R-bloggers

Excel BI’s Excel Challenge #317 — solved in RDefining the Puzzle:Today we are move single letters from starts to end of words. But with some exceptions.Swap the first and last letter of each words in given names. But if either first or last letter or b...

Excel BI’s Excel Challenge #316 — solved in RDefining the Puzzle:Probably everyone of us have heard of Fibonacci Numbers. It is a sequence that property is that next number is a sum of two previous. But this time ExcelBI asked us to generate… first 20 ...

Introduction In the realm of statistics, a cumulative distribution function (CDF) serves as a crucial tool for understanding the behavior of data. It provides a comprehensive picture of how a variable’s values are distributed across its range. I...

The R-Universe is used by professionals from different fields, although they all pursue the same objective: to offer their R packages in a simple and accessible way. At rOpenSci we work to provide tools that facilitate access to data and research soft...

Overview Sets of graphs arise in many different applications, from medicine to finance, from urban planning to social science. Analysing sets of graphs is far from trivial as they are strongly non Euclidean data type. There are two main sets of gra...

Statistical/Machine Learning with Python and R, using mlsauce's AdaOpt and LSBoost

Hey guys, welcome back to my R-tips newsletter. In today’s R-Tip, I’m sharing how I made my professional data science portfolio in under 15 minutes. Full disclosure: I created a new R package called portfoliodown to streamline the process (and I must s...

Bad Kreuznach, Germany – CC-BY-NC by Billy Wilson Day 4 of 30DayMapChallenge: « Bad map » (previously). A map of all populated places containing the word “Bad” from Geonames. library(tidyverse) library(leaflet) library(httr) library(fs) gn_file leaflet() |__ addCircleMarkers(popup = ~ name) |__ addTiles() Figure 1: Bad map So we have 471 “Bad” populated places…

Did you ever think why we (okay, I’m clearly biased, maybe just many of us, humans) love maps so much? Why do they often work so much better than other types of dataviz? I think1 what makes the maps work is the speed with which we can recognize famil...

Female lynx posing on the dead tree – CC-BY-ND by Tambako The Jaguar Day 3 of 30DayMapChallenge: « Polygons » (previously). Using data from a previous post on lynx occurrences. So we mapped the sightings of lynx, but there are a lot of outliers; how can we map the core habitat of the species? ...

When odds are helpful Ratio of odds (odds ratio) Communicating odds Appendix Ratios and fractions of events Many variables Other problems We grow up learning proportions, percentages, risks, probabilities. You encounter them when a teacher gives a grade on a test or a doctor describes the risk of an illness. ...

Over the course of several weeks, we worked to deploy a one-stop data science platform for data analysis and visualisation for one of our clients. This platform consisted of interconnected applica...

Guadeloupe – CC-BY-SA by SnippyHolloW Day 2 of 30DayMapChallenge: « Lines » (previously). Using data from Openstreetmap we will map the GR G1 trail (fr) crossing Guadeloupe. We could use {osmdata} (see this post), but in this case it’s easier to just grab a GPX file from Waymarked Trail (see the link in ...