Las características principales de yhat/ggplot son: Data Analysis Visualization.
Las alternativas de código abierto para yhat/ggplot incluyen: apache/spark — Apache Spark is a unified distributed data processing engine designed for large-scale data analysis and computation… avelino/mining. cloudera/impala — Real-time Query for Hadoop; mirror of Apache Impala. continuumio/bokeh. dcjones/gadfly.jl. apache/hadoop-mapreduce.
Apache Spark is a unified distributed data processing engine designed for large-scale data analysis and computation graphs. It functions as a distributed machine learning framework, a graph processing system, a real-time stream processor, and a SQL analytics engine. The system enables the execution of distributed SQL querying, large-scale graph analysis, and real-time stream analytics across clusters of machines. It also provides a scalable environment for implementing machine learning algorithms and predictive model development on massive datasets. The engine incorporates relational query e
