The hottest Data Visualization Substack posts right now

And their main takeaways
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Top Technology Topics

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

Data at Depth • 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 Plotly Mapping Magic: Better Results With GPT-4 Prompting

Data at Depth • 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

Python Streamlit Spotlight: An Interactive Look At UNHCR Refugee Data

Data at Depth • 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.

High Impact Python Streamlit: Beautiful Interactive Maps and Charts

Data at Depth • 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.

Simple Interactive Python Streamlit Maps That Will Make You Shout

Data at Depth • 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.
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Day 26. Visual Storytelling: INFOGRAPHICS

DrawTogether with WendyMac • 1827 implied HN points • 26 Jan 24
🎨 Art & Illustration Visual storytelling Data Visualization
  1. The regular GUT operates weekly instead of daily, offering lessons, drawing prompts, and artist visits.
  2. Hand-drawn infographics can make overwhelming information more manageable and human.
  3. Creating infographics about chosen families involves visualizing webs of support and care rather than traditional family tree structures.

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

Data at Depth • 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.

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

Data at Depth • 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.

Exploratory Data Visualization With GPT-4: Prompting for Python Folium Maps

Data at Depth • 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

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

Data at Depth • 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.

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

Data at Depth • 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.

UI Components of Microsoft Security Copilot

Rod’s Blog • 515 implied HN points • 09 Jan 24
🕹 Technology Plugins Data Visualization
  1. Home Menu allows you to navigate the Security Copilot portal effectively by providing options like Home, My sessions, Settings, and Tenant.
  2. Manage Plugins feature lets you control and access Microsoft security services through Security Copilot to perform various actions such as managing threats and incidents.
  3. Prompt Bar is where you can interact with Security Copilot by asking questions, running commands, or requesting reports using natural language inputs.

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

Data at Depth • 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.

($) Tracking Global AI Talent Flow

Interconnected • 76 implied HN points • 08 Mar 24
🕹 Technology AI Analysis Data Visualization
  1. China is producing a significant amount of AI talent at the undergraduate level, with many choosing to stay in the country for graduate studies and work.
  2. Tracking AI talent flow through conferences like NeurIPS provides valuable insights into global trends and migration patterns.
  3. Understanding the definition and limitations of how AI talent is measured is crucial when interpreting and drawing conclusions from talent tracking analyses.

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

Data at Depth • 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.

Four Essential Skills to Improve Your Python Data Visualization Workflow

Data at Depth • 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.

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

Data at Depth • 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.

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

Data at Depth • 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.

Three data visualisation tips

A Bit Gamey • 27 implied HN points • 17 Mar 24
🪑 Design Data Visualization Graphic design
  1. Maximize the data-ink ratio by minimizing non-informative ink like excessive grid lines and decorations, to enhance clarity and comprehension.
  2. Align graphic components to create stronger organization and cohesion in design, ensuring nothing is placed arbitrarily.
  3. Utilize small multiples technique to present series of similar graphics or charts in a grid format, enabling easy comparison and revealing patterns within the dataset.

Simple Chart Annotations With GPT-4: Adding Context To Your Data Storytelling

Data at Depth • 39 implied HN points • 01 Mar 24
🕹 Technology AI Data storytelling Code Data Visualization
  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.

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

Data at Depth • 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.