#data mapping

16personalities.com, a Big 5 test platform that uses MBTI terminology, has shared their collected data. For reference as a U.S. citizen, significant results from the United States of America are featured. Up to date as of 12/3/17.

(I will also offer my own interpretations and commentary, which are distinguished by italicized font and strikethrough.)

The Most Prevalent Personality Traits in the USA:

Introverted // Sensing // Feeling // Judging

Compared to the global population, the USA is composed of more:

Introverts // Intuitives // Thinkers // Percievers

The Assertive/Turbulent trait has been disregarded since it does not identify Cognitive Functions. However, it may have correlations to ego-based theories.

Feelers are more likely to be women due to biologic and environmental factors. Feelers may be underrepresented in countries in which women’s language and technology literacy or Internet use and education are restricted. This may affect how comparable the data is between countries.

Note: these traits are based on the descriptions of Myers-Briggs, rather than the theory currently more prevalent among Jungian experts (& Tumblr) of Cognitive Functions. They are problematic for use beyond superficial interpretation.

Keep reading to view temperament and type data.

The Privacy Management Platform Market is fundamentally changing how IT and data teams manage their massive, sprawling data estates. One of the greatest challenges for modern enterprises is simply knowing where sensitive information lives, who has access to it, and how it is being processed across disparate cloud and legacy systems. Advanced discovery and mapping tools within these platforms automatically scan and classify data, providing the visibility necessary to enforce privacy policies effectively. Without this automated layer of oversight, businesses remain blind to potential risks and are constantly susceptible to data leaks or non-compliance incidents. By deploying these solutions, organizations can finally gain control over their data lifecycle, ensuring that data is protected from the moment it is collected to the moment it is purged.

⚠️ This blog post was created with the help of AI tools. Yes, I used a bit of magic from language models to organize my thoughts and automate the boring parts, but the geeky fun and the 🤖 in C# are 100% mine. Hi! So, I’ve been away from any scenario that involves and needs data mapping, until I get to OpenClawNet. So I got to the point that I need to map my entities to DTOs? I read this a lot…

Data migration is like moving to a new house—if you mislabel your boxes, chaos ensues. Similarly, data mapping errors during migration can lead to misplaced information, broken workflows, and costly delays, particularly if mistakes are noticed late in the program. Ensuring data integrity requires a proactive approach to identifying and resolving these errors. Let’s explore how to tackle this…