Your search for
visualization tutorials returned 37 results
Issue 241 - Tools
Welcome to TensorWatch
This newly released open source project from Microsoft Research is said to be the "Swiss Army Knife of debugging tools for AI." It works in Jupyter Notebook and shows real-time visualizations of ML training, while also performing other analysis tasks for your models and data. Here are the details, including links to tutorials.
Issue 239 - Data Viz
The Evolution of a ggplot
This step-by-step tutorial by Cédric Scherer shows how to create asthetic visualizations using ggplot2. This is well organized with lots of code snippets and screenshots.
Issue 229 - How-to
Scalable Log Analytics with Apache Spark — A Comprehensive Case-Study
This tutorial shows how Spark can be used for analyzing data at scale. Starts with the basics of setting up Spark and then walks through data wrangling, analysis and basic visualization.
Issue 223 - Data Viz
How to Turn Your ggplot2 Visualization into an Interactive Tweet
This step-by-step tutorial shows how to create an interactive visualization that you can embed in a Twitter post! This is a super creative idea with a lot of potential to be useful.
Issue 221 - Tools and Techniques
A Guide to Analyzing (American) Political Data in R
G Elliott Morris is a data journalist for The Economist with a particular interest in politics. This tutorial shows how to import, wrangle, model, and visualize election results using his politicaldata package in R. If you're interested in more like this, check out his weekly newsletter, The Crosstab.
Issue 215 - Tools and Techniques
Advanced Jupyter Notebooks: A Tutorial
This advanced guide to Jupyter Notebooks offers a wide variety of tips, including things like useful shell and magic commands, logging, macros, running external code, extensions, enhancing visualizations, automated reporting, databases, and more.
Issue 211 - Data Viz
Visualization for Machine Learning
This tutorial session from the NeurIPS Conference is a great introduction to Machine Learning Visualization. Fernanda Viegas and Martin Wattenberg are presenting and they're fantastic. The entire presentation is ~2 hours but it's well-organized and easy to skip around.
Issue 209 - Tools and Techniques
Scikit-learn Tutorial: Machine Learning in Python
Great introduction to the scikit-learn library that shows how to think through a machine learning example. Covers initial data exploration, simple data visualization, creating training/test datasets, algorithm considerations and model building.
Issue 197 - Tools and Techniques
Web Scraping TripAdvisor, Text Mining and Sentiment Analysis for Hotel Reviews
This step by step tutorial is a great walk-through of a practical application for text mining and sentiment analysis. Includes lots of code snippets and visualizations along the way.
Issue 187 - Tools and Techniques
Visual Introduction to Machine Learning Part II
Here's the long-awaited second part of the Visual Introduction to Machine Learning. In Part 2, the focus is on model tuning and the bias-variance trade-off. This is an elegant, must-read tutorial.
Issue 150 - Data Viz
Getting started with data visualization in R using ggplot2
Nice tutorial for people starting out with ggplot2. Includes useful descriptions, code snippets, and lots of screenshots.
Issue 148 - Data Viz
How to Generate FiveThirtyEight Graphs in Python
Here's a hands-on tutorial for creating visualizations that look similar to those published by FiveThirtyEight. Uses Python’s matplotlib and pandas.
Issue 146 - Tools and Techniques
A Data-driven Approach to Cryptocurrency Speculation
Awesome end-to-end tutorial for analyzing cryptocurrency markets. Starts with how to set up your environment and continues with retrieving pricing data, data wrangling, visualization, correlation analysis and lots of ideas for next steps.
Issue 139 - Data Viz
Visualizing Spanish Migration: A Case Study for Data Exploration at Periscopic
Fantastic walk-through that describes how the team at Periscopic developed a new visualization project. This is easy to follow and is organized as a step by step tutorial. Besides the details, what's great about this is the inclusion of the thinking process along the way and the intermediate designs that were eventually thrown out. Iteration is key.
Issue 136 - Data Viz
Network visualization with R
This comprehensive tutorial is a fantastic starting point for planning graph visualizations using R. Includes use cases for various graph types, lots of diagrams, interactive examples, code snippets, tips, etc, etc.
Issue 129 - Tools and Techniques
NBA Foul Calls and Bayesian Item Response Theory
The NBA is well-known for its awesome datasets. This is a fantastic tutorial that explores data from the NBA's Last Two Minute Report. It starts with basic data access and quickly moves on to develop a variety of models. Includes lots of code snippets and data visualization along the way. Highly recommended.
Issue 121 - Data Viz
#Dataviz tutorial: Mapping San Francisco home prices using R
Step-by-step tutorial for creating a variety of data visualizations that show different aspects of home prices in San Francisco. Whether you're interested in real estate or not, this is a nice exploration of different ways to portray the same dataset.
Issue 121 - Data Viz
Announcing ggraph: A grammar of graphics for relational data
ggraph is an extension of the ggplot2 API that supports relational data such as networks and trees. This article explores key features of the project with links to in-depth tutorials. This is very well done and highly recommended for people creating network based visualizations in R.
Issue 112 - Tools and Techniques
Machine Learning Crash Course
Two-part tutorial from the Machine Learning at Berkeley organization. This is very visual and easy to follow:
Issue 93 - Data Viz
Interactive Data Visualization of Geospatial Data using D3.js, DC.js, Leaflet.js and Python
Nice tutorial for building an interactive geospatial visualization. Introduces a variety of popular tools and includes a GitHub repo of code.
Issue 71 - Tools and Techniques
Gravitational Waves!
The LIGO Scientific Collaboration recently made the first direct detection of gravitational waves and the first observation of two black holes merging. Cool! If you're not sure what all the fuss is about, here's a great collection of short, visually rich videos to start with. From there, check out this Reddit AMA with the LIGO Scientific Collaboration. It's a fantastic AMA with over 5600 upvotes! And finally, an iPyhon notebook tutorial: Signal Processing With Gw150914 Open Data This tutorial shows you how to recreate the results, spectrograms, and sound files yourself and is complete with code and links to the data.
Issue 54 - Tools and Techniques
A Short(-ish) Introduction to Using R Packages for Baseball Research
Nice beginning R tutorial. Along with baseball-specific packages, includes database access, data munging, web scraping, and visualization.
Issue 47 - Data Viz
How to Create NBA Shot Charts in Python
Nice Python data visualization tutorial. This is a detailed walk-through with lots of code snippets and linked references.
Issue 35 - Resources
Great R Packages for Data Import, Wrangling & Visualization
Great curation of useful R packages, including descriptions, sample commands and links to tutorials and GitHub repos. This is a great resource for R users.
Issue 31 - Tools and Techniques
Conferences
There were a couple of great conferences this past week that are worth noting. OpenVis is definitely one of the best data visualization conferences anywhere and all of the presentations from the 2015 OpenVis conference have just been put online. If you're interested in data visualization, these are MUST SEE presentations. Then there was PyCon in Montreal which was an entire week of Python talks and tutorials. This 3 hour tutorial by Jake VanderPlas called Machine Learning with scikit-learn is particularly well done.
Issue 27 - Tools and Techniques
Introduction to the streamgraph htmlwidgtet R Package
Streamgraphs can be used to make compelling visualizations, especially when displaying large datasets. Here's a tutorial and R package for making streamgraphs via an htmlwidget.
Issue 25 - Tools and Techniques
Seeing Circles, Sines, And Signals
Awesome introduction to digital signal processing. It's based on a collection of interactive visualizations, which make it super easy to understand. Follow the index at the top of the pages or look for the "Next" button at the bottom to navigate. Even if you don't think you're interested, this is a MUST-PLAY-WITH tutorial.
Issue 23 - Data Viz
rbokeh - R Interface to Bokeh
Bokeh is a visualization library for creating interactive, web-based plots. Bokeh has interfaces for Python, Scala, Julia, and, as of this week, R. This is a great tutorial for working with Bokeh’s new R interface.
Issue 17 - Tools and Techniques
Creating the Dayton Weather Visualization
Here's a great project for Data Makers! This is a step-by-step R tutorial for creating this weather chart from Edward Tufte's book, Visual Display of Quantitative Information. Highly recommended!
Issue 14 - Tools and Techniques
Using convolutional neural nets to detect facial keypoints tutorial
This is a hands-on tutorial for learning about deep learning. It uses Kaggle's Facial Keypoints Detection challenge as a vehicle and introduces the Lasagne library for building neural networks with Python and Theano. With sample code, visualizations, and detailed instructions, this looks very worthwhile.
Issue 8 - Tools and Techniques
Jerome Cukier - Slopes of San Francisco
Jerome Cukier is a data visualization master. In this tutorial, he guides us through his approach to developing a practical map for walking in San Francisco. From data extraction to final design, this is a very readable overview of his thinking process.
Issue 7 - Tools and Techniques
Visualizing MNIST: An Exploration of Dimensionality Reduction
At some fundamental level, no one really understands machine learning. Humans do really well with two and three dimensions, not thousands. But by directly observing what is actually happening, step by step, this tutorial provides an opportunity to understand neural networks in a much deeper and more direct way.
Issue 7 - Data Viz
Linked Small Multiples
Linking Small Multiples can be a very effective way of visually exploring a large dataset. Here’s a great tutorial about using this technique, along with demos, sample code, and lots of linked references. There are lots of ideas here. This is very well done.
Issue 3 - Data Viz
Color Scales
Nice tutorial by the team at Interactive Things about creating color scales for interactive charts and visualizations.
Your search for
visualization tutorials returned 37 results
Issue 241 - Tools
Welcome to TensorWatch
This newly released open source project from Microsoft Research is said to be the "Swiss Army Knife of debugging tools for AI." It works in Jupyter Notebook and shows real-time visualizations of ML training, while also performing other analysis tasks for your models and data. Here are the details, including links to tutorials.
Issue 239 - Data Viz
The Evolution of a ggplot
This step-by-step tutorial by Cédric Scherer shows how to create asthetic visualizations using ggplot2. This is well organized with lots of code snippets and screenshots.
Issue 229 - How-to
Scalable Log Analytics with Apache Spark — A Comprehensive Case-Study
This tutorial shows how Spark can be used for analyzing data at scale. Starts with the basics of setting up Spark and then walks through data wrangling, analysis and basic visualization.
Issue 223 - Data Viz
How to Turn Your ggplot2 Visualization into an Interactive Tweet
This step-by-step tutorial shows how to create an interactive visualization that you can embed in a Twitter post! This is a super creative idea with a lot of potential to be useful.
Issue 221 - Tools and Techniques
A Guide to Analyzing (American) Political Data in R
G Elliott Morris is a data journalist for The Economist with a particular interest in politics. This tutorial shows how to import, wrangle, model, and visualize election results using his politicaldata package in R. If you're interested in more like this, check out his weekly newsletter, The Crosstab.
Issue 215 - Tools and Techniques
Advanced Jupyter Notebooks: A Tutorial
This advanced guide to Jupyter Notebooks offers a wide variety of tips, including things like useful shell and magic commands, logging, macros, running external code, extensions, enhancing visualizations, automated reporting, databases, and more.
Issue 211 - Data Viz
Visualization for Machine Learning
This tutorial session from the NeurIPS Conference is a great introduction to Machine Learning Visualization. Fernanda Viegas and Martin Wattenberg are presenting and they're fantastic. The entire presentation is ~2 hours but it's well-organized and easy to skip around.
Issue 209 - Tools and Techniques
Scikit-learn Tutorial: Machine Learning in Python
Great introduction to the scikit-learn library that shows how to think through a machine learning example. Covers initial data exploration, simple data visualization, creating training/test datasets, algorithm considerations and model building.
Issue 197 - Tools and Techniques
Web Scraping TripAdvisor, Text Mining and Sentiment Analysis for Hotel Reviews
This step by step tutorial is a great walk-through of a practical application for text mining and sentiment analysis. Includes lots of code snippets and visualizations along the way.
Issue 187 - Tools and Techniques
Visual Introduction to Machine Learning Part II
Here's the long-awaited second part of the Visual Introduction to Machine Learning. In Part 2, the focus is on model tuning and the bias-variance trade-off. This is an elegant, must-read tutorial.
Issue 150 - Data Viz
Getting started with data visualization in R using ggplot2
Nice tutorial for people starting out with ggplot2. Includes useful descriptions, code snippets, and lots of screenshots.
Issue 148 - Data Viz
How to Generate FiveThirtyEight Graphs in Python
Here's a hands-on tutorial for creating visualizations that look similar to those published by FiveThirtyEight. Uses Python’s matplotlib and pandas.
Issue 146 - Tools and Techniques
A Data-driven Approach to Cryptocurrency Speculation
Awesome end-to-end tutorial for analyzing cryptocurrency markets. Starts with how to set up your environment and continues with retrieving pricing data, data wrangling, visualization, correlation analysis and lots of ideas for next steps.
Issue 139 - Data Viz
Visualizing Spanish Migration: A Case Study for Data Exploration at Periscopic
Fantastic walk-through that describes how the team at Periscopic developed a new visualization project. This is easy to follow and is organized as a step by step tutorial. Besides the details, what's great about this is the inclusion of the thinking process along the way and the intermediate designs that were eventually thrown out. Iteration is key.
Issue 136 - Data Viz
Network visualization with R
This comprehensive tutorial is a fantastic starting point for planning graph visualizations using R. Includes use cases for various graph types, lots of diagrams, interactive examples, code snippets, tips, etc, etc.
Issue 129 - Tools and Techniques
NBA Foul Calls and Bayesian Item Response Theory
The NBA is well-known for its awesome datasets. This is a fantastic tutorial that explores data from the NBA's Last Two Minute Report. It starts with basic data access and quickly moves on to develop a variety of models. Includes lots of code snippets and data visualization along the way. Highly recommended.
Issue 121 - Data Viz
#Dataviz tutorial: Mapping San Francisco home prices using R
Step-by-step tutorial for creating a variety of data visualizations that show different aspects of home prices in San Francisco. Whether you're interested in real estate or not, this is a nice exploration of different ways to portray the same dataset.
Issue 121 - Data Viz
Announcing ggraph: A grammar of graphics for relational data
ggraph is an extension of the ggplot2 API that supports relational data such as networks and trees. This article explores key features of the project with links to in-depth tutorials. This is very well done and highly recommended for people creating network based visualizations in R.
Issue 112 - Tools and Techniques
Machine Learning Crash Course
Two-part tutorial from the Machine Learning at Berkeley organization. This is very visual and easy to follow:
Issue 93 - Data Viz
Interactive Data Visualization of Geospatial Data using D3.js, DC.js, Leaflet.js and Python
Nice tutorial for building an interactive geospatial visualization. Introduces a variety of popular tools and includes a GitHub repo of code.
Issue 71 - Tools and Techniques
Gravitational Waves!
The LIGO Scientific Collaboration recently made the first direct detection of gravitational waves and the first observation of two black holes merging. Cool! If you're not sure what all the fuss is about, here's a great collection of short, visually rich videos to start with. From there, check out this Reddit AMA with the LIGO Scientific Collaboration. It's a fantastic AMA with over 5600 upvotes! And finally, an iPyhon notebook tutorial: Signal Processing With Gw150914 Open Data This tutorial shows you how to recreate the results, spectrograms, and sound files yourself and is complete with code and links to the data.
Issue 54 - Tools and Techniques
A Short(-ish) Introduction to Using R Packages for Baseball Research
Nice beginning R tutorial. Along with baseball-specific packages, includes database access, data munging, web scraping, and visualization.
Issue 47 - Data Viz
How to Create NBA Shot Charts in Python
Nice Python data visualization tutorial. This is a detailed walk-through with lots of code snippets and linked references.
Issue 35 - Resources
Great R Packages for Data Import, Wrangling & Visualization
Great curation of useful R packages, including descriptions, sample commands and links to tutorials and GitHub repos. This is a great resource for R users.
Issue 31 - Tools and Techniques
Conferences
There were a couple of great conferences this past week that are worth noting. OpenVis is definitely one of the best data visualization conferences anywhere and all of the presentations from the 2015 OpenVis conference have just been put online. If you're interested in data visualization, these are MUST SEE presentations. Then there was PyCon in Montreal which was an entire week of Python talks and tutorials. This 3 hour tutorial by Jake VanderPlas called Machine Learning with scikit-learn is particularly well done.
Issue 27 - Tools and Techniques
Introduction to the streamgraph htmlwidgtet R Package
Streamgraphs can be used to make compelling visualizations, especially when displaying large datasets. Here's a tutorial and R package for making streamgraphs via an htmlwidget.
Issue 25 - Tools and Techniques
Seeing Circles, Sines, And Signals
Awesome introduction to digital signal processing. It's based on a collection of interactive visualizations, which make it super easy to understand. Follow the index at the top of the pages or look for the "Next" button at the bottom to navigate. Even if you don't think you're interested, this is a MUST-PLAY-WITH tutorial.
Issue 23 - Data Viz
rbokeh - R Interface to Bokeh
Bokeh is a visualization library for creating interactive, web-based plots. Bokeh has interfaces for Python, Scala, Julia, and, as of this week, R. This is a great tutorial for working with Bokeh’s new R interface.
Issue 17 - Tools and Techniques
Creating the Dayton Weather Visualization
Here's a great project for Data Makers! This is a step-by-step R tutorial for creating this weather chart from Edward Tufte's book, Visual Display of Quantitative Information. Highly recommended!
Issue 14 - Tools and Techniques
Using convolutional neural nets to detect facial keypoints tutorial
This is a hands-on tutorial for learning about deep learning. It uses Kaggle's Facial Keypoints Detection challenge as a vehicle and introduces the Lasagne library for building neural networks with Python and Theano. With sample code, visualizations, and detailed instructions, this looks very worthwhile.
Issue 8 - Tools and Techniques
Jerome Cukier - Slopes of San Francisco
Jerome Cukier is a data visualization master. In this tutorial, he guides us through his approach to developing a practical map for walking in San Francisco. From data extraction to final design, this is a very readable overview of his thinking process.
Issue 7 - Tools and Techniques
Visualizing MNIST: An Exploration of Dimensionality Reduction
At some fundamental level, no one really understands machine learning. Humans do really well with two and three dimensions, not thousands. But by directly observing what is actually happening, step by step, this tutorial provides an opportunity to understand neural networks in a much deeper and more direct way.
Issue 7 - Data Viz
Linked Small Multiples
Linking Small Multiples can be a very effective way of visually exploring a large dataset. Here’s a great tutorial about using this technique, along with demos, sample code, and lots of linked references. There are lots of ideas here. This is very well done.
Issue 3 - Data Viz
Color Scales
Nice tutorial by the team at Interactive Things about creating color scales for interactive charts and visualizations.
If you’re browsing, try one of these:
Sign up for Free
and get resources like these delivered to your Inbox each Tuesday.
No spam, ever. We’ll never share your email address and you can opt out at any time.
No spam, ever.