Recent changes to Notes

Notes modified by Joel Hellewell

Joel Hellewell — Tue, 10 Feb 2015 14:54:25 -0000

Discussion Notes modified by Joel Hellewell

Joel Hellewell — Tue, 10 Feb 2015 12:52:24 -0000

--- v3
+++ v4
@@ -4,7 +4,7 @@
 -    Overlaying contact networks 
 -    Including phylogenies, colouring nodes
 -    Static contact networks vs dynamic visualisation, first approach difficult for large data. Potential help from Rgraphviz.
--    Incorporate contact times into dynamic visualisation (time directed graphs).See Eiko Yonike.
+-    Incorporating contact times into dynamic visualisation (time directed graphs).See Eiko Yonike.
 -    Interactive bubble plots, visualising multi=way tables or binary matrices
 -    Visualise binomial GLM, GLMnet
 -    Visualising patterns of missing data

Discussion Notes modified by Joel Hellewell

Joel Hellewell — Tue, 10 Feb 2015 12:52:02 -0000

--- v2
+++ v3
@@ -1,26 +1,25 @@
 Points covered during the discussion
 ------------------------------------
--Animating outbreaks, D3, leaflet 
--Overlaying contact networks 
--Including phylogenies, colouring nodes
--Static contact networks vs dynamic visualisation, first approach difficult for large data
--Rgraphviz
--Incorporate contact times into dynamic visualisation (time directed graphs).See Eiko Yonike.
--Interactive bubble plots, visualising multi=way tables or binary matrices
--Visualise binomial GLM, GLMnet
--Visualising patterns of missing data
--Visualising heterogeneity, duration of infectiousness
--Plot heaping when reporting contacts
--Incidence time series
--Timeline of samples
--Imaging aligned sequences in DNAbin format, improve upon current options
--Plotting occurrences of same sequences in an outbreak over time
--Develop a common framework for certain graphics to convert from static to dynamic. D3 or D4 within R.
--Interaction between plot and line list, moving from plot to relevant cases on the line list easily
--Considering usefulness of static, dynamic and interactive plots for the user or developer. Gapminder/google charts
--Standardising data structures, developing static and dynamic plots separately. Turning interactive plots into static plots using webshot, converting svg into static images (chrome addon).
--Defining a standard data format, use json format and specify fields. Quick to move between R and json. 
--Plot.ly , reproduce plots from other software, converts data into json for further visualisations. A potential model.
--Need to be able to produce plots without uploading data to the internet. D3 does not do this.
--D3 javascript libraries: leaflet, mapbox, sigmajs (contact networks), htmlwidgets (plug js libraries into R),crossfilter,networkD3
--Finding relevant js libraries to reproduce plots from R.
+-    Animating outbreaks, D3, leaflet 
+-    Overlaying contact networks 
+-    Including phylogenies, colouring nodes
+-    Static contact networks vs dynamic visualisation, first approach difficult for large data. Potential help from Rgraphviz.
+-    Incorporate contact times into dynamic visualisation (time directed graphs).See Eiko Yonike.
+-    Interactive bubble plots, visualising multi=way tables or binary matrices
+-    Visualise binomial GLM, GLMnet
+-    Visualising patterns of missing data
+-    Visualising heterogeneity, duration of infectiousness
+-    Plot heaping when reporting contacts
+-    Incidence time series
+-    Timeline of samples
+-    Imaging aligned sequences in DNAbin format, improve upon current options
+-    Plotting occurrences of same sequences in an outbreak over time
+-    Develop a common framework for certain graphics to convert from static to dynamic. D3 or D4 within R.
+-    Interaction between plot and line list, moving from plot to relevant cases on the line list easily
+-    Considering usefulness of static, dynamic and interactive plots for the user or developer. Gapminder/google charts
+-    Standardising data structures, developing static and dynamic plots separately. Turning interactive plots into static plots using webshot, converting svg into static images (chrome addon).
+-    Defining a standard data format, use json format and specify fields. Quick to move between R and json. 
+-    Plot.ly , reproduce plots from other software, converts data into json for further visualisations. A potential model.
+-    Need to be able to produce plots without uploading data to the internet. D3 does not do this.
+-    D3 javascript libraries: leaflet, mapbox, sigmajs (contact networks), htmlwidgets (plug js libraries into R),crossfilter,networkD3
+-    Finding relevant js libraries to reproduce plots from R.

Discussion Notes modified by Joel Hellewell

Joel Hellewell — Tue, 10 Feb 2015 12:50:31 -0000

--- v1
+++ v2
@@ -1,4 +1,5 @@
-
+Points covered during the discussion
+------------------------------------
 -Animating outbreaks, D3, leaflet 
 -Overlaying contact networks 
 -Including phylogenies, colouring nodes

Discussion Notes modified by Joel Hellewell

Joel Hellewell — Tue, 10 Feb 2015 12:50:03 -0000

-Animating outbreaks, D3, leaflet
-Overlaying contact networks
-Including phylogenies, colouring nodes
-Static contact networks vs dynamic visualisation, first approach difficult for large data
-Rgraphviz
-Incorporate contact times into dynamic visualisation (time directed graphs).See Eiko Yonike.
-Interactive bubble plots, visualising multi=way tables or binary matrices
-Visualise binomial GLM, GLMnet
-Visualising patterns of missing data
-Visualising heterogeneity, duration of infectiousness
-Plot heaping when reporting contacts
-Incidence time series
-Timeline of samples
-Imaging aligned sequences in DNAbin format, improve upon current options
-Plotting occurrences of same sequences in an outbreak over time
-Develop a common framework for certain graphics to convert from static to dynamic. D3 or D4 within R.
-Interaction between plot and line list, moving from plot to relevant cases on the line list easily
-Considering usefulness of static, dynamic and interactive plots for the user or developer. Gapminder/google charts
-Standardising data structures, developing static and dynamic plots separately. Turning interactive plots into static plots using webshot, converting svg into static images (chrome addon).
-Defining a standard data format, use json format and specify fields. Quick to move between R and json.
-Plot.ly , reproduce plots from other software, converts data into json for further visualisations. A potential model.
-Need to be able to produce plots without uploading data to the internet. D3 does not do this.
-D3 javascript libraries: leaflet, mapbox, sigmajs (contact networks), htmlwidgets (plug js libraries into R),crossfilter,networkD3
-Finding relevant js libraries to reproduce plots from R.