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Category: Data Vizualisation
ConfusionTableR – a package to tidy outputs of confusion matrix objects for storage in databases and row level structures
Feed: R-bloggers. Author: Gary Hutson. I am really excited to announce my beta package and it is now available to download on GitHub. This is my third package I have managed to create. I have many more projects, tutorials and code snippets available on my GitHub site. I hope you find it useful and read below to find out how to install it, work with it and get the most out of it. How to use the package? The package guidance, and installation, can be found on the GitHub site directly, but to install the package follow the below steps: ... Read More
Visualising Rally Route Stages (with help from rayshader and some ecologists…)
Feed: R-bloggers. Author: Tony Hirst. Inspired by some 3D map views generated using the rayshader and rgl R packages, I wondered how easy it would be to render some 3D maps of rally stages. It didn’t take too long to get a quick example up and running but then I started wondering what else I could do with route and elevation data. And it turns out, quite a lot. The result of my tinkerings to date is at rallydatajunkie.com/visualising-rally-stages. It concentrates soley on a “static analysis” of rally routes: no results, no telemetry, just the route. Along the way, it ... Read More
R Package Tracking
Feed: R-bloggers. Author: Gary Hutson. I have recently uploaded my first R package to the CRAN repository, it needs an additional revision, but it is now there. I wanted to know how many downloads it has had since its release on CRAN last month. I thought shall I write a package, but alas there is one already available. The dlstats package saves the day I was searching on the old Google and I found this lovely package that does just what I need. I have created a small tutorial to show you how to build the small routine needed to ... Read More
Can Smart Data Visualization Help My Business Users?
Feed: Featured Blog Posts - Data Science Central. Author: Kartik Patel. If you want your business users to have access to analytics tools that are easy enough for the average user to understand, you will want to select augmented analytics that are easy to use with guidance and recommendations to help the user achieve the results they want AND help the user understand those results once they finish the analysis. Data visualization can be difficult to understand but the benefits of advanced analytics are readily apparent when a user can leverage smart data visualization tools. These tools provide step-by-step guided ... Read More
Extensive Representation of Contact Tracing with Neo4j in the Canton of Geneva

Feed: Neo4j Graph Database Platform. Author: Enzo. The COVID-19 pandemic has illustrated the importance of network analysis to the world in general. Indeed, the R0 index literally assesses how many people were in close relation to someone else so that they were infected by the index case. In order to control the spread, blocking transmission chains by putting people in isolation or quarantine is vital.Advantages of Graph VisualizationIn this framework, providing an easy interface to visualize data can really help surgeon general offices and public health officers to understand transmission chains and accelerate contact tracing. Indeed, visualizing transmission chains as ... Read More
How to draw a map of arbitrary contiguous regions, or visualizing the spread of COVID-19 in the Greater Region
Feed: R-bloggers. Author: Econometrics and Free Software. Introduction I was able to blog during the year 2020 without mentioning the ongoing pandemic once. It’s not that I made any conscious effort not to talk about it, but I did not really want to do something that had already been done a 1000 times. This changed this year, when I wanted to look at the spread of COVID-19, not only in the Grand-Duchy of Luxembourg, the country I live in, but also among our neighbours. You see, the Grand-Duchy of Luxembourg is like an island, but instead of being surrounded by ... Read More
Visualising stock prices and volume by @ellis2013nz
Feed: R-bloggers. Author: free range statistics - R. Like many people around the world I have been watching the rise and fall of share prices in the US retail chain GameStop with interest. There is plenty of narrative and interpretation of what happened around and time will provide many details that are currently opaque, but here is my brief summary of what happened. This is based purely on what I (as a non-specialist in the field but a sceptical numbers professional) have gleaned from what has appeared in various media: GameStop has had a few non-profitable years, hit hard by ... Read More
Eyes on RT-PCR tests with echarts and french open data — COVID-19
Feed: R-bloggers. Author: Guillaume Pressiat. [This article was first published on Guillaume Pressiat, 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. ShareTweet Data on COVID-19 screening tests for France ; a shared dashboard with calendar and other heatmaps Link for the app: https://guillaumepressiat.shinyapps.io/covid-si-dep This app download daily csv file from french site data.gouv.fr via its api and build heatmaps updated with last day data available. I have moved from ggplotly to echarts4r package ... Read More
This Week in Neo4j – Neo4j Aura Enterprise, HDBSCAN Clustering, Using RDF* with Neo4j

Feed: Neo4j Graph Database Platform. Author: Mark Needham. Hi graphistas, But I’m actually even more excited about Neo4j Aura FREE, which is coming soon. Don’t forget to add yourself to the waiting list to be notified when it’s ready. Our video this week is Emil Eifrem’s presentation at the Open Core Summit. Lju Lazarevic shows off the new features of Bloom 1.5, Nathan Smith implements HDBSCAN Clustering, and Jesús Barrasa shows how to use RDF* with Neo4j. Cheers,
Mark and the Developer Relations team This week’s featured community member is Irfan Nuri Karaca.
Irfan Nuri Karaca – This Week’s ... Read More
Dec 2020: “Top 40” New CRAN Packages
Feed: R-bloggers. Author: R Views. [This article was first published on R Views, 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. One hundred twenty-three new packages made it to CRAN in December. Here are my “Top 40” selections in nine categories: Computational Methods, Data, Genomics, Machine Learning, Medicine, Science, Statistics, Utilities, and Visualization. Computational Methods FKF.SP v0.1.0: Provides a fast and flexible Kalman filtering implementation utilizing sequential processing, designed for efficient parameter estimation ... Read More
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