Categorygithub.com/DavidGamba/csv-analysis
repositorypackage
0.0.0-20180818223229-000f34f73245
Repository: https://github.com/davidgamba/csv-analysis.git
Documentation: pkg.go.dev
Overview
Dependencies
11
Dependents
0

# Packages

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# README

= CSV-Analysis :stem:

An easy to use csv data analyser.

The csv-analysis tool's goal is to provide an easy way to analyse your data with different tools so you can then create a customized tool that matches your data's needs.

In the case of a single column analysis, it will provide statistical information on the data.

In the case of X, Y datasets, it will provide different plots with the following:

  • Y vs X.
  • Y vs X, least squares polynomial regression.
  • Linear Transformation Y vs X, least squares linear regression.

In the case of X, Y datasets, where the X dataset is time based, it will plot Y vs X and provide statistical information on the Y data.

== Linear transformation

|=== |Type |Equation |Linear |Transformation

|Power |stem:[y = ax^b] |stem:[log y = log a + b * log x] |stem:[Y = log y] + stem:[X = log x] + stem:[A = log a] + stem:[B = b]

|Exponential |stem:[y = ae^(bx) = aB^x] |stem:[ln y = ln a + bx = ln a + ln B * x] |stem:[Y = ln y] + stem:[X = x] + stem:[A = ln a] + stem:[B = b = ln B]

|Logarithmic |stem:[y = a + b ln x] |stem:[y = a + b ln x] |stem:[Y = y] + stem:[X = ln x] + stem:[A = a] + stem:[B = b]

|Reciprocal |stem:[y = a + b / (1 + x)] |stem:[y = a + b * 1 / (1 + x)] |

|Reciprocal |stem:[y = 1 / (a + bx)] |stem:[1/y = a + bx] |

|Reciprocal |stem:[y = 1 / (a + bx)^2] |stem:[1/sqrt(y) = a + bx] |

|Square Root |stem:[y = a + b * sqrt(x)] |stem:[y = a + b * sqrt(x)] |

|===

== Usage

link:csv-analysis.adoc[]

== Roadmap

  • Clean up code.

  • Add a nicer Readme.

  • Add man page.

  • Split into cli app and lib to allow for custom solutions.

  • Add list of common date formats to ease --xtimeformat use.

  • Read date formats in non-golang date formats. For example, the date command format.

  • Fix R^2^ calculations.

  • Change power transformation from Log10 to Ln.

  • Add Growth stem:[y = ae^(b/x)] -> stem:[ln y = ln a + b * 1/x]

  • Add hyperbola stem:[y = x / (ax - b)] -> stem:[1/y = a - b (1/x)]

== License

This file is part of csv-analysis.

Copyright (C) 2017 David Gamba Rios

This Source Code Form is subject to the terms of the Mozilla Public License, v. 2.0. If a copy of the MPL was not distributed with this file, You can obtain one at http://mozilla.org/MPL/2.0/.