r-programming-language
There are 0 repository under r-programming-language topic.
CABAH / learningRresources
Various online & other resources for learning and improving skills in the R programming language
mattpinkerton / Johns_Hopkins_Data_Visualization_and_Dashboarding_With_R
This is a repository for resources completed as part of the Johns Hopkins University Data Visualization and Dashboarding With R Specialization.
Language:HTML 11dev-aniketj / R-Programs
The R Programming For Data Science A-Z Complete Diploma 2022 (Udemy Programs)
Language:R 3Amey-Thakur / R
30 Days R Challenge
Language:Jupyter Notebook 2hassothea / MLcourses
This repository contains files and data related to courses of Machine Learning and Statistics.
Language:HTML 2lbarqueira / Data-Analytics-Learning-Resources
A collection of data analytics learning resources that I've found helpful (I only post what I've read!)
- Language:Jupyter Notebook 2
Pegah-Ardehkhani / R-Tutorial
A comprehensive R tutorial repository covering essential programming concepts and practical examples to help you master R programming
Language:Jupyter Notebook 2abiodunarabaa / Housing-Data
The task involves analyzing a dataset named "house-data.csv" from the perspective of classification, prediction, and validation using the R programming language.
AnalystHub-Hub / Google-Data-Analytics-Professional-Certificate
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.
Language:HTML 1antran28 / R-Shiny-Practice-Avocado-Sale-Visualization
Visualise avaocado sale across US by R Shiny
Language:R 1Denise-R / FIA_Midwest_Weather_Data
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.
Language:HTML 1real0x0a1 / R-Translator
This is a simple R function that uses the `httr` library to translate text using the Google Translate API.
Language:R 1- SparkR_test
Soumyadipta2020 / SparkR_test
Sample Codes of Spark using R programming
Language:Jupyter Notebook 1 SuhasPK / My-Computational-Physics
A repository having all my physics and math programs.
Language:Jupyter Notebook 1aanujkhurana / BigData-Analysis
SocialMedia Big Data Analysis for Eminem (music artist), using RStudio and R lang
Language:R 0ali101298 / Loan-interest-rate-prediction
Predicting loan interest rate using R.
Language:Jupyter Notebook 0complexico / anger-mad-coca
A repository for R codes and data for a paper titled "Exploring grammatical and semantic profiles of ANGRY and MAD: A corpus-based study". The paper uses data from the Corpus of Contemporary American English (COCA) as part of the undergraduate thesis project by Ida Ayu Saskara Tranggana Suari, supervised by Prof. I N. Sudipa and Gede Rajeg, PhD.
Language:R 0ebadatibnbabar / Rainfall-Forecasting-ETS
Application of the ETS model to forecast rainfall patterns. Leveraging time-series analysis techniques, it predicts future rainfall levels by analyzing historical data specifically from Bahwalnagar District, Punjab, Pakistan.
Language:R 0emmaarenas / analisis-estadistico-prueba-glucosa
análisis de datos estadĂstico sobre la prueba de tolerancia a la glucosa en un grupo de jĂłvenes y otro grupos de adultos
Language:Jupyter Notebook 0a lil tutorial about how to install the R kernel in Jupyter Notebooks
0glyspy / RNA-seq-analysis
RNA-seq replication analysis.
Language:R 0kayleyawatson / FH-Democratic-Backsliding
This repository contains files related to a longitudinal study of global democratic backsliding conducted by Lia Smith and Kayley Watson. The study utilizes R programming language for data analysis and visualization.
Language:HTML 0- Language:R 0
SayanAndrews2002 / Election-Polling-Report
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.
Language:R 0Used 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.
0vaishnavipaithane / Cyclistic-bike-share-analysis-case-study
This capstone project was done as a part of Google Data Analytics Professional Certificate course.
Language:R 0- housing-prices-prediction
derekgan08 / housing-prices-prediction
Predicting housing prices with nominal and rent data for different locations using K-Means Clustering
Language:R Analysis of SuperStore sales data with visual insights into customer segmentation and product trends
Language:RHashezm / WSPR-Signal-Propagation-Analysis
A comprehensive analysis in R of weak signal propagation within the WSPR network, focusing on the impact of distance, frequency, and power on signal-to-noise ratios. The project includes data cleaning, statistical analysis, and linear regression modeling to predict signal reception quality and understand the factors influencing signal propagation.
Language:Jupyter NotebookMikekay262 / Advanced-Medical-Insurance-Cost-Prediction-Model
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.
Language:HTMLMohamed-Walied / Customer-Behavior-Analysis-using-R
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.
Language:R- Work.Hours.and.Income-Effects.on.Sleep
pieropls / Work.Hours.and.Income-Effects.on.Sleep
Bachelor's level report: How do working hours and income influence sleep, and what are the implications for health and productivity?
Language:R stephenombuya / StatisticsPractice
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.
Language:Rtastoffel / PCA_Shiny
This is a ShinyApp, developed with R language that allows users to perform PCA on their datasets.
Language:R
