Publications by modern.data
6 Machine Learning Visualizations made in Python and R
These 6 visualizations were created in Plotly between 2014 and 2016 and are in some way related to machine learning. They were created using Plotly’s free and open-source graphing libraries for Python and R. 1. machine learning classifier comparison Made in Python by Étienne Tétreault-Pinard View the interactive version 2. COUN...
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Upgrading to plotly 4.0 (and above)
By Carson Sievert, lead Plotly R developer I’m excited to announce that plotly’s R package just sent its first CRAN update in nearly four months. To install the update, run install.packages("plotly"). This update has breaking changes, enables new features, fixes numerous bugs, and takes us from version 3.6.0 to 4.5.2. To see all the chang...
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PLOTCON NYC: Edward Tufte, Dash workshop, Charts for React.js, and Discount for R-Bloggers
Edward tufte keyNoTe Edward Tufte will be kicking off PLOTCON NYC this year with his keynote talk. Edward is a Professor Emeritus of Political Science, Statistics, and Computer Science at Yale University. He wrote, designed, and self-published 4 classic books on data visualization including, “The Visual Display of Quantitative Information.”...
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Building rich analytic web apps has never been easier
We’re entering a golden age of the “analytics developer.” Cutting edge companies like AirBnB, Apple, and S&P are no longer buying off-the-shelf BI software. Instead, they build their own targeted BI platforms that succeed where traditional Big BI falls flat: Agility, collaboration, browser experience, and web-based data visualization. If y...
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7 Interactive Bioinformatics Plots made in Python and R
Plotly serves a large bioinformatics and biostats research community. These users leverage the uniquely interactive features of plotly charts for dendrograms, heatmaps, volcano plots, and other visualizations common in this field. Here are 7 resources in Python and R created by plotly bioinformatics and biostats researchers. 1. Jupyter notebook...
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Dash has gone full R
This is a reblog from the “Announcing Dash for R” announcement originally published July 10. Dash, the fastest growing framework for building analytic web applications on top of Python models, is now available for the R programming language. Installation | Documentation | GitHub | Gallery Dash was released in 2017 as the latest evol...
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Modern reporting for R with Dash
Creating an effective, informative, and aesthetically appealing report to showcase your data can be tedious: it’s often difficult to display your data and your plots together in an uncluttered manner, and even harder to implement interactivity between the individual elements. Dash for R facilitates this task, providing an intuitive way to make ...
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R comes to oil + gas
Tools capable of producing rich analytic reports and data visualizations are a valuable resource for decision makers in any field. Dash is an open-sourced based framework for building dynamic web applications that seamlessly integrates interactive graphics and tabular data summaries, serving as a catalyst for data-driven decision-making. Several ...
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Introducing Dash Bio for R
Dash and the R programming language offer innovative avenues for bioinformaticians, pharmaceutical developers, and researchers to synergistically analyze, visualize, and present data within an interactive web application. Plotly’s Dash Bio package makes it easier than ever to build bioinformatics and drug discovery applications with Dash.The NC...
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Part I: Operationalizing R models with Dash Enterprise and Microsoft Azure
While R offers excellent support for machine learning, the process of operationalizing ML models as interactive web applications offers a promising tool for collaboration and data visualization. A well-designed web application can help close the gap between analysts and project stakeholders by providing data scientists with a platform to communic...
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