Background

Kaggle is a popular platform for data science enthusiasts to participate in machine learning competitions, collaborate on projects, and share insights. As part of our research, we analyzed the demographic data of Kaggle users from 2020 to gain insights into their age, gender, and education level.

Problem

The lack of diversity in the tech industry has been a longstanding issue. By analyzing the demographics of Kaggle users, we aimed to identify any patterns or trends that could shed light on the representation of different groups in the field of data science.

Solution

We used Python and Plotly library to analyze the demographic data of Kaggle users from 2020. We created graphs to visualize the ratio between age, sex, and education level. Our analysis revealed that nearly 40% of users were within 22-29 years of age, nearly 80% were male and 75% were college educated.

Impact

Our analysis provided valuable insights into the demographics of Kaggle users.
The findings can be used by organizations to better understand the representation of different groups in the field of data science.
The results can also inform efforts to increase diversity and inclusion in tech-related fields.
The use of Python and Plotly library for data visualization can serve as an example for future research projects.
Further research can build upon our findings to explore other aspects related to diversity in tech fields.

Diversity in Data Science: Insights from Kaggle