All Projects → datadesk → Homeless Arrests Analysis

datadesk / Homeless Arrests Analysis

A Los Angeles Times analysis of arrests of the homeless by the LAPD

Programming Languages

r
7636 projects

Projects that are alternatives of or similar to Homeless Arrests Analysis

Notebooks
All of our computational notebooks
Stars: ✭ 292 (+450.94%)
Mutual labels:  news, journalism, jupyter-notebook, data-analysis
Startr
A template for data journalism in R
Stars: ✭ 69 (+30.19%)
Mutual labels:  news, journalism, data-analysis
Are You Fake News
Bias detection in the news. Back and front end for areyoufakenews.com
Stars: ✭ 105 (+98.11%)
Mutual labels:  journalism, jupyter-notebook, media
California Coronavirus Data
The Los Angeles Times' independent tally of coronavirus cases in California.
Stars: ✭ 188 (+254.72%)
Mutual labels:  news, journalism, jupyter-notebook
Web Publisher
Superdesk Publisher - the next generation publishing platform for journalists and newsrooms.
Stars: ✭ 82 (+54.72%)
Mutual labels:  news, journalism, media
kobe-every-shot-ever
A Los Angeles Times analysis of Every shot in Kobe Bryant's NBA career
Stars: ✭ 66 (+24.53%)
Mutual labels:  news, journalism, data-analysis
Data Analysis And Machine Learning Projects
Repository of teaching materials, code, and data for my data analysis and machine learning projects.
Stars: ✭ 5,166 (+9647.17%)
Mutual labels:  jupyter-notebook, data-analysis
Cookbook 2nd
IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018
Stars: ✭ 704 (+1228.3%)
Mutual labels:  jupyter-notebook, data-analysis
Visualization Of Global Terrorism Database
📊 Visualization of GTD with py Plotly lib, including amazing graphs and animation 📼
Stars: ✭ 16 (-69.81%)
Mutual labels:  jupyter-notebook, data-analysis
Resources
PyMC3 educational resources
Stars: ✭ 930 (+1654.72%)
Mutual labels:  jupyter-notebook, data-analysis
Pydata Notebook
利用Python进行数据分析 第二版 (2017) 中文翻译笔记
Stars: ✭ 4,300 (+8013.21%)
Mutual labels:  jupyter-notebook, data-analysis
Skdata
Python tools for data analysis
Stars: ✭ 16 (-69.81%)
Mutual labels:  jupyter-notebook, data-analysis
Data Science On Gcp
Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017
Stars: ✭ 864 (+1530.19%)
Mutual labels:  jupyter-notebook, data-analysis
Qs ledger
Quantified Self Personal Data Aggregator and Data Analysis
Stars: ✭ 559 (+954.72%)
Mutual labels:  jupyter-notebook, data-analysis
Cookbook 2nd Code
Code of the IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018 [read-only repository]
Stars: ✭ 541 (+920.75%)
Mutual labels:  jupyter-notebook, data-analysis
Pandas exercises
Practice your pandas skills!
Stars: ✭ 7,140 (+13371.7%)
Mutual labels:  jupyter-notebook, data-analysis
Courses
Quiz & Assignment of Coursera
Stars: ✭ 454 (+756.6%)
Mutual labels:  jupyter-notebook, data-analysis
Spring2017 proffosterprovost
Introduction to Data Science
Stars: ✭ 18 (-66.04%)
Mutual labels:  jupyter-notebook, data-analysis
Census Data Aggregator
Combine U.S. census data responsibly
Stars: ✭ 28 (-47.17%)
Mutual labels:  news, journalism
Crunchbase Ml
Merge and Acquisitions Prediction based on M&A information from Crunchbase.
Stars: ✭ 20 (-62.26%)
Mutual labels:  jupyter-notebook, data-analysis

homeless-arrests-analysis

By Christine Zhang

The Los Angeles Times conducted an analysis of arrests of the homeless by the Los Angeles Police Department.

The results were reported in a February 4, 2018, Los Angeles Times story titled "L.A. leaders oppose 'criminalizing' homeless people. But thousands are jailed for minor offenses".

The Times' findings and analysis are available in a Jupyter notebook in this repository.

Arrestees whose home addresses were recorded as “transient” (sometimes spelled as “trasient” in the data) were classified as homeless.

There were six days in 2011 for which arrests data were not available: Feb. 20th, March 17th, Apr. 17th, May 18th, June 11th and Aug. 4th. Arrest figures were prorated for the months with the missing dates to ensure consistency of year-to-year comparisons.

The story reports how many individual homeless arrests were made, regardless of whether the arrestee was cited on multiple charges. The top offenses, by contrast, were determined by analyzing each charge separately.

The top offenses graphic groups charge codes into the following categories:

  • Failure to appear in court includes charges listed under charge codes 40508(A)VC, 853.7PC and 853.8PC
  • Drug possession includes charges listed under 11350(A)HS, 11350HS, 11351HS, 11357(A)HS, 11357(B)HS, 11357(C)HS, 11357HS, 11375(B)2HS, 11377(A)1HS, 11377(A)HS, 11377HS, 11550(A)HS, 4060BP and 4573.6PC
  • Supervision violation (parole/probation) includes charges listed under 1203.2(A)PC, 1203.2PC, 18 3606US, 3000.08CPC, 3000.08FPC, 3056PC, 3454(C)PC, 3454PC, 3455(A)4PC, 3455(A)PC, 3455(B)1PC and 3455(C)PC
  • Shoplifting includes charges listed under 18 1708, 459.5PC, 484(A)PC, 484E(A)PC, 484E(B)PC, 484E(D)PC, 484F(A)PC, 484PC, 484PCTFMV, 485PC, 488PC, 490.2PC, 490.5(A)PC, 490PC, 537(A)(1)PC, 587CPC, 666.5(A)PC, 666.5PC, 666(A)PC, 666PC, A484PC and A488PC
  • Trespassing includes charges listed under 369I(A)PC, 419PC, 484F(A)PC, 555PC, 602.1(A)PC, 602.1(B)PC, 602.5(A)PC, 602.5(B)PC, 602(A)PC, 602(D)PC, 602(J)PC, 602(K)PC, 602(L)(1)PC, 602(M)PC, 602(N)PC, 602(O)(1)PC, 602(O)(2)PC, 602(O)PC, 602(P)PC, 602(Q)PC, 602(S)PC, 602(U)(1)PC, 602PC, 647(E)PC and 647(H)PCLPP.

In October 2016, the LAPD began restricting the number of charges it reported on its daily arrest logs to three. This change does not affect the overall patterns presented in this story, as the majority of arrestees were booked on three or fewer charges.

The data file published with this repository was prepared as part of an unpublished processing script. The raw LAPD data includes names and other identifying information about arrestees that The Times has chosen to withhold.

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].