Awesome Data Science Tools to Master in 2023: Data Profiling Edition

<p><em>This is a column series focusing on open-source tools for data science: each article focuses on a specific topic and introduces the reader to a set of different tools, showcasing their features with a real-world dataset.&nbsp;</em><strong><em>This piece focuses on data profiling</em></strong><em>&nbsp;</em><strong><em>and reviews</em></strong><em>&nbsp;</em><code><em>ydata-profiling</em></code><em>,&nbsp;</em><code><em>dataprep</em></code><em>,&nbsp;</em><code><em>sweetviz</em></code><em>,&nbsp;</em><code><em>autoviz</em></code><em>, and&nbsp;</em><code><em>lux</em></code><em>.&nbsp;</em><strong><em>Readers are encouraged to follow along the tutorial:</em></strong><em>&nbsp;I&rsquo;ll be referring to all projects on their individual GitHub repositories, but a curated list of tools, as well as the Google Colab notebooks used throughout this article are&nbsp;</em><strong><em>available in my&nbsp;</em></strong><a href="https://github.com/Data-Centric-AI-Community/awesome-data-centric-ai" rel="noopener ugc nofollow" target="_blank"><strong><em>awesome-data-centric-ai</em></strong></a><strong><em>&nbsp;repository.</em></strong></p> <p>In&nbsp;<strong><em>a world of Data Imperfection, a carefully-designed tool for data understanding is the philosopher&rsquo;s stone.</em></strong></p> <p><a href="https://medium.com/towards-data-science/awesome-data-science-tools-to-master-in-2023-data-profiling-edition-29d29310f779"><strong>Read More</strong></a></p>
Tags: Awesome