{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Nobody Likes Traffic\n",
"## Signs It's Slowing Down on I-94"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Introduction\n",
"This analysis is attempting to identify factors associated with heavy traffic.\n",
"\n",
"The dataset is comprised of daily and hourly entries for westbound traffic midway between Minneapolis and St. Paul, the largest and capital cities, respectively, in Minnesota. It was collected from a Department of Transportation station on interstate 94 between October 2012 and September 2018.\n",
"\n",
"The dataset was created by John Hogue from the UCI Machine Learning Repository.\n",
"https://archive.ics.uci.edu/ml/datasets/Metro+Interstate+Traffic+Volume\n",
"\n",
"The colors used are the University of Minnesota school colors, gold for graphs and maroon for line plots. Go Gophers!"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"# import libraries, open file, set display options\n",
"import pandas as pd\n",
"import matplotlib.pyplot as plt\n",
"%matplotlib inline\n",
"import numpy as np\n",
"import pprint\n",
"pd.options.display.float_format = '{:20,.4f}'.format\n",
"traffic = pd.read_csv(\"Metro_Interstate_Traffic_Volume.csv\")\n",
"pd.set_option('display.max_rows', None)\n",
"pd.set_option('display.max_columns', None)\n",
"pd.set_option('display.width', 1000)\n",
"pd.set_option('display.colheader_justify', 'center')\n",
"pd.set_option('display.precision', 3)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Examine Data\n",
"A quick look at the beginning and ending of the data set shows nine columns with a mix of categorical text and numeric information. The source of the data set states that an automatic traffic recorder (ATR) was used to tabulate traffic volume. It is expressed in the number of vehicles per hour.\n",
"* There don't appear to be any missing values.\n",
"* The statistical description looks unusual for rain and snow. There aren't any quartile values listed.\n",
"* The units for temperature don't look familiar and the max rain value seems high as well."
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"scrolled": true
},
"outputs": [
{
"data": {
"text/html": [
"
"
],
"text/plain": [
" temp rain_1h snow_1h clouds_all traffic_volume \n",
"count 48,204.0000 48,204.0000 48,204.0000 48,204.0000 48,204.0000\n",
"mean 281.2059 0.3343 0.0002 49.3622 3,259.8184\n",
"std 13.3382 44.7891 0.0082 39.0158 1,986.8607\n",
"min 0.0000 0.0000 0.0000 0.0000 0.0000\n",
"25% 272.1600 0.0000 0.0000 1.0000 1,193.0000\n",
"50% 282.4500 0.0000 0.0000 64.0000 3,380.0000\n",
"75% 291.8060 0.0000 0.0000 90.0000 4,933.0000\n",
"max 310.0700 9,831.3000 0.5100 100.0000 7,280.0000"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# display head, tail, and basic info\n",
"display(traffic.head())\n",
"display(traffic.tail())\n",
"display(traffic.info())\n",
"display(traffic.describe())"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Clean Data\n",
"* Looking at the frequency of no rain and no snow verses some of either shows that the data set statistics for both columns are dominated by hours in which there was no precipitation. Both of these columns report millimeters per hour. The number of hours with some snow seems particularly low for this geographical region.\n",
" * Creating a column with all positive rain values shows one outlier of 9,800 mm of rain that can be removed.\n",
" * Creating a similar snow column doesn't reveal any outliers.\n",
"* The temperature column is in degrees Kelvin, which is useful in chemistry or physics but not traffic analysis. Converting to degrees Fahrenheit would be standard in the US.\n",
" * The temperature column has ten rows with outlier temperature values that can be removed."
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Hours with no rain: 44737\n",
"Hours with some rain 3467\n",
"Hours with no snow: 48141\n",
"Hours with some snow: 63\n"
]
}
],
"source": [
"# separate rain column by no rain or some rain\n",
"no_rain = traffic[traffic[\"rain_1h\"] == 0]\n",
"some_rain = traffic[traffic[\"rain_1h\"] > 0]\n",
"print(\"Hours with no rain: \", len(no_rain))\n",
"print(\"Hours with some rain\", len(some_rain))\n",
"# separate snow column by no snow or some snow\n",
"no_snow = traffic[traffic[\"snow_1h\"] == 0]\n",
"some_snow = traffic[traffic[\"snow_1h\"] > 0]\n",
"print(\"Hours with no snow: \", len(no_snow))\n",
"print(\"Hours with some snow: \", len(some_snow))"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"count 3,467.0000\n",
"mean 4.6475\n",
"std 166.9703\n",
"min 0.2500\n",
"25% 0.2500\n",
"50% 0.6400\n",
"75% 1.7800\n",
"max 9,831.3000\n",
"Name: some_rain, dtype: float64"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# create a some_rain column with any rain measurements greater than 0\n",
"traffic[\"some_rain\"] = traffic[\"rain_1h\"][traffic[\"rain_1h\"] > 0]\n",
"# basic stats for some_rain\n",
"display(traffic[\"some_rain\"].describe())"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"scrolled": true
},
"outputs": [
{
"data": {
"text/plain": [
"count 3,466.0000\n",
"mean 1.8123\n",
"std 3.3100\n",
"min 0.2500\n",
"25% 0.2500\n",
"50% 0.6400\n",
"75% 1.7800\n",
"max 55.6300\n",
"Name: some_rain, dtype: float64"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# remove row with outlier rain values\n",
"traffic = traffic[traffic[\"rain_1h\"]<100]\n",
"# basic stats for some_rain\n",
"display(traffic[\"some_rain\"].describe())"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"count 63.0000\n",
"mean 0.1702\n",
"std 0.1499\n",
"min 0.0500\n",
"25% 0.0600\n",
"50% 0.1000\n",
"75% 0.2500\n",
"max 0.5100\n",
"Name: some_snow, dtype: float64"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# create a some_snow column with any snow measurements greater than 0\n",
"traffic[\"some_snow\"] = traffic[\"snow_1h\"][traffic[\"snow_1h\"] > 0]\n",
"# basic stats for some_snow\n",
"display(traffic[\"some_snow\"].describe())"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [],
"source": [
"# convert temperature column from Kelvin to Fahrenheit\n",
"def k_to_f(k_temp):\n",
" f_temp = ((k_temp-273.15)*(9/5)) + 32\n",
" return f_temp\n",
"\n",
"traffic[\"temp\"] = traffic[\"temp\"].map(k_to_f)"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {
"scrolled": true
},
"outputs": [
{
"data": {
"text/plain": [
"count 48,203.0000\n",
"mean 46.4998\n",
"std 24.0085\n",
"min -459.6700\n",
"25% 30.2180\n",
"50% 48.7400\n",
"75% 65.5808\n",
"max 98.4560\n",
"Name: temp, dtype: float64"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# basic stats for temp column\n",
"display(traffic[\"temp\"].describe())"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [],
"source": [
"# # look at outlier temp rows\n",
"# cold_days = traffic[traffic[\"temp\"]<-100]\n",
"# display(cold_days)"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {
"scrolled": true
},
"outputs": [
{
"data": {
"text/plain": [
"count 48,193.0000\n",
"mean 46.6048\n",
"std 22.8769\n",
"min -21.5680\n",
"25% 30.2540\n",
"50% 48.7580\n",
"75% 65.5880\n",
"max 98.4560\n",
"Name: temp, dtype: float64"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# remove rows with outlier temperatures\n",
"traffic = traffic[traffic[\"temp\"]>-100]\n",
"# basic stats for temp column\n",
"display(traffic[\"temp\"].describe())"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Overall traffic volume\n",
"\n",
"The previous statistics for traffic volume shows that the minimum value is 0, the maximum value is 7280, and that traffic is usually somewhere in the middle. A histogram shows an interesting distribution. The mean is heavily influenced by how often the traffic is really light and how often the traffic is fairly bad."
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"data": {
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\n",
"text/plain": [
"
"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# create histogram of traffic volume for entire data set\n",
"traffic[\"traffic_volume\"].plot.hist(color=\"#FFCC33\")\n",
"plt.title(\"Vehicles per Hour\")\n",
"plt.xticks([1000,3000,5000,7000], [1000,3000,5000,7000])\n",
"plt.yticks([2000,4000,6000,8000], [2000,4000,6000,8000])\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Aggregate by day or night\n",
"Creating a daytime group (7:00 am to 6:00 pm) and a nighttime group (7:00 pm to 6:00 am) reveals unsurprising differences in traffic volume.\n",
"* The histograms clearly show:\n",
" * a left skewed normal distribution for daytime traffic, with the mean traffic volume of about 4,600 vehicles per hour.\n",
" * a right skewed distribution for nighttime traffic. The mean traffic volume is a little less than 1,800 vehicles per hour.\n",
"* This would suggest that including the nighttime data could invalidate any conclusion. That being said, there is some occurrence of high traffic in the evenings. It would be worthwhile to take a look and see if this is just overlap from the day and what the conditions where that caused the increase."
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {
"scrolled": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"The number of rows and columns for the day and night series.\n"
]
},
{
"data": {
"text/plain": [
"(23874, 11)"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/plain": [
"(24319, 11)"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# transform column to datetime\n",
"traffic[\"date_time\"] = pd.to_datetime(traffic[\"date_time\"])\n",
"# create date_time series\n",
"day_night = traffic[\"date_time\"].dt.hour\n",
"# create day traffic series from 0700 to 1800\n",
"day_traffic = day_night.between(7, 18)\n",
"day_traffic = traffic.loc[day_traffic].copy()\n",
"# create night traffic series from 1900 to 0600\n",
"night_traffic = day_night.between(19, 24) | day_night.between(0, 6)\n",
"night_traffic = traffic.loc[night_traffic].copy()\n",
"# verify\n",
"print(\"The number of rows and columns for the day and night series.\")\n",
"display(day_traffic.shape)\n",
"display(night_traffic.shape)"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {
"scrolled": true
},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"
"
],
"text/plain": [
" temp rain_1h snow_1h clouds_all traffic_volume some_rain some_snow \n",
"count 24,319.0000 24,319.0000 24,319.0000 24,319.0000 24,319.0000 1,696.0000 29.0000\n",
"mean 44.8084 0.1392 0.0002 45.6870 1,785.5309 1.9959 0.1610\n",
"std 22.1202 1.1111 0.0074 40.0464 1,441.8681 3.7420 0.1455\n",
"min -20.0740 0.0000 0.0000 0.0000 0.0000 0.2500 0.0500\n",
"25% 29.4080 0.0000 0.0000 1.0000 530.5000 0.2500 0.0500\n",
"50% 46.8140 0.0000 0.0000 40.0000 1,287.0000 0.6700 0.1000\n",
"75% 63.5900 0.0000 0.0000 90.0000 2,819.0000 1.8500 0.2500\n",
"max 94.1540 55.6300 0.5100 100.0000 6,386.0000 55.6300 0.5100"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# basic daytime and nighttime stats\n",
"display(day_traffic.describe())\n",
"display(night_traffic.describe())"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Daytime Group\n",
"* Looking at daytime values initially will provide most of the analysis.\n",
"* The mean traffic volume by month is not that far off the mean traffic volume for all day entries, 4762. The standard deviation between the months is only 190. The graph does show two dips, with one corresponding to winter months in the US. The other looks like it occurs during July, which is unusual because that's during the summer when traffic tends to be high.\n",
" * A closer look at the annual distribution for the month of July shows an atypical decrease in 2016. A quick google search points to a large highway construction project taking place that year. https://www.mprnews.org/story/2016/07/22/i94-stpaul-shutdown-twin-cities-weekend-road-woes\n",
"* The mean daytime traffic volume does change considerably depending on the day of the week. Saturday shows a considerable dip and Sunday a little more. But there are still plenty of cars making the drive!\n",
"* Looking at the traffic volume for weekdays by hour indicates a peak in the morning (by 7:00 am if not earlier) and again in the afternoon at 4:00 pm.\n",
"* A similar look at weekend hours shows a slow build in the morning with fairly steady traffic until evening."
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {
"scrolled": false
},
"outputs": [
{
"data": {
"text/plain": [
"count 12.0000\n",
"mean 4,767.5037\n",
"std 189.9449\n",
"min 4,374.8346\n",
"25% 4,676.7308\n",
"50% 4,880.0964\n",
"75% 4,907.9511\n",
"max 4,928.3020\n",
"Name: traffic_volume, dtype: float64"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"
"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# create month column and convert info in date_time column to months 1-12\n",
"day_traffic[\"month\"] = day_traffic[\"date_time\"].dt.month\n",
"# group daytime by month and get the mean column values for each month\n",
"day_traffic_month_group = day_traffic.groupby(\"month\").mean()\n",
"# basic stats for daytime month group mean traffic volume\n",
"display(day_traffic_month_group[\"traffic_volume\"].describe())\n",
"# line plot of daytime month group mean traffic volumes\n",
"day_traffic_month_group[\"traffic_volume\"].plot.line(c=\"#7A0019\")\n",
"plt.title(\"Daytime Mean Traffic Volume by Month\")\n",
"plt.yticks([4400,4600,4800], [4400,4600,4800])\n",
"plt.xlabel(\"\")\n",
"plt.xticks([1,2,3,4,5,6,7,8,9,10,11,12],[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\n",
" \"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"])\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"
"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# group July by year\n",
"july_months = traffic[traffic[\"date_time\"].dt.month == 7]\n",
"july_yearly_group = july_months.groupby(traffic[\"date_time\"].dt.year)\n",
"# line plot of July yearly group mean traffic volume\n",
"july_yearly_group[\"traffic_volume\"].mean().plot.line(c=\"#7A0019\")\n",
"plt.title(\"July Mean Traffic Volume by Year\")\n",
"plt.xlabel(\"\")\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {
"scrolled": false
},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"
"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# create day_of_week column and convert info in date_time column to days 0-6\n",
"day_traffic[\"day_of_week\"] = day_traffic[\"date_time\"].dt.dayofweek\n",
"# group daytime by day of week and get the mean column values for each day\n",
"day_traffic_day_group = day_traffic.groupby(\"day_of_week\").mean()\n",
"# line plot of daytime week of day group mean traffic volumes\n",
"day_traffic_day_group[\"traffic_volume\"].plot.line(c=\"#7A0019\")\n",
"plt.title(\"Daytime Mean Traffic Volume by Day\")\n",
"plt.yticks([3500,4000,4500,5000],[3500,4000,4500,5000])\n",
"plt.xlabel(\"\")\n",
"plt.xticks([0,1,2,3,4,5,6],[\"Mon\",\"Tue\",\"Wed\",\"Thur\",\"Fri\",\"Sat\",\"Sun\"])\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"
"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# create an hour column and convert info in date_time column to hours 0 to 23\n",
"day_traffic[\"hour\"] = day_traffic[\"date_time\"].dt.hour\n",
"# group daytime into weekdays (4=Friday) and weekends (5=Saturday)\n",
"weekdays = day_traffic[day_traffic[\"day_of_week\"] <= 4]\n",
"weekends = day_traffic[day_traffic[\"day_of_week\"] >= 5]\n",
"# group weekday entries by hour and get the mean column values for each hour\n",
"weekdays_hours_group = weekdays.groupby(\"hour\").mean()\n",
"# group weekend entries by hour and get the mean column values for each hour\n",
"weekends_hours_group = weekends.groupby(\"hour\").mean()\n",
"# basic stats for daytime weekday hour group mean traffic volume\n",
"# display(weekdays_hours_group[\"traffic_volume\"].describe())\n",
"# create two graphs\n",
"plt.figure(figsize=(10,6))\n",
"# line plot of weekdays hours group mean traffic volumes \n",
"plt.subplot(2,2,1)\n",
"weekdays_hours_group[\"traffic_volume\"].plot.line(c=\"#7A0019\")\n",
"plt.title(\"Weekday Traffic Volume by Hour\")\n",
"plt.ylim(0,6500)\n",
"# line plot of weekends hours group mean traffic volumes\n",
"plt.subplot(2,2,2)\n",
"weekends_hours_group[\"traffic_volume\"].plot.line(c=\"#7A0019\")\n",
"plt.title(\"Weekend Traffic Volulme by Hour\")\n",
"plt.ylim(0,6500)\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Nightime Group"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"
"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# line plot for nighttime traffic vollume by hour\n",
"night_traffic[\"hour\"] = night_traffic[\"date_time\"].dt.hour\n",
"nighttime_hours_group = night_traffic.groupby(\"hour\").mean()\n",
"nighttime_hours_group[\"traffic_volume\"].plot.bar(color=\"#FFCC33\")\n",
"plt.ylim(0,6000)\n",
"plt.title(\"Nightime Mean Traffic Volume by Hour\")\n",
"plt.xlabel(\"\")\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Weather\n",
"### Part 1\n",
"There are small correlations between daytime traffic volume and measurable amounts of snow and rain. Neither of these associations would be obvious though.\n",
"* The snow correlation is probably just an artifact due to the low sample number.\n",
"* The subtle relationship between rain and traffic volume appears from the scatter chart to be less causation than simple correlation. It is likely that there are simply a fair number of rainy days in this area."
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
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