Butler Scientifics

Sex360 Study

v. 02/09/2020

When it comes to dealing with a large number of variables and relationships, automating data exploration is not a luxury but a necessity

What's This Work About?

What's this work about?

Our objective

Dr. García-Cruz leads Sex360, a multi-factorial study which focuses on better understanding the human sexuality and how it is impacted by our education, our social and familiar background and our personality.

What Problem Did We Face?

What problem did we face?

We carried out an online survey with more than 170 respondents and 77 questions of more than 20 different topics including demographics, sexual education, abuse, and satisfaction and psychological profiling among others.

In order to characterize better our sample population based on all these factors, thousands of statistical calculations had to be properly selected and performed which would be impossible to afford following a classical methodology.

Which Was The Contribution Of AutoDiscovery ?

Which Was The Contribution Of AutoDiscovery ?

AutoDiscovery took less than 30 seconds to perform 3.000 numerical correlations, discriminant and contingency tests to exhaustively explore the dataset. It helped me to rapidly identify the key potential factors characterizing the respondents by gender, age, sexual abuses, psychological profile and emotional condition among other criteria.

Which Was The Contribution Of AutoDiscovery ?
Identify the key potential factors characterizing the respondents by gender, age, sexual abuses, psychological profile and emotional condition among other criteria
Which Was The AutoDiscovery Contribution?

Main AutoDiscovery Features

The main features of AutoDiscovery applied to this work were

  • 1 The automatic selection of the proper statistical test to assess the potential relationships depending on the nature and distribution of the values of each factor.
  • 2 The Hypo Booster tool to focus on the most relevant factors potentially involved in each characterization criteria.
  • 3 The automatic results sorting which greatly helped me to focus in the “strongest relationships”, always from an exploratory point of view.
Butler Scientifics

Hi! We hope you liked this study and how AutoDiscovery, our Automated EDA software, helped the researchers of this project unveil hidden relationships in their data.

Please, feel free to contact with us using the link below.

  • Ray Gutiérrez

    Ray Gutiérrez

    CEO

  • Raúl López

    Raúl López

    Data Scientist

  • Juan Martín

    Juan Martín

    Data Scientist

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