Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

added new definitions and links #1058

Merged
merged 2 commits into from
Jun 27, 2017
Merged
Show file tree
Hide file tree
Changes from 1 commit
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
Prev Previous commit
fix markdown rendering, add underlines to links
  • Loading branch information
Brendan Sudol committed Jun 27, 2017
commit dcfcdfb835ae6466bbb132b75a6dd7777a82ed75
10 changes: 5 additions & 5 deletions content/datasets.yml
Original file line number Diff line number Diff line change
Expand Up @@ -4,27 +4,27 @@
download: 'http://s3-us-gov-west-1.amazonaws.com/cg-d3f0433b-a53e-4934-8b94-c678aa2cbaf3/estimated_crimes.csv'
- title: Hate Crime
description: |
The Hate Crime Statistics dataset provides annual statistics on the number of incidents, offenses, victims, and offenders in reported crimes that are motivated in whole, or in part, by an offender’s bias against the victim’s perceived race, gender, gender identity, religion, disability, sexual orientation, and ethnicity. Hate crime data is captured by including the element of bias in offenses already being reported to the UCR Program.<br /><br />All law enforcement agencies, whether they submit summary (SRS) or incident-based (NIBRS) reports, can contribute hate crime data to the UCR using forms specified to collect such information. Download this dataset to see totals for hate crimes across the country from 1991–2014.<br /><br />Please see the UCR resources provided by the the FBI for <a href="https://ucr.fbi.gov/hate-crime/2015/home/resource-pages/abouthatecrime_final">for more information on hate crime</a>.
The Hate Crime Statistics dataset provides annual statistics on the number of incidents, offenses, victims, and offenders in reported crimes that are motivated in whole, or in part, by an offender’s bias against the victim’s perceived race, gender, gender identity, religion, disability, sexual orientation, and ethnicity. Hate crime data is captured by including the element of bias in offenses already being reported to the UCR Program.<br /><br />All law enforcement agencies, whether they submit summary (SRS) or incident-based (NIBRS) reports, can contribute hate crime data to the UCR using forms specified to collect such information. Download this dataset to see totals for hate crimes across the country from 1991–2014.<br /><br />Please see the UCR resources provided by the the FBI for <a class="underline" href="https://ucr.fbi.gov/hate-crime/2015/home/resource-pages/abouthatecrime_final">for more information on hate crime</a>.
download: 'http://s3-us-gov-west-1.amazonaws.com/cg-d3f0433b-a53e-4934-8b94-c678aa2cbaf3/hate_crime.csv'
- title: Assaults on Law Enforcement Officers
description: |
The Assaults on Law Enforcement Officers dataset consists of reported assaults against law enforcement officers. The UCR Program defines law enforcement officers as individuals who ordinarily carry a firearm and a badge, have full arrest powers, and are paid from governmental funds set aside specifically to pay sworn law enforcement. Download this dataset to see totals for officers who were killed or assaulted in the line of duty from 1974–2014.
download: 'http://s3-us-gov-west-1.amazonaws.com/cg-d3f0433b-a53e-4934-8b94-c678aa2cbaf3/leoka.csv'
- title: Police Employee Data
description: |
The Police Employee dataset is made up of data collected annually about law enforcement officers and civilians employed by police departments. The dataset contains information about the number of officers and civilians employed and the rate of police employees per a location’s population. <br /><br />The Uniform Crime Reporting (UCR) Program defines law enforcement officers as individuals who ordinarily carry a firearm and a badge, have full arrest powers, and are paid from governmental funds set aside specifically for sworn law enforcement representatives.<br /><br />Civilian employees include personnel such as clerks, radio dispatchers, meter attendants, stenographers, jailers, correctional officers, and mechanics provided that they are full-time employees of the agency.<br /><br />Please see the UCR resources provided by the the FBI for <a href="https://ucr.fbi.gov/crime-in-the-u.s/2014/crime-in-the-u.s.-2014/police-employee-data/main">more information on police employee data</a>. Download this dataset to see how many full-time sworn and civilian law enforcement employees have served in your state from 1960–2014.
The Police Employee dataset is made up of data collected annually about law enforcement officers and civilians employed by police departments. The dataset contains information about the number of officers and civilians employed and the rate of police employees per a location’s population. <br /><br />The Uniform Crime Reporting (UCR) Program defines law enforcement officers as individuals who ordinarily carry a firearm and a badge, have full arrest powers, and are paid from governmental funds set aside specifically for sworn law enforcement representatives.<br /><br />Civilian employees include personnel such as clerks, radio dispatchers, meter attendants, stenographers, jailers, correctional officers, and mechanics provided that they are full-time employees of the agency.<br /><br />Please see the UCR resources provided by the the FBI for <a class="underline" href="https://ucr.fbi.gov/crime-in-the-u.s/2014/crime-in-the-u.s.-2014/police-employee-data/main">more information on police employee data</a>. Download this dataset to see how many full-time sworn and civilian law enforcement employees have served in your state from 1960–2014.
download: 'http://s3-us-gov-west-1.amazonaws.com/cg-d3f0433b-a53e-4934-8b94-c678aa2cbaf3/pe_employee_data.csv'
- title: Uniform Crime Reporting Program Participation Data
description: |
Participation data provides Information about agencies that report summary or incident-based data to the UCR program. This data helps understand the percentage of the population covered by reported data. <br /><br />Please see the resources provided by the FBI for <a href="https://ucr.fbi.gov/nibrs/2014/tables/main">more information on participation data</a>. Download this dataset to see how many law enforcement agencies have reported crime data to the FBI by state and year from 1960–2014.
Participation data provides Information about agencies that report summary or incident-based data to the UCR program. This data helps understand the percentage of the population covered by reported data. <br /><br />Please see the resources provided by the FBI for <a class="underline" href="https://ucr.fbi.gov/nibrs/2014/tables/main">more information on participation data</a>. Download this dataset to see how many law enforcement agencies have reported crime data to the FBI by state and year from 1960–2014.
download: 'http://s3-us-gov-west-1.amazonaws.com/cg-d3f0433b-a53e-4934-8b94-c678aa2cbaf3/ucr_participation.csv'
- title: Cargo Theft
description: |
Cargo Theft is the criminal taking of any cargo including, but not limited to, goods, chattels, money, or baggage that constitutes in whole or in part, a commercial shipment of freight moving in commerce … [and] for purposes of this definition, cargo shall be deemed as ‘moving in commerce’ at tall points between the point of origin and the final destination. <br /><br />Please see the cargo theft user manual provided by the FBI for <a href="https://ucr.fbi.gov/cargo-theft-user-manual">more information on cargo theft data</a>. Download this dataset to see totals for cargo thefts from 2013–2014.
Cargo Theft is the criminal taking of any cargo including, but not limited to, goods, chattels, money, or baggage that constitutes in whole or in part, a commercial shipment of freight moving in commerce … [and] for purposes of this definition, cargo shall be deemed as ‘moving in commerce’ at tall points between the point of origin and the final destination. <br /><br />Please see the cargo theft user manual provided by the FBI for <a class="underline" href="https://ucr.fbi.gov/cargo-theft-user-manual">more information on cargo theft data</a>. Download this dataset to see totals for cargo thefts from 2013–2014.
download: 'http://s3-us-gov-west-1.amazonaws.com/cg-d3f0433b-a53e-4934-8b94-c678aa2cbaf3/cargo_theft.csv'
- title: Human Trafficking
description: |
The FBI began accepting data on human trafficking from states in January 2013. Human trafficking includes offenses related to commercial sex acts and involuntary servitude. Human Trafficking data available through the Crime Data Explorer includes offenses and arrests recorded by state and local agencies that currently have the ability to report this crime to the national UCR Program.<br /><br />Please see the resources provided by the FBI for <a href="https://ucr.fbi.gov/human-trafficking">more information on human trafficking</a>. Download this dataset to see totals by state and offense for commercial sex acts and involuntary servitude from 2013–2014.
The FBI began accepting data on human trafficking from states in January 2013. Human trafficking includes offenses related to commercial sex acts and involuntary servitude. Human Trafficking data available through the Crime Data Explorer includes offenses and arrests recorded by state and local agencies that currently have the ability to report this crime to the national UCR Program.<br /><br />Please see the resources provided by the FBI for <a class="underline" href="https://ucr.fbi.gov/human-trafficking">more information on human trafficking</a>. Download this dataset to see totals by state and offense for commercial sex acts and involuntary servitude from 2013–2014.
download: 'http://s3-us-gov-west-1.amazonaws.com/cg-d3f0433b-a53e-4934-8b94-c678aa2cbaf3/human_trafficking.csv'
- title: US territory data
description: |
Expand Down
2 changes: 1 addition & 1 deletion src/util/md.js
Original file line number Diff line number Diff line change
Expand Up @@ -3,7 +3,7 @@ import md from 'markdown-it'
// adopted from examples in markdown-it docs
// https://github.com/markdown-it/markdown-it/blob/master/docs/architecture.md#renderer

const markdown = md()
const markdown = md({ html: true, xhtmlOut: true })

const defaultLinkRender =
markdown.renderer.rules.link_open ||
Expand Down