Data Visualization
Data Visualization | News, how-tos, features, reviews, and videos
![Do More With R [video teaser/video series] - R Programming Guide - Tips & Tricks](https://images.idgesg.net/images/article/2018/05/do_more_with_r_teaser-100758232-medium.3x2.jpg)
How to get started with Kibana
Kibana is a powerful tool for visualizing data in Elasticsearch. Here’s how to start exploring your Elasticsearch data
10 Splunk alternatives for log analysis
Splunk may be the most famous way to make sense of mass quantities of log data, but it is far from the only player around
![Do More With R [video teaser/video series] - R Programming Guide - Tips & Tricks](https://images.idgesg.net/images/article/2018/05/do_more_with_r_teaser-100758232-small.3x2.jpg)
How to write your own ggplot2 functions in R
You no longer have to worry about quoted and unquoted column names when using ggplot2, thanks to the latest version of the rlang package
JavaScript tutorial: Animated charts with React-vis
With React-vis, breathing life into a chart is as simple as adding a single word to our code
JavaScript tutorial: Beyond basic charts with React-vis
How to use Uber’s library of React components to create interactive line charts that display comparative values over time
JavaScript tutorial: Easy data visualizations with React-vis
The library of React components from Uber makes creating charts and other simple visualizations a snap
Machine learning and data visualization for clickstream analysis
How to use the KNIME Analytics Platform to understand the behavior of website visitors
5 steps to smarter data visualization
Data visualizations are key to understanding your data, so help them look their best
How to validate data, analytics, and data visualizations
Application testing often ignores one crucial set of tests that is critical for any application processing or presenting data, analytics, or data visualizations
Deep Dive
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
How to choose the right data visualization tools for your apps
Visualization frameworks have their place, but dedicated visualization tools are often a better way to create interactive, visual experiences in your applications
How enterprise knowledge graphs can proactively reduce risk
Incorporating knowledge graphs with artificial intelligence offer newfound ability to seek out data security threats instead of simply reacting once noncompliance or data losses occurs
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R tip: Access nested list items with purrr
In this ninth episode of Do More with R, learn how to easily access and modify nested list items with the purrr package’s modify_depth function
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R tip: Animations in R
In this eighth episode of Do More with R, learn how to animate data over time with R and the gganimate and ggplot2 packages.
Microsoft adds Python support to Power BI
A preview feature allows Python scripts to be used as data sources and as a way to create visualizations in Power BI Desktop
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R tip: Create maps in R
In this seventh episode of Do More with R, learn how to create maps in R—it’s easier than you think, thanks to new and updated packages like sf, tmap, and ggplot2
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R tip: Iterate with purrr's map_df function
In this sixth episode of Do More with R, learn how to apply a function to a vector of values and return a data frame
Why dynamically visualizing relationships in data matters
The ability to visualize data, their relationships to one another and connections to business objectives gives organizations the power to uncover insights that would otherwise elude them
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