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Designing a Practical and Compelling Data Visualization
Data visualization is the most powerful way to communicate data to both technical and non-technical audiences. It’s also the most “taken-for-granted” component of analytics. Few analysts have formal training in data visualization best practices. Exacerbating the problem is that the default options in applications like PowerPoint and Excel are poorly designed;... Read more
Data Visualization and Dashboards in the Era of Covid-19
Data visualization is the presentation of your data analysis in a pictorial or graphical format. Its goal is to communicate information clearly and efficiently to users and enable decision-makers so they can grasp difficult concepts. It’s about techniques and forms of art as much as tools and frameworks/languages. The... Read more
Getting Started with Data Visualization Library in Python: Matplotlib
The primary data visualization library in Python is matplotlib, a project begun in the early 2000s, that was built to mimic the plotting capabilities from Matlab. Matplotlib is enormously capable of plotting most things you can imagine, and it gives its users tremendous power to control every aspect of... Read more
Has Progress in America Peaked?
Measuring Physical, Personal, and National Development over the past century I recently came across a compelling work of data visualization published by the New York Times. The author sought to prove a point that performance had peaked in men’s speed skating and more broadly in other Olympic sports too. [Related... Read more
Visualizing Bias in Data Using Embedding Projector
Before a machine learning model is deployed, its performance is evaluated. However, apart from the performance aspect, it is also important to know what the model has learnt. This is necessary so as to ensure that the model hasn’t learnt something discriminatory or biased. [Related Article: 9 Common Mistakes... Read more
Interpreting the 2020 Puerto Rico Earthquake Swarm with Data Science
Using visualizations, maps, time series and Google Trends data science, Puerto Rico earthquakes are described. Since late December 2019 until early January 2020, the southwestern region of the island Puerto Rico has been experiencing a series or swarm of earthquakes, leaving in its wake a trail of destruction and... Read more
Local Regression in Python
I love data visualization make-overs (like this one I wrote a few months ago), but sometimes the tone can be too negative (like this one I wrote a few months ago). Sarah Leo, a data journalist at The Economist, has found the perfect solution: re-making your own visualizations. Here’s her tweet.... Read more
A New Method of Data Mapping – Dimensionality Reduction + Network Theory
When you visit a new place, probably you will rely on a map to guide you from place to place so you could get yourself oriented and help you find the most interesting places. The same happens with data. When you get a new dataset to work with, what... Read more
Parallel Plots for Visualizing Relationships with ggplot2 and ggforce
Parallel plots are useful for understanding the connections in a data set. In this post, we will demonstrate how ggplot2 and ggforce packages can be combined to create Parallel set plots–an extension of parallel plots.  Parallel set plots depict... Read more
Why We Need Graph Analytics for Real-World Predictions
Editor’s Note: Learn more about graphs and graph analytics at the talk “Reveal Predictive Patterns with Neo4j Graph Algorithms” at ODSC West 2019 on Wednesday, October 30th. As data becomes increasingly interconnected and systems increasingly sophisticated, it’s essential to make use of the rich and evolving relationships within our... Read more