Visualization

Different ways of visualizing your next deep learning model for your data science project.*Note: I have no affiliation with the companies or APIs discussed today.Image from AuthorVisualizations are important for many reasons. They help support and solidify the messages within a body of text. Did you know that humans not only learn by reading and lectures, but they also learn by seeing? Deep learning models, ie. neural networks, can be very difficult to describe in words. Generating a visualization of a neural network you…

A simple empirical method to compute COF, illustratedPhoto By ThisisEngineering RAEng on UnsplashTL;DR: An empirical method to compute the cognitive overload factor of data visualization using an evaluation rubric is proposed. The evaluation criteria and scoring method used by the rubric are explained. An example data visualization is used to demonstrate the method. Further extensions and customization of the evaluation rubric are recommended.Data VisualizationData visualization transforms raw data into visual…

OpinionThe correct way to improve the quality of business analyticsImage source: https://unsplash.com/photos/JKUTrJ4vK00?utm_source=unsplash&utm_medium=referral&utm_content=creditShareLinkChoosing the right representation of your analytical work results directly influences the quality of management and decision-making. In this article by Andrew Bush, the founder and CEO of A17 Technologies company, find out why data visualization mistakes can cost your company a pretty penny and how to avoid significant losses.No…

The top data visualization tools that businesses should adopt while making crucial decisions The technique of graphically representing data in the form of heat maps, charts, sparklines, infographics, or statistical graphs is known as data visualization. The visual depiction of data is facilitated by data visualization tools that include support for streaming data, AI integration, embeddability, collaboration, interactive exploration, and also self-service capabilities. Data provided with visual components are simple…

Using Neural Networks to Compress Information for Interactive RenderingSamples from Previous Work by the UC Davis VIDI group. Image courtesy of UC Davis VIDI groupOne of the great joys as a Software Architect and Technology Evangelist at Intel is the opportunity to see the fantastic work done by oneAPI Centers of Excellence (CoE) worldwide. Recently, the UC Davis Visualization & Interface Design Innovation (VIDI) Lab shared how they are using deep learning for performant, interactive scientific visualization.Why does…

We’re well into fall pie season (a concept that we may have just invented), which means circles, slices, ratios, and measurements are top of mind for many of us. What could be a better time to fill our crusty dataviz skill set with some new ideas?Baking metaphors aside, the goal of data visualization has been consistent for a very long time: to transform complex relationships and tangled sets of facts into clear, easy-to-decipher narratives. The tools and approaches we use to create effective visuals never stop evolving,…

The fastest way to deploy Python data appsBy Marc Skov Madsen and Sophia YangPython tools make it easy to build visualization dashboards, but sharing them using a Python server in the cloud can be difficult and expensive. What if it were as easy as pushing your file out to GitHub pages, with no running server needed? Now it is! Thanks to the HoloViz team, especially Philipp Rudiger, with the new Panel 0.14 release, you can run a Panel data app entirely in your browser, no server needed!This is now the fastest way to…

Matplotlib For BeginnersPhoto by Марьян Блан | @marjanblan on UnsplashWhile talking to a lot of aspiring analysts/ data scientists, I realized that their only focus/ interest is towards learning predictive models, machine learning algorithms, etc. One important aspect of the data science life cycle that they don’t focus on in the beginning is Data Exploration.Data Visualization is one of the key tools to effectively explore data. The tutorial aims to introduce the reader to one of the most commonly used visualization…

Simple ideas using a few lines of code to deal with a long time-series plotPhoto by Waldemar Brandt on UnsplashTypically, a time-series plot consists of an X-axis representing the timeline and a Y-axis showing data values. This visualization is common in showing the progress of data over time. It has some benefits in extracting insight information such as trends and seasonal effects.There is a concern when dealing with an ultra-long timeline. Even though long time-series data can be easily fitted into a plotting area…

The world’s population is expected to reach eight billion by November 2022. While that number sounds staggering in and of itself, a new visual created by Visual Capitalist breaks down the nearly eight billion people in the world by country, showcasing just how massive some parts of the world are. Over the past 50 years, the world’s population has nearly doubled from just four billion to eight billion. Yet, despite that number’s growth, the world’s population isn’t broken up evenly anywhere. Of that 8 billion,…