- Vega [deadlink] | Vega: Homepage | Vega: GitHub | Vega-lite
- Matplotlib
- Seaborn
- Plotly
- Python Graph Gallery
- Dashboards: dash | pyviz | Streamlit | Plotly Dash
- Quick Introduction to ggplot2 | r4stats.com: Graphics, ggplot2 | Overview of Python Visualization Tools | Pandas: visualisation | Matplotlib tutorial | Static and dynamic network visualization with R - Katya Ognyanova | Visualisation/plots library in Python, inspired by D3-like visualisations | Complete Guide to Data Visualization with Python LinkedIn post
- RAWGraphs - The missing link between spreadsheets and data visualization | Gallery Learning: How-to | Blogs
- Flourish - Powerful, beautiful, easy data visualisation. Magic from spreadsheets. Next-level storytelling. Embed on your site. All devices welcome. Nothing to install. Outputs work forever. Unlimited flexibility.
- Penrose: from mathematical notation to beautiful diagrams: Homepage | SIGGRAPH '20 paper | video: Penrose in action
- Introducing 3D ggplots with rayshader
- Python tools for data visualization: DataShader | Holoview | Blender | Blender Open Data - all links highly recommended
- Top 5 graph visualisation tools LinkedIn post
- Visualisation tool Orange - Thanks wguesdon for sharing this link with us
- Matplotlib Tutorial – A Complete Guide to Python Plot w/ Examples
- 10 Useful Python Data Visualization Libraries for Any Discipline
- 17 Data Visualization Tools & Resources You Should Bookmark
- Infographics and presentation tools
- Interactive data visualisation tools and libraries
- GPU Accelerated data viz tools
- A Comparative Analysis of Top 6 BI and Data Visualization Tools in 2018
- The R package
factoextramakes it supremely easy to extract and visualize the output of the most common (exploratory) multivariate data analyses (PCA, MFA, etc.)
- How the BBC Visual and Data Journalism team works with graphics in R
- Same Stats, Different Graphs: Generating Datasets with Varied Appearance and Identical Statistics through Simulated Annealing
- Data Visualisation in Python by Chris Albon - look for the Data Visualization section
- 100+ Data Visualization
- Visualizing #KMeans algorithm with D3.js
- Visualize Categorical Relationships With Catscatter
- 📊 Data Visualization With Python (#Matplotlib) 📊
- Quick and Easy Data Visualizations in Python with Code
- Interactive Data Visualization in Python With Bokeh
- Data Visualization in R
- The Next Level of Data Visualization in Python (Plotly) LinkedIn post
- Visualise model prediction
- Visualise Scikit Models
- Track model performance
- Using Python To Visualize Stock Data to Candlestick Charts by Melvynn Fernandez
- Visualizing Model Failures
- Visualize any Data Easily, from Notebooks to Dashboards | Scipy 2019 - highly recommended
- Interactive Machine Learning, Deep Learning and Statistics websites
- Data Visualisation by Kaggle.com
- How to visualize convolutional features in 40 lines of code
- Visualization in Bayesian workflow
- Data Visualization - Hard Skills from clone95 the creator of Virgilio
- Optics Illustrations from the Physics Textbooks of Amédée Guillemin (1868/1882)
- Accurat studio: The Architecture of a Data Visualization Multilayered Storytelling through “Info-spatial” Compositions
- How to choose the right visualization for your data | Good example: The best laid plans | Video of talk by Surasti Puri
- Guide to Visualization - How to pick the right chart - by Janis Gulbis
- How to choose your data visualisations
- Data Visualisation: How to pick the right chart type?
- 👉 How to Design Charts and Graphs 👈: 1 | 2
- 20 ways visualizing Percentage
- Data Visualization Purpose: Andrew Abela & Stephen Few
- Data Visualisation by Purpose (Ellie K, Miller post)
- 👉 Which Chart or Graph is right for you 👈
- A Beginners Guide to Creating Clean and Appetizing Python Charts
- Italo Calvino: text & data | data visualization book by Hanna Piotrowska (Dyrcz)
- Fire plus Algebra Resources on Fire Plus Algebra's website
- Telling Human Stories With Data (skillscast) [deadlink] by Alan Rutter
- Resources kindly recommended by Alan Rutter
- The Data Visualisation Catalogue
- Flowing Data | About Nathan Yau
- Information is Beautiful
- WTF Visualizations - Visualizations that make no sense, worst examples to NOT do and learn from!
- Visual Capitalists - real world, info-graphics like examples of various visualisations
- "𝘼 𝙜𝙤𝙤𝙙 𝙫𝙞𝙨𝙪𝙖𝙡𝙞𝙯𝙖𝙩𝙞𝙤𝙣 𝙞𝙨 𝙣𝙤𝙩 𝙟𝙪𝙨𝙩 𝙖 𝙥𝙞𝙘𝙩𝙪𝙧𝙚; 𝙞𝙩 𝙞𝙨 𝙖 𝙨𝙩𝙤𝙧𝙮. 𝙏𝙝𝙚 𝙨𝙩𝙤𝙧𝙮 𝙤𝙛 𝙤𝙣𝙚’𝙨 𝙟𝙤𝙪𝙧𝙣𝙚𝙮 𝙞𝙣 𝙩𝙝𝙚 𝙙𝙖𝙩𝙖." (Towards Data Science's best stories on data visualization) LinkedIn post
- Data Visualization is a very important step in Data Science, so we should try to MASTER it
- Data Visualization Effectiveness Profile
- The Visual Perception of Variation in Data Displays
- An Infographic of “Data Science Landscape” LinkedIn post
- The Data Science Ecosystem in One Tidy Infographic LinkedIn Post
- Drawing Attention to Climate Change With Interactive Generative Art LinkedIn post
- Data Visualization for KPI and KRI
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