📈 📊 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
Data Visualization with Base R Graphics Package
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.
An R package to generate heatbox and scatter plots from a feature matrix.
This project aims to compare the adoption of the internet in Denmark and Belarus and determine if income level has an impact on the speed of adoption. The data used for this analysis is from the World Bank Data (1990-present) and is stored in the file "WorldBankData.csv".
Learning R Programming Language
Useful graphs for financial projects
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
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…
Topic : Revealing and analyzing the distribution, frequency, and impact of significant earthquakes that happened across various regions and periods of time with several visualization techniques.
Contains R codes for processing and analyzing data for Great Lakes Cladophora work
This project is created for analyzing the Employee salary in 2016. For this used the R programming language, and RStudio
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