Motorcycle Rider Safety Data

JohnSnowLabs

Files Size Format Created Updated License Source
2 43kB csv zip 3 months ago John Snow Labs Standard License John Snow Labs Bureau of Transportation Statistics
Download

Data Files

File Description Size Last changed Download
motorcycle-rider-safety-data-csv 2kB csv (2kB) , json (11kB)
motorcycle-rider-safety-data_zip Compressed versions of dataset. Includes normalized CSV and JSON data with original data and datapackage.json. 6kB zip (6kB)

motorcycle-rider-safety-data-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_Number_Of_Fatalities 2 integer Total number of motorcycle rider fatalities
Total_Number_Of_Injured_Persons 3 integer Total number of injured persons in motorcycle accidents
Total_Number_Of_Motorcycle_Riders_Or_Operators_Involved_In_Crashes 4 integer Total number of persons involved in motorcycle crashes
Total_Vehicle_Miles_In_Millions 5 integer Total distance covered by vehicle in miles
Fatalities_Rates_Per_100_Million_Vehicle_Miles 6 number Rate of motorcycle fatalities per 100 million vehicle miles
Rates_Of_Injured_Persons_Per_100_Million_Vehicle_Miles 7 number Rates of injured persons in motorcycle crashes per 100 million vehicle miles
Rates_Of_Riders_Or_Operators_Involved_In_Crashes_Per_Vehicle_Miles 8 number Rates of Riders or Operators involved in motorcycle crashes per vehicle miles

Import into your tool

Data-cli or just data is the program to get and post your data with the datahub.
Use data with the datahub.io almost like you use git with the github. Here are installation instructions.

data get https://datahub.io/JohnSnowLabs/motorcycle-rider-safety-data
tree JohnSnowLabs/motorcycle-rider-safety-data
# Get a list of dataset's resources
curl -L -s https://datahub.io/JohnSnowLabs/motorcycle-rider-safety-data/datapackage.json | grep path

# Get resources

curl -L https://datahub.io/JohnSnowLabs/motorcycle-rider-safety-data/r/0.csv

curl -L https://datahub.io/JohnSnowLabs/motorcycle-rider-safety-data/r/1.zip

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

install.packages("jsonlite", repos="https://cran.rstudio.com/")
library("jsonlite")

json_file <- 'https://datahub.io/JohnSnowLabs/motorcycle-rider-safety-data/datapackage.json'
json_data <- fromJSON(paste(readLines(json_file), collapse=""))

# get list of all resources:
print(json_data$resources$name)

# print all tabular data(if exists any)
for(i in 1:length(json_data$resources$datahub$type)){
  if(json_data$resources$datahub$type[i]=='derived/csv'){
    path_to_file = json_data$resources$path[i]
    data <- read.csv(url(path_to_file))
    print(data)
  }
}

Note: You might need to run the script with root permissions if you are running on Linux machine

Install the Frictionless Data data package library and the pandas itself:

pip install datapackage
pip install pandas

Now you can use the datapackage in the Pandas:

import datapackage
import pandas as pd

data_url = 'https://datahub.io/JohnSnowLabs/motorcycle-rider-safety-data/datapackage.json'

# to load Data Package into storage
package = datapackage.Package(data_url)

# to load only tabular data
resources = package.resources
for resource in resources:
    if resource.tabular:
        data = pd.read_csv(resource.descriptor['path'])
        print (data)

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('https://datahub.io/JohnSnowLabs/motorcycle-rider-safety-data/datapackage.json')

# print list of all resources:
print(package.resource_names)

# print processed tabular data (if exists any)
for resource in package.resources:
    if resource.descriptor['datahub']['type'] == 'derived/csv':
        print(resource.read())

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 = 'https://datahub.io/JohnSnowLabs/motorcycle-rider-safety-data/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 list of all resources:
  for (const id in dataset.resources) {
    console.log(dataset.resources[id]._descriptor.name)
  }
  // get all tabular data(if exists any)
  for (const id in dataset.resources) {
    if (dataset.resources[id]._descriptor.format === "csv") {
      const file = dataset.resources[id]
      // Get a raw stream
      const stream = await file.stream()
      // entire file as a buffer (be careful with large files!)
      const buffer = await file.buffer
      // print data
      stream.pipe(process.stdout)
    }
  }
})()
Datapackage.json