Tag: Data visualization

Feed: R-bloggers. Author: Stéphane Laurent. I refreshed my old package ‘dir2json‘ (5 years old). It uses a Haskell DLL and can only work on Windows. You can install it from Github: remotes::install_github("stla/dir2json") This package contains two Shiny apps. The first one allows to represent a folder structure as a tree network diagram (called a Reingold-Tilford tree), thanks to the amazing JavaScript library ‘D3‘: library(dir2json) # don't forget to limit the depth if the folder is deep! shinyDirTree(dir = "inst", depth = 3) As you can see, it also allows to search a file in the tree. And it is possible ... Read More

Feed: R-bloggers. Author: Dario Radečić. Data visualization can be tricky to do right. There are a ton of key principles you need to be aware of. Today we bring you 5 best practices for visualizing data with examples in R programming language. Incorporate these key R data visualization principles into your toolset to improve your data storytelling. After reading, you’ll know how to produce publication-ready charts that won’t leave users questioning the data or the logic. You’ll know how to use ggplot2 and plotly for both static and interactive charts, and also how to get maximum interactivity out of your ... Read More

Feed: R-bloggers. Author: finnstats. The post Best Courses For Data Visualization Online appeared first on finnstats. If you want to read the original article, click here Best Courses For Data Visualization Online. Best Courses For Data Visualization, Data visualization is fast becoming an important must-learn talent in this age and time of Technology and Big Data. Subscribe to our newsletter! As businesses become increasingly data-driven, we must be able to not only comprehend vast amounts of data, but also analyze, explain, digest, and compare complicated data in a way that everyone who needs to understand it can. Regression Analysis Example-Ultimate ... Read More

Feed: R-bloggers. Author: Laura Ellis. As data visualization folks, we put a lot of effort into creating impactful and beautiful data visualizations. Some dataviz creations are so wonderful, that they should be considered a work of art. Let’s take it a step further and try our hand at displaying our work in a virtual data art gallery. The Data Visualization Art Gallery IdeaIn January, Alli Torban posted about a tool called “Mental Canvas” which enables creative spatial exploration of ideas and content. She created a virtual data visualization studio complete with a desk full of her work. In looking at ... Read More

Feed: Top Blog Posts. Author: Dylan Menders. Graphics reveal data. It is a reasonably new invention (compared to say complex mathematical equations) as it was only in the late 1750 to 1800 that the first graphs were invented and referred to as ‘linear arithmetic’. The art and science of data visualization has grown in leaps and bounds since then and is a vital part of informed decision making today in both the business and scientific world. To manage your digital marketing campaigns with insight, it is crucial to understand the basics and the benefits of data visualization.   What is ... Read More

Feed: R-bloggers. Author: R Consortium. [This article was first published on R Consortium, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. Alimi Eyitayo is a Graduate of Computer Engineering and a social engineering professional with over 12 years of experience in the field of information technology. She is an international speaker and an education advocate. Her quest for knowledge motivated her to embark on virtual reality research which was published as the first ... Read More

Feed: Neo4j Graph Database Platform. Author: Angela Zimmerman. We’ve all been there – losing sleep over the billions of data points that you need to make sense of and present to your key business partners, all while making the data intuitive to work with. This challenge is all too common and one that many data scientists, technical business analysts, and developers face time and again. For users of the Neo4j database, you’re in luck. Neo4j Bloom – a beautiful and expressive data visualization tool that freely interacts with Neo4j’s graph data platform with no code – has been delighting users ... Read More

Feed: R-bloggers. Author: finnstats. [This article was first published on Methods – finnstats, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. Line Plot in R, this tutorial will show you how to create simple line plots, adjust the axis labels and colors of plots, and create multiple line graphs. Line plots aid in the visualization of time series data. Throughout this lesson, you will see examples of line plots created with the “EUStockMarkets” ... Read More

Feed: Top Blog Posts. Author: John Williams. Today Marketers play the role of advanced and technical matchmakers as their job is to match their target consumers with the products and solutions that best meet their needs or wants. They are also responsible for matching their consumer segments with the content, messaging, creatives, and CTAs that best suits - across all the platforms and channels their audiences are on.  Marketers generally face massive barriers to understand how customers engage with marketing campaigns and where & how to optimize them. Data visualization, preparation, charts, dashboards and stats are the top areas where ... Read More

Feed: Top Blog Posts. Author: John Williams. Today Marketers play the role of advanced and technical matchmakers as their job is to match their target consumers with the products and solutions that best meet their needs or wants. They are also responsible for matching their consumer segments with the content, messaging, creatives, and CTAs that best suits - across all the platforms and channels their audiences are on.  Marketers generally face massive barriers to understand how customers engage with marketing campaigns and where & how to optimize them. Data visualization, preparation, charts, dashboards and stats are the top areas where ... Read More