The hottest Data storytelling Substack posts right now

And their main takeaways
Category
Top Art & Illustration Topics
Data at Depth 79 implied HN points 03 May 24
  1. Python Streamlit is great for creating interactive maps from GIS point data, allowing for more engaging data storytelling.
  2. Interactive maps offer a better way to present data compared to static maps, enabling users to interact and explore the information further.
  3. Streamlit is a useful tool for creating interactive maps with user input functionalities, making it ideal for data visualization projects.
Data at Depth 79 implied HN points 25 Apr 24
  1. Data storytelling is crucial for extracting meaningful narratives from vast amounts of data.
  2. Books like 'Storytelling with Data' and 'The Truthful Art' offer practical guidance on improving data visualization skills and conveying complex data clearly.
  3. Mastering data storytelling involves understanding the impact of storytelling principles like setting, conflict, and resolution within a data context.
Data at Depth 79 implied HN points 15 Apr 24
  1. Data storytelling brings calmness and clarity to complex datasets by revealing the story behind the numbers.
  2. To engage interest and drive change, data needs to be transformed into a narrative that resonates with the audience.
  3. The three core components of data storytelling are: finding/creating a good data set, visualizing data to identify trends, and providing a narrative based on these trends.
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
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Chartography 216 implied HN points 03 May 23
  1. Ascent diagrams tracked hot air balloon voyages by plotting altitude and travel-over-land, showcasing a daring spirit of exploration.
  2. Tissandier's diagrams of high-altitude balloon flights highlight the observation of various phenomena, infusing data with art and adventure.
  3. The ascent diagrams of the 1860s and 1870s not only captured balloon journeys but also exemplified the audacious spirit of exploration and innovation.
Chartography 137 implied HN points 14 Nov 23
  1. First takeaway: Announcement of a Black Friday event exclusively for subscribers with big discounts on books and prints.
  2. Second takeaway: Showcasing vintage advertisement data graphics from the 1930s found in TIME magazine vault, featuring various creative statistical charts.
  3. Third takeaway: Exploring a variety of unique and artistic information graphics used in historical ads, demonstrating different chart styles and storytelling techniques.
Data at Depth 39 implied HN points 01 Mar 24
  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.
Chartography 58 implied HN points 25 Aug 23
  1. Benjamin Benus's new book about Herbert Bayer's iconic work redefines past and future data graphics.
  2. Herbert Bayer was a Bauhaus designer whose talents were appreciated in advertising, art, and architecture in America.
  3. There is a growing collection of beautiful books about visionary information designers, such as W. E. B. Du Bois, Charles-Joseph Minard, and others.