Useless R Functions. That's it
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Updated
Apr 20, 2025 - R
Useless R Functions. That's it
🐄 🔬 💻 Repository of tools for data analysis in genomics and animal genetic improvement.
Metabolite Peak List Merge, Annotation & Polishing Tool: A user friendly, platform independent R tool to merge, annotate and polish metabolite-peak list data from LC-/GCMS runs
Analyze monthly machine usage data to determine machine utilized less than 90% and plan usage based on findings to save millions of dollars and decrease delays in processing
This repository contains R scripts for replicating animated EEG figures generated in a data visualization project using BrainCo Inc.'s FocusCalm Headband. The scripts enable replication of analysis methods for investigating personal meditation practices across time.
Studijní materiály ke kurzu 4EK417 Praktikum z ekonometrie
🧐 This project analyzes Amazon Fine Food Reviews to investigate whether negative reviews are more emotionally intense and lexically repetitive than positive ones. Using R, we apply sentiment analysis and lexical diversity metrics to uncover patterns in consumer review language.
R function for building hourly precipitation time series from multiple single-level GrADS data sets
This EDA has been performed on Comcast Consumer Complaints dataset.
This repository has some important scripts to make plentymarkets REST API calls. Moreover, the scripts help us to download all orders, stocks from the plentymarkets and make data analysis.
💲 💹 🐮 Repositório de ferramentas para análise de dados do mercado de boi gordo no Brasil.
Calculation of Wisconsin Large River Index of Biotic Integrity (IBI) as developed by National Park Service Staff
Customer Profile & Shopping Behavior Analysis is an R-based project analyzing customer data from retail stores, focusing on segmentation, seasonal trends, and market behaviors.
This R script analyzes Michaels store traffic, compares it with competitors, and assesses market share. Explore proximity, sales trends, and demographic insights for strategic decision-making.
Statistical Analysis with R - Summary Statistics, T-Tests, ANOVA. Performed statistical testing in programming language R for a car company. Statistical tests provided data-based insight on the company performance and suggested additional testing for comparison of Car company against its competition.
Data and code for SMJ 2019 paper
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