# Data Science: Nature and Pitfalls

arXiv: https://arxiv.org/abs/2006.16964 · HTML: https://mlsanity.com/paper/2006.16964/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 28 Jun 2020.

## Built on by (most cited first, 1 of 1)

- [Table2Vec: Automated Universal Representation Learning to Encode All-round Data DNA for Benchmarkable and Explainable Enterprise Data Science](https://mlsanity.com/paper/2112.01830/) (2021)

## Abstract (arXiv)

Data science is creating very exciting trends as well as significant controversy. A critical matter for the healthy development of data science in its early stages is to deeply understand the nature of data and data science, and to discuss the various pitfalls. These important issues motivate the discussions in this article.