📢 Simplify Data Analysis in R: Easy Summarization Methods! 🚀
Are you an R enthusiast looking to streamline your data analysis? Look no further! Let's explore two fantastic ways to summarize data and gain valuable insights effortlessly! 📊
#DataAnalysis #RStats #DataScience #DataSummarization #SimplifyYourWork #HappyCoding #tapply #r #rstats #dplyr #tibble #summary #opensourcesoftware #opensourcecommunity #technology #innovation
See attached!
Blog Post: https://www.spsanderson.com/steveondata/posts/2023-07-26/
#innovation #Technology #OpenSourceCommunity #opensourcesoftware #summary #tibble #dplyr #r #tapply #HappyCoding #simplifyyourwork #datasummarization #DataScience #RStats #dataanalysis
Are you tired of manually copying and pasting data from multiple sheets in an Excel file? Say no more! In this post, we will show you how to use R programming to read in an Excel file with multiple sheets using a simple function.
Post: https://www.spsanderson.com/steveondata/posts/rtip-2023-04-07/
#data #dataanlysis #excel #readxl #healthyr #r #rstats #opensource #softwaredevelopment #tibble #dplyr
#dplyr #tibble #softwaredevelopment #OpenSource #RStats #r #healthyr #readxl #Excel #dataanlysis #Data
I was recently challenged by a LinkedIn connection to get on with data.table and it was something that was on my radar but now it's got my interest and attention, so onward with it! challenge accepted!
Post: https://www.spsanderson.com/steveondata/posts/rtip-2023-03-07/
#datatable #tidydensty #bernoulli #tibble #tidy #r #rstats #opensourcesoftware #opensource #software #softwareengineering #innovation #technology #distributions #improvement #engineering #data #bigdata #dataanalysis
#dataanalysis #bigdata #Data #engineering #improvement #distributions #Technology #innovation #softwareengineering #Software #OpenSource #opensourcesoftware #RStats #r #tidy #tibble #Bernoulli #tidydensty #datatable
Very modest fix for healthyR.ai to meet requirements from #tibble #RStats #OpenSource
Bombmakare gripen i Kungsängen
En man i 30-årsåldern som misstänks ha konstruerat flera av de bomber som använts i Stockholmsområrdet har gripits vid ett polistillslag på Hallonvägen i Tibble, Kungsängen, Upplands-Bro, utanför Stockholm. Polisen kom mannen på spåren när de utredde de olika sprängningar som ägt rum i Stockholm sen julhelgen.
https://blog.zaramis.se/2023/01/31/bombmakare-gripen-i-kungsangen/
#Brott #Stockholm #Upplands-Bro #Våld #Bomber #Bombmakare #Kungsängen #Tibble
#tibble #kungsangen #bombmakare #bomber #vald #upplands #stockholm #brott
RStats is being weird when I am trying to display a tibble. Fine when it's a Data.Frame, but not a tibble. See pic. Having played about with options(width=200). Could it be something {pillar} related? Any ideas? Thanks. #rstats #tidyverse #tibble #radian
#rstats #tidyverse #tibble #radian
Recently ran into a disturbing #ChatGPT result: I asked it to translate a #python function written by Mathieu Daëron (https://github.com/mdaeron/D47crunch) to #R, using the #tidyverse and a #tibble. I had done this manually for my #rpackage https://github.com/isoverse/clumpedr/ and wanted to see how they would compare.
It returned my code literally, including TODO notes, comments, and #roxygen skeleton. But it did not say where it got the code from, even when pressed. My R package is on #github under #GPL 3. Thoughts?
#gpl #github #roxygen #rpackage #tibble #tidyverse #r #python #chatgpt
Every time I work with data.table I think what a great package. The speed alone is great. What I also like is the tibble-like behavior when displaying data.
@wviechtb they we say use TidyDensity #tidydensity and the function tidy_normal() with .num_sins set to some n and get r, d, p, and q returned in a #tibble all together for nice #tidaydata #tiday #data
#Data #tiday #tidaydata #tibble #tidydensity
There might be times when you may want to get some sort of #summary #statistic like a #quantile or #IRQ on your #distribution data.
With my #r #package {TidyDensity} this is possible given the data comes from a tidy_ distribution function. If you have a vector of data you can use tidy_empirical() as a cheat.
With this function you can get output as #sapply #lapply #tibble or a #tibble where #datatable is doing the work.
Post: https://www.spsanderson.com/steveondata/posts/weekly-rtip-tidydensity-2022-11-23/
See attached!
#datatable #tibble #lapply #sapply #package #r #distribution #irq #quantile #statistic #summary
#RStats #tidyverse is there a way I can get #tibble to stop rounding floats to the nearest integer when printing? Trying to look at aggregates with cent precision. Tried options(pillar.sigfig=2) to no avail. Thoughts? Thanks!
Rule number 1 of #r : never use #tibble or #dataframe if you don't have to. 🤐