What does data journalism offer digital humanities?
What are the advantages digital humanists hold?
Alternative ways to represent archival data.
Alternative ways to represent archival data.
Alternative ways to represent archival data.
Alternative ways to represent archival data.
Platform
0.0000001
% of the ICOADS data set.
1848 6 1 3723 29038 02 4 10ISABE*_N 1 5
165 20779701 69 5 0 1 FFFFFF77AAAAAAAAAAAA 99 0 790044118480601
3714N 6937W NW 51 NW 57 NW
51 201A.STEWART NEW BEDFORD WHALING V
OYAGE 2620 199
Digitized logbooks, c. 1930
Wallbrink and Koek
Logbook Digitization in the 1920s
Wallbrink, H. and F.B. Koek, Data Acquisition And Keypunching Codes For Marine Meteorological Observations At The Royal Netherlands Meteorological Institute, 1854–1968
An elaborate API call to the Maury browser.
[
{
"DCK":[701],
"start":365.25*1840,
"end":365.25*1940,
"non_standard_fields":["origin","destination"],
"color":function(d) {
if (d.origin.match("BOSTON|NEW BEDFORD|SALEM") !== null) {return true}
if (d.destination.match("BOSTON|NEW BEDFORD|SALEM") !== null) { return true}
return false;
},
"continuation":true,
horizon:25,
"projection":"oceanicHomolosine"
},
[...]
An elaborate API call to the census browser.
{"formula": "totpop_1870/(settledArea_1870) < 2 ?
2/(totpop_1870/(settledArea_1870)) :
null",
"path_format":"county",
"scale_type":"brewer_quantile",
"show_counties":["uts_sevier","uts_piute","uts_iron","uts_kane"]}
DSL for large text databases
Grammar for creating a corpus
"search_limits": {
"publish_country":["United States"],
"year": {
"$lte": 1920,
"$gte": 1890
},
And creating a plot
{
"database": "hathipd",
"plotType": "barchart",
"method": "return_json",
"search_limits": {
"contributing_library__id": {
"$lte": 15
},
"new_date": {
"$lte": 1922
},
"word": ["02138"]
},
"aesthetic": {
"x": "WordsPerMillion",
"y": "contributing_library"
},
}
{
"database": "hathipd",
"projection": "albers2",
"plotType": "map",
"method": "return_json",
"search_limits": {
"new_date": {
"$gte": 1700,
"$lte": 2010
},
"word": ["test"]
},
"aesthetic": {
"point": "publication_place_geo",
"size": "TextCount",
"time": "new_date"
},
"counttype": ["TextCount"],
"groups": ["publication_place_geo", "new_date"]
}
{
"database": "hathipd",
"plotType": "heatmap",
"method": "return_json",
"search_limits": {
"new_date": {
"$gte": 1800,
"$lte": 2000
},
"contributing_library__id": {
"$lte": 20
}
},
"aesthetic": {
"y": "contributing_library",
"x": "new_date",
"color": "TextCount"
},
"counttype": ["TextCount"],
"groups": ["contributing_library", "new_date"],
"scaleType": "log"
}
Acknowledgements
Institutions
People
Acknowledgements
Funders
Partners
{
"database": "ChronAm",
"plotType": "heatmap",
"method": "return_json",
"search_limits": {
"publish_year": {
"$gte": 1860
},
"word": ["bicycle"]
},
"aesthetic": {
"x": "publish_year",
"y": "publish_day_year",
"color": "WordsPerMillion"
}
}
{
"search_limits": {
"word": ["iPhone"],"date_year":{"$gte":2002,"$lte":2015}
},
"database":"RMP",
"aesthetic":{"x":"date_year","y":"WordsPerMillion"},
"plotType":"linechart"
}
{
"database": "RMP",
"plotType": "barchart",
"search_limits": {
"word": ["exams"]},
"aesthetic": {
"x": "WordsPerMillion",
"y": "gender"}
}
Top search terms in movies.benschmidt.org
[1] love fuck shit gay
[5] internet god terrorist zombie
[9] alien murder war environment
[13] kill hate happy human+trafficking
[17] Montreal yes hello Fuck
[21] jedi montreal no computer
[25] incest America cunt vampire
[29] fear bitch space reset
[33] chaperone happiness robot dog
[37] science beer yoda drugs
[41] escort police russian awesome
[45] batman companion meal+ticket muslim
[49] nigger cool plus+one pollution
[53] rape United States terrorism the
[57] man chaperon coffee joy
[61] new+york Climate+Change coke crime
[65] peace vagina anger bitcoin
[69] woman nazi suffering lesbian
[73] bipolar Love rage sam
[77] bunnies curiosity krueger paris
[81] sweatshop gun me security
[85] communist compassion freedom girl
[89] groovy jew weed nsa
[93] phone sex+trafficking Shit suit
[97] superman The want whiskey
66567 Levels: ` `` ^ = =) >.< | ¯\\_(ツ)_/¯ - , , ; ;-) ;) : ... 萌
Top search terms on benschmidt.org/profGender
he, handsome, jerk, dick, arrogant, genius, gay, hilarious, entertain- ing, funny, sexy, clever, brilliant, old, cool, ass, intelligent, smart, fat, cute, interesting, weird, engaging, idiot, boring, great, knowledgeable, best, knowledgeable,
inspiring, awesome, good, challenging, pretty, excellent, passionate, fun, lazy, difficult, hot, good teacher, hard, stupid, fair, dumb, bad, competent, easy, approachable, kind, hate, useless, tough, demanding, attractive, creative, bad teacher, enthusiastic, angry, amazing,
love, clear, confusing, ugly, condescending, crazy, happy, understanding, worst, terrible, nice, friendly, helpful, mean, biased, harsh, horrible, unfair, awful, aggressive, organized, rude, incompetent, annoying, caring, strict, disorganized, evil, bossy, beautiful, sweet, she.
# [1] "he->she" "hes->shes"
# [3] "himself->herself" "his->her"
# [5] "man->woman" "guy->lady"
# [7] "grandpa->grandma" "dude->chick"
# [9] "wife->husband" "grandfather->grandmother"
# [11] "dad->mom" "uncle->aunt"
# [13] "fatherly->motherly" "brother->sister"
# [15] "actor->actress" "grandfatherly->grandmotherly"
# [17] "father->mother" "genius->goddess"
# [19] "arrogant->snobby" "priest->nun"
# [21] "dork->ditz" "handsome->gorgeous"
# [23] "atheist->feminist" "himmmm->herrrr"
# [25] "kermit->degeneres" "mans->womans"
# [27] "hez->shez" "himmm->herrr"
# [29] "trumpet->flute" "checkride->clinicals"
# [31] "gay->lesbian" "surgeon->nurse"
# [33] "daddy->mommy" "cool->sweet"
# [35] "monsieur->mme" "jolly->cheerful"
# [37] "jazz->dance" "wears->outfits"
# [39] "girlfriends->boyfriends" "drle->gentille"
# [41] "gentleman->gem" "charisma->spunk"
# [43] "egotistical->hypocritical" "cutie->babe"
# [45] "wingers->feminists" "professore->molto"
# [47] "gruff->stern" "demonstrations->activities"
# [49] "goofy->wacky" "coolest->sweetest"
# [51] "architect->interior" "sidetracked->frazzled"
# [53] "likeable->pleasant" "grumpy->crabby"
# [55] "charismatic->energetic" "cisco->cna"
# [57] "masculinity->gender" "girlfriend->boyfriend"
Difficult visualizations