February 2019

In Dev: WiGLE Your Way Into A Hotspot with wiglr

February 18, 2019 | hrbrmstr

WiGLE has been around a while and is a great site to explore the pervasiveness or sparsity of Wi-Fi (and cellular) networks around the globe. While interactive use is fun, WiGLE also has a free API (so long as you obey the EULA and aren’t abusive) that lets you ...
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Installing R using Powershell

February 18, 2019 | tomaztsql

Installing R from scratch and creating your favorite IDE setup is especially useful when making fresh installation or when you are developing and testing out different versions. This blogpost will guide you through some essential steps (hopefully, there will not…Read more ›
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Announcing ‘Just Three Things’

February 17, 2019 | Blog on Credibly Curious

A little while ago I showed Karthik Ram the percent function from scales, and he said something along the lines of: There should be a high quality screencase where someone shows a couple of rstats tricks and thats it. So this is it! I just uploaded a screencast to youtube ...
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Le Monde puzzle [#1085]

February 17, 2019 | xi'an

A new Le Monde mathematical puzzle in the digit category: Given 13 arbitrary relative integers chosen by Bo, Abigail can select any subset of them to be drifted by plus or minus one by Bo, repeatedly until Abigail reaches the largest possible number N of multiples of 5. What is the minimal ...
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Making a map using IELTS Averages in Asia

February 16, 2019 | Home on educatorsRlearners: A blog about education and R

library(tidyverse)
## ── Attaching packages ──────────────────────────────────────────────────────────────────────────────────── tidyverse 1.2.1 ──
## ✔ ggplot2 3.1.0       ✔ purrr   0.3.0  
## ✔ tibble  2.0.1       ✔ dplyr   0.8.0.1
## ✔ tidyr   0.8.2       ✔ stringr 1.4.0  
## ✔ readr   1.3.1       ✔ forcats 0.4.0
## ── Conflicts ─────────────────────────────────────────────────────────────────────────────────────── tidyverse_conflicts() ──
## ✖ dplyr::filter() masks stats::filter()
## ✖ dplyr::lag()    masks stats::lag()
library(spData) library(spDataLarge) library(rvest)
## Loading required package: xml2
## 
## Attaching package: 'rvest'
## The following object is masked from 'package:purrr':
## 
##     pluck
## The following object is masked from 'package:readr':
## 
##     guess_encoding
library(tmap) world %__% filter(subregion %in% c("Eastern Asia", "South-Eastern Asia")) -__ east_asia tm_shape(east_asia, projection = 3857) + tm_polygons(col = "lifeExp", n = 5) + tm_layout(title = "EAAST",inner.margins = c(0.1, 0.02, 0.05, 0.02)) + tm_scale_bar() #loads ...
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Query Generation in R

February 16, 2019 | John Mount

R users have been enjoying the benefits of SQL query generators for quite some time, most notably using the dbplyr package. I would like to talk about some features of our own rquery query generator, concentrating on derived result re-use. Introduction SQL represents value use by nesting. To use a ...
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