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Collaboration Between Osaka Seikei University and Asmarq

In a groundbreaking initiative, Asmarq Inc., based in Shibuya, Tokyo, is taking significant steps to improve education in data analysis by partnering with Osaka Seikei University. This collaboration aims to enhance the skills needed for future professionals and to elevate society's overall proficiency in data utilization. As part of this project, Asmarq will provide raw data and aggregation tables from self-conducted surveys to the university, free of charge.

Background

In educational settings focusing on data analysis, there have been increasing concerns regarding the dependence on simulated data. When students use such data for their analyses, the resulting conclusions may often be misaligned with real-world scenarios. This disparity reduces the effectiveness of the learned skills in addressing genuine societal issues. Recognizing this challenge, Asmarq aims to provide practical, real-world data to aid students in their understanding and application of data analysis.

Details of the Provided Data

Asmarq will share the raw data from its self-administered surveys as well as aggregate tables to be used in classes taught by Professor Umino from the Faculty of Business Administration at Osaka Seikei University.

Raw Data

The raw data comprises individual responses collected through the surveys. This data is logged by rows and includes key demographic details (e.g., gender, age) along with answers to various survey questions. Notably, this data set may also feature open-ended responses, adding depth to the analysis.

Aggregate Tables

The aggregate tables serve as a structured representation of the raw data, summarizing findings into meaningful insights.

• - Simple Aggregation: This table presents the number of responses or percentages for each survey question—for example, it could indicate that a certain percentage of respondents use frozen foods three times a week or more.
• - Cross-Tabulation: This advanced table combines responses based on demographics (such as age, gender, and region) and allows for comparative analysis. For instance, the frequency of frozen food usage among women in their thirties might be compared with that of men in their forties.

Through this initiative, Asmarq not only emphasizes its commitment to fostering academia-industry partnerships but also contributes to the nurturing of the next generation of talent.

Company Overview

Asmarq Inc.

• - Location: 1-32-12 Higashi, Shibuya, Tokyo, 150-0011, Japan
• - Website: Asmarq Website

Osaka Seikei University

• - Location: 3-10-62 Aikawa, Higashiyodogawa-ku, Osaka City, Osaka, 533-0007, Japan
• - Website: Osaka Seikei University Website

Through this strategic partnership, both Asmarq and Osaka Seikei University aspire to empower students and elevate the demand for skilled professionals in the data analytics field.