Some news


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Just some few news from Minerazzi:

1. All miners now give users the option of including/excluding results matching parts of a word (substring matching). Try one now at Useful for matching plurals, word roots, or word derivatives.
2. Slowly, but steadily, new tools and tutorials have been added to the platform.
3. We are currently building a new miner for accessing the Comprehensive R Archive Network (CRAN).

JStatMiner – A new miner at Minerazzi


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JStatMiner is a new miner built with Minerazzi and available at

Use it to mine all top statistical journals from around the World!

Whether you are a researchers, librarian, teacher, or student, now you can have an easy access to a huge collection of popular and hard-to-find statistical journals.

Statpacks: A New Miner


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This is a new miner built with Minerazzi. Use it to find all kind of statistical tools and software packages for research, teaching, or business. Search by company or product name.


Find Stata, SAS, SPSS, or similar software solutions. Access Mac, Microsoft, IBM statistical packages, or links pointing to rare research tools.


Available now at Visit for other equally interesting miners.

The Standardizer: A New Tool at Minerazzi


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This tool transforms a data set into z-scores and one/two-tail percentiles.

The tool also computes central tendency and dispersion measures like means, medians, standard deviations, variances, coefficients of variation, and ranges.

Available now at

The Self-Weighting Model Tutorial: Parts 1 and 2


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This is a two-parts tutorial on The Self-Weighting Model (SWM), available at

In part 1, we show how the model provides a solution to the problem of computing valid averages from non additive quantities. In part 2, we derive the model and show how it could be used for a broad range of engineering, science, information retrieval, and data mining problems where conditional weighted means must be computed.

For other tutorials, visit

A Quantile-Quantile Tutorial

We have restored our quantile-quantile tutorial from our previous site and is now available at

This is an Excel-based tutorial.

Quantile analysis by means of constructing quantile-quantile plots (q-q plots) is a technique for determining if different data sets originate from populations with a common distribution.

If the common distribution is normally distributed, a q-q plot can be used to test for normality. The technique is applicable to a wide range of data mining and engineering problems.

The Intelligence, Security, and Assurance (ISA) Miner


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The Intelligence, Security, and Assurance (ISA) collection is a new miner built with Minerazzi (

Use it to find resources relevant to information intelligence, security, and assurance.

Search by software tools, companies, and government agencies, or by graduate school programs offering courses on these subjects.

New Tool at Minerazzi: The Data Set Editor


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Some times you need to deduplicate or sort alphabetically a set of items delimited in some way. Perhaps you just want to remove those items that match specific terms or strings.

Items can be email addresses, phone numbers, links, urls, names, keywords, etc. These might be delimited by lines (\n), tabs (\t), spaces, commas, colons, semicolons, or periods.

We have developed a tool that allows you to edit these types of sets, precisely. Just submit a data set, select how it is delimited, and chose few edit options.

Try it now at

Enjoy it :)

The Color Miner: A Fractalette Generator


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Our old Color Miner tool is now available at

This is a tool that generates fractalettes.

We define a fractalette as a color palette within a color palette. These types of fractal-like arrays allows you to investigate color-color, color-space, and space-space relationships.

To use it, just submit an absolute URL, complete with its http(s) scheme.

Enjoy it. :)