Analyzing the safety (311) dataset published by Azure Open Datasets for Chicago, Boston and New York City using SparkR, SParkSQL, Azure Databricks, visualization using ggplot2 and leaflet. Focus is on descriptive analytics, visualization, clustering, time series forecasting and anomaly detection.

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

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

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.

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

Multiple-Node Standalone Spark with R and Python

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

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…

用r、spark做的一些统计分析、机器学习实例，待传

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.

Processing massive datasets in Hadoop and SparkR