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Here is the first of my BrickCon 2001 data visualizations, created from the con's MOC card registration database, and analyzed using Tableau.
This "viz" focuses on the different properties of various MOC themes (Space, Town, Pirate, etc). The x-axis is the number of MOCs in each theme, the y-axis the number of people contributing to each theme, and the size of each circle represents the estimated table footprint of all the MOCs in each theme.
As you'd expect, the general trend (as suggested by the dotted line that Tableau computed for me automatically from the data) is that the more people contribute to a theme, the more MOCs it gets, and thus the more space it takes up.
But unexpectedly, you can see that three distinct clusters emerge from this data. The "Boutiques" cluster (in blue) represents the many smaller themes, while the "EPIC-que!" cluster (in red) represents the fewer larger themes. The points in these two clusters fall near the line and follow the expected trend.
But the data does show a couple of 'outliers'. The Bioncle and Model Team themes are way off-trend. Their size suggests they should fall in the "Boutiques" cluster, but their x-position indicates they have way more MOCs per contributor (since Briann and Lino kind of dominate their themes!). Hence, I nickname this cluster the "Cliques"!
The other outlier is Pirates. It's blob is bigger than it's neighbors, indicating that this theme features some above-average sizes MOCs (...hello Scott!).
nodexlgraphgallery.org/Pages/Graph.aspx?graphID=5075
The graph represents a network of 947 Twitter users whose recent tweets contained "#dataviz", taken from a data set limited to a maximum of 1,500 users. The network was obtained on Sunday, 02 June 2013 at 15:16 UTC. There is an edge for each follows relationship. There is an edge for each "replies-to" relationship in a tweet. There is an edge for each "mentions" relationship in a tweet. There is a self-loop edge for each tweet that is not a "replies-to" or "mentions". The tweets were made over the 7-day, 2-hour, 0-minute period from Sunday, 26 May 2013 at 13:00 UTC to Sunday, 02 June 2013 at 15:01 UTC.
The graph is directed.
The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
The edge colors are based on relationship values. The edge widths are based on edge weight values. The edge opacities are based on edge weight values. The vertex sizes are based on followers values. The vertex opacities are based on followers values.
Overall Graph Metrics:
Vertices: 947
Unique Edges: 8258
Edges With Duplicates: 1254
Total Edges: 9512
Self-Loops: 1005
Reciprocated Vertex Pair Ratio: 0.338230439088808
Reciprocated Edge Ratio: 0.505489083508079
Connected Components: 50
Single-Vertex Connected Components: 46
Maximum Vertices in a Connected Component: 894
Maximum Edges in a Connected Component: 9438
Maximum Geodesic Distance (Diameter): 7
Average Geodesic Distance: 3.033881
Graph Density: 0.00904938483828983
Modularity: 0.359929
NodeXL Version: 1.0.1.234
Top 10 Vertices, Ranked by Betweenness Centrality:
albertocairo
EdwardTufte
ddjournalism
visualisingdata
VisualizingOrg
tableau
NicolasLoubet
KarenBastienOK
SocialMedia411
noahi
Top URLs in Tweet in Entire Graph:
www.flickr.com/photos/twitteroffice/sets/72157633647745984/
datadrivenjournalism.net/featured_projects/Behind_the_Aus...
blog.revolutionanalytics.com/2013/05/the-arteries-of-the-...
guides.library.duke.edu/content_mobile.php?pid=355157&...
tweetedtimes.com/#!/search/dataviz,%20datavisualization/en
tweetedtimes.com/#!/search/data%20visualisation/en
www.bbc.co.uk/news/in-pictures-22657086
www.ipsos-mori.com/researchpublications/publications/1562...
www.facebook.com/AllAnalytics/app_196506863720166
Top URLs in Tweet in G1:
datadrivenjournalism.net/featured_projects/Behind_the_Aus...
gs10.globalsuccessor.com/fe/tpl_GuardianNews01.asp?newms=...;
postgraphics.tumblr.com/post/51818823313/behind-the-scene...
visualizing.org/contests/visualizing-meteorites
www.businessinsider.com/best-maps-from-maps-on-the-web-tu...
datadrivenjournalism.net/resources/a_super_simple_tool_to...
thepoliticsofsystems.net/2013/05/playing-with-the-new-yor...
www.densitydesign.org/2013/05/alberto-cairo-designers-rea...
Top URLs in Tweet in G2:
blog.revolutionanalytics.com/2013/05/the-arteries-of-the-...
tweetedtimes.com/#!/search/dataviz,%20datavisualization/en
tweetedtimes.com/#!/search/data%20visualisation/en
www.facebook.com/AllAnalytics/app_196506863720166
www.sas.com/apps/sim/redirect.jsp?detail=TR17756
www.bbc.co.uk/news/in-pictures-22657086
beeha.us/blog/facebook-graph-visualization-bmw-usa/
blog.revolutionanalytics.com/2013/05/nyt-uses-r-to-invest...
www.inc.com/john-brandon/8-new-tech-companies-to-watch.html
gigaom.com/2013/05/14/were-witnessing-the-rise-of-the-gra...
Top URLs in Tweet in G3:
www.flickr.com/photos/twitteroffice/sets/72157633647745984/
guides.library.duke.edu/content_mobile.php?pid=355157&...
www.buzzfeed.com/donnad/if-game-of-thrones-was-a-subway-map
www.lemonde.fr/proche-orient/article/2013/05/30/ce-que-re...
review.wizehive.com/voting/view/dja2013/14510/1244458/0
www.niemanlab.org/2013/05/how-does-quartz-create-visualiz...
plus.google.com/103461709570992943324/posts/6L5BijDvDU2
infoamazonia.org/2012/10/terra-peru-aims-for-zero-defores...
api.dmcloud.net/player/pubpage/4e7343f894a6f677b10006b4/5...
Top URLs in Tweet in G4:
www.lifeafterearthscience.com/
deliver.jsi.com/dhome/rdr?p_url=/dlvr_content/resources/a...
worldbank.tumblr.com/day/2013/04/24/
philadelphia.craigslist.org/sof/3838831950.html
forumone.com/events/detail/when-data-everywhere-where-do-...
www.channel4.com/news/syria-files-interactive-rebels-weap...
datadrivenjournalism.net/news_and_analysis/Al_Jazeera_EJC...
inmaps.linkedinlabs.com/share/Bruce_Haupt/759718896405284...
Top URLs in Tweet in G5:
qz.com/89019/29-of-the-worlds-largest-bike-sharing-progra...
www.nytimes.com/interactive/2013/05/25/sunday-review/corp...
www.nytimes.com/glogin?URI=http://www.nytimes.com/interac...(Q51yQ24dc_y(Q23Q24Q25Q2BmX4Q25mrQ25Q2BrQ25@sQ51Q60cQ22NdQ24Q23(Q24Q26Q25_7dR7dcyQ24Nyc6Q24@UxyjF
www.nytimes.com/glogin?URI=http://www.nytimes.com/interac...(r.-RRR-g.5Q2B-aTzpQ2FTT.1-l(.HQ2FQ7Ez.lQ60H-1IQ25Y-IW-1A-poTQ2F.p-.H((lp-(Q7EaQ7EQ2BpQ27V(HHwg.5Q2B
worldbank.tumblr.com/day/2013/05/14/
www.datapointed.net/visualizations/population/world/seven...
theberad.files.wordpress.com/2010/12/avisualhistorycopy.jpg
Top URLs in Tweet in G6:
www.ipsos-mori.com/researchpublications/publications/1562...
qz.com/89019/29-of-the-worlds-largest-bike-sharing-progra...
www.eventbrite.com/event/6620954453/#
www.nytimes.com/glogin?URI=http://www.nytimes.com/interac...)qUAYUQ7EEUQ3E_LQ3A1_Q3AUapQ601O9apLHL1n9Q7EA))NQ5EQ7CQ23o
fontsinuse.com/uses/3997/2013-tesla-model-s-dashboard-dis...
www.dailymail.co.uk/sciencetech/article-2329443/The-incre...
www.informationisbeautifulawards.com/2013/05/fish-free/
plus.google.com/117821825929676420234/posts/RRCiEZFzFcd
svs.gsfc.nasa.gov/vis/a000000/a003800/a003827/Perpetual_O...
Top URLs in Tweet in G7:
hacknight.in/fifthelephant/2013-visualization#/participants
www.youtube.com/watch?v=AdSZJzb-aX8&feature=youtu.be
blogs.technet.com/b/inside_microsoft_research/archive/201...
postgraphics.tumblr.com/post/51818823313/behind-the-scene...
www.computerworld.in/feature/rise-dataviz-expert-105762013
visualizing.org/contests/visualizing-meteorites
www.thefunctionalart.com/2013/05/visualizations-mythmakin...
www.nytimes.com/2013/05/20/arts/design/pleasurable-design...
Top URLs in Tweet in G8:
www.allanalytics.com/author.asp?section_id=1411&doc_i...
www.icharts.net/blogs/2013/spotlight-interview-communicat...
investors.tableausoftware.com/overview/default.aspx
Top URLs in Tweet in G9:
www.theverge.com/2013/6/1/4386496/twitter-turns-geotagged...
complexdiagrams.com/properties
visualizing.org/visualizations/doctor-who-episodes-1963-2013
www.allanalytics.com/author.asp?section_id=1411&doc_i...;
www.hackforchangemiami.org/schedule.html
www14.software.ibm.com/webapp/iwm/web/signup.do?source=sw...
Top URLs in Tweet in G10:
source.mozillaopennews.org/en-US/learning/design-principl...
visualoop.com/8629/the-world-map-according-to-twitter
www.nytimes.com/interactive/2013/05/25/sunday-review/corp...
blog.revolutionanalytics.com/2013/05/the-arteries-of-the-...
www-304.ibm.com/connections/blogs/predictiveanalytics/ent...
www.nytimes.com/glogin?URI=http://www.nytimes.com/2013/05...
trackimpact.com/post/51037726182/step-1-to-building-a-sto...
Top Domains in Tweet in Entire Graph:
sas.com
datadrivenjournalism.net
nytimes.com
tumblr.com
co.uk
flickr.com
revolutionanalytics.com
tweetedtimes.com
visualizing.org
vimeo.com
Top Domains in Tweet in G1:
datadrivenjournalism.net
nytimes.com
tumblr.com
visualizing.org
co.uk
dimplejs.org
globalsuccessor.com
sharedby.co
gob.ar
thefunctionalart.com
Top Domains in Tweet in G2:
sas.com
tweetedtimes.com
revolutionanalytics.com
co.uk
linkedin.com
dashboardinsight.com
allanalytics.com
facebook.com
dundas.com
youtube.com
Top Domains in Tweet in G3:
flickr.com
duke.edu
buzzfeed.com
lemonde.fr
google.com
wizehive.com
niemanlab.org
vimeo.com
coronaperspectives.com
aecom.org
Top Domains in Tweet in G4:
tumblr.com
lifeafterearthscience.com
jsi.com
craigslist.org
datadrivenjournalism.net
iea.org
co.uk
aecom.org
forumone.com
channel4.com
Top Domains in Tweet in G5:
visual.ly
nytimes.com
tumblr.com
bolid.es
negawatt.org
qz.com
vimeo.com
flickr.com
datapointed.net
wordpress.com
Top Domains in Tweet in G6:
hereistoday.com
ipsos-mori.com
co.uk
qz.com
eventbrite.com
nytimes.com
fontsinuse.com
informationisbeautifulawards.com
google.com
nasa.gov
Top Domains in Tweet in G7:
hacknight.in
youtube.com
technet.com
tumblr.com
computerworld.in
visualizing.org
thefunctionalart.com
nytimes.com
vimeo.com
Top Domains in Tweet in G8:
allanalytics.com
icharts.net
vimeo.com
tableausoftware.com
treesheets.org
cwrld.us
Top Domains in Tweet in G9:
theverge.com
complexdiagrams.com
hint.fm
wordpress.com
visualizing.org
allanalytics.com
hackforchangemiami.org
ibm.com
Top Domains in Tweet in G10:
mozillaopennews.org
nytimes.com
visualoop.com
revolutionanalytics.com
ibm.com
trackimpact.com
Top Hashtags in Tweet in Entire Graph:
dataviz
ddj
bigdata
infographics
data
visualization
infographic
sas
opendata
analytics
Top Hashtags in Tweet in G1:
dataviz
ddj
infographics
bigdata
govhack
opendata
data
maps
d3js
visualization
Top Hashtags in Tweet in G2:
dataviz
bigdata
sas
visualization
analytics
data
infographic
rstats
datascience
Top Hashtags in Tweet in G3:
dataviz
ddj
socialmedia
bigdata
opendata
football
gameofthrones
outils
tools
design
Top Hashtags in Tweet in G4:
dataviz
infographic
willsmith
anthropocene
opendata
wd2013
ghmatters
ddj
ict4d
opengov
Top Hashtags in Tweet in G5:
dataviz
graphicdesign
infographic
bigdata
opendata
tngov
tunisie
dnte
joydivision
petersaville
Top Hashtags in Tweet in G6:
dataviz
mrx
wtmonitor
localgov
casro
bikesharing
nptech
boston
data
opendata
Top Hashtags in Tweet in G7:
dataviz
visualization
bangalore
d3js
r
art
infographics
rhok
ddj
ux
Top Hashtags in Tweet in G8:
dataviz
auxc13
infographic
ux
pastina
napoleone
campagnadirussia
javascript
lib
day
Top Hashtags in Tweet in G9:
dataviz
bigdata
socialmedia
hackforchange
data
stats
infographics
ddj
Top Hashtags in Tweet in G10:
dataviz
hackforchange
maps
detroit
taxes
rstats
immigration
dataanimation
ibm
Top Words in Tweet in Entire Graph:
dataviz
rt
data
via
de
visualization
ddj
bigdata
amp
infographics
Top Words in Tweet in G1:
dataviz
rt
ddj
data
infographics
via
albertocairo
bigdata
gt
new
Top Words in Tweet in G2:
dataviz
rt
data
visualization
analytics
sas
via
bigdata
amp
infographic
Top Words in Tweet in G3:
dataviz
rt
de
le
des
la
en
et
par
du
Top Words in Tweet in G4:
dataviz
rt
amp
infographic
amazing
philly
website
new
willsmith
film
Top Words in Tweet in G5:
dataviz
rt
via
data
visually
visualization
infographic
map
one
visualized
Top Words in Tweet in G6:
dataviz
rt
mrx
see
interactive
amp
wtmonitor
life
universe
everything
Top Words in Tweet in G7:
dataviz
rt
data
visualization
art
amp
30
nerds
register
hasgeek's
Top Words in Tweet in G8:
dataviz
auxc13
toccaceliblasi
rt
e
data
talk
svela
segreti
della
Top Words in Tweet in G9:
dataviz
noahi
bigdata
rt
data
great
ex
number
via
anitaycheng
Top Words in Tweet in G10:
dataviz
rt
hackforchange
migrahack
interactive
jmm
hey
spec
ers
design
Top Word Pairs in Tweet in Entire Graph:
data,visualization
dataviz,infographics
rt,albertocairo
great,dataviz
dataviz,via
bigdata,dataviz
ddj,dataviz
geotagged,tweets
ddj,bigdata
dataviz,bigdata
Top Word Pairs in Tweet in G1:
dataviz,infographics
rt,albertocairo
ddj,dataviz
bigdata,dataviz
nytgraphics,dataviz
data,visualization
simple,deep
deep,clear
clear,beautiful
beautiful,nytgraphics
Top Word Pairs in Tweet in G2:
data,visualization
visual,analytics
dataviz,sas
geotagged,tweets
rt,revodavid
sas,visual
dataviz,bigdata
big,data
dataviz,news
great,dataviz
Top Word Pairs in Tweet in G3:
data,visualization
la,dataviz
par,département
département,dataviz
de,tweets
du,monde
dataviz,socialmedia
poussif,démarrage
démarrage,des
des,emplois
Top Word Pairs in Tweet in G4:
amazing,website
website,new
new,willsmith
willsmith,film
film,afterearth
afterearth,features
features,anthropocene
anthropocene,dataviz
owengaffney,amazing
infographic,contraceptives
Top Word Pairs in Tweet in G5:
via,visually
visually,dataviz
data,visualization
social,media
rt,tnchiffres
tnchiffres,tngov
tngov,rt
rt,aminkh
aminkh,tunisie
tunisie,dataviz
Top Word Pairs in Tweet in G6:
life,universe
universe,everything
everything,visualised
visualised,one
one,colourful
colourful,interactive
interactive,bar
bar,dataviz
wtmonitor,dataviz
rt,dataeverywhere
Top Word Pairs in Tweet in G7:
data,visualization
dataviz,nerds
nerds,register
register,hasgeek's
hasgeek's,data
visualization,hacknight
hacknight,29
29,amp
amp,30
30,jun
Top Word Pairs in Tweet in G8:
toccaceliblasi,auxc13
toccaceliblasi,svela
svela,segreti
segreti,della
della,dataviz
dataviz,bel
bel,talk
talk,umanizzare
umanizzare,dati
dati,dando
Top Word Pairs in Tweet in G9:
noahi,bigdata
great,dataviz
dataviz,ex
ex,number
rt,anitaycheng
dataviz,noahi
bigdata,noahi
dataviz,bigdata
bigdata,dataviz
noahi,dataviz
Top Word Pairs in Tweet in G10:
interactive,dataviz
rt,jmm
jmm,hey
hey,hackforchange
hackforchange,spec
spec,migrahack
migrahack,ers
ers,design
design,principles
principles,applied
Top Replied-To in Entire Graph:
toccaceliblasi
beehaus
albertocairo
twombh
jenstirrup
kristw
migrahack
macala
parstream
Top Replied-To in G1:
albertocairo
pciuccarelli
makerfairerome
ispeakanalytics
flowingdata
junkcharts
eojnairb
governordeal
edwrdlee
evalu8r
Top Replied-To in G2:
beehaus
kristw
jenstirrup
mhausenblas
macala
tableau
policyviz
parstream
nytimes
Top Replied-To in G3:
anthonymasure
jbmacluckie
jeanabbiateci
ireneros
schesnel
userstudio
ioudg
ulfisch
karinevigu
johanhufnagel
Top Replied-To in G4:
g33kmate
jessicacolaco
Top Replied-To in G5:
twombh
alphatative
c4_spacewizard
Top Replied-To in G6:
wteducation
scheufele
Top Replied-To in G7:
seesharp
Top Replied-To in G8:
toccaceliblasi
Top Replied-To in G10:
migrahack
Top Mentioned in Entire Graph:
albertocairo
noahi
nytgraphics
revodavid
ddjournalism
visualizingorg
miguelrios
toccaceliblasi
allanalytics
densitydesign
Top Mentioned in G1:
albertocairo
nytgraphics
ddjournalism
visualizingorg
densitydesign
flinklabs
pciuccarelli
gabrieldance
fcage
dashingd3js
Top Mentioned in G2:
revodavid
allanalytics
miguelrios
tableau
bi_dashboards
kirkdborne
sasuk_vanalytic
dundasdata
bmwusa
nytgraphics
Top Mentioned in G3:
pomme_
http
askmedia_
samuellaurent
llllitl
matamix
alirebaie
julesbonnard
cyceron
mvaudano
Top Mentioned in G4:
afterearth
deliverproject
worldbank
ejcnet
iea
tumblr
owengaffney
amanda_levinson
vgalaz
syrianews
Top Mentioned in G5:
visually
worldbank
tnchiffres
aminkh
littleark
thierrysalomon
nwassociation
tck_design
ripetungi
rivefuentes
Top Mentioned in G6:
dataeverywhere
imdatafizz
ipsosmori
qz
yan0
deborah909
mapcmetroboston
bostonfdn
ocsi_uk
albertocairo
Top Mentioned in G7:
hasgeek
rasagy
merhl
albertocairo
rhok_bang
postgraphics
visualizingorg
kenneth
hursman
mattsugihara
Top Mentioned in G8:
toccaceliblasi
lallodola
debora_botta
allanalytics
nbrgraphs
densitydesign
mikymartin
tableau
rich1
georgevhulme
Top Mentioned in G9:
noahi
anitaycheng
verge
moebio
dschweidel
albertocairo
kalanicraig
nytgraphics
visualizingorg
ib5k
Top Mentioned in G10:
jmm
migrahack
miguelrios
kat_a_hartman
visualoop
alliedmediaconf
rivefuentes
rijking
revodavid
manyeyes
Top Tweeters in Entire Graph:
GovernmentDroid
memberposts
breizh2008
lactualaloupe
digitalmaverick
datachick
georgevhulme
Daoudmsund
ageekmom
theArcher77
Top Tweeters in G1:
JojoMalig
DeLuCa
Skoknic
perugini
abad
TSSVeloso
AnonyNewsNet
NoticiasPRO
Darlington_Dick
tomasdev
Top Tweeters in G2:
datachick
data_nerd
DCarsonCPA_NYC
PageViral
SocialMediaroid
nopiedra
estherschindler
juliebhunt
Computerworld
furukama
Top Tweeters in G3:
breizh2008
lactualaloupe
jujusete
PierreBRT
CharlesCHT
samuellaurent
Romain_Pigenel
MlleFunambuline
Fr_ugo
SoLoMoSL
Top Tweeters in G4:
GovernmentDroid
theArcher77
kaskadia
Liberationtech
MagdaAbuFadil
fustat
kmcurry
cartogeek
g33kmate
joellehatem
Top Tweeters in G5:
memberposts
guenotmichel
Mounej
Tweetskenya
Design_RT_Robot
Gigi_deGaray
t_pk
sergei_cl
minkiu
finalcontext
Top Tweeters in G6:
digitalmaverick
ageekmom
DCarsonCPA_MA
6loss
liversedge
SimonMAtkinson
benatipsosmori
SpaceKate
Skinner_M
kelly_plusnet
Top Tweeters in G7:
jackerhack
rasagy
fnicollet
DaveHogue
IdeaKitchn
zainabbawa
merhl
Valentina9
v1pl
phoenixwizard
Top Tweeters in G8:
georgevhulme
tigella
iamneethish
rich1
citrixgurl
acanal
tomstardust
lallodola
carl0s_
yoghi
Top Tweeters in G9:
themba
needalibraryjob
drkassorla
darlingbec
dcbphd
prerakp09
anitaycheng
virginiahyer
lisabsteward
nafpaktitism
Top Tweeters in G10:
kmontenegro
shawncarrie
richdullaghan
yvonnegraphy
thschilling
ohnehin
ijjnews
adriana9diaz
nunezcla
buildCibola
Since my photostream just passed the 1-year mark and 100,000 view mark at about the same time, I thought I'd download all the stats from Flickr and analyze them a bit using Tableau. You know, for fun.
The top left corner shows the top seven sites that drove traffic to my photostream. You can see sites like Brothers Brick generating spikes as MOCs got blogged there, whereas traffic from search engines is somewhat more steady. Although the vast majority of 'referral' hits is directly from people browsing Flickr.
The top right corner shows views by day of week. No sign of any particularly strong pattern there - all seven days are in the same ball park. Although a bit suprising that Saturday and Sunday were the weakest days. I guess people tend to browse Flickr at work!
The bottom left corner shows views resulting from search engine hits, comparing the top 10 search terms vs the search engines they came from. Looks like most search engine hits were for my Demotivators, not my Lego! Interesting that Google Images wins out by far in this category.
The bottom right corner is just the overall traffic for the year, with spikes labelled based on the MOCs that caused them.
RDTN.org (Radiation dot org):
I love things like this. Radiation (abbreviated as RDTN) is a great
crowdsourcing mashup. Now there is a concept that will make your head
hurt unless you are into this new social media geek stuff. It takes a
few tools and a bunch of data and turns them into something incredibly
useful and relevant.
While you take a look at all this, stop and think about it beyond the
immediate context. This is a reactive project, meaning in came into
being to fill a specific need that already existed. There are useful
debates about whether this (radiation levels) is the most important
problem to be addressing right now, but whether it is or not, the
approach here is valuable.
Remember back in the 50s and 60s when common folk had nuclear shelters
dug in their back yard? Everyone was aware of potential crises that
could come, and as a community prepared for it at both micro and macro
levels. People laugh now about some of the forms those preparations
took, but I am interested in the fact that they did! People took
personal responsibility for preparation and survival. What if there
was more of that happening now?
Now remember when the Ohio
Blackout happened a few years ago. In my neighborhood, for
several days, I'd go out to walk the dog before bed, and it would be
pitch black as far as the eye could see. Except for my house. And my
house had lights on both floors. Generators, most people think, but
nope, I had kerosene lanterns, matches, boardgames, and my family kept
our usual schedule, going to bed at the usual time.
One of the guys who worked for me at the time was from Peru. He told
me his friends and relatives there were laughing themselves silly at
these Americans who actually ASSUMED that all these basic things would
always be dependably provided by the local government, and had not
made any preparations for taking care of themselves in case something
happened. In Peru, the assumption was that you made personal
preparations for in case. The idea of a populace being incapacitated
by a technical error that cut power or water was literally laughable.
So what has America learned from this? How many people believe that
the Ohio Blackout will never happen again? I actually spoke to someone
on the bus last week who didn't believe it had ever happened! She
lived near a hospital and her area had multiple backup generators, so
she only lost power for a couple hours. Since she didn't lose power
for very long, no one did, right?
I would love to see us, all of us, as a CULTURE, not just waiting for
the next disaster to come up with cool things like RDTN and
GeigerCrowd, but to do so proactively. Figure out the most likely
disasters in each area. Plan for what information will be most needed.
Keep duplicates of pre-existing information in many formats in many
places, just in case. For information that will need to be created or
gathered and disseminated at the time, plan those information flows
and conduits in advance, prepare them, and practice them. Make sure
people know where to go for what information. By "people", I mean
EVERYONE, just like in the 50s, if you didn't have a shelter, you knew
where the nearest one was.
So, now, what is RDTN.org doing, how are they doing it, and now go
think about this as a proactive strategy.
TOOLS
Pachtube:
GeigerCrowd (at GitHub):
DATA
Marian Steinbach: Japan Radiation Open Data:
www.sendung.de/japan-radiation-open-data/
Japan, Ministry of Education, Culture, Sports, Sciences & Technology:
WHAT THEY'RE DOING
RDTN.org and GeigerCrowd have very similar visions and cross-reference
each other.
About RDTN:
"While we hope to gather data via our own website, we recognize the
efforts of others out there who are actively seeking and parsing data
and making it available for others to use.
We are aware that reliable data is critical, and have carefully chosen
partners in supplying information. Our map is populated with data from
Pachube and Marian Steinbach. . As more reliable data sources become
available, we will consider adding further sources to the site."
About GeigerCrowd:
"geigercrowd is an approach to fill in an information gap. radiation
measurements should be open data and provided by the government in an
easy to access and uncensored manner. the current situation in japan
shows a different picture. websites providing up-to-date meassurements
are either down or don't show valid values. this is where we want to
fill in. we crowdsource the meassuring to people in japan who operate
and own automated or handheld geiger counters or other equipment that
delivers data on radiation levels. this way we all together can try to
fill the currently white map on this page with up-to-date radiation
measurements that help people all over japan to assess the current
risk situation. geigercrowd.net is backed by a capable content
delivery network to hopefully handle more load than the other
available resources that currently provide this data on the web."
These aren't the only two places doing inspiring work with realtime
and crowdsourced radiation levels data from Japan right now. Here are
some of the others.
PachTube: Japan Radiation Webscrape:
www.pachube.com/feeds?q=radiation+japan+webscrape
Tableau: Japan Radiation Levels Dashboard:
public.tableausoftware.com/static/images/no-vis-available...
Google Docs: Japan Radiation, Prefecture Max Values:
spreadsheets.google.com/lv?key=tCr77vOXy-A25wVPB7BHOwg&am...
Gebweb: Japan Radiation Map:
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Hier die interaktive Infografik:
public.tableausoftware.com/views/AuflagenentwicklungvonBi...
Hier die Analyse:
www.konradlischka.info/2013/08/blog/wohlfuehl-medien-gewi...
A graphical representation of the friends to followers ratio for 500k Twitter users with less than 5k friends and followers.
Image is an export from the fantastic Tableau.
More info on my blog: dcortesi.com/2009/03/04/the-twitter-2k-effect/
Hier die interaktive Infografik:
public.tableausoftware.com/views/AuflagendeutscherZeitung...
Hier die Analyse:
www.konradlischka.info/2013/08/medien/die-zeitungskrise-i...
Hier die interaktive Version: public.tableausoftware.com/views/NeuhochgeladenePGP-Schls...
Quelle: Kristian Fiskerstrand / (sks-keyservers.net)
Details Trend Line Models
Hier die interaktive Infografik:
public.tableausoftware.com/views/AuflagendeutscherZeitung...
Hier die Analyse:
www.konradlischka.info/2013/08/medien/die-zeitungskrise-i...