{"id":6631,"date":"2017-10-08T10:44:47","date_gmt":"2017-10-08T15:44:47","guid":{"rendered":"https:\/\/rud.is\/b\/?p=6631"},"modified":"2018-03-10T07:54:25","modified_gmt":"2018-03-10T12:54:25","slug":"tragic-documentation","status":"publish","type":"post","link":"https:\/\/rud.is\/b\/2017\/10\/08\/tragic-documentation\/","title":{"rendered":"Tragic Documentation"},"content":{"rendered":"
\nNOTE: If the usual aggregators are picking this up and there are humans curating said aggregators, this post is\/was not intended as something to go into the “data science” aggregation sites. Just personal commentary with code in the event someone stumbles across it and wanted to double check me. These “data-dives” help me cope with these type of horrible events.<\/p>\n

The “data science” feed URL is https:\/\/rud.is\/b\/category\/r\/feed\/<\/span>.\n<\/div>\n

I saw the story<\/a> about body camera footage from a officers involved police stop & fatal shooting in Salt Lake City.
\nThe indiviual killed was a felon — convicted of aggravated assuault — with an outstanding warrant.<\/p>\n

He tried to run. At some point in the brief chase he pivoted and appeared to be reaching for a weapon — likely a knife, which was confirmed after the fact.<\/p>\n

One officer pulled a tazer. Another pulled a gun. Officer Fox — the one who fired the gun — said he was terrified by how close Mr. Harmon was to the officers when Mr. Harmon stopped and turned toward them.<\/p>\n

I wasn’t there. I don’t risk getting injured or killed in the line of duty every day. I don’t face down armed suspects in fast-moving, tense situations.<\/p>\n

But, I’m weary of this being a cut+paste story that is a nigh weekly event in America.<\/p>\n

Officers are killed by suspects as well. It’s equally tragic.<\/p>\n

Below is just “data”. Just a visual documentary of where we are 17-ish years into the 21st Century in America.<\/p>\n

And, most of America seems to be OK with this. Then again, most of America is OK with the “price of freedom” being one mass shooting a day.<\/p>\n

I’m not.<\/p>\n

I scaled the Y axis the same in both faceted charts to make it easier to glance across both sets of tragedies.<\/p>\n

This was generated on Sunday, October 8, 2017. If you run the code after that date, remove the saved data files and tweak the Y-scale limits since the death toll will rise.<\/p>\n

\"\"<\/a><\/p>\n

\"\"<\/a><\/p>\n

library(httr)\r\nlibrary(rvest)\r\nlibrary(stringi)\r\nlibrary(hrbrthemes)\r\nlibrary(tidyverse)\r\n\r\nread.table(sep=":", stringsAsFactors=FALSE, header=TRUE, \r\n           text="race:description\r\nW:White, non-Hispanic\r\nB:Black, non-Hispanic\r\nH:Hispanic\r\nN:Native American\r\nA:Asian\r\nNone:Other\/Unknown\r\nO:Other") -> rdf\r\n\r\nwapo_data_url <- "https:\/\/raw.githubusercontent.com\/washingtonpost\/data-police-shootings\/master\/fatal-police-shootings-data.csv"\r\nshootings_file <- basename(wapo_data_url)\r\nif (!file.exists(shootings_file)) download.file(wapo_data_url, shootings_file)\r\n\r\ncols(\r\n  id = col_integer(),\r\n  name = col_character(),\r\n  date = col_date(format = ""),\r\n  manner_of_death = col_character(),\r\n  armed = col_character(),\r\n  age = col_integer(),\r\n  gender = col_character(),\r\n  race = col_character(),\r\n  city = col_character(),\r\n  state = col_character(),\r\n  signs_of_mental_illness = col_character(),\r\n  threat_level = col_character(),\r\n  flee = col_character(),\r\n  body_camera = col_character()\r\n) -> shootings_cols\r\n\r\nread_csv(shootings_file, col_types = shootings_cols) %>% \r\n  mutate(yr = lubridate::year(date), wk = lubridate::week(date)) %>% \r\n  filter(yr >= 2017) %>% \r\n  mutate(race = ifelse(is.na(race), "None", race)) %>% \r\n  mutate(race = ifelse(race=="O", "None", race)) %>% \r\n  count(race, wk) %>% \r\n  left_join(rdf, by="race") %>% \r\n  mutate(description = factor(description, levels=rdf$description)) -> xdf\r\n\r\nlod_url <- "https:\/\/www.odmp.org\/search\/year\/2017?ref=sidebar"\r\nlod_rds <- "officer_lod.rds"\r\nif (!file.exists(lod_rds)) {\r\n  res <- httr::GET(lod_url)\r\n  write_rds(res, lod_rds)\r\n} else {\r\n  res <- read_rds(lod_rds)\r\n}\r\npg <- httr::content(res, as="parsed", encoding = "UTF-8")\r\n\r\nhtml_nodes(pg, xpath=".\/\/table[contains(., 'Detective Chad William Parque')]") %>% \r\n  html_nodes(xpath=".\/\/td[contains(., 'EOW')]") %>% \r\n  html_text() %>% \r\n  stri_extract_all_regex("(EOW:[[:space:]]+(.*)\\n|Cause of Death:[[:space:]]+(.*)\\n)", simplify = TRUE) %>% \r\n  as_data_frame() %>% \r\n  mutate_all(~{\r\n    stri_replace_first_regex(.x, "^[[:alpha:][:space:]]+: ", "") %>% \r\n      stri_trim_both() \r\n    }\r\n  ) %>% \r\n  as_data_frame() %>%  \r\n  set_names(c("day", "cause")) %>% \r\n  mutate(day = as.Date(day, "%A, %B %e, %Y"), wk = lubridate::week(day))%>% \r\n  count(wk, cause) -> odf \r\n\r\nggplot(xdf, aes(wk, n)) +\r\n  geom_segment(aes(xend=wk, yend=0)) +\r\n  scale_y_comma(limits=c(0,15)) +\r\n  facet_wrap(~description, scales="free_x") +\r\n  labs(x="2017 Week #", y="# Deaths",\r\n       title="Weekly Fatal Police Shootings in 2017",\r\n       subtitle=sprintf("2017 total: %s", scales::comma(sum(xdf$n))),\r\n       caption="Source: https:\/\/www.washingtonpost.com\/graphics\/national\/police-shootings-2017\/") +\r\n  theme_ipsum_rc(grid="Y")\r\n\r\ncount(odf, cause, wt=n, sort=TRUE) -> ordr\r\n\r\nmutate(odf, cause = factor(cause, levels=ordr$cause)) %>% \r\n  ggplot(aes(wk, n)) +\r\n  geom_segment(aes(xend=wk, yend=0)) +\r\n  scale_x_continuous(limits=c(0, 40)) +\r\n  scale_y_comma(limits=c(0,15)) +\r\n  facet_wrap(~cause, ncol=3, scales="free_x") +\r\n  labs(x="2017 Week #", y="# Deaths",\r\n       title="Weekly Officer Line of Duty Deaths in 2017",\r\n       subtitle=sprintf("2017 total: %s", scales::comma(sum(odf$n))),\r\n       caption="Source: https:\/\/www.odmp.org\/search\/year\/2017") +\r\n  theme_ipsum_rc(grid="Y")<\/code><\/pre>\n","protected":false},"excerpt":{"rendered":"
NOTE: If the usual aggregators are picking this up and there are humans curating said aggregators, this post is\/was not intended as something to go into the “data science” aggregation sites. Just personal commentary with code in the event someone stumbles across it and wanted to double check me. These “data-dives” help me cope with […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"jetpack_post_was_ever_published":false,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"activitypub_content_warning":"","activitypub_content_visibility":"","activitypub_max_image_attachments":3,"activitypub_interaction_policy_quote":"anyone","activitypub_status":"","footnotes":""},"categories":[775],"tags":[810],"class_list":["post-6631","post","type-post","status-publish","format-standard","hentry","category-commentary","tag-post"],"yoast_head":"\nTragic Documentation - rud.is<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/rud.is\/b\/2017\/10\/08\/tragic-documentation\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Tragic Documentation - rud.is\" \/>\n<meta property=\"og:description\" content=\"NOTE: If the usual aggregators are picking this up and there are humans curating said aggregators, this post is\/was not intended as something to go into the “data science” aggregation sites. 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It's a mix of tech, Mac, linux, data\u2026","rel":"","context":"In "Commentary"","block_context":{"text":"Commentary","link":"https:\/\/rud.is\/b\/category\/commentary\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":4674,"url":"https:\/\/rud.is\/b\/2016\/11\/22\/the-devil-is-in-the-details\/","url_meta":{"origin":6631,"position":2},"title":"The Devil is in the Details","author":"hrbrmstr","date":"2016-11-22","format":false,"excerpt":"The [first public informational video](https:\/\/www.greatagain.gov\/news\/message-president-elect-donald-j-trump.html) from the PEOTUS didn't add a full transcript of the video to the web site and did not provide (at least as of 0700 EST on 2016-11-22) their own text annotations\/captions to the video. Google's (YouTube's) auto-captioning (for the most part) worked and it's most\u2026","rel":"","context":"In "Commentary"","block_context":{"text":"Commentary","link":"https:\/\/rud.is\/b\/category\/commentary\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":11694,"url":"https:\/\/rud.is\/b\/2018\/12\/31\/exploring-2018-r-bloggers-r-weekly-posts-with-feedly-the-seymour-package\/","url_meta":{"origin":6631,"position":3},"title":"Exploring 2018 R-bloggers & R Weekly Posts with Feedly & the ‘seymour’ package","author":"hrbrmstr","date":"2018-12-31","format":false,"excerpt":"Well, 2018 has flown by and today seems like an appropriate time to take a look at the landscape of R bloggerdom as seen through the eyes of readers of R-bloggers and R Weekly. We'll do this via a new package designed to make it easier to treat Feedly as\u2026","rel":"","context":"In "Feedly"","block_context":{"text":"Feedly","link":"https:\/\/rud.is\/b\/category\/feedly\/"},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2018\/12\/author-month-1.png?fit=960%2C864&ssl=1&resize=350%2C200","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2018\/12\/author-month-1.png?fit=960%2C864&ssl=1&resize=350%2C200 1x, https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2018\/12\/author-month-1.png?fit=960%2C864&ssl=1&resize=525%2C300 1.5x, https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2018\/12\/author-month-1.png?fit=960%2C864&ssl=1&resize=700%2C400 2x"},"classes":[]},{"id":2896,"url":"https:\/\/rud.is\/b\/2014\/02\/09\/data-driven-security-roundup-betapert-shiny-honeypots-passwords-reproducible-research\/","url_meta":{"origin":6631,"position":4},"title":"Data Driven Security Roundup: betaPERT, Shiny, Honeypots, Passwords & Reproducible Research","author":"hrbrmstr","date":"2014-02-09","format":false,"excerpt":"Jay Jacobs (@jayjacobs)\u2014my co-author of the soon-to-be-released book [Data-Driven Security](http:\/\/amzn.to\/ddsec)\u2014& I have been hard at work over at the book's [sister-blog](http:\/\/dds.ec\/blog) cranking out code to help security domain experts delve into the dark art of data science. We've covered quite a bit of ground since January 1st, but I'm using\u2026","rel":"","context":"In "Data Analysis"","block_context":{"text":"Data Analysis","link":"https:\/\/rud.is\/b\/category\/data-analysis-2\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":4670,"url":"https:\/\/rud.is\/b\/2016\/11\/21\/this-is-not-cool\/","url_meta":{"origin":6631,"position":5},"title":"This is not cool.","author":"hrbrmstr","date":"2016-11-21","format":"aside","excerpt":"First it was OpenDNS selling their souls (and, [y]our data) to Cisco (whom I don't trust at all with my data). Now, it's Dyn \u2014 \u2014 doing something even worse (purely my own opinion). I'm currently evaluating offerings by [FoolDNS](http:\/\/www.fooldns.com\/fooldns-community\/english-version\/) & [GreenTeam](http:\/\/members.greentm.co.uk\/) as alternatives and I'll post updates as I\u2026","rel":"","context":"In "Commentary"","block_context":{"text":"Commentary","link":"https:\/\/rud.is\/b\/category\/commentary\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]}],"jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/rud.is\/b\/wp-json\/wp\/v2\/posts\/6631","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/rud.is\/b\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/rud.is\/b\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/rud.is\/b\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/rud.is\/b\/wp-json\/wp\/v2\/comments?post=6631"}],"version-history":[{"count":0,"href":"https:\/\/rud.is\/b\/wp-json\/wp\/v2\/posts\/6631\/revisions"}],"wp:attachment":[{"href":"https:\/\/rud.is\/b\/wp-json\/wp\/v2\/media?parent=6631"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/rud.is\/b\/wp-json\/wp\/v2\/categories?post=6631"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/rud.is\/b\/wp-json\/wp\/v2\/tags?post=6631"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}