Visualizations for mlr3
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Updated
Jul 23, 2025 - R
Visualizations for mlr3
An R-shiny package to analyse and visualise fungal gene expression data
Alternative layout for maps of Spain - code and data
One liner analyses and visualizations for bulk RNA-seq and ChIP-seq data
A repository of scripts to create some of the most popular individual-level data visualizations at PBCAR
Basic Statistic operations using R language
Visualizing Time Series Data
Script for generating a dynamic, multi-paged video spectrogram from an audio file in R
Visualization of yelp dataset available on Kaggle. Requires active Google Maps API key
Analyze whether female faculty at the school were less likely to be full professors, more likely to be assistant professors, and earn less money than men, on average.
This repository will contain R code used for determining a recent eligibility report used for alignment of goals for budget and progress reporting periods. It will also contain code for various tables and graphs used to convey the findings of the report.
R Shiny script for visualization support of Who's Making News: https://www.whoismakingnews.com/
Generating synthetic clusters to illustrate simple k-means and k-prototypes clustering
Analytics to help MLB team manager improve team performances
An easy-to-use Python tool for visualizing multi-sample VCF SNP genotypes as a categorical heatmap, where homozygous reference, heterozygous, homozygous alternate & missing data are color-coded. Ideal for genetic studies, comparative analyses & QC of variant data.
Predicting stock market performance using Twitter sentiments on COVID-19.
This was a case study for the PGDDS course from IIIT, Bangalore and Upgrad. Here, we're trying to find the supply demand gap between Uber rides to and from the airport for a given city using a given dataset. The project is done in R.
pairwise comparison between two OTU - species abundance tables
Analysis of the data set to draw useful results like demographics of suicides, states with the highest number of suicides, most common reasons for suicides, etc.
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