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…

Multiple-Node Standalone Spark with R and Python

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

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.

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

R notebooks

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

Taller Big Data con Apache Spark + R desde Databricks cloud

R workloads running at scale on Google Cloud

Course material for the "Encounters with Big Data" course delivered by the UK Data Service at the 2017 Big Data and Analytics Summer School.

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

SparkR Demo

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

Docker images for testing SparkR builds