R notebooks

Data analysis and Model building on large datasets using Hive and Spark

Multiple-Node Standalone Spark with R and Python

Self-service modeling analysis tool based on R language and big data. It integrates SparkR, Rserve, and Mlib machine learning libraries

R workloads running at scale on Google Cloud

用r、spark做的一些统计分析、机器学习实例，待传

This is a demonstration of using Spark to explore large dataset, by using PySpark and SparkR. The files include loading data, data exploration and using clustering on words of Shakespeare's novels.

SparkR Demo

Mirror of https://gitlab.com/zero323/dlt

Bi and Big Data Analytics, sparkR, Supervised and Unsupervised Machine Learning techniques The project's aim is of applying a supervised and an unsupervised machine learning technique on a dataset to test different models/scenario, interpret the results, perform predictions for each model and visualised the results.

Extra docker images from rocker/tidyverse

Processing massive datasets in Hadoop and SparkR

Docker images for testing SparkR builds

Taller Big Data con Apache Spark + R desde Databricks cloud

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…

A curated list of essential cheatsheets for data analysis, visualization and machine learning using R or Python

Fit a Cubist regression model on StackOverflow data and make predictions in a distributed manner with SparkR