Ludovico Pinzari
• Male
• Sydney
• Australia

# Ludovico Pinzari's Page

## Latest Activity

Jun 24, 2019
Ludovico Pinzari posted a blog post

### The Divergence Index: A new polarization measure for ordinal categorical variables

In the statistical literature, for ordinal types of data, are known lots of indicators to measure the degree of the polarization phenomenon. Typically, many of the widely used measures of distributional variability are defined as a function of a reference point, which in some “sense” could be considered representative for the entire population. This function indicates how much all the values differ from the point that is considered “typical”.Of all measures of variability, the variance is a…See More
Jun 20, 2019
Ludovico Pinzari's blog post was featured

### The Divergence Index: A new polarization measure for ordinal categorical variables

In the statistical literature, for ordinal types of data, are known lots of indicators to measure the degree of the polarization phenomenon. Typically, many of the widely used measures of distributional variability are defined as a function of a reference point, which in some “sense” could be considered representative for the entire population. This function indicates how much all the values differ from the point that is considered “typical”.Of all measures of variability, the variance is a…See More
Jun 20, 2019
Ludovico Pinzari posted a blog post

### The Homogeneity and Location Index: An open-source Statistical Framework for the classification of ordinal categorical data

The analysis and classification of ordinal categorical data are central in most scientific domains and ubiquitous in governments and businesses.Examples of ordinal data are either found in questionnaires for measuring opinions or self-reported health status. A well-known example of ordinal data is the Likert Scale [1](DISLIKE = 1, DISLIKE SOMEWHAT = 2, NEUTRAL = 3, LIKE SOME WHAT = 4, LIKE = 5).Other…See More
Jun 6, 2019
Ludovico Pinzari's blog post was featured

### The Homogeneity and Location Index: An open-source Statistical Framework for the classification of ordinal categorical data

The analysis and classification of ordinal categorical data are central in most scientific domains and ubiquitous in governments and businesses.Examples of ordinal data are either found in questionnaires for measuring opinions or self-reported health status. A well-known example of ordinal data is the Likert Scale [1](DISLIKE = 1, DISLIKE SOMEWHAT = 2, NEUTRAL = 3, LIKE SOME WHAT = 4, LIKE = 5).Other…See More
Jun 6, 2019

## Profile Information

Job Title:
Research Data Scientist
Seniority:
Other
Job Function:
Data Science, Other
Short Bio:
I'm a software engineer and research data scientist with three years of industry-Ph.D experience working in Government agencies.

My Ph.D research project was focussed on the prototyping of unsupervised Machine Learning algorithms for clustering spatial data and the development of user interfaces and visualization tools that deliver such algorithms.
Interests:
Contributing

## Ludovico Pinzari's Blog

### The Divergence Index: A new polarization measure for ordinal categorical variables

Posted on June 17, 2019 at 11:54pm

In the statistical literature, for ordinal types of data, are known lots of indicators to measure the degree of the polarization phenomenon. Typically, many of the widely used measures of distributional variability are defined as a function of a reference point, which in some “sense” could be considered representative for the entire population. This function indicates how much all the values differ from the point that is…

Continue

### The Homogeneity and Location Index: An open-source Statistical Framework for the classification of ordinal categorical data

Posted on June 1, 2019 at 3:35pm

The analysis and classification of ordinal categorical data are central in most scientific domains and ubiquitous in governments and businesses.

Examples of ordinal data are either found in questionnaires for measuring opinions or self-reported health status. A well-known example of ordinal data is the Likert Scale [1]

(DISLIKE = 1, DISLIKE SOMEWHAT…

Continue

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