Data visualization - UI-MultimediaTraining - home - Wikispaces

previousdankishΛογισμικό & κατασκευή λογ/κού

25 Νοε 2013 (πριν από 3 χρόνια και 10 μήνες)

93 εμφανίσεις


1

Lab Sessions 11.30, 12.1



Introduction


Data Driven Journalism

includes:



Data mining



Data visualization



Multimedia storytelling


We are focusing on Data Visualization
both in the lab exercise and
for Assignment #8.



PLAN A: Buzz Data Tutorial


Instructor login:



Buzzrose48



Lisa
-
weaver@uiowa.edu



Password: multimediaF2011



Data Driven Journalism


Visualizing Toronto’s Water Usage: Online Tutorial


http://datadrivenjournalism.net/resources/visualizing_torontos_wat
er_usage_a_tutorial


Go to the above link, follow instructions.
At step 1 get the data
,
log on to
www.buzzdata.com/opento
. From there, create an
account and follow the instructions




2

MAIN EXERCISE: (in Lab)


1.

Goal is to go through the online tutorial to learn how to
visualize excel charts.


2.

Then use thos
e skills to find existing data in
.xls file format

to visualize the chart (see
Websi
tes for Acquiring Existing
Data (pg. 4)




PLAN B:


Data Journalism Blog

http://www.datajournalismblog.com/

Good for
in
-
class analysis show/tell. Does not appear to provide
raw datasets for downloading.







Assignment #8

Description

Due
Dec.7
th


(section 1) Dec. 8
th

(s
ection 5)


(Choose
one

of the following types of data visualization)




I:

Charts
or Graphs

(20 data points)




II:

Map
(
10 locations
)





III:

Timeline
(
10 points
, each of which includes at least one
link, image or relevant text.)





3


Your Assignment #8 blog post should include:




A proper title (not “assignment 8
” or “timeline”
)




A properly formatted hyperlink for URLs when linking to
another site (no messy http://godknowswhat.1234x.html)




A list of where you obtained your raw information, e.g. your
images, links, and/or text content
used in your data
visualization




The name of t
he software or online resource you used.




Use any of the
resources
below
to complete your assignment.



I: Charts and Graphs




Many Eyes
http://www
-
958.ibm.com/software/data/cognos/manyeyes/page/Tour.htm
l



This allows you to
create visualizations from existing data
sets

(click on item #3 on the tour)


From there, you can “Share” your data visualization and
paste the URL into a blog post.


If you register for Many Eyes, you can upload and
manipulate data.



4




Vidi
http://www.dataviz.org/




II: Maps



Bing Maps
http://www.bing.com/maps/





Google Maps (See Google Map page in blue bar of The
Wiki)
http://ui
-
multimediatraining.wikispaces.com/Google+Maps




UMapper
http://www.Umapper.com/





III: Timelines





Dipity (See Dipity page in blue bar of
The Wiki

http://ui
-
multimediatraining.wikispaces.com/Dipity+Timeline





Timetoast
http://www.timetoast.com/





Vuvox (See Vuvox page in blue bar of
The Wiki

)
http://ui
-
multimediatraining.wikispaces.com/Vuvox+Collages




Websites for Acquiring Existing Data


(US),
http://www.data.gov/

.
xls files



5


Data.gov.uk (UK)
http://data.gov.uk/

.
xls files


Worldbank, Data
http://data.worldbank.org/

.
xls files



Census.gov
http://www.census.gov

TXT only, no .xls files



Google public data
http://www.google.com/publicdata/directory

links to PDF and TXT files, no .xls


Iowa Bureau of Health Stats
http://www.idph.stat
e.ia.us/apl/health_statistics.asp

links to PDF
files









OTHER RESOURCES


(
Source
: Data
-
driven journalism: What is there to learn?

Paper on data
-
driven journalism roundtable, Amsterdam, 2010)


Full paper is on The Wiki week 13. Page numbers here refer to
page numbers on that document.


EJC


European Journalism Centre


http://www.ejc.net


http://community.ejc.net/group/datadrivenjournalism





6


(Simon Rogers, Free our Data

pg. 31)



Afghanistan War Logs

Special report page
with info from numerous angles sourced from
WikiLeaks.


http://www.guardian.co.uk/world/the
-
war
-
logs




How to Use Data Visualization (Frank Van Ham)
pg. 37


Tools for Data Visualization

pg. 38

Wordle

http://www.wordle.net









Data and Visualization We
bsites: Resources for exercise (pg. 67
PDF)



Visualization

websites


Visual Complexity,
http://www.visualcomplexity.com/vc/



Flowing Data,
http://flowingdata.com/



Well
-
formed Data,
http://well
-
formed
-
data.net/



Information Aesthetics,
http://infosthetics.com/



7

Good Magazine,
http://www.good.is/



University of Amsterdam,
http://www.digitalmethods.net/



Simple Complexity,
http://simplecomplexity.net/



A Beautiful WWW,
http://abeautifulwww.com/



Infografistas,
http://infografistas.blogspot.com/



Visual Editors,
http://www.coolinfographics.com/



Cool Infographics,
http://www.coolinfographics.com/