Reporting of the actual data in graphs and plots increases transparency and enables independent evaluation. On the other hand, data summaries are often used in graphs because they aid interpretation. To democratize state-of-the-art data visualization of raw data with a selection of statistical summaries, a freely available, open-source web app was written using R/shiny that uses the ggplot2 package for generating plots. Users can to choose how to display the data and which of the data summaries to add. In addition, the 95% confidence intervals (95CIs) can be added for visual inferences. By adjusting the visibility of the layers, the visualization of the raw data and their summaries can be tuned for optimal presentation and interpretation. T...
Abstract Background We introduce BPG, a framework for generating publication-quality, highly-customi...
One way to publish data in a machine-readable form on the Internet is in the form of a graph. Such d...
Extension of 'ggplot2', 'ggstatsplot' creates graphics with details from statistical tests included ...
Reporting of the actual data in graphs and plots increases transparency and enables independent eval...
Experimental data can broadly be divided in discrete or continuous data. Continuous data are obtaine...
Experimental data can broadly be divided in discrete or continuous data. Continuous data are obtaine...
The sample data that are available in PlotsOfData are presented together with statistics in differen...
Visualisation is a key element for analysis in statistics. This thesis describes data visualisation ...
Across scientific disciplines, there is a rapidly growing recognition of the need for more statistic...
Graphics are widely used to provide summarization of complex data in scientific publications. Althou...
Across scientific disciplines, there is a rapidly growing recognition of the need for more statistic...
Graphical displays can reveal problems in a statistical model that might not be apparent from purely...
Across scientific disciplines, there is a rapidly growing recognition of the need for more statistic...
Graphic data visualization is essential to Exploratory Data Analysis and precedes any statistical an...
This book and app is for practitioners, professionals, researchers, and students who want to learn h...
Abstract Background We introduce BPG, a framework for generating publication-quality, highly-customi...
One way to publish data in a machine-readable form on the Internet is in the form of a graph. Such d...
Extension of 'ggplot2', 'ggstatsplot' creates graphics with details from statistical tests included ...
Reporting of the actual data in graphs and plots increases transparency and enables independent eval...
Experimental data can broadly be divided in discrete or continuous data. Continuous data are obtaine...
Experimental data can broadly be divided in discrete or continuous data. Continuous data are obtaine...
The sample data that are available in PlotsOfData are presented together with statistics in differen...
Visualisation is a key element for analysis in statistics. This thesis describes data visualisation ...
Across scientific disciplines, there is a rapidly growing recognition of the need for more statistic...
Graphics are widely used to provide summarization of complex data in scientific publications. Althou...
Across scientific disciplines, there is a rapidly growing recognition of the need for more statistic...
Graphical displays can reveal problems in a statistical model that might not be apparent from purely...
Across scientific disciplines, there is a rapidly growing recognition of the need for more statistic...
Graphic data visualization is essential to Exploratory Data Analysis and precedes any statistical an...
This book and app is for practitioners, professionals, researchers, and students who want to learn h...
Abstract Background We introduce BPG, a framework for generating publication-quality, highly-customi...
One way to publish data in a machine-readable form on the Internet is in the form of a graph. Such d...
Extension of 'ggplot2', 'ggstatsplot' creates graphics with details from statistical tests included ...