AnalysisPrep

Support data extraction for analysis and machine learning.

In order to extract data from several systems, I've combined some of the tools that make this easier.

• Normalize and scale a data series
• One hot or label encode a data series
• Calculate frequencies and frequency percentages
• Summarize variables with basic statistics (mean, sum, min, max, median, standard deviation, etc.)
• Estimate the correlation between variables.
• Extract probabilistic values for Markov models and other probabilistic models.
• Save data into CSV files

For now, the Doctests are the best documentation for using these features. I'll write up some better demonstrations soon.

TODO:

This is a work in progress. There are several things I'd still like to add.

• Demonstrate the core features
• Extraction via Ecto
• Binning functions
• Test and expand to support GenStage and Flow
• Time series analysis

Installation

If available in Hex, the package can be installed as:

1. Add analysis_prep to your list of dependencies in mix.exs:

```elixir
def deps do
  [{:analysis_prep, "~> 0.1.0"}]
end
```

2. Ensure analysis_prep is started before your application:

```elixir
def application do
  [applications: [:analysis_prep]]
end
```