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
0 implied HN points 14 Apr 23
  1. A tool like ChatGPT can help visualize data by finding datasets, conducting analysis, and generating code for visualization.
  2. Python is essential as middleware to help ChatGPT in visualizing data effectively.
  3. Utilize a 7-day free trial of Data at Depth to access full post archives and learn more about boosting productivity with data visualizations in Python.
Get a weekly roundup of the best Substack posts, by hacker news affinity:
0 implied HN points 03 May 23
  1. Using ChatGPT and Python with Streamlit can help beginners create data visualization applications easily.
  2. Even without experience, individuals can leverage ChatGPT to generate Python code for creating maps and charts.
  3. Consider trying the 7-day free trial to access more content on boosting data visualization productivity with ChatGPT, Python, and Streamlit.
0 implied HN points 02 May 23
  1. In the era of big data, it's crucial to present complex information clearly and engagingly.
  2. Choosing the right data visualization techniques is key to telling a compelling story that captivates your audience.
  3. Consider using stacked area charts to visualize data, such as the top-5 CO2 emitting countries globally, to create impactful visual narratives.
0 implied HN points 13 Nov 23
  1. GPT-4 has revolutionized the way Computer Science professors deliver and evaluate quality curriculum.
  2. There is a need for a re-design in Computer Science curriculum and evaluation based on advancements like GPT-4.
  3. The integration of advanced technologies like GPT-4 can significantly impact the educational landscape, requiring adaptations in teaching methods.
0 implied HN points 18 Oct 23
  1. Even after 6 months and over 125 articles on Medium, receiving a boost for a technical/AI article led to a significant earnings increase of $456 in just a week.
  2. It's highlighted that AI/Tech articles can still generate good income on platforms like Medium, making them a worthwhile focus for writers.
  3. A change in mindset towards the type of content to produce can have a direct impact on financial success in the tech writing field.