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Final presentation from the A2 Data Dive. Feb. 10- 12, 2012. visit the wiki for more information: http://wiki.datawithoutborders.cc/index.php?title=Project:Current_events:A2_DD
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+
A2 DataDive 2012Project: African Health OER Network
(AHON)all content in this presentation is licensed under a Creative Commons Attribution CC:BY license.
group: content-focus
+original sources:
RESEARCH QUESTIONS:
How often are the resources being accessed? From where? When?
Can we see geographically how the resources are being disbursed?
How actively engaged are our content creators?
Etc.
DATA
Google Analytics data
Youtube analytics/stats – geographic, text fields, engagement
CiviCRM data on material creators, events
Detailed word doc describing data
+ two groups:
INDIVIDUALS
(Gin Corden, Lettie Malan, Rodger Devine, Mandar Gokhale, Kathleen Omollo [client])
TOOLS USED:
- R
- Convert from CVS to Pajek
- Pajek
- GUESS
- GEFI
- Google Fusion
CONTENT(Jude Yew, Brian Vickers, Derrick Lin, Whitney K, Lidia, Tawfig, Jackie Cohen, Kathleen Omollo [client])
TOOLS USED:
- R
- SAS
- SPSS
- Excel
- Python
&
+several projects overall
word frequency
word frequency by video, content by video
top 10 Youtube Videos – engagement by country
site traffic trends
viewers’ gender and age trends
+tools used R, and various R libraries
GraphViz
.csv files and text input
SAS
SPSS
Excel
Python
Wordle
…and various knowledge/ideas/energy
+specific output
Visualizations of word frequency in Youtube comments
Plots and boxplots of engagement types by country and continent
Charts of site traffic trends
KPI (Key Performance Indicator) charts
Beginnings of R and Python scripts to produce data that may be used for new visualizations and statistical analyses
visualization of greatest word frequency in AHON Youtube video comments – from wordle.com
video comment word frequency – stacked histogram (R, ggplot)
engagement in top 10 youtube videos
Video 1Episiotomy Repair: Infiltration anaesthesia at the time of crowning
Video 2 Real-Time Polymerase Chain ReactionVideo 3 Enzyme-Linked Immunosorbent AssayVideo 4 Intro to Polymerase Chain Reaction
Video 5Examination of the Pregnant Woman: Examination of the chest
Video 6Examination of the Pregnant Woman: Examination of the pregnant abdomen
Video 7 Enzyme immunoassay to detect antigens
Video 8Examination of the Pregnant Woman: Reporting the Obstetric Abdominal Examination
Video 9 Caesarean Section: Closure of the abdomenVideo 10 Episiotomy Repair: Episiotomy and delivery of the baby
Video Legend
+some take-away points
There may be different values attached to different forms of engagement in different areas of the world – meaning different takeaways from content analysis
AHON can look at trends of language in comments (for example) by video Access to answers to questions like: what videos are people most outwardly grateful for? In what videos is the content being most discussed, and which content?
With access to scripts like these, AHON in turn has access to data which can more easily be displayed and analyzed
+questions for further research What does the variety of engagement with video
content by geography suggest?
Can site traffic and time depth information be measured more accurately or should it be measured differently?
Is there surprising data regarding gender, age, demographic information with respect to engagement with content?
How can AHON best use increased knowledge about network connections in combination with content engagement and views?