Tools for SAC file and facility access through the R system
-
Updated
Mar 7, 2016 - C
Tools for SAC file and facility access through the R system
snu-fira-bigdata-analytics
Training examples in R
R scipts used for manuscript Sieber-Ruckstuhl, Burla, et al. (2019) Changes in the Canine Plasma Lipidome after Short- and Long-Term Excess Glucocorticoid Exposure'
This repository contains several exploratory data analysis on the global arms trade in R
This repository contains the exploratory data analysis on the VAST challenge 2018 data
R is a powerful language used widely for data analysis and statistical computing. Learn how to investigate and summarize data sets using R and eventually create your own analysis.
Analyzing NYC AirBnB Data
Analyzed and visualize the GDP Per Capita Growth, Population trend and Unemployment trend per gender for 50 years using GGPlot library
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
Analyze the population trend for 150 years using Power BI across the world.
Analysis of mortality rates done in R. The analysis is available at https://prasham8897.github.io/Mortality-Analysis-in-R/
Predicting survival rates based on the use of airbags and seat belts in high-speed car accidents dataset
Open Collaboration, Data Registry, and Use Cases Developed by the R Community
Shallow and Deep Learning resources. Programming Language: Python 3.7 and R | IDE: Jupyter Notebook and RStudio
Add a description, image, and links to the data-analysis-in-r topic page so that developers can more easily learn about it.
To associate your repository with the data-analysis-in-r topic, visit your repo's landing page and select "manage topics."