Data-Journalism   404

« earlier    

Tools for Trust
list of tools for data journalism, fact-checking
data-journalism  disinformation 
29 days ago by pax
GitHub - gwk/muck
Build tool for data analysis projects
data-journalism  research  build  utility  workflow 
9 weeks ago by mjlassila
Some suburbs take only seconds to review red light camera citations, analysis shows - Chicago Tribune
The Tribune sought approval logs for a recent three-month period from a sampling of departments. Those logs chart down to the second when officers approve each ticket. Reporters could determine how long each officer typically spent to review a citation. On the high end, one officer’s median number of seconds for review — the midpoint of his review times — was about 24 seconds between citations.

But some officers were much faster. For Skokie Officer Steven Odeshoo, the median was 7 seconds.

On a recent morning, he showed the Tribune how: sitting in front of a 42-inch flat screen TV that instantly pulled up video after video, with special color-coded cues that let him know if the intersection had unique rules such as no turn on red, allowed him to fast-forward the videos to make a quicker judgment. With two quick clicks of the mouse, a ticket was approved or rejected, and the next suggested violation immediately began playing.

Faster still was Lynwood Officer Stevie Bradich, at 5 seconds. Her deputy chief explained that with the no-turn-on-red, they were relatively easy calls.

“I can see how that can be done in as short as 5 or 6 seconds, and have an approval with what is a true violation,” Shubert said. “Yes, it’s fast, but it’s a pretty fast process. You’re not actually inputting any numbers. It’s just a lot of mouse clicks.”

But one department acknowledged its numbers suggest problems. In Riverdale, one officer typically took 3 seconds to review tickets.
best  investigations  data-journalism  padjo  compciv  foia 
february 2018 by danwin
3 Smart Data Journalism Techniques that can help you find stories faster
Text processing has never been easier or more powerful. Across industries, analysts increasingly complement close reading with computational approaches to gain insight from large volumes of text. Companies, for instance, assess customer sentiment from millions of reviews or follow topics discussed on social media in real-time.

Meanwhile, the volume of documents available for journalistic inquiry has exploded: reams of information on government operations (Wikileaks Cablegate: 200,000 pages,) private wealth shelters (Paradise Papers: 13.4 million pages,) and public figures’ communication (Sarah Palin’s emails: 24,000 pages) leak, it seems, almost monthly.
data-journalism  data  machine-learning  compciv  machine-journalism 
january 2018 by danwin
Khartis - cartographie thématique
application de création de cartes de l'atelier de cartographie de SciencesPo.
mapping  data-journalism  dataviz  tool 
january 2018 by davidbenque
We Used Broadband Data We Shouldn’t Have — Here’s What Went Wrong | FiveThirtyEight
Over the summer, FiveThirtyEight published two stories on broadband internet access in the U.S. that were based on a data set made public by academic researchers who had acquired data from Catalist, a well-known political data firm. After further reporting, we can no longer vouch for the academics’ data set. The preponderance of evidence we’ve collected has led us to conclude that it is fundamentally flawed. That’s because:

The academics’ data does not provide an accurate picture of broadband use at the county level relative to other sources.
Some of the data that the academic researchers received from Catalist originated with a third-party commercial source, and Catalist acknowledged that it did not vet that data itself. The researchers and Catalist also disagree about what Catalist said the data represents and what it could be used for.
retractions  methodology  dirty-data  data-journalism 
january 2018 by danwin
Death & Dysfunction | An Special Investigation
Hey listers,

We published an 18-month data investigation into our state medical examiner system I wanted to share:

We fought for months to acquire a database of all 420,000 cases referred to NJ medical examiners over a 20 year period. Analysis revealed a system that’s on the brink of collapse. Our reporting lead us to cases of missing body parts, potential child murders going without investigation, innocent people languishing in jail and major lapses/conflicts of interest in police involved shooting investigations.

We’ll be posting the data, as well as the replication analysis my colleague did to check my work on in the coming days. We’ll also post our code to github once I clean it up and make it readable for humans.

If you like it, please share and we would love any feedback.
data-journalism  nicar  investigations 
december 2017 by danwin
Under Trump, E.P.A. Has Slowed Actions Against Polluters, and Put Limits on Enforcement Officers - The New York Times
The Times built a database of civil cases filed at the E.P.A. during the Trump, Obama and Bush administrations. During the first nine months under Mr. Pruitt’s leadership, the E.P.A. started about 1,900 cases, about one-third fewer than the number under President Barack Obama’s first E.P.A. director and about one-quarter fewer than under President George W. Bush’s over the same time period.
data-journalism  investigations 
december 2017 by danwin

« earlier    

related tags

***  analytics  article  best  bigdata  book  brexit  build  business  campaign-finance  case-study  census  china  cli  code  collection  compciv  compjoproject  counter-big-data  course  courses  crowdsourcing  csv  data-analysis  data-journalism  data-science  data-visualisation  data-visualization  data-viz  data  data_analysis  data_journalism  data_mining  database  databases  datajournalism  dataviz  ddj  death-data  design  digital-art  dirty-data  disinformation  econbasics  education  elections  explanation  facebook  fact-checking  fiction  foia  futurism  ge2017  guardian  inequality  infograph  inspiration  insults  interactive-journalism  interactive  investigations  jan18  journalism-analysis  journalism-training  journalism  leave  lists  literature  machine-journalism  machine-learning  mapping  may18  methodology  muckrock_crowdsourcing_ideas  muckrock_feature_ideas  news  newsflash  newspapers  nicar  online  osha  padjo  patterns  philosophy  policing  politics  polls  prediction  project-idea  remain  replicability  replication-crisis  research  retractions  reuters  search  segregation  shell  simulation  spreadsheets  statistics  storytelling  terminal  terrorism  textbook  to_foi  to_get  tool  tools  training  trends  trumpbot  twitter  unix  utility  vis-examples  visualization  washington-post  workflow 

Copy this bookmark: