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Comparison of the number of observed vs expected responses in the DVS 2020 Census per country based on population.
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Kyle Steven Habig onto DVS Census 2020 Visualizations @ 10:45 am on 17 Mar 2021
Comparison of percentages of respondents who have indicated a given job frustration grouped into years of different experience.
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Kyle Steven Habig onto DVS Census 2020 Visualizations @ 9:53 am on 17 Mar 2021
Chart and map of the usage and relationship of data visualization tools in different regions.
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Kyle Steven Habig onto DVS Census 2020 Visualizations @ 9:48 am on 17 Mar 2021
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Ann Bessenbacher onto Open Access Journal Information @ 1:49 pm on 16 Mar 2021
Information on Purdue Libraries open access publication fund.
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Ann Bessenbacher onto Open Access Journal Information @ 1:47 pm on 16 Mar 2021
Likert is an R package designed to help analyzing and visualizing Likert type items. It has been developped by Jason Bryer and Kim Speerschneider.
This barplot comes from the demo page and has been sent by Carlos Ortega.
It allows to analyse the reading attitudes from a panel of people. Each line represents a question. The barplot explains the feeling of people concerning this question.
# library library(likert) # Use a provided dataset data(pisaitems) items28 <- pisaitems[, substr(names(pisaitems), 1, 5) == "ST24Q"] # Build plot p <- likert(items28) plot(p)
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Ann Bessenbacher onto R Visualizations @ 11:36 am on 16 Mar 2021
Graphs of how groups of different experience levels differ in software use, job frustrations, and more.
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Kyle Steven Habig onto DVS Census 2020 Visualizations @ 2:54 pm on 23 Feb 2021
Graphic of circles to visualize ways people learn data visualizations.
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Ann Bessenbacher onto DVS Census 2020 Visualizations @ 10:14 am on 17 Feb 2021
if you don't pay for an account you have to give credit somewhere on the infographic.
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Ann Bessenbacher onto InfoGraphics @ 11:50 am on 09 Nov 2017
stock photos some do cost. Should choose high resolution.
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Ann Bessenbacher onto InfoGraphics @ 11:47 am on 09 Nov 2017
