Data visualization Blogs

Page 1 of 4 (65 Blogs)
Marc Brandner
2/7/2026 EN

Marc Brandner

Marc Brandner is a software engineer and technical writer covering Kubernetes, Docker, Linux, and data visualization. His articles explore cloud-native tooling, container workflows, Python utilities, and practical guides for developers and DevOps engineers.

Randy Zwitch
2/1/2026 EN

Randy Zwitch

Randy Zwitch is a software engineer specializing in Python and data engineering. His blog features detailed tutorials on building and optimizing Python tools like PyArrow with GPU/CUDA support, Docker workflows, and high-performance data processing.

Ramiro Gómez
2/1/2026 EN

Ramiro Gómez

Ramiro Gómez shares practical Python and data science tutorials, focusing on pandas, data visualization, and programming insights. His blog provides hands-on guides for analyzing, visualizing, and understanding complex datasets.

Zoe Locke
1/31/2026 EN

Zoe Locke

Zoe Locke writes about the R programming ecosystem, covering package development, testing, data manipulation, and tips for R users at all levels. Her posts include practical advice, tutorials, and insights for R developers and data scientists.

 Mara Averick
1/28/2026 EN

Mara Averick

Mara Averick is a data enthusiast and R programmer who shares insights, tutorials, and tips on data analysis, visualization, and reproducible workflows. She creates and explores tools in the R ecosystem, including packages like {datapasta}, and enjoys making data more accessible and visually engaging.

Tal Galili
1/28/2026 EN

Tal Galili

Tal Galili is an R developer and data scientist passionate about the R community. He is the creator and maintainer of popular R packages such as installr and heatmaply, and frequently shares tutorials, insights, and updates about R, data visualization, and statistical computing.

Mark Litwintschik
1/28/2026 EN

Mark Litwintschik

Mark Litwintschik is a Big Data, AI, GIS, and networking consultant with international experience, helping clients across the UK, USA, Europe, and beyond. He specializes in large-scale data analysis, geospatial insights, and technology consulting for major corporations and organizations.

Jakub Nowosad
1/28/2026 EN

Jakub Nowosad

Jakub Nowosad is a computational geographer and Associate Professor at Adam Mickiewicz University, also serving as a Visiting Scientist at the University of Münster. He develops open-source tools and spatial methods for reproducible, scalable environmental and ecological analysis, and co-authors Geocomputation with R and Geocomputation with Python.