The hottest Data Visualization Substack posts right now

And their main takeaways
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Top Technology Topics

Ideologies of Awe & AI Art at the MoMA

Cybernetic Forests • 119 implied HN points • 22 Oct 23
🎨 Art & Illustration AI Art Data Visualization
  1. Refik Anadol's 'Unsupervised' art at the MoMA uses AI to visualize the MoMA's art archives in a unique way, offering a new perspective on data analytics and art
  2. Anadol's art piece juxtaposes the complexity and mystique of AI systems with the potential for human understanding and engagement, sparking discussions on the implications of AI in art and society
  3. Alternative models of AI art, like 'Anatomy of an AI System' and 'What Models Make Worlds', present critical perspectives that question the power dynamics and ethical implications of AI, contrasting with the awe-inspiring presentation of AI in Anadol's work

Data Science Weekly - Issue 501

Data Science Weekly Newsletter • 179 implied HN points • 30 Jun 23
🕹 Technology Data science Machine Learning Artificial Intelligence Data Engineering Data Visualization
  1. Data scientists are sharing tips on how to make their scientific data more accessible and useful. This helps others to understand and use the data better.
  2. There are many discussions happening about the benefits and drawbacks of large language models (LLMs) like ChatGPT. Some people believe they are amazing, while others think they aren't very helpful.
  3. Naming things in programming can be tough, but there are resources and books that can help. Learning the right naming conventions can improve coding practices.

Super Sundry, Vol. 1

Chartography • 117 implied HN points • 13 Jun 23
🎨 Art & Illustration Data Visualization Cartography Information Design Visual Arts Graphic design
  1. Mathematician discovered a shape that can be tiled without repeating pattern, shown in a data map.
  2. Retired professor highlighted alarming anomalies in ocean temperature and sea ice extent through powerful graphics.
  3. Exploring robotic arts and geometric designs from the 1950s, showcasing artistic QR codes and industrial perfection.
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Discussing the present and future of visualization with Jon Schwabish

Alberto Cairo's The Art of Insight • 39 implied HN points • 15 Mar 24
🪑 Design Data Visualization Graphic design Information Design User Experience
  1. Visualization is changing fast, and it's important to keep up with new ideas and methods. This evolution makes it exciting to learn and grow in the field.
  2. There isn't a main online place where designers can share their work and chat about it yet. Having a common space could help everyone connect and improve together.
  3. The approach to design should focus on flexibility rather than strict rules. This mindset can benefit not just design work but also how we teach others about it.

Data Science Weekly - Issue 483

Data Science Weekly Newsletter • 239 implied HN points • 23 Feb 23
🕹 Technology Data science Artificial Intelligence Machine Learning Data Visualization Programming
  1. The 2023 MAD landscape provides insights into machine learning and data trends. It has sections on the current market, infrastructure, and AI trends.
  2. A new tool called PyGWalker turns Pandas dataframes into easy-to-explore visual interfaces. It's great for beginners wanting to visualize their data without technical hassle.
  3. Cleaning data is essential for reliable research findings. New methods are being shared to improve and standardize the data cleaning process, making it more efficient.

Product Digest: Latch Plots, Protein Engineering and GPU-enabled Bioinformatics

LatchBio • 12 implied HN points • 13 Nov 24
🕹 Technology Bioinformatics Machine Learning Data Visualization Software Development Protein engineering
  1. Latch Bio offers a new Protein Engineering Toolkit with over 16 tools that help create and analyze proteins. This means scientists can now design better drugs and enzymes more easily.
  2. The new software called Latch Plots makes it easier for scientists to visualize biological data. It allows them to create dynamic graphs and analyze data from various sources without much hassle.
  3. Using GPU technology in bioinformatics speeds up data processing significantly. This upgrade allows researchers to analyze large datasets quickly, which is essential for drug discovery and many research projects.

Dashing Data Viz - Issue 234

Dashing Data Viz • 98 implied HN points • 19 Apr 23
🕹 Technology Data Visualization Biomedical Research
  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.

RhetVis #1: Introduction to Rhetorical Data Visualization

Aika’s Newsletter • 98 implied HN points • 04 Oct 23
🚌 Education Data Visualization Rhetoric Statistics Ethics Psychology
  1. Rhetorical Data Visualization involves framing that influences interpretations of data visualizations.
  2. Visualizations are inherently biased and reflect the creator's inclinations.
  3. The course on Rhetorical Data Visualization aims to develop skills in analyzing and creating visualizations with integrity and humility.

Dashing Data Viz - Issue 232

Dashing Data Viz • 98 implied HN points • 04 Apr 23
🕹 Technology Data Visualization Analytics
  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.

Simple Chart Annotations With GPT-4: Adding Context To Your Data Storytelling

Data at Depth • 39 implied HN points • 01 Mar 24
🕹 Technology AI Data storytelling Code Data Visualization
  1. Annotations add clear contextual information to data visuals, enhancing understanding.
  2. Adding annotations to data visualization with Python Plotly can be challenging due to nit-picky code requirements.
  3. Consider becoming a free or paid subscriber of Data at Depth to receive new posts and support the author's work.

Three Simple Multi-functioning Visuals That Will Make Your Data Dance

Data at Depth • 19 implied HN points • 07 May 24
🔬 Science Data Visualization Interpretation
  1. Graphical elements can serve multiple purposes efficiently in data visualization, like stem-and-leaf plots, dot plots, and heat maps.
  2. Stem-and-leaf plots are useful for displaying data distribution and patterns by dividing each value into stems and leaves.
  3. Dot plots represent values as dots, offering an intuitive way to visualize data distribution and trends, including subgrouping by color in the same plot.

Data Science Weekly - Issue 482

Data Science Weekly Newsletter • 199 implied HN points • 16 Feb 23
🕹 Technology Data science AI Tools Machine Learning Data Visualization Deep Learning
  1. Visual analytics can help make deep learning models easier to understand. Researchers are working to fill gaps and challenges in this area.
  2. AI tools like ChatGPT might change how we visualize data in the future. They could make it easier to find and interpret information quickly.
  3. A new method called Lion offers a better optimization algorithm for training deep neural networks. It uses less memory than existing methods like Adam.

($) Tracking Global AI Talent Flow

Interconnected • 77 implied HN points • 08 Mar 24
🕹 Technology AI Analysis Data Visualization
  1. China is producing a significant amount of AI talent at the undergraduate level, with many choosing to stay in the country for graduate studies and work.
  2. Tracking AI talent flow through conferences like NeurIPS provides valuable insights into global trends and migration patterns.
  3. Understanding the definition and limitations of how AI talent is measured is crucial when interpreting and drawing conclusions from talent tracking analyses.

Avoiding the demise of intention

Alberto Cairo's The Art of Insight • 1 HN point • 09 Sep 24
🕹 Technology Artificial Intelligence Data Visualization Ethics Philosophy
  1. Generative A.I. can create content, but it often lacks the personal touch and intention that human creators bring. It's important for creators to maintain a hands-on approach in their work.
  2. Using software and A.I. tools should enhance creativity, not replace the unique input of individuals. Always customize and refine automated outputs to keep them personal.
  3. A.I. may lower our expectations for creativity and meaningful content, which can be dehumanizing. It's essential to consider how we want to engage with technology in our creative processes.

Data at Depth 12: Surging Substack, Creative Reflections, Streamlit GIS Tutorial

Data at Depth • 19 implied HN points • 02 May 24
🕹 Technology Data Analytics Content creation Programming Data Visualization Machine Learning
  1. Documenting analytics platform performance can reveal growth trends and areas needing more attention, like focusing on Substack engagement.
  2. Balancing intrinsic and extrinsic motivation in creativity can impact the quality and longevity of content creation, pushing creators towards enduring satisfaction.
  3. Utilizing AI like GPT-4 for filtering and mapping GIS data in Python with tools like Streamlit can streamline complex data visualization tasks, enhancing efficiency and interactivity.

Monitoring Windows pods with Prometheus and Grafana

VTEX’s Tech Blog • 39 implied HN points • 09 Feb 24
🕹 Technology Software Infrastructure Cloud Computing Monitoring Data Visualization
  1. Using Amazon EKS for Windows workloads is becoming popular as it simplifies the management of existing Windows applications without needing to completely refactor them.
  2. Prometheus and Grafana are essential tools for monitoring performance and metrics of Windows pods, helping teams visualize important data from their workloads.
  3. To set up monitoring, install the Windows Exporter daemonset and Kube-State-Metrics on your Amazon EKS cluster, enabling detailed insights into both Windows pods and nodes.

The adventures of painting a data visualization

Big Charts • 79 implied HN points • 01 Oct 23
🎨 Art & Illustration Data Visualization Painting Canvas Artwork
  1. Planning to hand-paint a data visualization can lead to innovative and soulful results, without being limited by digital tools.
  2. Utilizing a mix of hand-drawn sketches and digital tools like D3 can enhance the visual appeal and storytelling of a data visualization project.
  3. The process of painting a data visualization on a large canvas can be time-consuming and challenging, but can evoke strong emotional connections and memories.

Dashing Data Viz - Issue 230

Dashing Data Viz • 78 implied HN points • 21 Mar 23
🕹 Technology Data Visualization
  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.

Prompt Engineering with GPT-4: Charting and Mapping European Tourism Trends

Data at Depth • 19 implied HN points • 11 Apr 24
🕹 Technology Data Analysis Data Visualization Artificial Intelligence Programming Web Development
  1. Efficiency is highly sought after state of being for coders and data analysts. GPT-4's Code Interpreter functionality significantly streamlines the process of transforming CSV data into data visualizations.
  2. GPT-4 can generate Python code for various types of data visualizations like line charts, bar charts, and area charts. Simply prompting GPT-4 with specific information can quickly produce comprehensive visualizations.
  3. GPT-4 can be utilized to filter datasets, analyze trends, and create innovative visual representations like choropleth maps. Incorporating GPT-4 into data analysis workflows can lead to faster and efficient results.

Using The GPT-4 Custom Instructions Tool To Optimize Python Data Visual Code Creation

Data at Depth • 39 implied HN points • 12 Jan 24
🕹 Technology Artificial Intelligence Data Visualization Python
  1. The author, a computer science professor, has incorporated GPT-4 into data visualization creation workflow over the past 8 months.
  2. Significant improvements have been noticed in how GPT-4 manages data visualization requests.
  3. Data at Depth is a reader-supported publication that offers options for subscription to receive new posts and support the author's work.

Four Essential Skills to Improve Your Python Data Visualization Workflow

Data at Depth • 19 implied HN points • 06 Apr 24
🕹 Technology Data Visualization Python AI Programming Coding
  1. Understanding Python data visualization libraries like Matplotlib, Seaborn, and Plotly can help you create different types of visualizations.
  2. Learning data cleaning and preprocessing techniques with Pandas is crucial to ensure accurate and meaningful visualizations.
  3. Mastering Modular Prompting with tools like ChatGPT can speed up coding tasks by generating code snippets based on specific instructions.

Modular Prompting GPT-4 For Interactive Multi-visual Python Dashboards: A Detailed Guide

Data at Depth • 39 implied HN points • 04 Jan 24
🕹 Technology Data Visualization Python Artificial Intelligence
  1. The article discusses using GPT-4 to generate Python Plotly code for interactive data visuals in Python dashboards.
  2. The author shares their experience of how GPT-4 has significantly improved over 8 months in creating Python Plotly dashboard code.
  3. There's an opportunity to access the full post archives with a 7-day free trial subscription to 'Data at Depth.'

Interactive Maps and Plots With GPT-4 & Plotly Dash: A Story about UN Population Projections

Data at Depth • 39 implied HN points • 31 Dec 23
🕹 Technology Data Visualization AI Python Interactive
  1. Interactive maps and plots can now be created using GPT-4 and Plotly Dash, enhancing data visualization capabilities in Python.
  2. GPT-4's capacity to generate interactive Python Plotly dashboards has significantly improved in recent months, showcasing advancements in AI technology.
  3. Computer science professors have utilized GPT-4 to explore its Python data visualization code creation abilities, pushing the boundaries of AI in this field.