- Vega: a grammar of interactive graphics | Vega: Homepage | Vega: GitHub | Vega-lite
- Matplotlib | Matplotlib gallery 1234
- Seaborn
- Plotly | Think Data Visualization? Think Plotly!
- Vizzu - for building animated charts and data stories in JavaScript (Vizzu) and Python (IPyVizzu)
- AutoPlotter • GUI based Exploratory Data Analysis (EDA) Search easily for missing values, data distribution & trends, outliers etc
- Python Graph Gallery
- Algovis is a python library made for visualizing algorithms
- 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
- Scatter Plot in Python
- 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.) - Autoviz: Automatically Visualize any Dataset by Himanshu Sharma
- Understand your data with a few lines of code in seconds using DataPrep.eda: 1 2
- Sweetviz is also one of the best library for EDA and data Visualization,It generate html document with a single line of code,with all plots and features comparisons.🤟
- Dexplot: a new layer on Matplotlib for Pandas users, it works like SeaBorn but with what looks like a cleaner interface
- New release: Whatlies - a toolkit to help visualise what lies in word embeddings. Make visualisation easier of both word embeddings as well as operations on them
- An #OpenSource machine learning pipeline for geospatial imagery
- Detexify LaTeX handwritten symbol recognition
- latexify_py generates LaTeX math description from Python functions
- Interactive Tools for ML, DL and Math
- 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) 📊
- Timestamp Data Visualization by 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 | Show GPT-3 a single code snippet and it creates a full working Plotly chart for you
- 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
- A very neat and in-depth course on #datavisualization by Ilya Kashnitsky: GitHub
- mini-course in Kaggle if you want to know more about GIS: 1 | 2
- Courses by the University of Helsinki
- Visualisation Kaggle kernel (follium 1)
- Visualisation Kaggle kernel (follium 2)
- 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
- The Legend of Data - Ep.4 - Data Visualization 1
- The Legend of Data - Ep.5 - Data Visualization 2
- 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?
- Bubble Chart in Python
- 👉 How to Design Charts and Graphs 👈: 1 | 2
- 20 ways visualizing Percentage
- 10 Visualizations Every Data Scientist Should Know +
- Data Visualization for Scientists and Engineers
- 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
- The Rosé Pine vibe for your Matplotlib charts
- Lollipop & Dumbbell Charts with Plotly
- Data is Beautiful
- Pywedge is an open-source python library which is a complete package that helps you in Visualizing the data, pre-process the data and also create some baseline models which can be further tuned to make the best machine learning model for the data
- Visual Data
- Data Visualization for Scientists and Engineers (video)
- Printing vectors using Python
- The Art of Effective Visualization of Multi-dimensional Data
- Alberto Cairo's weblog about information design and visualisation
- Jupyter notebook extension for 3D visualization - K3D lets you create 3D plots backed by WebGL with high-level API
- Visualize All the Things
- Machine Learning Data Visualization
- Thinking about how to visualize text? Here is a huge collection of possibilities for inspiration!
- Process 120 million taxi trips and explore in real-time with Dash, Plotly and Vaex: Interactive Dashboard | Blogpost | Code | Tutorial for data processing
- Learning Data Visualization
- Code to draw? Interactive Canvas on Jupyter
- Holoview: Stop plotting your data - annotate your data and let it visualize itself
- Draw as Diagram
- 9 Distance Measures in Data Science
- Creating beautiful maps with Python
- Data-to-viz - From Data to Viz leads you to the most appropriate graph for your data. It links to the code to build it and lists common caveats you should avoid.
- Dataviz Inspiration - aims at being the biggest list of chart examples available on the web. It showcases 149 of the most beautiful and impactful dataviz projects I know. The collection is a good place to visit when you're designing a new graph, together with data-to-viz.com that shares dataviz best practices.
- 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) 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
- Effective Visualization Techniques for Data Discovery and Analysis: 1 | 2
- 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
- Book: Good Charts: The HBR Guide to Making Smarter, More Persuasive Data Visualizations
- Genuine Impact Newsletter - We use simple and beautiful charts to visualize complex financial data. Also write stock deep-dives and investment philosophies
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