A collection of geoms for R's 'ggplot2' library. geom_shadowpath(), geom_shadowline(), geom_shadowstep() and geom_shadowpoint() functions draw a shadow below lines to make busy plots more aesthetically pleasing. geom_glowpath(), geom_glowline(), geom_glowstep() and geom_glowpoint() add a neon glow around lines to get a steampunk style.
A lightewight tool for visualizing your benchmarks history
interactive Bioinformatics Exploratory Tools
Differential Epigenetic Correlation Test
This page serve as the repository for the script file I used in my LiquidBrain Youtube Video
A Shiny application for visualizing Geographically Weighted Regression (GWR) results in an interactive 3D environment. Ideal for educational purposes and exploring spatial data relationships. Built with R, Shiny, and plotly.
Importing and analyzing Twitter Data with R. Conencting to Twitter, Importing Data, Cleaning and Analyzing the Tweets.
A package written for R focused on baseball analysis. Currently in development.
Shiny app visualizes air pollution data collected in the Czech Republic from 2013 to 2019. The measurements data (measurements.RData) is downloaded from European Environmental Agency (https://www.eea.europa.eu/themes/air). The file stations.RData contains information about each station. Report.rmd is used for extraction of information in word.
An interactive visualization for Principal Component Analysis (PCA).
Compares socio-economic info with suicide rates by year and country
computes scales based on circle of 5ths and 4ths and draw guitar fretboard with natural notes on it
Visualizing subventions distribution by constituencies and oblasts
🚇 *in progress* How far metro schemas from their real-life prototypes
This R Shiny web app analyzes sentiment in uploaded text documents, displaying the top 10 negative and positive words, word frequency visualizations, and an interactive word cloud. Users can customize word frequency settings, making it easy to explore key terms and sentiment.
rxpViz provides some easy vizualization functions
Add a description, image, and links to the vizualisation topic page so that developers can more easily learn about it.
To associate your repository with the vizualisation topic, visit your repo's landing page and select "manage topics."