There are 1 repository under r-programming-language topic.
Various online & other resources for learning and improving skills in the R programming language
This is a repository for resources completed as part of the Johns Hopkins University Data Visualization and Dashboarding With R Specialization.
A repository for materials related to the “Workshop on Quantitative Approach in Linguistics” (14-15 July 2025) as part of the International Congress of the Linguistic Society of Indonesia 2025 (16-18 July 2025).
A comprehensive report on global data career trends, analyzing salaries, popular programming languages, and industry challenges based on a survey of 630 professionals.
The R Programming For Data Science A-Z Complete Diploma 2022 (Udemy Programs)
A collection of data analytics learning resources that I've found helpful (I only post what I've read!)
A comprehensive R tutorial repository covering essential programming concepts and practical examples to help you master R programming
30 Days R Challenge
This repository contains files and data related to courses of Machine Learning and Statistics.
A template for reproducible R analysis projects
The task involves analyzing a dataset named "house-data.csv" from the perspective of classification, prediction, and validation using the R programming language.
I learnt from Google employees whose foundations in data analytics served as launchpads for their own careers. At under 10 hours per week, you can complete the certificate in less than 6 months.
Visualise avaocado sale across US by R Shiny
This repository documents how data from three different publicly available databases (FIA DataMart, Climatology Lab, and USFS Insect & Disease Detection Survey) can be combined into one easily understandable data frame.
This is a repository for resources completed as part of the Duke University Statistics with R Specialization.
This is a simple R function that uses the `httr` library to translate text using the Google Translate API.
Sample Codes of Spark using R programming
A repository having all my physics and math programs.
análisis de datos estadístico sobre la prueba de tolerancia a la glucosa en un grupo de jóvenes y otro grupos de adultos
Customer Behavior Analysis project utilizing the "Groceries Market Basket Dataset" from Kaggle. The project employs a data-driven approach to uncover customer purchasing patterns and relationships within the grocery market using K-means Clustering and Association Rules using Apriori-Algorithm. In collaboration with some friends.
Bachelor's level report: How do working hours and income influence sleep, and what are the implications for health and productivity?
Analysis of IPL dataset of past years and using different types of graphs .
Irish hospital's patient discharge data for four counties analysis
Used R to visualize and analyze poll data of US presidential elections in 2016 and 2020. Compared poll results for key states between those years.
Used R to visualize and analyze a dataset of heart patients with many predictor variables. Evaluated several machine learning models, such as logistic, linear discriminant analysis, quadratic analysis model, and K-nearest neighbors model, to find best fit for the data. Used random forests for tuning and cross validation.
Predicting housing prices with nominal and rent data for different locations using K-Means Clustering
Analysis of SuperStore sales data with visual insights into customer segmentation and product trends
Plotting Assignment 1 for Exploratory Data Analysis-- JHU Data Science Specialization
This repository contains the implementation and documentation for the Advanced Medical Insurance Cost Prediction Model II. The project focuses on utilizing advanced machine learning techniques to predict insurance costs based on user-specific demographic and health-related information.
Insights into YouTube Channel Performance - A Data-Driven Approach
This repository, Composite Visualization of Microsoft Stock Performance (2010-2022) contains visualization of Microsoft Stock performance from 2010 to 2022. Line graph, correlation heatmap, scatter plot, and histogram were produced in this visualization project.
This guide explains how to perform a Two-Way ANOVA in R. Two-Way ANOVA is used to evaluate the influence of two different categorical independent variables on one continuous dependent variable. Additionally, it helps in understanding if there is an interaction between the two factors affecting the dependent variable.
This is a ShinyApp, developed with R language that allows users to perform PCA on their datasets.
A R wrapper package for Weatherbit API.