Data Visualization

Data Visualization | News, how-tos, features, reviews, and videos

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A beginner's guide to using Observable JavaScript, R, and Python with Quarto

Using Quarto with Observable JavaScript is a great solution for R and Python users who want to create more interactive and visually engaging reports.

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Learn Observable JavaScript with Observable notebooks

Free, hosted Observable notebooks provide an interactive experience and lots of free, open-source Observable JS code you can reuse and learn from. Here's how to get started.

Do More With R [video hero/video series] - R Programming Guide - Tips & Tricks

Easier ggplot with ggcharts in R

Create R data visualizations easily with a few lines of simple code using the ggcharts R package. Plus, the resulting charts and graphs are customizable ggplot objects.

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How to make easier ggplot2 with ggcharts

Make ggplot2 graphs with a lot less code using the ggcharts package.

Do More With R [video hero/video series] - R Programming Guide - Tips & Tricks

How to create PowerPoint slides from R

Learn how to generate PowerPoint slides straight from an R Markdown document. Plus, create interactive HTML slides in R with the xaringan package.

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How to create PowerPoint slides right from R

Learn how to generate PowerPoint slide presentations right from R with R Markdown. Plus: Create interactive HTML slides with the xaringan package.

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Astonishingly easy mapping with R and mapview

One short line of code give you a full-featured interactive choropleth map – complete with rollover text and popup data – thanks to the mapview package. See how simple it is to explore geospatial data in R. Data files available in...

Do More With R [video teaser/video series] - R Programming Guide - Tips & Tricks

Easy racing bar charts in R with ddplot

You won’t believe how easy it is to create animated bar charts in the R programming language to show rankings over time.

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How to choose the right data visualization tools for your apps

Charting APIs have their place, but embedded analytics platforms are often a better way to create interactive, visual experiences in your applications.

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Why embed analytics and data visualizations in apps

Embedding analytics in applications is a smart way to expose insights and decision-making capabilities directly in employee workflow and customer-facing apps.

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AI, machine learning, and deep learning deep dive

Download this 26-page in-depth guide to AI, machine learning, and deep learning for easy reading at your convenience

Get started with Angular

A step-by-step guide to installing the tools, creating an application, and getting up to speed with Angular components, directives, services, and routers

Python megaguide: The best frameworks and IDEs

Only on InfoWorld: A hands-on, in-depth look at 13 Python web frameworks and six Python development toolkits

Quick guide: Digital transformation and the agile enterprise

Enterprise transformation is hard. But when you build a platform for continuous change, putting new ideas into production becomes a lot easier

Career hacks: Professional do’s and don’ts for developers

The hot skills to master, the secrets to breaking into management, the career mistakes to avoid -- here's how to refactor yourself as the developer every organization wants

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Deep Dive how-to: Office 365 document sharing

Office 2016, OneDrive, and Office 365 together offer powerful document collaboration capabilities across Windows, MacOS, iOS, Android, and the web -- but only if you set them up and manage them properly. This how-to guide walks you...

Machine learning megaguide: Amazon, Microsoft, Databricks, Google, HPE, IBM

Download InfoWorld's massive roundup of Amazon, Microsoft, Databricks, Google, HPE, and IBM machine learning toolkits

The Essential Guide to Microservices

How to create modern Web and mobile applications that scale.

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