The hottest Visualization Substack posts right now

And their main takeaways
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Data at Depth 79 implied HN points 05 May 24
  1. Start with defining the function you want the audience to perform with the presented data before creating visualizations that support it
  2. Implement aspects like affordances, accessibility, and aesthetics to ensure your visualizations are clear, usable, and visually appealing for the audience
  3. Achieving acceptance of your data visualization involves following established design principles like direct labeling, thoughtful use of color, alignment, and the data-ink principle
Data at Depth 79 implied HN points 08 Apr 24
  1. Create impactful data stories by hitting your audience's senses first, then backing it up with solid data and an interesting narrative
  2. Understand Kahneman's System 1 (intuitive) and System 2 (thoughtful) thinking to effectively engage your audience by appealing to both ways of thinking
  3. Utilize color effectively in data visualization to enhance communication, emphasize key points, and leverage pre-attentive attributes to grab and direct viewer attention
The Python Coding Stack • by Stephen Gruppetta 117 implied HN points 10 Feb 24
  1. You can use Matplotlib to create animations, like a mosaic of previous article cover images, by following a step-by-step tutorial.
  2. Before starting the animation, ensure you have images ready and the necessary libraries installed like Matplotlib, NumPy, and Pillow.
  3. You can control how images are plotted, resize images in the animation frames, and save the animation as a movie file like an mp4 or an animated GIF using libraries like Matplotlib or PillowWriter.
Mindful Modeler 479 implied HN points 20 Sep 22
  1. Correlation between features can significantly impact the interpretability of machine learning models, both technically and philosophically.
  2. Identifying and addressing correlation issues is crucial for accurate model interpretation. Techniques include grouping correlated features, decorrelation methods like PCA, feature selection, causal modeling, and conditional interpretation.
  3. Entanglement of interpretation due to correlation makes it challenging to isolate the impact of individual features in machine learning models.
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Mike Talks AI 157 implied HN points 09 May 23
  1. Walmart's innovative approach to network design involved building a second model for transition planning.
  2. Linking strategic design to load planning and using simulation for execution is crucial in network design.
  3. Visualization is important in gaining approval and support for large-scale network design projects.
PeopleStorming 59 implied HN points 26 Oct 23
  1. User stories are concise descriptions of value from the perspective of the person who desires that value, helping to keep focus on end user needs and goals.
  2. Leveraging user stories can lead to improved communication and collaboration within teams, customer-centricity, and easier prioritization of workloads.
  3. An effective user story typically consists of three parts: the role, the output, and the benefit, enabling teams to articulate the purpose of their work and prioritize effectively.
Premium Grind 19 implied HN points 19 Jan 24
  1. Interpreting VAS heatmaps is challenging due to lack of established guidelines and overlaps in definitions.
  2. Studies have shown that traditional civic architecture consistently draws more viewer attention than modern styles.
  3. Discrepancies exist between VAS results and actual human-subject eye-tracking studies, raising questions about accuracy and interpretation.
James W. Phillips' Newsletter 78 implied HN points 14 May 23
  1. Bret Victor envisions a future where the laboratory is a communal computational system.
  2. Personal computing history, led by figures like Alan Kay, envisioned computers as 'intellectual amplifiers'.
  3. Realtalk is a system where physical spaces are transformed into computational systems, allowing collaborative work without screens.
The Software & Data Spectrum 39 implied HN points 06 Apr 23
  1. Boxplots are common for visualizing data like stock pricing, and you can customize them with colors and flips.
  2. Variable plotting can include heat maps to show occurrences, and you can adjust the appearance with features like scale_fill_gradient().
  3. Coordinate your graphs using functions like coord_cartesian() and facet them based on specific variables for more detailed insights.
Cybernetic Forests 39 implied HN points 19 Feb 23
  1. Eryk Salvaggio will be a guest on BBC 4's _Digital Humans_ radio show discussing creativity and automation in AI art
  2. Sensitive Noise is an AI-generated artwork exploring content moderation and human sensuality through censored images
  3. Apply for STORY x CODE, a residency program focusing on AI and Machine Learning in storytelling, filmmaking, and animation
Rod’s Blog 19 implied HN points 31 May 23
  1. The Render operator in KQL allows you to turn data into visualizations like area graphs, bar charts, and pie charts among others.
  2. Using KQL to create visualizations is crucial for tasks like developing dashboards in Microsoft Sentinel, providing real-time insights to security teams.
  3. Learning to transform data into graphs and charts can make information more engaging and appealing, especially for visual or hands-on learners.
Technology Made Simple 39 implied HN points 16 Aug 22
  1. Visualization helps in learning and problem-solving by making connections and identifying patterns.
  2. When visualizing complex ideas, start small by breaking down components and building up from there.
  3. Developing visualization skills requires a strong understanding of the concepts and practicing visualization techniques regularly.
Bzogramming 7 implied HN points 13 Mar 23
  1. Visual programming languages with colored boxes and lines may not necessarily make code easier to understand.
  2. Human vision focuses on categorizing small pieces of images at a time, similar to how code should be structured.
  3. Text-based programming already utilizes spatial conveyance of meaning through features like indentation, highlighting the importance of enhancing visual tools in coding.
Rod’s Blog 0 implied HN points 31 May 23
  1. Understanding the User Interface (UI) is crucial when starting with Kusto Query Language (KQL) as it provides a visual way to interact with the data.
  2. Filtering, sorting, grouping, selecting columns, and setting time ranges are important functions within the UI for manipulating and viewing data effectively.
  3. The UI also offers features like saving queries, sharing queries, formatting queries, exporting query results, creating alert rules, pinning visualizations, and utilizing keyboard shortcuts for efficient query development.
Mind Fooled 0 implied HN points 03 Dec 23
  1. You can predict and shape your own future by following a specific technique.
  2. The technique involves writing a detailed description of a day in your life 5 to 15 years in the future, focusing on details and success.
  3. Clarity and intention setting are powerful tools in creating a future you desire, whether personally or in product development.
Data at Depth 0 implied HN points 29 May 23
  1. Being proficient in Python, data analysis, and storytelling can give you a competitive edge in today's data-driven world.
  2. Having guidance from experienced professionals can help you identify the most impactful resources for mastering Python data analysis and visualization.
  3. Consider exploring the recommended essential books and leveraging a 7-day free trial to delve deeper into the topic.