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

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

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

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.

Data at Depth Newsletter 4 - Consistency in Creating & GPT-4's Custom Instructions Tool

39 implied HN points • 11 Jan 24
🕹 Technology Data Analysis Coding AI
  1. Consistency is crucial for success, according to top creators. It's important to maintain consistency even during challenging times.
  2. Data at Depth newsletter is reader-supported. Consider subscribing to receive new posts and support the author's work.
  3. Get a 7-day free trial to access the full post archives of Data at Depth by subscribing.
Get a weekly roundup of the best Substack posts, by hacker news affinity:

Four Essential Skills to Improve Your Python Data Visualization Workflow

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

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

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.

GPT-4’s Placeholder Problem: A Case Study of GPT-4 Fake Data Presented as Fact

39 implied HN points • 26 Dec 23
🕹 Technology AI Data
  1. GPT-4 can find and present information in various formats based on how you ask it to, whether as a paragraph, a chart, or even a poem.
  2. The issue highlighted is GPT-4 presenting data as facts, raising concerns about the accuracy and authenticity of information generated by AI models.
  3. The post emphasizes the importance of being vigilant and critical when consuming information generated by AI like GPT-4.

Pragmatic Prompting With Python Plotly and GPT-4: Telling A Story With UN Literacy Data

19 implied HN points • 29 Jan 24
🕹 Technology Data Visualization Artificial Intelligence Programming
  1. The post discusses using GPT-4 to streamline the creation of Python Plotly code for interactive data visualization.
  2. The author mentions being a computer science professor who also engages in using GPT-4 for data visualization code creation.
  3. GPT-4 has shown significant improvement in its ability to generate Python Plotly code for visualizing data interactively.

High Impact Python Streamlit: Beautiful Interactive Maps and Charts

5 HN points • 15 May 24
🕹 Technology Data Visualization Python Web Development
  1. Creating an interactive Streamlit dashboard can be done step by step with a modular approach, allowing users to select a year, view a global choropleth map, and see a horizontal bar chart of top 10 countries.
  2. By using Python libraries like Streamlit, Pandas, and Plotly Express, you can efficiently build interactive data visualizations for a dashboard project.
  3. Data preprocessing steps, such as filtering, cleaning, and extracting necessary information, are essential before visualizing data on the dashboard using tools like Plotly Express for map and chart creation.

Newsletter #1 - Welcome to Data at Depth!

19 implied HN points • 01 Dec 23
🕹 Technology Data science Computer Science Artificial Intelligence Machine Learning Newsletter
  1. The newsletter 'Data at Depth' aims to explore topics in computer science and data analytics, sharing insights from a professor with 20+ years of experience in the field.
  2. The constant growth and exploration in the world of AI-generated data leaves many individuals curious and on a learning journey.
  3. Readers can subscribe to Data at Depth for a 7-day free trial to access full post archives and continue learning about data and computer science topics.

GPT-4 for No-code Data Visualization Reports: CSV to PDF in No Time Flat

19 implied HN points • 23 Nov 23
🕹 Technology AI Data Visualization GPT-4
  1. GPT-4 can create comprehensive PDF data visualization reports from CSV files on-the-fly, directly in its interface.
  2. Recent updates in the GPT-4 interface have introduced this new capability to generate PDF files quickly and efficiently.
  3. Readers can get a 7-day free trial to access more content and explore the full archive of posts on Data at Depth.

CSV to PDF: Prompting GPT-4 For Automatic Data Viz Report Creation

19 implied HN points • 20 Nov 23
🕹 Technology AI Automation
  1. GPT-4 can now create PDF reports with charts and maps from data you provide, offering a quick and efficient way to visualize data.
  2. The interface of GPT-4 has recently been updated, showcasing new capabilities like generating PDF files on the fly.
  3. Consider subscribing to Data at Depth for more insights and a 7-day free trial to explore the full post archives.

Beautiful AI-Art: Prompting Dall-E 2 To Create Feature Tech Story Images

19 implied HN points • 16 Nov 23
🎨 Art & Illustration AI Tech Images
  1. Dall-E 2 can be used to create stunning images for tech articles by providing simple prompts and a good 'feel' for the stories.
  2. The author has been using Dall-E 2 since it became available and highlights the beauty of the images created with this AI tool.
  3. Readers can access a 7-day free trial to continue reading posts and explore the full post archives for more insights on AI-generated art.

Interactive Mapping Tutorial With Python: Visualizing US Education Trends

19 implied HN points • 08 Jun 23
🕹 Technology Data Analysis Data Visualization Python
  1. Data visualization skills are crucial for modern data analysis, and mapping skills are a valuable addition to visualization abilities.
  2. Python libraries like Folium, Plotly, and Dash can be used for effective display of data.
  3. Interactive mapping tutorials using Python can help in visualizing US education trends with tools like Folium, Plotly, and Dash.

Prompt Engineering For Rapid Data Visualization with GPT-4 and Python

19 implied HN points • 11 Jun 23
🕹 Technology Data Visualization Artificial Intelligence Coding
  1. Using GPT-4 for prompt engineering simplifies Python coding for complex data visualizations by providing concise instructions and reducing troubleshooting time.
  2. GPT-4 allows focusing on implementing solutions rather than dealing with lower-level coding details.
  3. Integration of GPT-4 with Python streamlines the process of creating interactive data visualizations, making it faster and more efficient.

Rapid Mapping With GPT-4 Python Code Interpreter: A Beginner’s Guide

0 implied HN points • 01 Aug 23
🕹 Technology AI Programming Data Analysis
  1. Transforming raw data into stories can be challenging, but tools like GPT-4 can offer quick and efficient assistance in this process.
  2. Data analysis benefits greatly from tools that can help interpret and present information in a meaningful way.
  3. Consider exploring and utilizing tools like GPT-4 to streamline the process of creating demographic maps and turning numbers into narratives.

GPT-4 Code Interpreter: Your Magic Wand for Instant Python Data Visuals

0 implied HN points • 24 Jul 23
🕹 Technology Data science Python Data Visualization
  1. GPT-4 Code Interpreter generates data visualization code instantly, allowing users to upload a data file, clean it, load it into a data frame, and display the results.
  2. Users can try GPT-4 Code Interpreter with a 7-day free trial by subscribing to Data at Depth.
  3. John Loewen's post explores a case study example using UN population projection data, showcasing the features and capabilities of the GPT-4 Code Interpreter.

Python Plotly Data Visuals: Dropdowns and Range Sliders For User Interaction

0 implied HN points • 23 Jul 23
🕹 Technology Data Visualization Python User Interaction
  1. Interactive data visualization can greatly improve data analysis and understanding of complex datasets.
  2. The Plotly library in Python provides tools like Range Sliders and Dropdown Menus for creating interactive graphs.
  3. Using features like Range Sliders and Dropdown Menus in Plotly can enhance the user experience and make graphs more engaging.

My Writing is So Bad That Today I Was Banned By Medium

0 implied HN points • 11 Jul 23
  1. The author humorously discusses getting banned from Medium due to 'bad' writing.
  2. The post teases the idea that there may be other reasons behind the banishment beyond just bad writing.
  3. There's a call to action to subscribe for a 7-day free trial to access more content from the author.

Modular Prompt Engineering GPT-4 For Interactive Python Web Apps

0 implied HN points • 04 Jul 23
🕹 Technology AI Data Visualization Python Web applications
  1. ChatGPT is revolutionizing complex data visualizations with Python libraries, making it easier to create interactive web applications.
  2. Generative AI requires a methodical approach to implementation for successful outcomes.
  3. Readers can enjoy a 7-day free trial to access the full post archives of Data at Depth for more insightful content.