jenkins-bot has submitted this change and it was merged. (
https://gerrit.wikimedia.org/r/380770 )
Change subject: Sep 26 2017 Add logo + Crosstabs
......................................................................
Sep 26 2017 Add logo + Crosstabs
Change-Id: Ib912ed9dfa5060bbe888714b648be77eb6f69734
---
M WDCM_OverviewDashboard/server.R
M WDCM_OverviewDashboard/ui.R
A WDCM_OverviewDashboard/www/Wikidata-logo-en.png
M WDCM_UsageDashboard/server.R
M WDCM_UsageDashboard/ui.R
A WDCM_UsageDashboard/www/Wikidata-logo-en.png
6 files changed, 330 insertions(+), 29 deletions(-)
Approvals:
GoranSMilovanovic: Verified; Looks good to me, approved
jenkins-bot: Verified
diff --git a/WDCM_OverviewDashboard/server.R b/WDCM_OverviewDashboard/server.R
index be744cd..fd1d5fe 100644
--- a/WDCM_OverviewDashboard/server.R
+++ b/WDCM_OverviewDashboard/server.R
@@ -1,4 +1,3 @@
-
### ---------------------------------------------------------------------------
### --- WDCM Dashboard Module, v. Beta 0.1
### --- Script: server.R, v. Beta 0.1
diff --git a/WDCM_OverviewDashboard/ui.R b/WDCM_OverviewDashboard/ui.R
index 7aa6d79..39e1f07 100644
--- a/WDCM_OverviewDashboard/ui.R
+++ b/WDCM_OverviewDashboard/ui.R
@@ -1,4 +1,3 @@
-
### ---------------------------------------------------------------------------
### --- WDCM Dashboard Module, v. Beta 0.1
### --- Script: ui.R, v. Beta 0.1
@@ -28,11 +27,25 @@
# - fluidRow Title
fluidRow(
column(width = 12,
- h2('WDCM Overview Dahsboard'),
- HTML('<font size="3"><b>Wikidata Concepts
Monitor</b></font>'),
- hr()
+ h2('WDCM Overview Dashboard'),
+ HTML('<font size="3"><b>Wikidata Concepts
Monitor</b></font>')
)
), # - fluidRow Title END
+
+ # - fluidRow Logo
+ fluidRow(
+ column(width = 12,
+ img(src='Wikidata-logo-en.png',
+ align = "left")
+ )
+ ), # - fluidRow END
+
+ # - hr()
+ fluidRow(
+ column(width = 12,
+ hr()
+ )
+ ),
fluidRow(
column(width = 12,
@@ -204,39 +217,61 @@
)
), # - tabPanel Overview END
- # - tabPanel Usage
+ # - tabPanel Description
tabPanel("Description",
fluidRow(
- column(width = 12,
+ column(width = 8,
HTML('<h2>WDCM Overview
Dashboard</h2>
<h4>Description<h4>
<hr>
<h4>Introduction<h4>
<br>
- <p><font size = 2>This
Dashboard is a part of the Wikidata Concepts Monitor (WDMC). The WDCM system
provides analytics on Wikidata usage
+ <p><font size = 2>This
Dashboard is a part of the <b>Wikidata Concepts Monitor (WDMC)</b>. The WDCM
system provides analytics on Wikidata usage
across the client projects.
The WDCM Overview Dashboard presents the big picture of Wikidata usage; other
WDCM dashboards go
- into more detail.</font></p>
+ into more detail. The
Overview Dashboard provides insights into <b>(1)</b> the similarities between
the client projects in respect to their use of
+ of Wikidata, as well as
<b>(2)</b> the volume of Wikidata usage in every client project, <b>(3)</b>
Wikidata usage tendencies, described by the volume of
+ Wikidata usage in each of
the semantic categories of items that are encompassed by the current WDCM
edition, <b>(4)</b> the similarities between the
+ Wikidata semantic
categories of items in respect to their usage across the client projects,
<b>(5)</b> ranking of client projects in respect to their
+ Wikidata usage volume,
<b>(6)</b> the Wikidata usage breakdown across the types of client projects and
Wikidata semantic categories.</font></p>
<hr>
- <h4>Wikidata Item Usage
Definition</h4>
+ <h4>Definitions</h4>
<br>
- <p><font size =
2><b>NOTE.</b> The current Wikidata item usage statistic definition is <i>the
count of the number of pages in a particular client project
- where the respective
Wikidata item is used</i>. Thus, the current definition ignores the usage
aspects completely</font></p>
+ <p><font size =
2><b>N.B.</b> The current <b>Wikidata item usage statistic</b> definition is
<i>the count of the number of pages in a particular client project
+ where the respective
Wikidata item is used</i>. Thus, the current definition ignores the usage
aspects completely. This definition is motivated by the currently
+ present constraints in
Wikidata usage tracking across the client projects. With more mature Wikidata
usage tracking systems, the definition will become a subject
+ of change. The term
<b>Wikidata usage volume</b> is reserved for total Wikidata usage (i.e. the sum
of usage statistics) in a particular
+ client project, group of
client projects, or semantic categories. By a <b>Wikidata semantic category</b>
we mean a selection of Wikidata items that is
+ that is operationally
defined by a respective SPARQL query returning a selection of items that
intuitivelly match a human, natural semantic category.
+ The structure of Wikidata
does not necessarily match any intuitive human semantics. In WDCM, an effort is
made to select the semantic categories so to match
+ the intuitive, everyday
semantics as much as possible, in order to assist anyone involved in analytical
work with this system. However, the choice of semantic
+ categories in WDCM is not
necessarily exhaustive (i.e. they do not necessarily cover all Wikidata items),
neither the categories are necessarily
+ mutually exclusive. The
Wikidata ontology is very complex and a product of work of many people, so
there is an optimization price to be paid in every attempt to
+ adapt or simplify its
present structure to the needs of a statistical analytical system such as WDCM.
The current set of WDCM semantic categories is thus not
+ normative in any sense and
a subject of change in any moment, depending upon the analytical needs of the
community.</font></p>
<hr>
<h4>Wikidata Usage
Overview</h4>
<br>
<p><font size = 2>The
similarity structure in Wikidata usage <i>across the client projects</i> is
presented. Each bubble represents a client project.
The size of the bubble
reflects the volume of Wikidata usage in the respective project. Projects
similar in respect to the semantics of Wikidata
- usage are grouped together.
Only top five projects (of each project type) in respect to Wikidata usage
volume are labeled.<br>
- The bubble chart is
produced by performing a t-SNE dimensionality reduction of the inter-Projects
Euclidean distances derived from the
- Projects x Categories
contingency table.</font></p>
+ usage are grouped
together.<br>
+ The bubble chart is
produced by performing a <a
href="https://en.wikipedia.org/wiki/T-distributed_stochastic_neighbor_embedding";
target="_blank">t-SNE dimensionality reduction</a>
+ of the client project
pairwise Euclidean distances derived from the Projects x Categories contingency
table. Given that the original higher-dimensional space
+ from which the 2D map is
derived is rather constrained by the choice of a small number of semantic
categories, the similarity mapping is somewhat
+ imprecise and should be
taken as an attempt at an approximate big picture of the client projects
similarity structure only. More precise 2D maps of
+ the similarity structures
in client projects are found on the WDCM Semantics Dashboard, where each
semantic category first receives an
+ <a href =
"https://en.wikipedia.org/wiki/Topic_model"; target = "_blank">LDA Topic
Model</a>,
+ and the similarity
structure between the client projects is then derived from project topical
distributions.<br>
+ While the <i>Explore</i>
tab presents a dynamic <a href = "http://hafen.github.io/rbokeh/";
target="_blank">{Rbokeh}</a> visualization alongised
+ the tools to explore it in
detail, the <i>Highlights</i> tab shows a static <a href =
"http://ggplot2.org/"; target="_blank">{ggplot2}</a> plot with the most
important client projects
+ marked (<b>NOTE.</b> Only
top five projects (of each project type) in respect to Wikidata usage volume
are labeled).</font></p>
<hr>
<h4>Wikidata Usage
Tendency</h4>
<br>
<p><font size = 2>The
similarity structure in Wikidata usage <i>across the semantic categories</i> is
presented. Each bubble represents a Wikidata semantic
category. The size of the
bubble reflects the volume of Wikidata usage from the respective category. If
two categories are found in proximity,
- that means that the
projects that tend to use the one also tend to use the another, and vice
versa.<br>
- The bubble chart is
produced by performing a t-SNE dimensionality reduction of the inter-Projects
Euclidean distances derived from the
- Categories x Projects
contingency table.</font></p>
+ that means that the
projects that tend to use the one also tend to use the another, and vice versa.
Similarly to the Usage Overview, the 2D mapping is obtained by performing
+ a <a
href="https://en.wikipedia.org/wiki/T-distributed_stochastic_neighbor_embedding";
target="_blank">t-SNE dimensionality reduction</a>
+ of the categories pairwise
Euclidean distances derived from the Projects x Categories contingency table.
</font></p>
<hr>
<h4>Wikidata Usage
Distribution</h4>
<br>
@@ -244,23 +279,32 @@
In the <i>Project Usage
Rank-Frequency</i> plot, each point represents a client project; Wikidata usage
is represented on the vertical and
the project usage rank on
the horizontal axis, while only top project (per project type) are labeled. The
highly-skewed, asymmetrical
distribution reveals that a
small fraction of client projects only accounts for a huge proportion of
Wikidata usage.<br> In the
- <i>Project Usage
log(Rank)-log(Frequency)</i> plot, the logarithms of both variables are
represented. A power-law relationship holds true if this
- plot is linear; the plot
includes the best fit linear model, however, no attempts to estimate the Zipf
distribution were made. </font></p>
+ <i>Project Usage
log(Rank)-log(Frequency)</i> plot, the logarithms of both variables are
represented.
+ A <a href =
"https://en.wikipedia.org/wiki/Power_law"; target="_blank">power-law</a>
relationship holds true if this
+ plot is linear. The plot
includes the best linear fit, however, no attempts to estimate the underlying
probability distribution were made. </font></p>
<hr>
<h4>Client Project
Types</h4>
<br>
<p><font size = 2>Project
types are provided in the rows of this chart, while the semantic categories are
given on the horizontal axis.
- The height of the
respective bar indicates Wikidata usage from the respective semantic category
in a particular client project.</font></p>
+ The height of the
respective bar indicates Wikidata usage volume from the respective semantic
category in a particular client project.</font></p>
<hr>
<h4>Client Projects Usage
Volume</h4>
<br>
- <p><font size = 2>Use the
slider to select the percent range of the Wikidata usage distribution across
the client project to show. The
- chart will automatically
adjust presenting the selected projects in increasing order of Wikidata usage,
presenting at most 30 top projects
- from the
selection.</font></p>
+ <p><font size = 2>Use the
slider to select the percentile rank range of the Wikidata usage volume
distribution across the client project to show. The
+ chart will automatically
adjust to present the selected projects in increasing order of Wikidata usage,
and presenting at most 30 top projects
+ from the selection.
<b>NOTE.</b> The <a href="https://en.wikipedia.org/wiki/Percentile_rank";
target="_blank">percentile rank</a>
+ of a score is the
percentage of scores in its frequency distribution that are equal to or lower
than it.
+ For example, a client
project that has a Wikidata usage volume greater than or equal to 75% of all
client projects under
+ consideration is said to be
at the 75th percentile, where 75 is the percentile rank.<br> In effect, you can
browse the whole
+ distribution of Wikidata
usage across the client projects by selecting the lower and uppers limit in
terms of usage percentile rank.</font></p>
<hr>
<h4>Wikidata Usage
Browser</h4>
<br>
- <p><font size = 2>A
breakdown of Wikidata usage statistics across client projects, project types,
and semantic categories.</font></p>
+ <p><font size = 2>A
breakdown of Wikidata usage statistics across client projects and semantic
categories. To the left,
+ a table that presents a
Client Project vs. Semantic Category cross-tabulation. The Usage column in this
table is the Wikidata
+ usage statistic for a
particular Semantic Category x Client Project combination (e.g. The Wikidata
usage in the category "Human" in
+ the dewiki project). To the
right, the total Wikidata usage per client project is presented (i.e. the sum
of Wikidata usage across
+ all semantic categories for
a particular client project; e.g. the total Wikidata usage volume of
enwiki).</font></p>
')
)
)
diff --git a/WDCM_OverviewDashboard/www/Wikidata-logo-en.png
b/WDCM_OverviewDashboard/www/Wikidata-logo-en.png
new file mode 100644
index 0000000..380ea29
--- /dev/null
+++ b/WDCM_OverviewDashboard/www/Wikidata-logo-en.png
Binary files differ
diff --git a/WDCM_UsageDashboard/server.R b/WDCM_UsageDashboard/server.R
index 57d4b41..62fe121 100644
--- a/WDCM_UsageDashboard/server.R
+++ b/WDCM_UsageDashboard/server.R
@@ -708,6 +708,208 @@
contentType = "text/csv"
)
+ #### --- Chart: tabulations_projectTypesChart
+ output$tabulations_projectTypesChart <- renderPlot({
+ # - Chart Frame for output$tabulations_projectTypesChart
+ plotFrame <- wdcmProjectCategory %>%
+ filter(Project %in% selectedProjects & Category %in%
selectedCategories) %>%
+ group_by(`Project Type`) %>%
+ summarise(Usage = sum(Usage)) %>%
+ arrange(desc(Usage))
+ # - top 25 categories:
+ if (dim(plotFrame)[1] > 25) {
+ plotFrame <- plotFrame[1:25, ]
+ }
+ plotFrame$`Project Type` <- factor(plotFrame$`Project Type`,
+ levels = plotFrame$`Project
Type`[order(-plotFrame$Usage)])
+ # - express labels as K, M:
+ plotFrame$Label <- sapply(plotFrame$Usage, function(x) {
+ if (x >= 1e+03 & x < 1e+06) {
+ out <- paste(round(x/1e+03, 1), "K", sep = "")
+ } else if (x > 1e+06) {
+ out <- paste(round(x/1e+06, 1), "M", sep = "")
+ } else {
+ out <- as.character(x)
+ }
+ return(out)
+ })
+ # - Plot
+ ggplot(plotFrame,
+ aes(x = `Project Type`, y = Usage, label = Label)) +
+ geom_bar(stat = "identity", width = .6, fill = "#4c8cff") +
+ xlab('Project Type') + ylab('Entity Usage') +
+ ylim(0, max(plotFrame$Usage) + .1*max(plotFrame$Usage)) +
+ scale_y_continuous(labels = comma) +
+ geom_label(size = 3, vjust = -.1) +
+ theme_minimal() +
+ theme(axis.text.x = element_text(angle = 90, size = 12, hjust = 1)) +
+ theme(axis.title.x = element_text(size = 12)) +
+ theme(axis.title.y = element_text(size = 12)) +
+ theme(plot.title = element_text(size = 15)) %>%
+ withProgress(message = 'Generating plot',
+ min = 0,
+ max = 1,
+ value = 1, {incProgress(amount = 0)})
+ })
+ # - Download Frame: tabulations_projectTypesChart
+ tabulations_projectTypesChartDownload_Frame <- reactive({
+ plotFrame <- wdcmProjectCategory %>%
+ filter(Project %in% selectedProjects & Category %in%
selectedCategories) %>%
+ group_by(`Project Type`) %>%
+ summarise(Usage = sum(Usage)) %>%
+ arrange(desc(Usage))
+ plotFrame
+ })
+ # - Download: tabulations_projectTypesChart
+ output$tabulations_projectTypesChart_Frame <- downloadHandler(
+ filename = function() {
+ 'WDCM_Data.csv'},
+ content = function(file) {
+ write.csv(tabulations_projectTypesChartDownload_Frame(),
+ file,
+ quote = FALSE,
+ row.names = FALSE)
+ },
+ contentType = "text/csv"
+ )
+
+ #### --- Chart: crosstabulations_projectsCategoriesChart
+ output$crosstabulations_projectsCategoriesChart <- renderPlot({
+ # - Chart Frame for output$crosstabulations_projectsCategoriessChart
+ plotFrame <- wdcmProjectCategory %>%
+ filter(Project %in% selectedProjects & Category %in%
selectedCategories) %>%
+ arrange(desc(Usage))
+ projectOrder <- plotFrame %>%
+ group_by(Project) %>%
+ summarise(Usage = sum(Usage)) %>%
+ arrange(desc(Usage))
+ selProj <- projectOrder$Project[1:25]
+ plotFrame <- plotFrame %>%
+ filter(Project %in% selProj)
+ plotFrame$Project <- factor(plotFrame$Project,
+ levels = selProj)
+ # - express labels as K, M:
+ plotFrame$Label <- sapply(plotFrame$Usage, function(x) {
+ if (x >= 1e+03 & x < 1e+06) {
+ out <- paste(round(x/1e+03, 1), "K", sep = "")
+ } else if (x > 1e+06) {
+ out <- paste(round(x/1e+06, 1), "M", sep = "")
+ } else {
+ out <- as.character(x)
+ }
+ return(out)
+ })
+ # - Plot
+ ggplot(plotFrame,
+ aes(x = Project, y = Usage, label = Label)) +
+ geom_line(size = .25, color = "#4c8cff", group = 1) +
+ geom_point(size = 1.5, color = "#4c8cff") +
+ geom_point(size = 1, color = "white") +
+ geom_text_repel(aes(label = plotFrame$Label),
+ size = 3) +
+ facet_wrap(~ Category, ncol = 3, scales = "free_y") +
+ xlab('Project') + ylab('Entity Usage') +
+ ylim(0, max(plotFrame$Usage) + .5*max(plotFrame$Usage)) +
+ scale_y_continuous(labels = comma) +
+ theme_minimal() +
+ theme(axis.text.x = element_text(angle = 90, size = 12, hjust = 1)) +
+ theme(axis.title.x = element_text(size = 12)) +
+ theme(axis.title.y = element_text(size = 12)) +
+ theme(plot.title = element_text(size = 15)) %>%
+ withProgress(message = 'Generating plot',
+ min = 0,
+ max = 1,
+ value = 1, {incProgress(amount = 0)})
+ })
+ # - Download Frame: crosstabulations_projectsCategoriesChart
+ crosstabulations_projectsCategoriesChartDownload_Frame <- reactive({
+ plotFrame <- wdcmProjectCategory %>%
+ filter(Project %in% selectedProjects & Category %in%
selectedCategories) %>%
+ arrange(desc(Usage))
+ plotFrame
+ })
+ # - Download: crosstabulations_projectsCategoriesFrame
+ output$crosstabulations_projectsCategoriesFrame <- downloadHandler(
+ filename = function() {
+ 'WDCM_Data.csv'},
+ content = function(file) {
+ write.csv(crosstabulations_projectsCategoriesChartDownload_Frame(),
+ file,
+ quote = FALSE,
+ row.names = FALSE)
+ },
+ contentType = "text/csv"
+ )
+
+ #### --- Chart: crosstabulations_projectTypesCategoriesChart
+ output$crosstabulations_projectTypesCategoriesChart <- renderPlot({
+ # - Chart Frame for output$crosstabulations_projectTypesCategoriesChart
+ plotFrame <- wdcmProjectCategory %>%
+ filter(Project %in% selectedProjects & Category %in%
selectedCategories) %>%
+ group_by(`Project Type`, Category) %>%
+ summarise(Usage = sum(Usage)) %>%
+ arrange(desc(Usage))
+ projectTypeOrder <- plotFrame %>%
+ group_by(`Project Type`) %>%
+ summarise(Usage = sum(Usage)) %>%
+ arrange(desc(Usage))
+ plotFrame$`Project Type` <- factor(plotFrame$`Project Type`,
+ levels = projectTypeOrder$`Project Type`)
+ # - express labels as K, M:
+ plotFrame$Label <- sapply(plotFrame$Usage, function(x) {
+ if (x >= 1e+03 & x < 1e+06) {
+ out <- paste(round(x/1e+03, 1), "K", sep = "")
+ } else if (x > 1e+06) {
+ out <- paste(round(x/1e+06, 1), "M", sep = "")
+ } else {
+ out <- as.character(x)
+ }
+ return(out)
+ })
+ # - Plot
+ ggplot(plotFrame,
+ aes(x = `Project Type`, y = Usage, label = Label)) +
+ geom_line(size = .25, color = "#4c8cff", group = 1) +
+ geom_point(size = 1.5, color = "#4c8cff") +
+ geom_point(size = 1, color = "white") +
+ geom_text_repel(aes(label = plotFrame$Label),
+ size = 3) +
+ facet_wrap(~ Category, ncol = 3, scales = "free_y") +
+ xlab('Project Type') + ylab('Entity Usage') +
+ ylim(0, max(plotFrame$Usage) + .5*max(plotFrame$Usage)) +
+ scale_y_continuous(labels = comma) +
+ theme_minimal() +
+ theme(axis.text.x = element_text(angle = 90, size = 12, hjust = 1)) +
+ theme(axis.title.x = element_text(size = 12)) +
+ theme(axis.title.y = element_text(size = 12)) +
+ theme(plot.title = element_text(size = 15)) %>%
+ withProgress(message = 'Generating plot',
+ min = 0,
+ max = 1,
+ value = 1, {incProgress(amount = 0)})
+ })
+ # - Download Frame: crosstabulations_projectTypeCategoriesChart
+ crosstabulations_projectTypeCategoriesChartDownload_Frame <- reactive({
+ plotFrame <- wdcmProjectCategory %>%
+ filter(Project %in% selectedProjects & Category %in%
selectedCategories) %>%
+ group_by(`Project Type`, Category) %>%
+ summarise(Usage = sum(Usage)) %>%
+ arrange(desc(Usage))
+ plotFrame
+ })
+ # - Download: crosstabulations_projectTypeCategoriesChartFrame
+ output$crosstabulations_projectTypeCategoriesChartFrame <- downloadHandler(
+ filename = function() {
+ 'WDCM_Data.csv'},
+ content = function(file) {
+ write.csv(crosstabulations_projectTypeCategoriesChartDownload_Frame(),
+ file,
+ quote = FALSE,
+ row.names = FALSE)
+ },
+ contentType = "text/csv"
+ )
+
})
diff --git a/WDCM_UsageDashboard/ui.R b/WDCM_UsageDashboard/ui.R
index 000fdbd..2d249ae 100644
--- a/WDCM_UsageDashboard/ui.R
+++ b/WDCM_UsageDashboard/ui.R
@@ -28,10 +28,25 @@
fluidRow(
column(width = 12,
h2('WDCM Usage Dashboard'),
- HTML('<font size="3"><b>Wikidata Concepts
Monitor</b></font>'),
- hr()
+ HTML('<font size="3"><b>Wikidata Concepts
Monitor</b></font>')
+
)
), # - fluidRow Title END
+
+ # - fluidRow Logo
+ fluidRow(
+ column(width = 12,
+ img(src='Wikidata-logo-en.png',
+ align = "left")
+ )
+ ), # - fluidRow END
+
+ # - hr()
+ fluidRow(
+ column(width = 12,
+ hr()
+ )
+ ),
# - fluidRow Boxes
fluidRow(
@@ -285,16 +300,57 @@
fluidRow(
column(width
= 6,
h4('Projects'),
-
plotOutput('tabulations_projectsChart'),
+
withSpinner(plotOutput('tabulations_projectsChart', height = "600px")),
downloadButton('tabulations_projectsDownload_Frame',
'Data (csv)')
),
column(width
= 6,
h4('Categories'),
-
plotOutput('tabulations_categoriesChart'),
+
withSpinner(plotOutput('tabulations_categoriesChart', height = "600px")),
downloadButton('tabulations_categoriesDownload_Frame',
'Data (csv)')
)
+ ),
+ fluidRow(
+ column(width
= 12,
+ hr()
+ )
+ ),
+ fluidRow(
+ column(width
= 6,
+
h4('Project Types'),
+
withSpinner(plotOutput('tabulations_projectTypesChart', height = "600px")),
+
downloadButton('tabulations_projectTypesChart_Frame',
+
'Data (csv)')
+ ),
+ column(width
= 6
+ )
+ ),
+ fluidRow(
+ column(width
= 12,
+ hr()
+ )
+ ),
+ fluidRow(
+ column(width
= 12,
+
h4('Project vs Categories'),
+
withSpinner(plotOutput('crosstabulations_projectsCategoriesChart', height =
"850px")),
+
downloadButton('crosstabulations_projectsCategoriesFrame',
+
'Data (csv)')
+ )
+ ),
+ fluidRow(
+ column(width
= 12,
+ hr()
+ )
+ ),
+ fluidRow(
+ column(width
= 12,
+
h4('Project Types vs Categories'),
+
withSpinner(plotOutput('crosstabulations_projectTypesCategoriesChart', height =
"850px")),
+
downloadButton('crosstabulations_projectTypeCategoriesChartFrame',
+
'Data (csv)')
+ )
)
)
),
diff --git a/WDCM_UsageDashboard/www/Wikidata-logo-en.png
b/WDCM_UsageDashboard/www/Wikidata-logo-en.png
new file mode 100644
index 0000000..380ea29
--- /dev/null
+++ b/WDCM_UsageDashboard/www/Wikidata-logo-en.png
Binary files differ
--
To view, visit https://gerrit.wikimedia.org/r/380770
To unsubscribe, visit https://gerrit.wikimedia.org/r/settings
Gerrit-MessageType: merged
Gerrit-Change-Id: Ib912ed9dfa5060bbe888714b648be77eb6f69734
Gerrit-PatchSet: 1
Gerrit-Project: analytics/wmde/WDCM
Gerrit-Branch: master
Gerrit-Owner: GoranSMilovanovic <goran.milovanovic_...@wikimedia.de>
Gerrit-Reviewer: GoranSMilovanovic <goran.milovanovic_...@wikimedia.de>
Gerrit-Reviewer: jenkins-bot <>
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