Eskapade v0.6
The primary feature of version 0.6 (August 2017) is the inclusion of Spark, but this version
also includes several other new features and analyses.
We include multiple Spark links and 10 Spark examples on:
- The configuration of spark, reading, writing and converting spark dataframes, applying functions and queries to dataframes,
filling histograms and (very useful!) applying arbitrary functions (e.g. pandas) to groupby calls.
In addition we hade added:
- A ROOT analysis for studying and quantifying between sets of (non-)categorical and observables.
This is useful for finding outliers in arbitrary datasets (e.g. surveys), and we include a tutorial of how to do this. - A ROOT analysis on predictive maintenance that decomposes a distribution of time difference between malfunctions
by fitting this multiple Weibull distributions. - New flexible features to create and chain analysis reports with several analysis and visualization links.