Dashing Data Viz

Dashing Data Viz is a weekly newsletter focused on the domain of Data Visualization. It curates news, articles, and job listings, alongside providing insights into tools, techniques, and courses. The content ranges from introductory to advanced topics, including practical applications, discussions on tools like D3.js, and profiles of professionals in the field.

Data Visualization Theory Educational Resources and Courses Data Visualization Tools and Software Interactive and Dynamic Visualizations Professional Development and Freelance Opportunities Accessibility in Data Visualization Industry News and Trends Graphical and Visual Design in Science Communication

The hottest Substack posts of Dashing Data Viz

And their main takeaways
216 implied HN points 01 Mar 23
  1. Dashing Data Viz provides curated news, articles, and jobs related to Data Visualization.
  2. The newsletter features a variety of data visualization articles, courses, and tools for professionals and enthusiasts.
  3. Readers can engage with the content, share their thoughts, and learn about the latest trends in data visualization.
176 implied HN points 14 Mar 23
  1. The newsletter shares articles and videos on data visualization, like creating gradient line charts in R and using Tableau for interactive dashboards.
  2. There are resources available for learning new skills in data visualization, such as an online course on Intro to R for Data Viz.
  3. The newsletter also highlights interesting projects like visualizing the first 5,000 digits of Pi and provides resources for further reading on topics like data hierarchy best practices.
117 implied HN points 11 Apr 23
  1. Dive into various topics in data visualization such as interactive data visualization and mapping rivers
  2. Explore unique projects like creating pretty maps from OpenStreetMap data and generating stylized visualizations
  3. Discover resources for improving dashboard designs and achieving realistic color mixing in web projects
Get a weekly roundup of the best Substack posts, by hacker news affinity:
98 implied HN points 21 Feb 23
  1. The newsletter shares curated news, articles, and jobs about Data Visualization.
  2. Various tools and resources for enhancing data visualization are highlighted in the newsletter.
  3. The newsletter also features discussions on the impact of AI tools and technologies on data visualization work.
98 implied HN points 19 Apr 23
  1. Consider ways to find freelance data visualization work through various platforms or lead-generation services.
  2. Explore different data visualization tools and seek resources to understand them better.
  3. Learn how to enhance your data visualization skills by creating appealing and interactive visualizations using tools like Vega-Lite and ggplot2.
98 implied HN points 26 Apr 23
  1. Notable tool offers on-the-fly assistance for data storytelling in computational notebooks.
  2. Chart Reader prototype enables screen reader users to navigate and consume accessible data visualizations.
  3. DataPilot presents visual cues for subset selection during visual data preparation.
98 implied HN points 04 Apr 23
  1. The newsletter shares curated news, articles, and jobs related to Data Visualization.
  2. There are interesting links shared, such as Twitter threads, articles on data visualization tools, and event announcements.
  3. Readers can engage by clicking on the links provided and subscribing to receive future newsletters.
78 implied HN points 21 Mar 23
  1. The newsletter covers curated news, articles, and jobs related to Data Visualization.
  2. There are interesting articles on topics like 3D maps, graph data visualization with Neo4j Bloom, and visualizing Wordle solutions.
  3. The newsletter shares job opportunities for software engineers passionate about data viz and also includes a video tutorial on making Eurostat maps with R.
0 implied HN points 10 Feb 23
  1. A new data visualization project is coming soon.
  2. The project is called Dashing Data Viz.
  3. Sebastian Gutierrez is involved in the project.