Data at Depth

Data at Depth is a Substack publication dedicated to exploring data analysis and visualization using Python and AI technologies like GPT-4. It covers practical guides, explorations of data storytelling, the interplay between technology and mental health, and real-world applications of data visualization tools for creating impactful stories and insights.

Data Analysis Data Visualization Artificial Intelligence Python Programming Technology Addiction Data Storytelling GPT-4 Applications Interactive Dashboards Best Practices in Visualization Data Science Education

The hottest Substack posts of Data at Depth

And their main takeaways

Better Data Science: How To Design Visualizations that Work

79 implied HN points • 05 May 24
🕹 Technology Data science Visualization Accessibility Aesthetics Design principles
  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

Simple Interactive Python Streamlit Maps That Will Make You Shout

79 implied HN points • 03 May 24
🕹 Technology Data Visualization Python Data storytelling
  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.

Python Mastery: Choosing The Right Chart To Tell Your Data Story

79 implied HN points • 26 Apr 24
🕹 Technology Data Visualization Python Libraries Charts Tutorial
  1. In data visualization, choosing the right chart is crucial to effectively communicate complex information in a clear and simple manner.
  2. Starting with techniques like small multiples, heat maps, and stacked area charts can help in learning how to select the right visualization for specific types of data.
  3. Experimenting with different visualization types and customizing them to the audience's needs can lead to impactful data storytelling.

Sensational Data Storytelling: The Best Five Books For Your Library

79 implied HN points • 25 Apr 24
🚌 Education Data storytelling
  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.
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Exploratory Data Visualization With GPT-4: Prompting for Python Folium Maps

79 implied HN points • 23 Apr 24
🕹 Technology Data Visualization Artificial Intelligence Python Machine Learning
  1. GPT-4 can create choropleth and heatmaps from datasets if you know the right questions to ask
  2. Integrating GPT-4 into data visualization workflows can be beneficial for exploration and learning new libraries such as Python folium
  3. GPT-4 can be used to enhance code generation for data visualization projects by providing responses and solutions to specific coding challenges

Python Plotly Mapping Magic: Better Results With GPT-4 Prompting

59 implied HN points • 13 May 24
🕹 Technology Data Visualization Python AI Programming
  1. GPT-4 can be useful for generating data cleaning and visualization code in Python when combined with libraries like pandas and plotly
  2. Using GPT-4, you can learn how to clean datasets, create choropleth maps, and even animated choropleth maps to visualize data over time
  3. Interactive geospatial data visualizations that tell stories over time can be quickly created with Plotly by using GPT-4 prompts

What Exactly is Data Storytelling? Here Are Some of The Basics

79 implied HN points • 15 Apr 24
🕹 Technology Data storytelling Data Visualization Narrative Data Analysis
  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.

Kahneman's System 1 and 2 Thinking for Data Storytelling: An Example

79 implied HN points • 08 Apr 24
🕹 Technology Data storytelling Visualization Color Theory
  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

Prompting GPT-4 From CSV to PDF: Automated On-the-Fly Data Viz Reports

79 implied HN points • 29 Mar 24
🕹 Technology Automation Data Visualization AI
  1. GPT-4 can now create PDF files from data on-the-fly, right in its main prompt window.
  2. The GPT-4 interface has recently undergone significant changes, integrating separate tools and plug-ins like the Advanced Data Analysis tool.
  3. You can subscribe to Data at Depth for a 7-day free trial to access full post archives, including detailed information on automating PDF reports from raw CSV data.

Data at Depth 11: Diversity, Adversity, Case Study With GPT-4 and External Validation

59 implied HN points • 18 Apr 24
🕹 Technology AI Social media Data Analysis Writing Machine Learning
  1. Documenting and analyzing your journey as a creator can help identify patterns of growth and areas for improvement, like diversification across social media platforms.
  2. Engaging in strategic thinking, research, and creation can lead to significant accomplishments, such as getting articles published and boosted, validating your skills as a writer.
  3. When using tools like GPT-4 for tasks like title generation, it's crucial to validate their output externally to ensure accuracy and effectiveness.

Data At Depth 13: Substack Love Affair, On Reading, Python Plotly Bubbles and Bars

39 implied HN points • 16 May 24
🕹 Technology Data Analysis Python Data Visualization Web Development
  1. The author shares insights on their data analysis for the past 2 weeks, highlighting significant growth on Substack, experiences on Medium and LinkedIn, and struggles with Twitter-X.
  2. The author emphasizes the importance of taking time to read and detach from the pressure of creating content, as well as the value of ownership and direct engagement through Substack newsletters.
  3. A tutorial is provided on creating interactive Python Plotly dashboards for data visualizations, specifically focusing on a bubble map and bar chart to showcase data on global undernourishment.

Python Streamlit Spotlight: An Interactive Look At UNHCR Refugee Data

39 implied HN points • 09 May 24
🕹 Technology Data Visualization Data Analysis Coding Web Development
  1. Python Streamlit is a powerful tool for creating interactive data visualizations packaged neatly into applications that can be displayed in a browser.
  2. The project highlighted step-by-step modular development to create an application with dropdown menus, radio buttons, and choropleth maps for visualizing UNHCR refugee data.
  3. The interactive Streamlit dashboard allows users to explore both where asylum seekers are going to and where asylum seekers are coming from, offering a detailed look at global refugee movements.

Combining Data Visuals: An Interactive Python Plotly Dashboard For Deeper Storytelling

79 implied HN points • 15 Feb 24
🕹 Technology Data Visualization Python Web Development
  1. Creating an interactive Python Plotly dashboard can help in deeper storytelling by combining data visuals like bubble charts and horizontal bar charts.
  2. Python's Plotly Dash framework allows developers to easily create web-based applications directly from Python code, without needing additional web development skills.
  3. By using the UN food security dataset, the tutorial demonstrates step-by-step how to load, filter, and visualize data, as well as set up dropdown menus for interactive exploration.

Data at Depth Newsletter 6: Thankful, Creating Like Crazy, GPT-4/StreamLit Dashboards

79 implied HN points • 08 Feb 24
🕹 Technology Data Creation Artificial Intelligence
  1. The author's Substack newsletter is rapidly growing, and they are very active in creating content to keep up with the growth.
  2. The newsletter includes the author's personal journey with data, highlighting successes on platforms like Medium and Substack.
  3. Readers can access the full newsletter and archives with a 7-day free trial subscription.

Comparative Analysis in Data Visualization: 3 Hands-on Examples Using Python Plotly

79 implied HN points • 28 Jan 24
🕹 Technology Data Visualization Python Comparative Analysis
  1. The value of data often lies in its comparability - Edward Tufte emphasizes this point in data visualization.
  2. Data visualization helps distill complex information into clear insights, especially with the abundance of data available today.
  3. Comparative analysis using tools like Python Plotly can enhance understanding and interpretation of data sets.

Data at Depth Newsletter 5: On a Roll, My Free Courses, GPT-4 Guardrails For Code Generation

79 implied HN points • 25 Jan 24
🕹 Technology News Courses AI
  1. The newsletter author is experiencing a successful period with their Substack site and is considering if they are at the peak of their current cycle.
  2. The author is offering free 5-day email courses and discussing GPT-4 guardrails for code generation in their newsletter.
  3. The Data at Depth newsletter is reader-supported, and there is an option for a 7-day free trial to access full post archives.

GPT-4 Image Analysis Tool: Reverse Engineering a Plotly Dashboard Screenshot

79 implied HN points • 20 Jan 24
🕹 Technology AI Python Data Visualization
  1. OpenAI's GPT-4 has a new tool that can analyze and interpret image data, including complex data visualizations.
  2. The image analysis tool from GPT-4 is capable of performing accurate analysis on intricate data representations.
  3. Consider becoming a subscriber to Data at Depth to get access to more insightful posts and to support the author's work.

Data at Depth Newsletter 3 - Progress & Interactive Data Visuals

59 implied HN points • 29 Dec 23
🕹 Technology
  1. The newsletter focuses on data visualization and trusting the process for creating interactive mapping data visuals.
  2. The author expresses gratitude for the support and growth of their Substack site.
  3. Readers can access more content and a 7-day free trial by subscribing to the Data at Depth newsletter.

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

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

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.