Motor Vehicle Fatal Crashes by Posted Speed Limit

JohnSnowLabs

Files Size Format Created Updated License Source
2 59kB csv zip 1 week ago John Snow Labs Standard License John Snow Labs Bureau of Transportation Statistics
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Data Files

motor-vehicle-fatal-crashes-by-posted-speed-limit-csv  

This is a preview version. There might be more data in the original version.

Field information

Field Name Order Type (Format) Description
Year 1 date (%Y-%m-%d) Year of data
Total_Fatal_Crashes 2 integer Total number of fatal accidents
Fatal_Crashes_Under_Speed_Limit_Under_55_Mph 3 integer Number of crashes when speed limit of vehicle is under 55mph
Fatal_Crashes_Under_Speed_No_Statutory_Limit 4 integer Number of crashes when speed limit of vehicle is 5,10,15,20 or 25mph
Fatal_Crashes_Under_Speed_Limit_30_35_Mph 5 integer Number of crashes when speed limit of vehicle is 30-35mph
Fatal_Crashes_Under_Speed_Limit_40_45_Mph 6 integer Number of crashes when speed limit of vehicle is 40-45mph
Fatal_Crashes_Under_Speed_Limit_50_Mph 7 integer Number of crashes when speed limit of vehicle is 50mph
Fatal_Crashes_Under_Speed_Limit_55_Mph_Above 8 integer Number of crashes when speed limit of vehicle is above 50mph
Fatal_Crashes_Under_Speed_Limit_55_Mph 9 integer Number of crashes when speed limit of vehicle is 55mph
Fatal_Crashes_Under_Speed_Limit_60_Mph 10 integer Number of crashes when speed limit of vehicle is 60mph
Fatal_Crashes_Under_Speed_Limit_65_Mph 11 integer Number of crashes when speed limit of vehicle is 65mph
Fatal_Crashes_Under_Speed_Limit_70_Mph 12 integer Number of crashes when speed limit of vehicle is 70mph
Fatal_Crashes_Under_Speed_Over_70_Mph 13 integer Number of crashes when speed limit of vehicle is over 70mph
Fatal_Crashes_Under_Speed_Limit_Unknown 14 integer Number of crashes when speed limit of vehicle is unknown

motor-vehicle-fatal-crashes-by-posted-speed-limit_zip  

This is a preview version. There might be more data in the original version.

Read me

Import into your tool

If you are using R here's how to get the data you want quickly loaded:

install.packages("jsonlite")
library("jsonlite")

json_file <- "http://datahub.io/JohnSnowLabs/motor-vehicle-fatal-crashes-by-posted-speed-limit/datapackage.json"
json_data <- fromJSON(paste(readLines(json_file), collapse=""))

# access csv file by the index starting from 1
path_to_file = json_data$resources$path[1][1]
data <- read.csv(url(path_to_file))
print(data)

In order to work with Data Packages in Pandas you need to install the Frictionless Data data package library and the pandas extension:

pip install datapackage
pip install jsontableschema-pandas

To get the data run following code:

import datapackage

data_url = "http://datahub.io/JohnSnowLabs/motor-vehicle-fatal-crashes-by-posted-speed-limit/datapackage.json"

# to load Data Package into storage
storage = datapackage.push_datapackage(data_url, 'pandas')

# data frames available (corresponding to data files in original dataset)
storage.buckets

# you can access datasets inside storage, e.g. the first one:
storage[storage.buckets[0]]

For Python, first install the `datapackage` library (all the datasets on DataHub are Data Packages):

pip install datapackage

To get Data Package into your Python environment, run following code:

from datapackage import Package

package = Package('http://datahub.io/JohnSnowLabs/motor-vehicle-fatal-crashes-by-posted-speed-limit/datapackage.json')

# get list of resources:
resources = package.descriptor['resources']
resourceList = [resources[x]['name'] for x in range(0, len(resources))]
print(resourceList)

data = package.resources[0].read()
print(data)

If you are using JavaScript, please, follow instructions below:

Install data.js module using npm:

  $ npm install data.js

Once the package is installed, use the following code snippet:

const {Dataset} = require('data.js')

const path = 'http://datahub.io/JohnSnowLabs/motor-vehicle-fatal-crashes-by-posted-speed-limit/datapackage.json'

// We're using self-invoking function here as we want to use async-await syntax:
(async () => {
  const dataset = await Dataset.load(path)

  // Get the first data file in this dataset
  const file = dataset.resources[0]
  // Get a raw stream
  const stream = await file.stream()
  // entire file as a buffer (be careful with large files!)
  const buffer = await file.buffer
})()

Install the datapackage library created specially for Ruby language using gem:

gem install datapackage

Now get the dataset and read the data:

require 'datapackage'

path = 'http://datahub.io/JohnSnowLabs/motor-vehicle-fatal-crashes-by-posted-speed-limit/datapackage.json'

package = DataPackage::Package.new(path)
# So package variable contains metadata. You can see it:
puts package

# Read data itself:
resource = package.resources[0]
data = resource.read
puts data
Datapackage.json