mdlincoln

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................................. ........... ....II?==,........................
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mdlincoln

SELECT DISTINCT ?id ?pref_name ?birth_year ?death_year ?birth_place ?death_place ?nationality ?bio_description ?scope_note ?pref_role
  WHERE {
    ?artist skos:inScheme ulan: ;
            dc:identifier ?id ;
            rdf:type gvp:PersonConcept ;
            dc:identifier ?id ;
            xl:prefLabel [xl:literalForm ?pref_name] .
    
    ?artist foaf:focus [gvp:biographyPreferred ?bio] .
    ?bio schema:gender aat:300189557 .

mdlincoln

Keybase proof

I hereby claim:

• I am mdlincoln on github.
• I am mdlincoln (https://keybase.io/mdlincoln) on keybase.
• I have a public key whose fingerprint is 5271 D84C 193A 4B9B 945C D4AA D3AB 2911 2CAD 6E14

To claim this, I am signing this object:

mdlincoln

Keybase proof

I hereby claim:

• I am mdlincoln on github.
• I am mdlincoln (https://keybase.io/mdlincoln) on keybase.
• I have a public key whose fingerprint is 5271 D84C 193A 4B9B 945C D4AA D3AB 2911 2CAD 6E14

To claim this, I am signing this object:

mdlincoln

library(igraph)
library(dplyr)

# Assume you have a dataframe "objects" with columns "object_id", "artist_id", "date"
# Create an identical table that just gives a new variable name to "artist_id"
flipped_objects <- objects %>% rename(artist_id = artist2_id)

# Join the tables together (essentially joining objects to itself, creating every combination
# of artist that share an object_id and date
edges <- objects %>%

mdlincoln

iconv -t UTF8 -f MACROMAN < file.csv > file-utf8.csv

mdlincoln

mdlincoln

doc_data <- function(d) {
  # Get column names and types
  vartype <- vapply(d, typeof, FUN.VALUE = character(1))
  
  # Write individual item description templates
  items <- paste0("#\'   \\item{\\code{", names(vartype), "}}{", vartype, ". ###}", collapse = "\n")
  
  # Return the full documentation template
  paste0("#\' DATASET TITLE
#\' 

mdlincoln

(\d{1,2})([A-Z]{1,2})?(\d{1,5})?(\(\w*\))?(\d{1,2})?(\(\+\d\))?

mdlincoln

library(ggplot2)
library(dplyr)
library(animation)

load(url("http://matthewlincoln.net/assets/docs/sim_data.rda"))

saveGIF({
  # We want one frame per replication
  for(i in 1:max(bm_raw_sims$r)) {