📈 📊 Introduces geom_pointdensity(): A Cross Between a Scatter Plot and a 2D Density Plot.
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Updated
May 16, 2024 - R
📈 📊 Introduces geom_pointdensity(): A Cross Between a Scatter Plot and a 2D Density Plot.
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.
The project aims to perform various visualizations and provide various insights from the considered Indian automobile dataset by performing data analysis that utilizing machine learning algorithms in R programming language.
Cambridge University Computer Laboratory weather station R shiny web app
Human-friendly visualizations for course evaluation datasets
htmlwidget for R wrapping 'regl-scatterplot' JavaScript library
Create scatter plots with marginal density / box plots in jamovi and R
Personal R Programming Project
The Life Expectancy Indicator Dashboard visualizes a dataset consisting of survey questions and responses about various aspects of life expectancy for countries all over the world.
Data Visualization with Base R Graphics Package
An R package to generate heatbox and scatter plots from a feature matrix.
Grouped compounds together w/ k-means clustering then displayed it using R-Shiny front end. The criteria for comparison are h-bond donators, h-bond acceptors, and rotational bonds. Compound.csv is made w/ 1000 random chemicals from disgenet.org
Useful graphs for financial projects
This repository you are browsing contains intermediate level piece of codes which are useful for cleaning, exploratory analysis, handling of missing data points, outlier detection and different visualization techniques using graphics, ggplot2, tidycharts, ggExtra packages. Also in particular part of the script you can get basic information about…
This project explores the relationship between features and diagnosis in cancer data. Using methods like boxplots, scatterplots, PCA, k-means clustering, and logistic regression, we analyze and visualize data to understand health indicators.
R code to analyze streaming video platforms (code developed by Maitha Almemari and Mariam Almuhairi)
Regression Analysis: To determine the effect of candy and cereal consumption on the increasing number of dental visits (with R).
This project to implementing statistical inference techniques using R language.
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