Minimal R/Shiny Interface to ECharts.js
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Updated
Dec 29, 2024 - R
Minimal R/Shiny Interface to ECharts.js
R tool for automated creation of ggplots. Examines one, two, or three variables and creates, based on their characteristics, a scatter, violin, box, bar, density, hex or spine plot, or a heat map. Also automates handling of observation weights, log-scaling of axes, reordering of factor levels, and overlays of smoothing curves and median lines.
Shiny App for comparison of samples
Development version of vioplot R package (CRAN maintainer)
In this tutorial, you'll learn how to re-create this map with an eye on using inset graphs within a map in R
Package for automation of statistics that are widely used in metabolomics.
A development version of the vioplot R package. This has been migrated to "vioplot" as version 0.3.
Youtube Trend Dashboard - Find out what key characteristics make a particular youtube video land in the trending section
Now you can visualize dataset, fit the model without knowing any programming language
📘 Ejemplos de gráficos con R
Data Visualization with Base R Graphics Package
Data analytics of a bike sharing system in R. Kaggle challenge data: https://www.kaggle.com/c/bike-sharing-demand/data
This Data set consists of information about an employee, There are attributes such as education level, experience level, age, salary, gender, department, degree, ratings, work ethics, current company working experience, job level, job role, attrition rate, employee id, employee satisfaction etc to take some serious important decisions for the co…
IMDb movies dashboard to help producers plan their next movie.
Descriptive Statistics
Add a description, image, and links to the boxplot topic page so that developers can more easily learn about it.
To associate your repository with the boxplot topic, visit your repo's landing page and select "manage topics."