weather columns\n",
" 'destination_station', # Duplicate of DESTINATION_AIRPORT\n",
" 'destination_valid', # Near-duplicate of SCHEDULED_ARRIVAL_UTC\n",
" 'destination_metar', # Do not need raw METAR string, this data is already separated into other weather columns\n",
" ], axis=1, inplace=True)"
],
"metadata": {
"id": "HuwitE1pA5jg"
},
"execution_count": 5,
"outputs": []
},
{
"cell_type": "code",
"source": [
"flights.head()"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 313
},
"id": "uRbeqFbxfNHr",
"outputId": "e83b10fb-9473-4530-8a65-e93a4064045e"
},
"execution_count": 6,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
" DAY_OF_WEEK AIRLINE FLIGHT_NUMBER TAIL_NUMBER ORIGIN_AIRPORT \\\n",
"0 4 NK 647 N630NK IAG \n",
"1 4 NK 451 N633NK PBG \n",
"2 4 DL 2336 N958DN DEN \n",
"3 4 NK 597 N528NK MSP \n",
"4 4 AA 2459 N3BDAA PHX \n",
"\n",
" DESTINATION_AIRPORT SCHEDULED_TIME DISTANCE DIVERTED CANCELLED \\\n",
"0 FLL 184.0 1176 0 0 \n",
"1 FLL 208.0 1334 0 0 \n",
"2 ATL 173.0 1199 0 0 \n",
"3 FLL 207.0 1487 0 0 \n",
"4 DFW 120.0 868 0 1 \n",
"\n",
" WEATHER_DELAY origin_latitude origin_longitude origin_elevation \\\n",
"0 NaN 43.107487 -78.950868 570 \n",
"1 NaN 44.668928 -73.471938 206 \n",
"2 NaN 39.860668 -104.685367 5347 \n",
"3 0.0 44.878019 -93.220928 803 \n",
"4 NaN 33.432891 -112.009422 1112 \n",
"\n",
" origin_state destination_latitude destination_longitude \\\n",
"0 New York 26.072017 -80.150997 \n",
"1 New York 26.072017 -80.150997 \n",
"2 Colorado 33.637799 -84.429271 \n",
"3 Minnesota 26.072017 -80.150997 \n",
"4 Arizona 32.896519 -97.046522 \n",
"\n",
" destination_elevation destination_state SCHEDULED_DEPARTURE_tz_aware \\\n",
"0 45 NaN 2015-01-01 02:00:00-05:00 \n",
"1 45 NaN 2015-01-01 01:55:00-05:00 \n",
"2 1049 NaN 2015-01-01 00:30:00-07:00 \n",
"3 45 NaN 2015-01-01 01:15:00-06:00 \n",
"4 574 Texas 2015-01-01 02:00:00-07:00 \n",
"\n",
" SCHEDULED_ARRIVAL_tz_aware SCHEDULED_DEPARTURE_UTC \\\n",
"0 2015-01-01 05:04:00-05:00 2015-01-01 07:00:00+00:00 \n",
"1 2015-01-01 05:23:00-05:00 2015-01-01 06:55:00+00:00 \n",
"2 2015-01-01 05:23:00-05:00 2015-01-01 07:30:00+00:00 \n",
"3 2015-01-01 05:42:00-05:00 2015-01-01 07:15:00+00:00 \n",
"4 2015-01-01 05:00:00-06:00 2015-01-01 09:00:00+00:00 \n",
"\n",
" SCHEDULED_ARRIVAL_UTC origin_tmpf origin_dwpf origin_relh \\\n",
"0 2015-01-01 10:04:00+00:00 19.0 5.0 53.71 \n",
"1 2015-01-01 10:23:00+00:00 19.0 8.0 61.72 \n",
"2 2015-01-01 10:23:00+00:00 7.0 -8.0 49.52 \n",
"3 2015-01-01 10:42:00+00:00 11.0 5.0 76.49 \n",
"4 2015-01-01 11:00:00+00:00 37.0 31.0 78.31 \n",
"\n",
" origin_drct origin_sknt origin_p01i origin_alti origin_mslp \\\n",
"0 250.0 16.0 0.0 29.98 1017.2 \n",
"1 190.0 4.0 0.0 29.92 1013.5 \n",
"2 170.0 13.0 0.0 30.06 1023.2 \n",
"3 240.0 9.0 0.0 29.92 1015.1 \n",
"4 300.0 4.0 0.0 30.03 1016.9 \n",
"\n",
" origin_vsby origin_gust origin_skyc1 origin_skyc2 origin_skyc3 \\\n",
"0 10.0 28.0 FEW BKN NaN \n",
"1 10.0 NaN BKN BKN NaN \n",
"2 10.0 NaN CLR NaN NaN \n",
"3 10.0 NaN OVC NaN NaN \n",
"4 10.0 NaN SCT BKN BKN \n",
"\n",
" origin_skyc4 origin_skyl1 origin_skyl2 origin_skyl3 origin_skyl4 \\\n",
"0 NaN 5500.0 9000.0 NaN NaN \n",
"1 NaN 5000.0 7000.0 NaN NaN \n",
"2 NaN NaN NaN NaN NaN \n",
"3 NaN 17000.0 NaN NaN NaN \n",
"4 NaN 2000.0 6000.0 10000.0 NaN \n",
"\n",
" origin_wxcodes origin_ice_accretion_1hr origin_ice_accretion_3hr \\\n",
"0 NaN NaN NaN \n",
"1 NaN NaN NaN \n",
"2 NaN NaN NaN \n",
"3 NaN NaN NaN \n",
"4 NaN NaN NaN \n",
"\n",
" origin_ice_accretion_6hr origin_peak_wind_gust origin_peak_wind_drct \\\n",
"0 NaN 32.0 270.0 \n",
"1 NaN NaN NaN \n",
"2 NaN NaN NaN \n",
"3 NaN NaN NaN \n",
"4 NaN NaN NaN \n",
"\n",
" origin_peak_wind_time origin_feel origin_snowdepth destination_tmpf \\\n",
"0 2015-01-01 05:56 3.53 NaN 71.0 \n",
"1 NaN 12.29 NaN 71.0 \n",
"2 NaN -10.49 NaN 33.0 \n",
"3 NaN -2.67 NaN 71.0 \n",
"4 NaN 33.31 NaN 33.0 \n",
"\n",
" destination_dwpf destination_relh destination_drct destination_sknt \\\n",
"0 70.0 96.39 360.0 3.0 \n",
"1 70.0 96.39 360.0 3.0 \n",
"2 26.0 75.11 310.0 3.0 \n",
"3 71.0 100.00 10.0 3.0 \n",
"4 25.0 71.82 350.0 7.0 \n",
"\n",
" destination_p01i destination_alti destination_mslp destination_vsby \\\n",
"0 0.0000 30.13 1020.1 5.0 \n",
"1 0.0000 30.13 1020.1 5.0 \n",
"2 0.0000 30.30 1026.8 10.0 \n",
"3 0.0000 30.14 1020.7 7.0 \n",
"4 0.0001 30.33 1027.5 10.0 \n",
"\n",
" destination_gust destination_skyc1 destination_skyc2 destination_skyc3 \\\n",
"0 NaN SCT BKN BKN \n",
"1 NaN SCT BKN BKN \n",
"2 NaN FEW NaN NaN \n",
"3 NaN SCT BKN OVC \n",
"4 NaN OVC NaN NaN \n",
"\n",
" destination_skyc4 destination_skyl1 destination_skyl2 destination_skyl3 \\\n",
"0 NaN 1900.0 5500.0 7500.0 \n",
"1 NaN 1900.0 5500.0 7500.0 \n",
"2 NaN 25000.0 NaN NaN \n",
"3 NaN 1700.0 5000.0 6500.0 \n",
"4 NaN 4300.0 NaN NaN \n",
"\n",
" destination_skyl4 destination_wxcodes destination_ice_accretion_1hr \\\n",
"0 NaN BR NaN \n",
"1 NaN BR NaN \n",
"2 NaN NaN NaN \n",
"3 NaN NaN NaN \n",
"4 NaN NaN NaN \n",
"\n",
" destination_ice_accretion_3hr destination_ice_accretion_6hr \\\n",
"0 NaN NaN \n",
"1 NaN NaN \n",
"2 NaN NaN \n",
"3 NaN NaN \n",
"4 NaN NaN \n",
"\n",
" destination_peak_wind_gust destination_peak_wind_drct \\\n",
"0 NaN NaN \n",
"1 NaN NaN \n",
"2 NaN NaN \n",
"3 NaN NaN \n",
"4 NaN NaN \n",
"\n",
" destination_peak_wind_time destination_feel destination_snowdepth \n",
"0 NaN 72.40 NaN \n",
"1 NaN 72.40 NaN \n",
"2 NaN 29.92 NaN \n",
"3 NaN 72.57 NaN \n",
"4 NaN 26.10 NaN "
],
"text/html": [
"\n",
" <div id=\"df-94368d04-8b08-4d84-b436-0cbf6763ce73\" class=\"colab-df-container\">\n",
" <div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>DAY_OF_WEEK</th>\n",
" <th>AIRLINE</th>\n",
" <th>FLIGHT_NUMBER</th>\n",
" <th>TAIL_NUMBER</th>\n",
" <th>ORIGIN_AIRPORT</th>\n",
" <th>DESTINATION_AIRPORT</th>\n",
" <th>SCHEDULED_TIME</th>\n",
" <th>DISTANCE</th>\n",
" <th>DIVERTED</th>\n",
" <th>CANCELLED</th>\n",
" <th>WEATHER_DELAY</th>\n",
" <th>origin_latitude</th>\n",
" <th>origin_longitude</th>\n",
" <th>origin_elevation</th>\n",
" <th>origin_state</th>\n",
" <th>destination_latitude</th>\n",
" <th>destination_longitude</th>\n",
" <th>destination_elevation</th>\n",
" <th>destination_state</th>\n",
" <th>SCHEDULED_DEPARTURE_tz_aware</th>\n",
" <th>SCHEDULED_ARRIVAL_tz_aware</th>\n",
" <th>SCHEDULED_DEPARTURE_UTC</th>\n",
" <th>SCHEDULED_ARRIVAL_UTC</th>\n",
" <th>origin_tmpf</th>\n",
" <th>origin_dwpf</th>\n",
" <th>origin_relh</th>\n",
" <th>origin_drct</th>\n",
" <th>origin_sknt</th>\n",
" <th>origin_p01i</th>\n",
" <th>origin_alti</th>\n",
" <th>origin_mslp</th>\n",
" <th>origin_vsby</th>\n",
" <th>origin_gust</th>\n",
" <th>origin_skyc1</th>\n",
" <th>origin_skyc2</th>\n",
" <th>origin_skyc3</th>\n",
" <th>origin_skyc4</th>\n",
" <th>origin_skyl1</th>\n",
" <th>origin_skyl2</th>\n",
" <th>origin_skyl3</th>\n",
" <th>origin_skyl4</th>\n",
" <th>origin_wxcodes</th>\n",
" <th>origin_ice_accretion_1hr</th>\n",
" <th>origin_ice_accretion_3hr</th>\n",
" <th>origin_ice_accretion_6hr</th>\n",
" <th>origin_peak_wind_gust</th>\n",
" <th>origin_peak_wind_drct</th>\n",
" <th>origin_peak_wind_time</th>\n",
" <th>origin_feel</th>\n",
" <th>origin_snowdepth</th>\n",
" <th>destination_tmpf</th>\n",
" <th>destination_dwpf</th>\n",
" <th>destination_relh</th>\n",
" <th>destination_drct</th>\n",
" <th>destination_sknt</th>\n",
" <th>destination_p01i</th>\n",
" <th>destination_alti</th>\n",
" <th>destination_mslp</th>\n",
" <th>destination_vsby</th>\n",
" <th>destination_gust</th>\n",
" <th>destination_skyc1</th>\n",
" <th>destination_skyc2</th>\n",
" <th>destination_skyc3</th>\n",
" <th>destination_skyc4</th>\n",
" <th>destination_skyl1</th>\n",
" <th>destination_skyl2</th>\n",
" <th>destination_skyl3</th>\n",
" <th>destination_skyl4</th>\n",
" <th>destination_wxcodes</th>\n",
" <th>destination_ice_accretion_1hr</th>\n",
" <th>destination_ice_accretion_3hr</th>\n",
" <th>destination_ice_accretion_6hr</th>\n",
" <th>destination_peak_wind_gust</th>\n",
" <th>destination_peak_wind_drct</th>\n",
" <th>destination_peak_wind_time</th>\n",
" <th>destination_feel</th>\n",
" <th>destination_snowdepth</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>4</td>\n",
" <td>NK</td>\n",
" <td>647</td>\n",
" <td>N630NK</td>\n",
" <td>IAG</td>\n",
" <td>FLL</td>\n",
" <td>184.0</td>\n",
" <td>1176</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>NaN</td>\n",
" <td>43.107487</td>\n",
" <td>-78.950868</td>\n",
" <td>570</td>\n",
" <td>New York</td>\n",
" <td>26.072017</td>\n",
" <td>-80.150997</td>\n",
" <td>45</td>\n",
" <td>NaN</td>\n",
" <td>2015-01-01 02:00:00-05:00</td>\n",
" <td>2015-01-01 05:04:00-05:00</td>\n",
" <td>2015-01-01 07:00:00+00:00</td>\n",
" <td>2015-01-01 10:04:00+00:00</td>\n",
" <td>19.0</td>\n",
" <td>5.0</td>\n",
" <td>53.71</td>\n",
" <td>250.0</td>\n",
" <td>16.0</td>\n",
" <td>0.0</td>\n",
" <td>29.98</td>\n",
" <td>1017.2</td>\n",
" <td>10.0</td>\n",
" <td>28.0</td>\n",
" <td>FEW</td>\n",
" <td>BKN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>5500.0</td>\n",
" <td>9000.0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>32.0</td>\n",
" <td>270.0</td>\n",
" <td>2015-01-01 05:56</td>\n",
" <td>3.53</td>\n",
" <td>NaN</td>\n",
" <td>71.0</td>\n",
" <td>70.0</td>\n",
" <td>96.39</td>\n",
" <td>360.0</td>\n",
" <td>3.0</td>\n",
" <td>0.0000</td>\n",
" <td>30.13</td>\n",
" <td>1020.1</td>\n",
" <td>5.0</td>\n",
" <td>NaN</td>\n",
" <td>SCT</td>\n",
" <td>BKN</td>\n",
" <td>BKN</td>\n",
" <td>NaN</td>\n",
" <td>1900.0</td>\n",
" <td>5500.0</td>\n",
" <td>7500.0</td>\n",
" <td>NaN</td>\n",
" <td>BR</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>72.40</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>4</td>\n",
" <td>NK</td>\n",
" <td>451</td>\n",
" <td>N633NK</td>\n",
" <td>PBG</td>\n",
" <td>FLL</td>\n",
" <td>208.0</td>\n",
" <td>1334</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>NaN</td>\n",
" <td>44.668928</td>\n",
" <td>-73.471938</td>\n",
" <td>206</td>\n",
" <td>New York</td>\n",
" <td>26.072017</td>\n",
" <td>-80.150997</td>\n",
" <td>45</td>\n",
" <td>NaN</td>\n",
" <td>2015-01-01 01:55:00-05:00</td>\n",
" <td>2015-01-01 05:23:00-05:00</td>\n",
" <td>2015-01-01 06:55:00+00:00</td>\n",
" <td>2015-01-01 10:23:00+00:00</td>\n",
" <td>19.0</td>\n",
" <td>8.0</td>\n",
" <td>61.72</td>\n",
" <td>190.0</td>\n",
" <td>4.0</td>\n",
" <td>0.0</td>\n",
" <td>29.92</td>\n",
" <td>1013.5</td>\n",
" <td>10.0</td>\n",
" <td>NaN</td>\n",
" <td>BKN</td>\n",
" <td>BKN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>5000.0</td>\n",
" <td>7000.0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>12.29</td>\n",
" <td>NaN</td>\n",
" <td>71.0</td>\n",
" <td>70.0</td>\n",
" <td>96.39</td>\n",
" <td>360.0</td>\n",
" <td>3.0</td>\n",
" <td>0.0000</td>\n",
" <td>30.13</td>\n",
" <td>1020.1</td>\n",
" <td>5.0</td>\n",
" <td>NaN</td>\n",
" <td>SCT</td>\n",
" <td>BKN</td>\n",
" <td>BKN</td>\n",
" <td>NaN</td>\n",
" <td>1900.0</td>\n",
" <td>5500.0</td>\n",
" <td>7500.0</td>\n",
" <td>NaN</td>\n",
" <td>BR</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>72.40</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>4</td>\n",
" <td>DL</td>\n",
" <td>2336</td>\n",
" <td>N958DN</td>\n",
" <td>DEN</td>\n",
" <td>ATL</td>\n",
" <td>173.0</td>\n",
" <td>1199</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>NaN</td>\n",
" <td>39.860668</td>\n",
" <td>-104.685367</td>\n",
" <td>5347</td>\n",
" <td>Colorado</td>\n",
" <td>33.637799</td>\n",
" <td>-84.429271</td>\n",
" <td>1049</td>\n",
" <td>NaN</td>\n",
" <td>2015-01-01 00:30:00-07:00</td>\n",
" <td>2015-01-01 05:23:00-05:00</td>\n",
" <td>2015-01-01 07:30:00+00:00</td>\n",
" <td>2015-01-01 10:23:00+00:00</td>\n",
" <td>7.0</td>\n",
" <td>-8.0</td>\n",
" <td>49.52</td>\n",
" <td>170.0</td>\n",
" <td>13.0</td>\n",
" <td>0.0</td>\n",
" <td>30.06</td>\n",
" <td>1023.2</td>\n",
" <td>10.0</td>\n",
" <td>NaN</td>\n",
" <td>CLR</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>-10.49</td>\n",
" <td>NaN</td>\n",
" <td>33.0</td>\n",
" <td>26.0</td>\n",
" <td>75.11</td>\n",
" <td>310.0</td>\n",
" <td>3.0</td>\n",
" <td>0.0000</td>\n",
" <td>30.30</td>\n",
" <td>1026.8</td>\n",
" <td>10.0</td>\n",
" <td>NaN</td>\n",
" <td>FEW</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>25000.0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>29.92</td>\n",
" <td>NaN</td>\n",
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"application/vnd.google.colaboratory.intrinsic+json": {
"type": "dataframe",
"variable_name": "flights"
}
},
"metadata": {},
"execution_count": 6
}
]
},
{
"cell_type": "markdown",
"source": [
"We also want to examine null values. Are there columns that are missing large amounts of values? If so, it might be beneficial to drop them as well."
],
"metadata": {
"id": "XE9LPObbNIDF"
}
},
{
"cell_type": "code",
"source": [
"pd.set_option('display.max_rows', 100)\n",
"missing_percent = flights.isnull().mean() * 100\n",
"missing_percent"
],
"metadata": {
"id": "1ZId7JbJNPMc",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 1000
},
"outputId": "b950f945-b065-4afd-8ef9-0d82857c3aa1"
},
"execution_count": 7,
"outputs": [
{
"output_type": "execute_result",
"data": {
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" </tr>\n",
" <tr>\n",
" <th>origin_dwpf</th>\n",
" <td>0.027096</td>\n",
" </tr>\n",
" <tr>\n",
" <th>origin_relh</th>\n",
" <td>0.027647</td>\n",
" </tr>\n",
" <tr>\n",
" <th>origin_drct</th>\n",
" <td>3.957993</td>\n",
" </tr>\n",
" <tr>\n",
" <th>origin_sknt</th>\n",
" <td>0.163974</td>\n",
" </tr>\n",
" <tr>\n",
" <th>origin_p01i</th>\n",
" <td>0.111082</td>\n",
" </tr>\n",
" <tr>\n",
" <th>origin_alti</th>\n",
" <td>0.008980</td>\n",
" </tr>\n",
" <tr>\n",
" <th>origin_mslp</th>\n",
" <td>8.267644</td>\n",
" </tr>\n",
" <tr>\n",
" <th>origin_vsby</th>\n",
" <td>0.016128</td>\n",
" </tr>\n",
" <tr>\n",
" <th>origin_gust</th>\n",
" <td>87.160585</td>\n",
" </tr>\n",
" <tr>\n",
" <th>origin_skyc1</th>\n",
" <td>0.021760</td>\n",
" </tr>\n",
" <tr>\n",
" <th>origin_skyc2</th>\n",
" <td>45.203250</td>\n",
" </tr>\n",
" <tr>\n",
" <th>origin_skyc3</th>\n",
" <td>74.246283</td>\n",
" </tr>\n",
" <tr>\n",
" <th>origin_skyc4</th>\n",
" <td>95.584505</td>\n",
" </tr>\n",
" <tr>\n",
" <th>origin_skyl1</th>\n",
" <td>12.701532</td>\n",
" </tr>\n",
" <tr>\n",
" <th>origin_skyl2</th>\n",
" <td>45.203309</td>\n",
" </tr>\n",
" <tr>\n",
" <th>origin_skyl3</th>\n",
" <td>74.246598</td>\n",
" </tr>\n",
" <tr>\n",
" <th>origin_skyl4</th>\n",
" <td>95.584505</td>\n",
" </tr>\n",
" <tr>\n",
" <th>origin_wxcodes</th>\n",
" <td>87.783874</td>\n",
" </tr>\n",
" <tr>\n",
" <th>origin_ice_accretion_1hr</th>\n",
" <td>99.794554</td>\n",
" </tr>\n",
" <tr>\n",
" <th>origin_ice_accretion_3hr</th>\n",
" <td>99.961069</td>\n",
" </tr>\n",
" <tr>\n",
" <th>origin_ice_accretion_6hr</th>\n",
" <td>99.908787</td>\n",
" </tr>\n",
" <tr>\n",
" <th>origin_peak_wind_gust</th>\n",
" <td>96.385729</td>\n",
" </tr>\n",
" <tr>\n",
" <th>origin_peak_wind_drct</th>\n",
" <td>96.385729</td>\n",
" </tr>\n",
" <tr>\n",
" <th>origin_peak_wind_time</th>\n",
" <td>96.385729</td>\n",
" </tr>\n",
" <tr>\n",
" <th>origin_feel</th>\n",
" <td>0.041826</td>\n",
" </tr>\n",
" <tr>\n",
" <th>origin_snowdepth</th>\n",
" <td>99.998720</td>\n",
" </tr>\n",
" <tr>\n",
" <th>destination_tmpf</th>\n",
" <td>0.019515</td>\n",
" </tr>\n",
" <tr>\n",
" <th>destination_dwpf</th>\n",
" <td>0.026545</td>\n",
" </tr>\n",
" <tr>\n",
" <th>destination_relh</th>\n",
" <td>0.026820</td>\n",
" </tr>\n",
" <tr>\n",
" <th>destination_drct</th>\n",
" <td>3.888087</td>\n",
" </tr>\n",
" <tr>\n",
" <th>destination_sknt</th>\n",
" <td>0.161139</td>\n",
" </tr>\n",
" <tr>\n",
" <th>destination_p01i</th>\n",
" <td>0.121401</td>\n",
" </tr>\n",
" <tr>\n",
" <th>destination_alti</th>\n",
" <td>0.008881</td>\n",
" </tr>\n",
" <tr>\n",
" <th>destination_mslp</th>\n",
" <td>8.022027</td>\n",
" </tr>\n",
" <tr>\n",
" <th>destination_vsby</th>\n",
" <td>0.016581</td>\n",
" </tr>\n",
" <tr>\n",
" <th>destination_gust</th>\n",
" <td>86.981429</td>\n",
" </tr>\n",
" <tr>\n",
" <th>destination_skyc1</th>\n",
" <td>0.019987</td>\n",
" </tr>\n",
" <tr>\n",
" <th>destination_skyc2</th>\n",
" <td>46.042164</td>\n",
" </tr>\n",
" <tr>\n",
" <th>destination_skyc3</th>\n",
" <td>74.678362</td>\n",
" </tr>\n",
" <tr>\n",
" <th>destination_skyc4</th>\n",
" <td>95.662879</td>\n",
" </tr>\n",
" <tr>\n",
" <th>destination_skyl1</th>\n",
" <td>13.694811</td>\n",
" </tr>\n",
" <tr>\n",
" <th>destination_skyl2</th>\n",
" <td>46.042223</td>\n",
" </tr>\n",
" <tr>\n",
" <th>destination_skyl3</th>\n",
" <td>74.679032</td>\n",
" </tr>\n",
" <tr>\n",
" <th>destination_skyl4</th>\n",
" <td>95.662879</td>\n",
" </tr>\n",
" <tr>\n",
" <th>destination_wxcodes</th>\n",
" <td>88.691946</td>\n",
" </tr>\n",
" <tr>\n",
" <th>destination_ice_accretion_1hr</th>\n",
" <td>99.830059</td>\n",
" </tr>\n",
" <tr>\n",
" <th>destination_ice_accretion_3hr</th>\n",
" <td>99.960833</td>\n",
" </tr>\n",
" <tr>\n",
" <th>destination_ice_accretion_6hr</th>\n",
" <td>99.944646</td>\n",
" </tr>\n",
" <tr>\n",
" <th>destination_peak_wind_gust</th>\n",
" <td>96.308970</td>\n",
" </tr>\n",
" <tr>\n",
" <th>destination_peak_wind_drct</th>\n",
" <td>96.308970</td>\n",
" </tr>\n",
" <tr>\n",
" <th>destination_peak_wind_time</th>\n",
" <td>96.308970</td>\n",
" </tr>\n",
" <tr>\n",
" <th>destination_feel</th>\n",
" <td>0.043165</td>\n",
" </tr>\n",
" <tr>\n",
" <th>destination_snowdepth</th>\n",
" <td>99.998661</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div><br><label><b>dtype:</b> float64</label>"
]
},
"metadata": {},
"execution_count": 7
}
]
},
{
"cell_type": "markdown",
"source": [
"We can see several columns that have considerable amounts of missing values. We can drop some of these columns, since they won't be helpful with so many missing values. Justification for dropping each column is noted in the comment on each line."
],
"metadata": {
"id": "erBbas93hjRG"
}
},
{
"cell_type": "code",
"source": [
"flights.drop(['origin_gust', # Most rows do not have a wind gust\n",
" 'origin_skyc2', # Most rows do not report a 2nd level of clouds in the sky\n",
" 'origin_skyc3', # Most rows do not report a 3rd level of clouds in the sky\n",
" 'origin_skyc4', # Most rows do not report a 4th level of clouds in the sky\n",
" 'origin_skyl2', # Most rows do not report the altitude of a 2nd level of clouds in the sky\n",
" 'origin_skyl3', # Most rows do not report the altitude of a 3rd level of clouds in the sky\n",
" 'origin_skyl4', # Most rows do not report the altitude of a 4th level of clouds in the sky\n",
" 'origin_ice_accretion_1hr', # Vast majority of rows do not report ice accretion\n",
" 'origin_ice_accretion_3hr', # Vast majority of rows do not report ice accretion\n",
" 'origin_ice_accretion_6hr', # Vast majority of rows do not report ice accretion\n",
" 'origin_peak_wind_gust', # Most rows do not report a peak wind gust\n",
" 'origin_peak_wind_drct', # Most rows do not report a peak wind gust\n",
" 'origin_peak_wind_time', # Most rows do not report a peak wind gust\n",
" 'origin_snowdepth', # The vast majority of reports do not include snow depth\n",
" 'destination_gust', # Most rows do not have a wind gust\n",
" 'destination_skyc2', # Most rows do not report a 2nd level of clouds in the sky\n",
" 'destination_skyc3', # Most rows do not report a 3rd level of clouds in the sky\n",
" 'destination_skyc4', # Most rows do not report a 4th level of clouds in the sky\n",
" 'destination_skyl2', # Most rows do not report the altitude of a 2nd level of clouds in the sky\n",
" 'destination_skyl3', # Most rows do not report the altitude of a 3rd level of clouds in the sky\n",
" 'destination_skyl4', # Most rows do not report the altitude of a 4th level of clouds in the sky\n",
" 'destination_ice_accretion_1hr', # Vast majority of rows do not report ice accretion\n",
" 'destination_ice_accretion_3hr', # Vast majority of rows do not report ice accretion\n",
" 'destination_ice_accretion_6hr', # Vast majority of rows do not report ice accretion\n",
" 'destination_peak_wind_gust', # Most rows do not report a peak wind gust\n",
" 'destination_peak_wind_drct', # Most rows do not report a peak wind gust\n",
" 'destination_peak_wind_time', # Most rows do not report a peak wind gust\n",
" 'destination_snowdepth' # The vast majority of reports do not include snow depth\n",
" ], axis=1, inplace=True)"
],
"metadata": {
"id": "KQKAbLHciGb3"
},
"execution_count": 8,
"outputs": []
},
{
"cell_type": "code",
"source": [
"flights.head()"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 313
},
"id": "Hj_PJUzPquyG",
"outputId": "8e53daf9-7114-4764-9024-dbaaa01fd2d2"
},
"execution_count": 9,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
" DAY_OF_WEEK AIRLINE FLIGHT_NUMBER TAIL_NUMBER ORIGIN_AIRPORT \\\n",
"0 4 NK 647 N630NK IAG \n",
"1 4 NK 451 N633NK PBG \n",
"2 4 DL 2336 N958DN DEN \n",
"3 4 NK 597 N528NK MSP \n",
"4 4 AA 2459 N3BDAA PHX \n",
"\n",
" DESTINATION_AIRPORT SCHEDULED_TIME DISTANCE DIVERTED CANCELLED \\\n",
"0 FLL 184.0 1176 0 0 \n",
"1 FLL 208.0 1334 0 0 \n",
"2 ATL 173.0 1199 0 0 \n",
"3 FLL 207.0 1487 0 0 \n",
"4 DFW 120.0 868 0 1 \n",
"\n",
" WEATHER_DELAY origin_latitude origin_longitude origin_elevation \\\n",
"0 NaN 43.107487 -78.950868 570 \n",
"1 NaN 44.668928 -73.471938 206 \n",
"2 NaN 39.860668 -104.685367 5347 \n",
"3 0.0 44.878019 -93.220928 803 \n",
"4 NaN 33.432891 -112.009422 1112 \n",
"\n",
" origin_state destination_latitude destination_longitude \\\n",
"0 New York 26.072017 -80.150997 \n",
"1 New York 26.072017 -80.150997 \n",
"2 Colorado 33.637799 -84.429271 \n",
"3 Minnesota 26.072017 -80.150997 \n",
"4 Arizona 32.896519 -97.046522 \n",
"\n",
" destination_elevation destination_state SCHEDULED_DEPARTURE_tz_aware \\\n",
"0 45 NaN 2015-01-01 02:00:00-05:00 \n",
"1 45 NaN 2015-01-01 01:55:00-05:00 \n",
"2 1049 NaN 2015-01-01 00:30:00-07:00 \n",
"3 45 NaN 2015-01-01 01:15:00-06:00 \n",
"4 574 Texas 2015-01-01 02:00:00-07:00 \n",
"\n",
" SCHEDULED_ARRIVAL_tz_aware SCHEDULED_DEPARTURE_UTC \\\n",
"0 2015-01-01 05:04:00-05:00 2015-01-01 07:00:00+00:00 \n",
"1 2015-01-01 05:23:00-05:00 2015-01-01 06:55:00+00:00 \n",
"2 2015-01-01 05:23:00-05:00 2015-01-01 07:30:00+00:00 \n",
"3 2015-01-01 05:42:00-05:00 2015-01-01 07:15:00+00:00 \n",
"4 2015-01-01 05:00:00-06:00 2015-01-01 09:00:00+00:00 \n",
"\n",
" SCHEDULED_ARRIVAL_UTC origin_tmpf origin_dwpf origin_relh \\\n",
"0 2015-01-01 10:04:00+00:00 19.0 5.0 53.71 \n",
"1 2015-01-01 10:23:00+00:00 19.0 8.0 61.72 \n",
"2 2015-01-01 10:23:00+00:00 7.0 -8.0 49.52 \n",
"3 2015-01-01 10:42:00+00:00 11.0 5.0 76.49 \n",
"4 2015-01-01 11:00:00+00:00 37.0 31.0 78.31 \n",
"\n",
" origin_drct origin_sknt origin_p01i origin_alti origin_mslp \\\n",
"0 250.0 16.0 0.0 29.98 1017.2 \n",
"1 190.0 4.0 0.0 29.92 1013.5 \n",
"2 170.0 13.0 0.0 30.06 1023.2 \n",
"3 240.0 9.0 0.0 29.92 1015.1 \n",
"4 300.0 4.0 0.0 30.03 1016.9 \n",
"\n",
" origin_vsby origin_skyc1 origin_skyl1 origin_wxcodes origin_feel \\\n",
"0 10.0 FEW 5500.0 NaN 3.53 \n",
"1 10.0 BKN 5000.0 NaN 12.29 \n",
"2 10.0 CLR NaN NaN -10.49 \n",
"3 10.0 OVC 17000.0 NaN -2.67 \n",
"4 10.0 SCT 2000.0 NaN 33.31 \n",
"\n",
" destination_tmpf destination_dwpf destination_relh destination_drct \\\n",
"0 71.0 70.0 96.39 360.0 \n",
"1 71.0 70.0 96.39 360.0 \n",
"2 33.0 26.0 75.11 310.0 \n",
"3 71.0 71.0 100.00 10.0 \n",
"4 33.0 25.0 71.82 350.0 \n",
"\n",
" destination_sknt destination_p01i destination_alti destination_mslp \\\n",
"0 3.0 0.0000 30.13 1020.1 \n",
"1 3.0 0.0000 30.13 1020.1 \n",
"2 3.0 0.0000 30.30 1026.8 \n",
"3 3.0 0.0000 30.14 1020.7 \n",
"4 7.0 0.0001 30.33 1027.5 \n",
"\n",
" destination_vsby destination_skyc1 destination_skyl1 destination_wxcodes \\\n",
"0 5.0 SCT 1900.0 BR \n",
"1 5.0 SCT 1900.0 BR \n",
"2 10.0 FEW 25000.0 NaN \n",
"3 7.0 SCT 1700.0 NaN \n",
"4 10.0 OVC 4300.0 NaN \n",
"\n",
" destination_feel \n",
"0 72.40 \n",
"1 72.40 \n",
"2 29.92 \n",
"3 72.57 \n",
"4 26.10 "
],
"text/html": [
"\n",
" <div id=\"df-086aedd8-8db8-4979-954a-59504a0b0fe3\" class=\"colab-df-container\">\n",
" <div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>DAY_OF_WEEK</th>\n",
" <th>AIRLINE</th>\n",
" <th>FLIGHT_NUMBER</th>\n",
" <th>TAIL_NUMBER</th>\n",
" <th>ORIGIN_AIRPORT</th>\n",
" <th>DESTINATION_AIRPORT</th>\n",
" <th>SCHEDULED_TIME</th>\n",
" <th>DISTANCE</th>\n",
" <th>DIVERTED</th>\n",
" <th>CANCELLED</th>\n",
" <th>WEATHER_DELAY</th>\n",
" <th>origin_latitude</th>\n",
" <th>origin_longitude</th>\n",
" <th>origin_elevation</th>\n",
" <th>origin_state</th>\n",
" <th>destination_latitude</th>\n",
" <th>destination_longitude</th>\n",
" <th>destination_elevation</th>\n",
" <th>destination_state</th>\n",
" <th>SCHEDULED_DEPARTURE_tz_aware</th>\n",
" <th>SCHEDULED_ARRIVAL_tz_aware</th>\n",
" <th>SCHEDULED_DEPARTURE_UTC</th>\n",
" <th>SCHEDULED_ARRIVAL_UTC</th>\n",
" <th>origin_tmpf</th>\n",
" <th>origin_dwpf</th>\n",
" <th>origin_relh</th>\n",
" <th>origin_drct</th>\n",
" <th>origin_sknt</th>\n",
" <th>origin_p01i</th>\n",
" <th>origin_alti</th>\n",
" <th>origin_mslp</th>\n",
" <th>origin_vsby</th>\n",
" <th>origin_skyc1</th>\n",
" <th>origin_skyl1</th>\n",
" <th>origin_wxcodes</th>\n",
" <th>origin_feel</th>\n",
" <th>destination_tmpf</th>\n",
" <th>destination_dwpf</th>\n",
" <th>destination_relh</th>\n",
" <th>destination_drct</th>\n",
" <th>destination_sknt</th>\n",
" <th>destination_p01i</th>\n",
" <th>destination_alti</th>\n",
" <th>destination_mslp</th>\n",
" <th>destination_vsby</th>\n",
" <th>destination_skyc1</th>\n",
" <th>destination_skyl1</th>\n",
" <th>destination_wxcodes</th>\n",
" <th>destination_feel</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>4</td>\n",
" <td>NK</td>\n",
" <td>647</td>\n",
" <td>N630NK</td>\n",
" <td>IAG</td>\n",
" <td>FLL</td>\n",
" <td>184.0</td>\n",
" <td>1176</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>NaN</td>\n",
" <td>43.107487</td>\n",
" <td>-78.950868</td>\n",
" <td>570</td>\n",
" <td>New York</td>\n",
" <td>26.072017</td>\n",
" <td>-80.150997</td>\n",
" <td>45</td>\n",
" <td>NaN</td>\n",
" <td>2015-01-01 02:00:00-05:00</td>\n",
" <td>2015-01-01 05:04:00-05:00</td>\n",
" <td>2015-01-01 07:00:00+00:00</td>\n",
" <td>2015-01-01 10:04:00+00:00</td>\n",
" <td>19.0</td>\n",
" <td>5.0</td>\n",
" <td>53.71</td>\n",
" <td>250.0</td>\n",
" <td>16.0</td>\n",
" <td>0.0</td>\n",
" <td>29.98</td>\n",
" <td>1017.2</td>\n",
" <td>10.0</td>\n",
" <td>FEW</td>\n",
" <td>5500.0</td>\n",
" <td>NaN</td>\n",
" <td>3.53</td>\n",
" <td>71.0</td>\n",
" <td>70.0</td>\n",
" <td>96.39</td>\n",
" <td>360.0</td>\n",
" <td>3.0</td>\n",
" <td>0.0000</td>\n",
" <td>30.13</td>\n",
" <td>1020.1</td>\n",
" <td>5.0</td>\n",
" <td>SCT</td>\n",
" <td>1900.0</td>\n",
" <td>BR</td>\n",
" <td>72.40</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>4</td>\n",
" <td>NK</td>\n",
" <td>451</td>\n",
" <td>N633NK</td>\n",
" <td>PBG</td>\n",
" <td>FLL</td>\n",
" <td>208.0</td>\n",
" <td>1334</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>NaN</td>\n",
" <td>44.668928</td>\n",
" <td>-73.471938</td>\n",
" <td>206</td>\n",
" <td>New York</td>\n",
" <td>26.072017</td>\n",
" <td>-80.150997</td>\n",
" <td>45</td>\n",
" <td>NaN</td>\n",
" <td>2015-01-01 01:55:00-05:00</td>\n",
" <td>2015-01-01 05:23:00-05:00</td>\n",
" <td>2015-01-01 06:55:00+00:00</td>\n",
" <td>2015-01-01 10:23:00+00:00</td>\n",
" <td>19.0</td>\n",
" <td>8.0</td>\n",
" <td>61.72</td>\n",
" <td>190.0</td>\n",
" <td>4.0</td>\n",
" <td>0.0</td>\n",
" <td>29.92</td>\n",
" <td>1013.5</td>\n",
" <td>10.0</td>\n",
" <td>BKN</td>\n",
" <td>5000.0</td>\n",
" <td>NaN</td>\n",
" <td>12.29</td>\n",
" <td>71.0</td>\n",
" <td>70.0</td>\n",
" <td>96.39</td>\n",
" <td>360.0</td>\n",
" <td>3.0</td>\n",
" <td>0.0000</td>\n",
" <td>30.13</td>\n",
" <td>1020.1</td>\n",
" <td>5.0</td>\n",
" <td>SCT</td>\n",
" <td>1900.0</td>\n",
" <td>BR</td>\n",
" <td>72.40</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>4</td>\n",
" <td>DL</td>\n",
" <td>2336</td>\n",
" <td>N958DN</td>\n",
" <td>DEN</td>\n",
" <td>ATL</td>\n",
" <td>173.0</td>\n",
" <td>1199</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>NaN</td>\n",
" <td>39.860668</td>\n",
" <td>-104.685367</td>\n",
" <td>5347</td>\n",
" <td>Colorado</td>\n",
" <td>33.637799</td>\n",
" <td>-84.429271</td>\n",
" <td>1049</td>\n",
" <td>NaN</td>\n",
" <td>2015-01-01 00:30:00-07:00</td>\n",
" <td>2015-01-01 05:23:00-05:00</td>\n",
" <td>2015-01-01 07:30:00+00:00</td>\n",
" <td>2015-01-01 10:23:00+00:00</td>\n",
" <td>7.0</td>\n",
" <td>-8.0</td>\n",
" <td>49.52</td>\n",
" <td>170.0</td>\n",
" <td>13.0</td>\n",
" <td>0.0</td>\n",
" <td>30.06</td>\n",
" <td>1023.2</td>\n",
" <td>10.0</td>\n",
" <td>CLR</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>-10.49</td>\n",
" <td>33.0</td>\n",
" <td>26.0</td>\n",
" <td>75.11</td>\n",
" <td>310.0</td>\n",
" <td>3.0</td>\n",
" <td>0.0000</td>\n",
" <td>30.30</td>\n",
" <td>1026.8</td>\n",
" <td>10.0</td>\n",
" <td>FEW</td>\n",
" <td>25000.0</td>\n",
" <td>NaN</td>\n",
" <td>29.92</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>4</td>\n",
" <td>NK</td>\n",
" <td>597</td>\n",
" <td>N528NK</td>\n",
" <td>MSP</td>\n",
" <td>FLL</td>\n",
" <td>207.0</td>\n",
" <td>1487</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0.0</td>\n",
" <td>44.878019</td>\n",
" <td>-93.220928</td>\n",
" <td>803</td>\n",
" <td>Minnesota</td>\n",
" <td>26.072017</td>\n",
" <td>-80.150997</td>\n",
" <td>45</td>\n",
" <td>NaN</td>\n",
" <td>2015-01-01 01:15:00-06:00</td>\n",
" <td>2015-01-01 05:42:00-05:00</td>\n",
" <td>2015-01-01 07:15:00+00:00</td>\n",
" <td>2015-01-01 10:42:00+00:00</td>\n",
" <td>11.0</td>\n",
" <td>5.0</td>\n",
" <td>76.49</td>\n",
" <td>240.0</td>\n",
" <td>9.0</td>\n",
" <td>0.0</td>\n",
" <td>29.92</td>\n",
" <td>1015.1</td>\n",
" <td>10.0</td>\n",
" <td>OVC</td>\n",
" <td>17000.0</td>\n",
" <td>NaN</td>\n",
" <td>-2.67</td>\n",
" <td>71.0</td>\n",
" <td>71.0</td>\n",
" <td>100.00</td>\n",
" <td>10.0</td>\n",
" <td>3.0</td>\n",
" <td>0.0000</td>\n",
" <td>30.14</td>\n",
" <td>1020.7</td>\n",
" <td>7.0</td>\n",
" <td>SCT</td>\n",
" <td>1700.0</td>\n",
" <td>NaN</td>\n",
" <td>72.57</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>4</td>\n",
" <td>AA</td>\n",
" <td>2459</td>\n",
" <td>N3BDAA</td>\n",
" <td>PHX</td>\n",
" <td>DFW</td>\n",
" <td>120.0</td>\n",
" <td>868</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>NaN</td>\n",
" <td>33.432891</td>\n",
" <td>-112.009422</td>\n",
" <td>1112</td>\n",
" <td>Arizona</td>\n",
" <td>32.896519</td>\n",
" <td>-97.046522</td>\n",
" <td>574</td>\n",
" <td>Texas</td>\n",
" <td>2015-01-01 02:00:00-07:00</td>\n",
" <td>2015-01-01 05:00:00-06:00</td>\n",
" <td>2015-01-01 09:00:00+00:00</td>\n",
" <td>2015-01-01 11:00:00+00:00</td>\n",
" <td>37.0</td>\n",
" <td>31.0</td>\n",
" <td>78.31</td>\n",
" <td>300.0</td>\n",
" <td>4.0</td>\n",
" <td>0.0</td>\n",
" <td>30.03</td>\n",
" <td>1016.9</td>\n",
" <td>10.0</td>\n",
" <td>SCT</td>\n",
" <td>2000.0</td>\n",
" <td>NaN</td>\n",
" <td>33.31</td>\n",
" <td>33.0</td>\n",
" <td>25.0</td>\n",
" <td>71.82</td>\n",
" <td>350.0</td>\n",
" <td>7.0</td>\n",
" <td>0.0001</td>\n",
" <td>30.33</td>\n",
" <td>1027.5</td>\n",
" <td>10.0</td>\n",
" <td>OVC</td>\n",
" <td>4300.0</td>\n",
" <td>NaN</td>\n",
" <td>26.10</td>\n",
" </tr>\n",
" </tbody>\n",
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],
"application/vnd.google.colaboratory.intrinsic+json": {
"type": "dataframe",
"variable_name": "flights"
}
},
"metadata": {},
"execution_count": 9
}
]
},
{
"cell_type": "markdown",
"source": [
"Recall that `WEATHER_DELAY` is our target column, but it has a significant portion of missing values. That's because when there's no weather-driven flight delay, the entry is left blank. We need to fill those in with zeroes."
],
"metadata": {
"id": "LS52F92GiruY"
}
},
{
"cell_type": "code",
"source": [
"flights['WEATHER_DELAY'] = flights['WEATHER_DELAY'].fillna(0)"
],
"metadata": {
"id": "Z8dv3F7Rir9Y"
},
"execution_count": 10,
"outputs": []
},
{
"cell_type": "markdown",
"source": [
"We're trying to predict flight delays, but some flights were cancelled or diverted instead. If the flight did not take off or land at the scheduled locations, our weather information is not going to be useful. Therefore, we want to drop any flights that were cancelled or diverted."
],
"metadata": {
"id": "0jgj6zMcTEi5"
}
},
{
"cell_type": "code",
"source": [
"flights = flights[(flights['CANCELLED'] == 0) & (flights['DIVERTED'] == 0)]"
],
"metadata": {
"id": "CP2lDGXnTKiq"
},
"execution_count": 11,
"outputs": []
},
{
"cell_type": "markdown",
"source": [
"We can also drop the columns that denoted cancelled and diverted flights."
],
"metadata": {
"id": "Jr-R1V8ws7Wo"
}
},
{
"cell_type": "code",
"source": [
"flights = flights.drop(['CANCELLED', 'DIVERTED'], axis=1)"
],
"metadata": {
"collapsed": true,
"id": "uvGJd3mss_WR"
},
"execution_count": 12,
"outputs": []
},
{
"cell_type": "markdown",
"source": [
"We need to make sure our remaining columns are the right type. Namely, our datetime columns need to have datetime as their type."
],
"metadata": {
"id": "xIjt1FZuJYN4"
}
},
{
"cell_type": "code",
"source": [
"time_columns = ['SCHEDULED_DEPARTURE_UTC', 'SCHEDULED_ARRIVAL_UTC']\n",
"for col in time_columns:\n",
" flights[col] = pd.to_datetime(flights[col])"
],
"metadata": {
"id": "Nkz4k5WkJz3I"
},
"execution_count": 13,
"outputs": []
},
{
"cell_type": "markdown",
"source": [
"Let's make sure there's no duplicate rows in the dataset that we need to handle."
],
"metadata": {
"id": "M528feAXNukd"
}
},
{
"cell_type": "code",
"source": [
"sum(flights.duplicated())"
],
"metadata": {
"id": "B3Mv4h-hN0GF",
"colab": {
"base_uri": "https://localhost:8080/"
},
"outputId": "6ddf8a28-2a3c-4284-b7fa-a72c68e387ad"
},
"execution_count": 14,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"0"
]
},
"metadata": {},
"execution_count": 14
}
]
},
{
"cell_type": "markdown",
"source": [
"Of particular interest are the weather codes, which tell us about visual weather conditions on the ground, such as mist (BR), rain (RA), snow (SN), thunderstorm (TS), smoke (FU), haze (HZ), etc. These can be really useful for predicting delays. However, the format of this column is not ideal. Here are frequencies of the unique values in this column:"
],
"metadata": {
"id": "jLP1NIqXhQ_u"
}
},
{
"cell_type": "code",
"source": [
"flights['origin_wxcodes'].value_counts()"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 490
},
"id": "jqrrTXpdhSzN",
"outputId": "e0db1881-6fdb-4054-fd9a-f98eed013216"
},
"execution_count": 15,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"origin_wxcodes\n",
"BR 136297\n",
"-RA 128720\n",
"-RA BR 69488\n",
"HZ 37194\n",
"-SN 30011\n",
" ... \n",
"+VCTSRA BR 1\n",
"FG MIFG 1\n",
"BCFG FG BR 1\n",
"SHSN SN 1\n",
"+SN FG BLSN 1\n",
"Name: count, Length: 353, dtype: int64"
],
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
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" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>count</th>\n",
" </tr>\n",
" <tr>\n",
" <th>origin_wxcodes</th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>BR</th>\n",
" <td>136297</td>\n",
" </tr>\n",
" <tr>\n",
" <th>-RA</th>\n",
" <td>128720</td>\n",
" </tr>\n",
" <tr>\n",
" <th>-RA BR</th>\n",
" <td>69488</td>\n",
" </tr>\n",
" <tr>\n",
" <th>HZ</th>\n",
" <td>37194</td>\n",
" </tr>\n",
" <tr>\n",
" <th>-SN</th>\n",
" <td>30011</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>+VCTSRA BR</th>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>FG MIFG</th>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>BCFG FG BR</th>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>SHSN SN</th>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>+SN FG BLSN</th>\n",
" <td>1</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>353 rows × 1 columns</p>\n",
"</div><br><label><b>dtype:</b> int64</label>"
]
},
"metadata": {},
"execution_count": 15
}
]
},
{
"cell_type": "markdown",
"source": [
"Let's create binary columns that indicate whether certain conditions are present in the weather codes column."
],
"metadata": {
"id": "PPEo43CmCkAh"
}
},
{
"cell_type": "code",
"source": [
"for location in ['origin', 'destination']:\n",
" flights.loc[:, f'{location}_BR_code'] = flights[f'{location}_wxcodes'].str.contains('BR', na=False) # BR = mist\n",
" flights.loc[:, f'{location}_SN_code'] = flights[f'{location}_wxcodes'].str.contains('SN', na=False) # SN = snow\n",
" flights.loc[:, f'{location}_RA_code'] = flights[f'{location}_wxcodes'].str.contains('RA', na=False) # RA = rain\n",
" flights.loc[:, f'{location}_HZ_code'] = flights[f'{location}_wxcodes'].str.contains('HZ', na=False) # HZ = haze\n",
" flights.loc[:, f'{location}_FG_code'] = flights[f'{location}_wxcodes'].str.contains('FG', na=False) # FG = fog\n",
" flights.loc[:, f'{location}_FZ_code'] = flights[f'{location}_wxcodes'].str.contains('FZ', na=False) # FZ = freezing precipitation\n",
" flights.loc[:, f'{location}_PL_code'] = flights[f'{location}_wxcodes'].str.contains('PL', na=False) # PL = ice pellets\n",
" flights.loc[:, f'{location}_TS_code'] = flights[f'{location}_wxcodes'].str.contains('TS', na=False) # TS = thunderstorm"
],
"metadata": {
"id": "Vw6kBU9fCqLR"
},
"execution_count": 16,
"outputs": []
},
{
"cell_type": "code",
"source": [
"flights.head()"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 313
},
"id": "JjvYpQAfFD8D",
"outputId": "71e88d68-5dba-4ff9-f384-f0eed12928a6"
},
"execution_count": 17,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
" DAY_OF_WEEK AIRLINE FLIGHT_NUMBER TAIL_NUMBER ORIGIN_AIRPORT \\\n",
"0 4 NK 647 N630NK IAG \n",
"1 4 NK 451 N633NK PBG \n",
"2 4 DL 2336 N958DN DEN \n",
"3 4 NK 597 N528NK MSP \n",
"5 4 NK 972 N606NK PHX \n",
"\n",
" DESTINATION_AIRPORT SCHEDULED_TIME DISTANCE WEATHER_DELAY \\\n",
"0 FLL 184.0 1176 0.0 \n",
"1 FLL 208.0 1334 0.0 \n",
"2 ATL 173.0 1199 0.0 \n",
"3 FLL 207.0 1487 0.0 \n",
"5 DFW 123.0 868 0.0 \n",
"\n",
" origin_latitude origin_longitude origin_elevation origin_state \\\n",
"0 43.107487 -78.950868 570 New York \n",
"1 44.668928 -73.471938 206 New York \n",
"2 39.860668 -104.685367 5347 Colorado \n",
"3 44.878019 -93.220928 803 Minnesota \n",
"5 33.432891 -112.009422 1112 Arizona \n",
"\n",
" destination_latitude destination_longitude destination_elevation \\\n",
"0 26.072017 -80.150997 45 \n",
"1 26.072017 -80.150997 45 \n",
"2 33.637799 -84.429271 1049 \n",
"3 26.072017 -80.150997 45 \n",
"5 32.896519 -97.046522 574 \n",
"\n",
" destination_state SCHEDULED_DEPARTURE_tz_aware SCHEDULED_ARRIVAL_tz_aware \\\n",
"0 NaN 2015-01-01 02:00:00-05:00 2015-01-01 05:04:00-05:00 \n",
"1 NaN 2015-01-01 01:55:00-05:00 2015-01-01 05:23:00-05:00 \n",
"2 NaN 2015-01-01 00:30:00-07:00 2015-01-01 05:23:00-05:00 \n",
"3 NaN 2015-01-01 01:15:00-06:00 2015-01-01 05:42:00-05:00 \n",
"5 Texas 2015-01-01 01:59:00-07:00 2015-01-01 05:02:00-06:00 \n",
"\n",
" SCHEDULED_DEPARTURE_UTC SCHEDULED_ARRIVAL_UTC origin_tmpf \\\n",
"0 2015-01-01 07:00:00+00:00 2015-01-01 10:04:00+00:00 19.0 \n",
"1 2015-01-01 06:55:00+00:00 2015-01-01 10:23:00+00:00 19.0 \n",
"2 2015-01-01 07:30:00+00:00 2015-01-01 10:23:00+00:00 7.0 \n",
"3 2015-01-01 07:15:00+00:00 2015-01-01 10:42:00+00:00 11.0 \n",
"5 2015-01-01 08:59:00+00:00 2015-01-01 11:02:00+00:00 37.0 \n",
"\n",
" origin_dwpf origin_relh origin_drct origin_sknt origin_p01i \\\n",
"0 5.0 53.71 250.0 16.0 0.0 \n",
"1 8.0 61.72 190.0 4.0 0.0 \n",
"2 -8.0 49.52 170.0 13.0 0.0 \n",
"3 5.0 76.49 240.0 9.0 0.0 \n",
"5 31.0 78.31 300.0 4.0 0.0 \n",
"\n",
" origin_alti origin_mslp origin_vsby origin_skyc1 origin_skyl1 \\\n",
"0 29.98 1017.2 10.0 FEW 5500.0 \n",
"1 29.92 1013.5 10.0 BKN 5000.0 \n",
"2 30.06 1023.2 10.0 CLR NaN \n",
"3 29.92 1015.1 10.0 OVC 17000.0 \n",
"5 30.03 1016.9 10.0 SCT 2000.0 \n",
"\n",
" origin_wxcodes origin_feel destination_tmpf destination_dwpf \\\n",
"0 NaN 3.53 71.0 70.0 \n",
"1 NaN 12.29 71.0 70.0 \n",
"2 NaN -10.49 33.0 26.0 \n",
"3 NaN -2.67 71.0 71.0 \n",
"5 NaN 33.31 33.0 25.0 \n",
"\n",
" destination_relh destination_drct destination_sknt destination_p01i \\\n",
"0 96.39 360.0 3.0 0.0000 \n",
"1 96.39 360.0 3.0 0.0000 \n",
"2 75.11 310.0 3.0 0.0000 \n",
"3 100.00 10.0 3.0 0.0000 \n",
"5 71.82 350.0 7.0 0.0001 \n",
"\n",
" destination_alti destination_mslp destination_vsby destination_skyc1 \\\n",
"0 30.13 1020.1 5.0 SCT \n",
"1 30.13 1020.1 5.0 SCT \n",
"2 30.30 1026.8 10.0 FEW \n",
"3 30.14 1020.7 7.0 SCT \n",
"5 30.33 1027.5 10.0 OVC \n",
"\n",
" destination_skyl1 destination_wxcodes destination_feel origin_BR_code \\\n",
"0 1900.0 BR 72.40 False \n",
"1 1900.0 BR 72.40 False \n",
"2 25000.0 NaN 29.92 False \n",
"3 1700.0 NaN 72.57 False \n",
"5 4300.0 NaN 26.10 False \n",
"\n",
" origin_SN_code origin_RA_code origin_HZ_code origin_FG_code \\\n",
"0 False False False False \n",
"1 False False False False \n",
"2 False False False False \n",
"3 False False False False \n",
"5 False False False False \n",
"\n",
" origin_FZ_code origin_PL_code origin_TS_code destination_BR_code \\\n",
"0 False False False True \n",
"1 False False False True \n",
"2 False False False False \n",
"3 False False False False \n",
"5 False False False False \n",
"\n",
" destination_SN_code destination_RA_code destination_HZ_code \\\n",
"0 False False False \n",
"1 False False False \n",
"2 False False False \n",
"3 False False False \n",
"5 False False False \n",
"\n",
" destination_FG_code destination_FZ_code destination_PL_code \\\n",
"0 False False False \n",
"1 False False False \n",
"2 False False False \n",
"3 False False False \n",
"5 False False False \n",
"\n",
" destination_TS_code \n",
"0 False \n",
"1 False \n",
"2 False \n",
"3 False \n",
"5 False "
],
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"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>DAY_OF_WEEK</th>\n",
" <th>AIRLINE</th>\n",
" <th>FLIGHT_NUMBER</th>\n",
" <th>TAIL_NUMBER</th>\n",
" <th>ORIGIN_AIRPORT</th>\n",
" <th>DESTINATION_AIRPORT</th>\n",
" <th>SCHEDULED_TIME</th>\n",
" <th>DISTANCE</th>\n",
" <th>WEATHER_DELAY</th>\n",
" <th>origin_latitude</th>\n",
" <th>origin_longitude</th>\n",
" <th>origin_elevation</th>\n",
" <th>origin_state</th>\n",
" <th>destination_latitude</th>\n",
" <th>destination_longitude</th>\n",
" <th>destination_elevation</th>\n",
" <th>destination_state</th>\n",
" <th>SCHEDULED_DEPARTURE_tz_aware</th>\n",
" <th>SCHEDULED_ARRIVAL_tz_aware</th>\n",
" <th>SCHEDULED_DEPARTURE_UTC</th>\n",
" <th>SCHEDULED_ARRIVAL_UTC</th>\n",
" <th>origin_tmpf</th>\n",
" <th>origin_dwpf</th>\n",
" <th>origin_relh</th>\n",
" <th>origin_drct</th>\n",
" <th>origin_sknt</th>\n",
" <th>origin_p01i</th>\n",
" <th>origin_alti</th>\n",
" <th>origin_mslp</th>\n",
" <th>origin_vsby</th>\n",
" <th>origin_skyc1</th>\n",
" <th>origin_skyl1</th>\n",
" <th>origin_wxcodes</th>\n",
" <th>origin_feel</th>\n",
" <th>destination_tmpf</th>\n",
" <th>destination_dwpf</th>\n",
" <th>destination_relh</th>\n",
" <th>destination_drct</th>\n",
" <th>destination_sknt</th>\n",
" <th>destination_p01i</th>\n",
" <th>destination_alti</th>\n",
" <th>destination_mslp</th>\n",
" <th>destination_vsby</th>\n",
" <th>destination_skyc1</th>\n",
" <th>destination_skyl1</th>\n",
" <th>destination_wxcodes</th>\n",
" <th>destination_feel</th>\n",
" <th>origin_BR_code</th>\n",
" <th>origin_SN_code</th>\n",
" <th>origin_RA_code</th>\n",
" <th>origin_HZ_code</th>\n",
" <th>origin_FG_code</th>\n",
" <th>origin_FZ_code</th>\n",
" <th>origin_PL_code</th>\n",
" <th>origin_TS_code</th>\n",
" <th>destination_BR_code</th>\n",
" <th>destination_SN_code</th>\n",
" <th>destination_RA_code</th>\n",
" <th>destination_HZ_code</th>\n",
" <th>destination_FG_code</th>\n",
" <th>destination_FZ_code</th>\n",
" <th>destination_PL_code</th>\n",
" <th>destination_TS_code</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>4</td>\n",
" <td>NK</td>\n",
" <td>647</td>\n",
" <td>N630NK</td>\n",
" <td>IAG</td>\n",
" <td>FLL</td>\n",
" <td>184.0</td>\n",
" <td>1176</td>\n",
" <td>0.0</td>\n",
" <td>43.107487</td>\n",
" <td>-78.950868</td>\n",
" <td>570</td>\n",
" <td>New York</td>\n",
" <td>26.072017</td>\n",
" <td>-80.150997</td>\n",
" <td>45</td>\n",
" <td>NaN</td>\n",
" <td>2015-01-01 02:00:00-05:00</td>\n",
" <td>2015-01-01 05:04:00-05:00</td>\n",
" <td>2015-01-01 07:00:00+00:00</td>\n",
" <td>2015-01-01 10:04:00+00:00</td>\n",
" <td>19.0</td>\n",
" <td>5.0</td>\n",
" <td>53.71</td>\n",
" <td>250.0</td>\n",
" <td>16.0</td>\n",
" <td>0.0</td>\n",
" <td>29.98</td>\n",
" <td>1017.2</td>\n",
" <td>10.0</td>\n",
" <td>FEW</td>\n",
" <td>5500.0</td>\n",
" <td>NaN</td>\n",
" <td>3.53</td>\n",
" <td>71.0</td>\n",
" <td>70.0</td>\n",
" <td>96.39</td>\n",
" <td>360.0</td>\n",
" <td>3.0</td>\n",
" <td>0.0000</td>\n",
" <td>30.13</td>\n",
" <td>1020.1</td>\n",
" <td>5.0</td>\n",
" <td>SCT</td>\n",
" <td>1900.0</td>\n",
" <td>BR</td>\n",
" <td>72.40</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>True</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>4</td>\n",
" <td>NK</td>\n",
" <td>451</td>\n",
" <td>N633NK</td>\n",
" <td>PBG</td>\n",
" <td>FLL</td>\n",
" <td>208.0</td>\n",
" <td>1334</td>\n",
" <td>0.0</td>\n",
" <td>44.668928</td>\n",
" <td>-73.471938</td>\n",
" <td>206</td>\n",
" <td>New York</td>\n",
" <td>26.072017</td>\n",
" <td>-80.150997</td>\n",
" <td>45</td>\n",
" <td>NaN</td>\n",
" <td>2015-01-01 01:55:00-05:00</td>\n",
" <td>2015-01-01 05:23:00-05:00</td>\n",
" <td>2015-01-01 06:55:00+00:00</td>\n",
" <td>2015-01-01 10:23:00+00:00</td>\n",
" <td>19.0</td>\n",
" <td>8.0</td>\n",
" <td>61.72</td>\n",
" <td>190.0</td>\n",
" <td>4.0</td>\n",
" <td>0.0</td>\n",
" <td>29.92</td>\n",
" <td>1013.5</td>\n",
" <td>10.0</td>\n",
" <td>BKN</td>\n",
" <td>5000.0</td>\n",
" <td>NaN</td>\n",
" <td>12.29</td>\n",
" <td>71.0</td>\n",
" <td>70.0</td>\n",
" <td>96.39</td>\n",
" <td>360.0</td>\n",
" <td>3.0</td>\n",
" <td>0.0000</td>\n",
" <td>30.13</td>\n",
" <td>1020.1</td>\n",
" <td>5.0</td>\n",
" <td>SCT</td>\n",
" <td>1900.0</td>\n",
" <td>BR</td>\n",
" <td>72.40</td>\n",
" <td>False</td>\n",
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" <td>False</td>\n",
" <td>False</td>\n",
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" <td>True</td>\n",
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" <td>False</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>4</td>\n",
" <td>DL</td>\n",
" <td>2336</td>\n",
" <td>N958DN</td>\n",
" <td>DEN</td>\n",
" <td>ATL</td>\n",
" <td>173.0</td>\n",
" <td>1199</td>\n",
" <td>0.0</td>\n",
" <td>39.860668</td>\n",
" <td>-104.685367</td>\n",
" <td>5347</td>\n",
" <td>Colorado</td>\n",
" <td>33.637799</td>\n",
" <td>-84.429271</td>\n",
" <td>1049</td>\n",
" <td>NaN</td>\n",
" <td>2015-01-01 00:30:00-07:00</td>\n",
" <td>2015-01-01 05:23:00-05:00</td>\n",
" <td>2015-01-01 07:30:00+00:00</td>\n",
" <td>2015-01-01 10:23:00+00:00</td>\n",
" <td>7.0</td>\n",
" <td>-8.0</td>\n",
" <td>49.52</td>\n",
" <td>170.0</td>\n",
" <td>13.0</td>\n",
" <td>0.0</td>\n",
" <td>30.06</td>\n",
" <td>1023.2</td>\n",
" <td>10.0</td>\n",
" <td>CLR</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>-10.49</td>\n",
" <td>33.0</td>\n",
" <td>26.0</td>\n",
" <td>75.11</td>\n",
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" <td>3.0</td>\n",
" <td>0.0000</td>\n",
" <td>30.30</td>\n",
" <td>1026.8</td>\n",
" <td>10.0</td>\n",
" <td>FEW</td>\n",
" <td>25000.0</td>\n",
" <td>NaN</td>\n",
" <td>29.92</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>4</td>\n",
" <td>NK</td>\n",
" <td>597</td>\n",
" <td>N528NK</td>\n",
" <td>MSP</td>\n",
" <td>FLL</td>\n",
" <td>207.0</td>\n",
" <td>1487</td>\n",
" <td>0.0</td>\n",
" <td>44.878019</td>\n",
" <td>-93.220928</td>\n",
" <td>803</td>\n",
" <td>Minnesota</td>\n",
" <td>26.072017</td>\n",
" <td>-80.150997</td>\n",
" <td>45</td>\n",
" <td>NaN</td>\n",
" <td>2015-01-01 01:15:00-06:00</td>\n",
" <td>2015-01-01 05:42:00-05:00</td>\n",
" <td>2015-01-01 07:15:00+00:00</td>\n",
" <td>2015-01-01 10:42:00+00:00</td>\n",
" <td>11.0</td>\n",
" <td>5.0</td>\n",
" <td>76.49</td>\n",
" <td>240.0</td>\n",
" <td>9.0</td>\n",
" <td>0.0</td>\n",
" <td>29.92</td>\n",
" <td>1015.1</td>\n",
" <td>10.0</td>\n",
" <td>OVC</td>\n",
" <td>17000.0</td>\n",
" <td>NaN</td>\n",
" <td>-2.67</td>\n",
" <td>71.0</td>\n",
" <td>71.0</td>\n",
" <td>100.00</td>\n",
" <td>10.0</td>\n",
" <td>3.0</td>\n",
" <td>0.0000</td>\n",
" <td>30.14</td>\n",
" <td>1020.7</td>\n",
" <td>7.0</td>\n",
" <td>SCT</td>\n",
" <td>1700.0</td>\n",
" <td>NaN</td>\n",
" <td>72.57</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>4</td>\n",
" <td>NK</td>\n",
" <td>972</td>\n",
" <td>N606NK</td>\n",
" <td>PHX</td>\n",
" <td>DFW</td>\n",
" <td>123.0</td>\n",
" <td>868</td>\n",
" <td>0.0</td>\n",
" <td>33.432891</td>\n",
" <td>-112.009422</td>\n",
" <td>1112</td>\n",
" <td>Arizona</td>\n",
" <td>32.896519</td>\n",
" <td>-97.046522</td>\n",
" <td>574</td>\n",
" <td>Texas</td>\n",
" <td>2015-01-01 01:59:00-07:00</td>\n",
" <td>2015-01-01 05:02:00-06:00</td>\n",
" <td>2015-01-01 08:59:00+00:00</td>\n",
" <td>2015-01-01 11:02:00+00:00</td>\n",
" <td>37.0</td>\n",
" <td>31.0</td>\n",
" <td>78.31</td>\n",
" <td>300.0</td>\n",
" <td>4.0</td>\n",
" <td>0.0</td>\n",
" <td>30.03</td>\n",
" <td>1016.9</td>\n",
" <td>10.0</td>\n",
" <td>SCT</td>\n",
" <td>2000.0</td>\n",
" <td>NaN</td>\n",
" <td>33.31</td>\n",
" <td>33.0</td>\n",
" <td>25.0</td>\n",
" <td>71.82</td>\n",
" <td>350.0</td>\n",
" <td>7.0</td>\n",
" <td>0.0001</td>\n",
" <td>30.33</td>\n",
" <td>1027.5</td>\n",
" <td>10.0</td>\n",
" <td>OVC</td>\n",
" <td>4300.0</td>\n",
" <td>NaN</td>\n",
" <td>26.10</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
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"\n",
" <style>\n",
" .colab-df-container {\n",
" display:flex;\n",
" gap: 12px;\n",
" }\n",
"\n",
" .colab-df-convert {\n",
" background-color: #E8F0FE;\n",
" border: none;\n",
" border-radius: 50%;\n",
" cursor: pointer;\n",
" display: none;\n",
" fill: #1967D2;\n",
" height: 32px;\n",
" padding: 0 0 0 0;\n",
" width: 32px;\n",
" }\n",
"\n",
" .colab-df-convert:hover {\n",
" background-color: #E2EBFA;\n",
" box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
" fill: #174EA6;\n",
" }\n",
"\n",
" .colab-df-buttons div {\n",
" margin-bottom: 4px;\n",
" }\n",
"\n",
" [theme=dark] .colab-df-convert {\n",
" background-color: #3B4455;\n",
" fill: #D2E3FC;\n",
" }\n",
"\n",
" [theme=dark] .colab-df-convert:hover {\n",
" background-color: #434B5C;\n",
" box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
" filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
" fill: #FFFFFF;\n",
" }\n",
" </style>\n",
"\n",
" <script>\n",
" const buttonEl =\n",
" document.querySelector('#df-92cf420a-56fc-4a35-b46e-41017f7bac98 button.colab-df-convert');\n",
" buttonEl.style.display =\n",
" google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
"\n",
" async function convertToInteractive(key) {\n",
" const element = document.querySelector('#df-92cf420a-56fc-4a35-b46e-41017f7bac98');\n",
" const dataTable =\n",
" await google.colab.kernel.invokeFunction('convertToInteractive',\n",
" [key], {});\n",
" if (!dataTable) return;\n",
"\n",
" const docLinkHtml = 'Like what you see? Visit the ' +\n",
" '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
" + ' to learn more about interactive tables.';\n",
" element.innerHTML = '';\n",
" dataTable['output_type'] = 'display_data';\n",
" await google.colab.output.renderOutput(dataTable, element);\n",
" const docLink = document.createElement('div');\n",
" docLink.innerHTML = docLinkHtml;\n",
" element.appendChild(docLink);\n",
" }\n",
" </script>\n",
" </div>\n",
"\n",
"\n",
"<div id=\"df-34b00fcb-903e-40fb-b595-c5af93a7aaf6\">\n",
" <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-34b00fcb-903e-40fb-b595-c5af93a7aaf6')\"\n",
" title=\"Suggest charts\"\n",
" style=\"display:none;\">\n",
"\n",
"<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
" width=\"24px\">\n",
" <g>\n",
" <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
" </g>\n",
"</svg>\n",
" </button>\n",
"\n",
"<style>\n",
" .colab-df-quickchart {\n",
" --bg-color: #E8F0FE;\n",
" --fill-color: #1967D2;\n",
" --hover-bg-color: #E2EBFA;\n",
" --hover-fill-color: #174EA6;\n",
" --disabled-fill-color: #AAA;\n",
" --disabled-bg-color: #DDD;\n",
" }\n",
"\n",
" [theme=dark] .colab-df-quickchart {\n",
" --bg-color: #3B4455;\n",
" --fill-color: #D2E3FC;\n",
" --hover-bg-color: #434B5C;\n",
" --hover-fill-color: #FFFFFF;\n",
" --disabled-bg-color: #3B4455;\n",
" --disabled-fill-color: #666;\n",
" }\n",
"\n",
" .colab-df-quickchart {\n",
" background-color: var(--bg-color);\n",
" border: none;\n",
" border-radius: 50%;\n",
" cursor: pointer;\n",
" display: none;\n",
" fill: var(--fill-color);\n",
" height: 32px;\n",
" padding: 0;\n",
" width: 32px;\n",
" }\n",
"\n",
" .colab-df-quickchart:hover {\n",
" background-color: var(--hover-bg-color);\n",
" box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
" fill: var(--button-hover-fill-color);\n",
" }\n",
"\n",
" .colab-df-quickchart-complete:disabled,\n",
" .colab-df-quickchart-complete:disabled:hover {\n",
" background-color: var(--disabled-bg-color);\n",
" fill: var(--disabled-fill-color);\n",
" box-shadow: none;\n",
" }\n",
"\n",
" .colab-df-spinner {\n",
" border: 2px solid var(--fill-color);\n",
" border-color: transparent;\n",
" border-bottom-color: var(--fill-color);\n",
" animation:\n",
" spin 1s steps(1) infinite;\n",
" }\n",
"\n",
" @keyframes spin {\n",
" 0% {\n",
" border-color: transparent;\n",
" border-bottom-color: var(--fill-color);\n",
" border-left-color: var(--fill-color);\n",
" }\n",
" 20% {\n",
" border-color: transparent;\n",
" border-left-color: var(--fill-color);\n",
" border-top-color: var(--fill-color);\n",
" }\n",
" 30% {\n",
" border-color: transparent;\n",
" border-left-color: var(--fill-color);\n",
" border-top-color: var(--fill-color);\n",
" border-right-color: var(--fill-color);\n",
" }\n",
" 40% {\n",
" border-color: transparent;\n",
" border-right-color: var(--fill-color);\n",
" border-top-color: var(--fill-color);\n",
" }\n",
" 60% {\n",
" border-color: transparent;\n",
" border-right-color: var(--fill-color);\n",
" }\n",
" 80% {\n",
" border-color: transparent;\n",
" border-right-color: var(--fill-color);\n",
" border-bottom-color: var(--fill-color);\n",
" }\n",
" 90% {\n",
" border-color: transparent;\n",
" border-bottom-color: var(--fill-color);\n",
" }\n",
" }\n",
"</style>\n",
"\n",
" <script>\n",
" async function quickchart(key) {\n",
" const quickchartButtonEl =\n",
" document.querySelector('#' + key + ' button');\n",
" quickchartButtonEl.disabled = true; // To prevent multiple clicks.\n",
" quickchartButtonEl.classList.add('colab-df-spinner');\n",
" try {\n",
" const charts = await google.colab.kernel.invokeFunction(\n",
" 'suggestCharts', [key], {});\n",
" } catch (error) {\n",
" console.error('Error during call to suggestCharts:', error);\n",
" }\n",
" quickchartButtonEl.classList.remove('colab-df-spinner');\n",
" quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
" }\n",
" (() => {\n",
" let quickchartButtonEl =\n",
" document.querySelector('#df-34b00fcb-903e-40fb-b595-c5af93a7aaf6 button');\n",
" quickchartButtonEl.style.display =\n",
" google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
" })();\n",
" </script>\n",
"</div>\n",
"\n",
" </div>\n",
" </div>\n"
],
"application/vnd.google.colaboratory.intrinsic+json": {
"type": "dataframe",
"variable_name": "flights"
}
},
"metadata": {},
"execution_count": 17
}
]
},
{
"cell_type": "markdown",
"source": [
"It is also possible that time of year could impact flight delays, or at least have an interaction with another variable. We can create sine and cosine values for time of year to help us represent the cyclical nature of this data for our model."
],
"metadata": {
"id": "hw5XQp3wNPul"
}
},
{
"cell_type": "code",
"source": [
"flights.loc[:, 'time_of_year_sin'] = np.sin(2 * np.pi * flights['SCHEDULED_DEPARTURE_UTC'].dt.dayofyear / 365)\n",
"flights.loc[:, 'time_of_year_cos'] = np.cos(2 * np.pi * flights['SCHEDULED_DEPARTURE_UTC'].dt.dayofyear / 365)"
],
"metadata": {
"id": "gyYCVwUEvNmz"
},
"execution_count": 18,
"outputs": []
},
{
"cell_type": "markdown",
"source": [
"Let's make sure we understand the variables we're left with. Here's are the histograms for our numerical variables:"
],
"metadata": {
"id": "H0gMaYUlN5bd"
}
},
{
"cell_type": "code",
"source": [
"flights.hist(bins=30, figsize=(15, 10))\n",
"plt.tight_layout() # Prevent overlapping labels\n",
"plt.show()"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 734
},
"id": "wZePqe2dNZu0",
"outputId": "7c0d6093-7618-403a-f3ec-6a78edf5c6bb"
},
"execution_count": 19,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
"<Figure size 1500x1000 with 42 Axes>"
],
"image/png": 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},
"metadata": {}
}
]
},
{
"cell_type": "markdown",
"source": [
"I notice the histogram for origin_drct and destination_drct have an abnormally large number of values at zero.\n",
"\n",
"These variables represent the wind direction in degrees (0 to 360) at the origin and destination airports, respectively. They should be relatively uniformly distributed. This makes me think that any missing values were coded as zero. However, zero also represents a real wind direction (northerly winds come from degree 0). Therefore, I think it's best to drop these two columns."
],
"metadata": {
"id": "Q0fMQ7qTNZgs"
}
},
{
"cell_type": "code",
"source": [
"flights.drop(['origin_drct', 'destination_drct'], axis=1, inplace=True)"
],
"metadata": {
"id": "hW-8vezr4eXN"
},
"execution_count": 20,
"outputs": []
},
{
"cell_type": "markdown",
"source": [
"I also notice the x-axis on destination_vsby is extremely wide. The feature represents the visibility at the destination airport. Usually the highest visibility is 10, 15, or 25 miles (depending on the location). Let's investigate these potential outliers."
],
"metadata": {
"id": "XrrEqCPbTP53"
}
},
{
"cell_type": "code",
"source": [
"flights[flights['destination_vsby'] > 25]"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 264
},
"id": "40BEO-IP5-6S",
"outputId": "13a5d1fd-82d2-4748-e117-037d9b9ab969"
},
"execution_count": 21,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
" DAY_OF_WEEK AIRLINE FLIGHT_NUMBER TAIL_NUMBER ORIGIN_AIRPORT \\\n",
"618267 4 NK 182 N534NK RSW \n",
"2917284 6 OO 4619 N699BR SLC \n",
"2917462 6 OO 6534 N937SW DEN \n",
"2917606 6 OO 4833 N549CA MSP \n",
"\n",
" DESTINATION_AIRPORT SCHEDULED_TIME DISTANCE WEATHER_DELAY \\\n",
"618267 LBE 149.0 956 0.0 \n",
"2917284 IDA 60.0 188 0.0 \n",
"2917462 IDA 97.0 458 0.0 \n",
"2917606 IDA 152.0 939 0.0 \n",
"\n",
" origin_latitude origin_longitude origin_elevation origin_state \\\n",
"618267 26.532950 -81.758806 32 Florida \n",
"2917284 40.790066 -111.979898 4209 Utah \n",
"2917462 39.860668 -104.685367 5347 Colorado \n",
"2917606 44.878019 -93.220928 803 Minnesota \n",
"\n",
" destination_latitude destination_longitude destination_elevation \\\n",
"618267 40.272935 -79.406420 1199 \n",
"2917284 43.515183 -112.066217 4734 \n",
"2917462 43.515183 -112.066217 4734 \n",
"2917606 43.515183 -112.066217 4734 \n",
"\n",
" destination_state SCHEDULED_DEPARTURE_tz_aware \\\n",
"618267 Pennsylvania 2015-02-12 18:45:00-05:00 \n",
"2917284 Idaho 2015-07-11 11:32:00-06:00 \n",
"2917462 Idaho 2015-07-11 11:06:00-06:00 \n",
"2917606 Idaho 2015-07-11 11:19:00-05:00 \n",
"\n",
" SCHEDULED_ARRIVAL_tz_aware SCHEDULED_DEPARTURE_UTC \\\n",
"618267 2015-02-12 21:14:00-05:00 2015-02-12 23:45:00+00:00 \n",
"2917284 2015-07-11 12:32:00-06:00 2015-07-11 17:32:00+00:00 \n",
"2917462 2015-07-11 12:43:00-06:00 2015-07-11 17:06:00+00:00 \n",
"2917606 2015-07-11 12:51:00-06:00 2015-07-11 16:19:00+00:00 \n",
"\n",
" SCHEDULED_ARRIVAL_UTC origin_tmpf origin_dwpf origin_relh \\\n",
"618267 2015-02-13 02:14:00+00:00 61.0 51.0 69.86 \n",
"2917284 2015-07-11 18:32:00+00:00 82.0 38.0 20.71 \n",
"2917462 2015-07-11 18:43:00+00:00 81.0 43.0 26.09 \n",
"2917606 2015-07-11 18:51:00+00:00 77.0 67.0 71.08 \n",
"\n",
" origin_sknt origin_p01i origin_alti origin_mslp origin_vsby \\\n",
"618267 4.0 0.0 30.08 1018.3 10.0 \n",
"2917284 17.0 0.0 30.04 1011.8 10.0 \n",
"2917462 3.0 0.0 30.17 1013.9 10.0 \n",
"2917606 10.0 0.0 30.02 NaN 10.0 \n",
"\n",
" origin_skyc1 origin_skyl1 origin_wxcodes origin_feel \\\n",
"618267 CLR NaN NaN 60.98 \n",
"2917284 FEW 12000.0 NaN 79.92 \n",
"2917462 FEW 8000.0 NaN 79.52 \n",
"2917606 BKN 2200.0 NaN 77.00 \n",
"\n",
" destination_tmpf destination_dwpf destination_relh \\\n",
"618267 8.6 5.0 84.93 \n",
"2917284 77.0 48.2 36.22 \n",
"2917462 77.0 48.2 36.22 \n",
"2917606 77.0 48.2 36.22 \n",
"\n",
" destination_sknt destination_p01i destination_alti \\\n",
"618267 NaN 0.0 30.22 \n",
"2917284 NaN 0.0 30.03 \n",
"2917462 NaN 0.0 30.03 \n",
"2917606 NaN 0.0 30.03 \n",
"\n",
" destination_mslp destination_vsby destination_skyc1 \\\n",
"618267 NaN 32010.0 OVC \n",
"2917284 NaN 21008.0 SCT \n",
"2917462 NaN 21008.0 SCT \n",
"2917606 NaN 21008.0 SCT \n",
"\n",
" destination_skyl1 destination_wxcodes destination_feel \\\n",
"618267 300.0 -SN NaN \n",
"2917284 10000.0 NaN 77.0 \n",
"2917462 10000.0 NaN 77.0 \n",
"2917606 10000.0 NaN 77.0 \n",
"\n",
" origin_BR_code origin_SN_code origin_RA_code origin_HZ_code \\\n",
"618267 False False False False \n",
"2917284 False False False False \n",
"2917462 False False False False \n",
"2917606 False False False False \n",
"\n",
" origin_FG_code origin_FZ_code origin_PL_code origin_TS_code \\\n",
"618267 False False False False \n",
"2917284 False False False False \n",
"2917462 False False False False \n",
"2917606 False False False False \n",
"\n",
" destination_BR_code destination_SN_code destination_RA_code \\\n",
"618267 False True False \n",
"2917284 False False False \n",
"2917462 False False False \n",
"2917606 False False False \n",
"\n",
" destination_HZ_code destination_FG_code destination_FZ_code \\\n",
"618267 False False False \n",
"2917284 False False False \n",
"2917462 False False False \n",
"2917606 False False False \n",
"\n",
" destination_PL_code destination_TS_code time_of_year_sin \\\n",
"618267 False False 0.674444 \n",
"2917284 False False -0.162807 \n",
"2917462 False False -0.162807 \n",
"2917606 False False -0.162807 \n",
"\n",
" time_of_year_cos \n",
"618267 0.738326 \n",
"2917284 -0.986658 \n",
"2917462 -0.986658 \n",
"2917606 -0.986658 "
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" <td>4</td>\n",
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" <td>Florida</td>\n",
" <td>40.272935</td>\n",
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" <td>1199</td>\n",
" <td>Pennsylvania</td>\n",
" <td>2015-02-12 18:45:00-05:00</td>\n",
" <td>2015-02-12 21:14:00-05:00</td>\n",
" <td>2015-02-12 23:45:00+00:00</td>\n",
" <td>2015-02-13 02:14:00+00:00</td>\n",
" <td>61.0</td>\n",
" <td>51.0</td>\n",
" <td>69.86</td>\n",
" <td>4.0</td>\n",
" <td>0.0</td>\n",
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" filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
" fill: #FFFFFF;\n",
" }\n",
" </style>\n",
"\n",
" <script>\n",
" const buttonEl =\n",
" document.querySelector('#df-a5d83298-a644-44cd-8400-ebaea9ba93d6 button.colab-df-convert');\n",
" buttonEl.style.display =\n",
" google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
"\n",
" async function convertToInteractive(key) {\n",
" const element = document.querySelector('#df-a5d83298-a644-44cd-8400-ebaea9ba93d6');\n",
" const dataTable =\n",
" await google.colab.kernel.invokeFunction('convertToInteractive',\n",
" [key], {});\n",
" if (!dataTable) return;\n",
"\n",
" const docLinkHtml = 'Like what you see? Visit the ' +\n",
" '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
" + ' to learn more about interactive tables.';\n",
" element.innerHTML = '';\n",
" dataTable['output_type'] = 'display_data';\n",
" await google.colab.output.renderOutput(dataTable, element);\n",
" const docLink = document.createElement('div');\n",
" docLink.innerHTML = docLinkHtml;\n",
" element.appendChild(docLink);\n",
" }\n",
" </script>\n",
" </div>\n",
"\n",
"\n",
"<div id=\"df-4468fe0d-45ac-4306-8f28-2d1d5b4257e5\">\n",
" <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-4468fe0d-45ac-4306-8f28-2d1d5b4257e5')\"\n",
" title=\"Suggest charts\"\n",
" style=\"display:none;\">\n",
"\n",
"<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
" width=\"24px\">\n",
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" </g>\n",
"</svg>\n",
" </button>\n",
"\n",
"<style>\n",
" .colab-df-quickchart {\n",
" --bg-color: #E8F0FE;\n",
" --fill-color: #1967D2;\n",
" --hover-bg-color: #E2EBFA;\n",
" --hover-fill-color: #174EA6;\n",
" --disabled-fill-color: #AAA;\n",
" --disabled-bg-color: #DDD;\n",
" }\n",
"\n",
" [theme=dark] .colab-df-quickchart {\n",
" --bg-color: #3B4455;\n",
" --fill-color: #D2E3FC;\n",
" --hover-bg-color: #434B5C;\n",
" --hover-fill-color: #FFFFFF;\n",
" --disabled-bg-color: #3B4455;\n",
" --disabled-fill-color: #666;\n",
" }\n",
"\n",
" .colab-df-quickchart {\n",
" background-color: var(--bg-color);\n",
" border: none;\n",
" border-radius: 50%;\n",
" cursor: pointer;\n",
" display: none;\n",
" fill: var(--fill-color);\n",
" height: 32px;\n",
" padding: 0;\n",
" width: 32px;\n",
" }\n",
"\n",
" .colab-df-quickchart:hover {\n",
" background-color: var(--hover-bg-color);\n",
" box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
" fill: var(--button-hover-fill-color);\n",
" }\n",
"\n",
" .colab-df-quickchart-complete:disabled,\n",
" .colab-df-quickchart-complete:disabled:hover {\n",
" background-color: var(--disabled-bg-color);\n",
" fill: var(--disabled-fill-color);\n",
" box-shadow: none;\n",
" }\n",
"\n",
" .colab-df-spinner {\n",
" border: 2px solid var(--fill-color);\n",
" border-color: transparent;\n",
" border-bottom-color: var(--fill-color);\n",
" animation:\n",
" spin 1s steps(1) infinite;\n",
" }\n",
"\n",
" @keyframes spin {\n",
" 0% {\n",
" border-color: transparent;\n",
" border-bottom-color: var(--fill-color);\n",
" border-left-color: var(--fill-color);\n",
" }\n",
" 20% {\n",
" border-color: transparent;\n",
" border-left-color: var(--fill-color);\n",
" border-top-color: var(--fill-color);\n",
" }\n",
" 30% {\n",
" border-color: transparent;\n",
" border-left-color: var(--fill-color);\n",
" border-top-color: var(--fill-color);\n",
" border-right-color: var(--fill-color);\n",
" }\n",
" 40% {\n",
" border-color: transparent;\n",
" border-right-color: var(--fill-color);\n",
" border-top-color: var(--fill-color);\n",
" }\n",
" 60% {\n",
" border-color: transparent;\n",
" border-right-color: var(--fill-color);\n",
" }\n",
" 80% {\n",
" border-color: transparent;\n",
" border-right-color: var(--fill-color);\n",
" border-bottom-color: var(--fill-color);\n",
" }\n",
" 90% {\n",
" border-color: transparent;\n",
" border-bottom-color: var(--fill-color);\n",
" }\n",
" }\n",
"</style>\n",
"\n",
" <script>\n",
" async function quickchart(key) {\n",
" const quickchartButtonEl =\n",
" document.querySelector('#' + key + ' button');\n",
" quickchartButtonEl.disabled = true; // To prevent multiple clicks.\n",
" quickchartButtonEl.classList.add('colab-df-spinner');\n",
" try {\n",
" const charts = await google.colab.kernel.invokeFunction(\n",
" 'suggestCharts', [key], {});\n",
" } catch (error) {\n",
" console.error('Error during call to suggestCharts:', error);\n",
" }\n",
" quickchartButtonEl.classList.remove('colab-df-spinner');\n",
" quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
" }\n",
" (() => {\n",
" let quickchartButtonEl =\n",
" document.querySelector('#df-4468fe0d-45ac-4306-8f28-2d1d5b4257e5 button');\n",
" quickchartButtonEl.style.display =\n",
" google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
" })();\n",
" </script>\n",
"</div>\n",
"\n",
" </div>\n",
" </div>\n"
],
"application/vnd.google.colaboratory.intrinsic+json": {
"type": "dataframe"
}
},
"metadata": {},
"execution_count": 21
}
]
},
{
"cell_type": "markdown",
"source": [
"Visibilities in the tens of thousands are clearly incorrect. Anything of 25 miles should be dropped from the dataset."
],
"metadata": {
"id": "iQJUX9l76f-H"
}
},
{
"cell_type": "code",
"source": [
"# Drop the erroneous row by keeping only rows with destination visibility at 25 miles or less\n",
"flights = flights[flights['destination_vsby'] <= 25]"
],
"metadata": {
"id": "fXovneiM6mRi"
},
"execution_count": 22,
"outputs": []
},
{
"cell_type": "markdown",
"source": [
"Let's see if there's any patterns when we plot our features against the target variable `WEATHER_DELAY`, which represents the number of minutes a flight was delayed due to weather."
],
"metadata": {
"id": "YbJOyUx-On-t"
}
},
{
"cell_type": "code",
"source": [
"features = flights.drop(columns=['WEATHER_DELAY']).select_dtypes(include='number').columns\n",
"\n",
"n_cols = 3 # Number of plots per row\n",
"n_rows = -(-len(features) // n_cols) # Ceiling division\n",
"\n",
"fig, axes = plt.subplots(n_rows, n_cols, figsize=(n_cols * 4, n_rows * 3))\n",
"axes = axes.flatten() # Flatten in case of a single row\n",
"\n",
"for i, col in enumerate(features):\n",
" ax = axes[i]\n",
" ax.scatter(flights[col], flights['WEATHER_DELAY'], alpha=0.5)\n",
" ax.set_title(f'{col} vs. WEATHER_DELAY', fontsize=10)\n",
" ax.set_xlabel(col)\n",
" ax.set_ylabel('WEATHER_DELAY')\n",
"\n",
"# Hide any extra unused subplots\n",
"for j in range(len(features), len(axes)):\n",
" fig.delaxes(axes[j])\n",
"\n",
"plt.tight_layout()\n",
"plt.show()"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 1000
},
"id": "dtH8BAtE2rax",
"outputId": "68e3a36d-e6ef-49d1-e4b2-8a39ede82c48"
},
"execution_count": 23,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
"<Figure size 1200x3300 with 32 Axes>"
],
"image/png": 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