Interactive map created with Leaflet in R Markdown.

Typically, researchers need to assemble, shape and create different datasets and variables into a useful form for a variety of analyses. In fact, these tasks are often more time-consuming than the analysis itself; and prone to a wide range of errors and inconsistencies. This workshop provides a set of routines to enter, cleanse and manage your data in the most efficient manner in R. Specifically, participants will learn tricks to solve automatically common problems when dealing with panel data, event data and text as data in a transparent and reproducible manner. Moreover, participants will learn about some add on packages that make R powerful in Data wrangling. The course’s length is 3 days. Participants are free to attend either all the days or any combination of days. The first day is devoted to an introduction to R programming, data structure and Rmarkdown. The second day provides a set of tools to solve the most common challenges in data manipulation and data store in a clean and consistent way. The last day shows a handful number of techniques to join multiple data sets together, creation of data joins and manipulate individual characters (e.g. words) within character vectors.

The aim of this project is to analyse the spatial distribution of public transport stops in central Warsaw. The study focuses on the relationship between stop density, spatial accessibility and the simplification of stop data through 200-metre same-mode clustering.

Dokumen ini menyajikan materi Statistika Matematika secara komprehensif, mencakup konsep dasar statistika deskriptif dan inferensia, teori peluang, distribusi diskret dan kontinu, sebaran percontohan, pendugaan parameter, hingga pengujian hipotesis. Setiap topik dilengkapi dengan penurunan rumus secara matematis, contoh soal terstruktur, kode R yang dapat direplikasi, serta visualisasi data menggunakan ggplot2. Cocok digunakan sebagai referensi belajar mandiri maupun pendamping perkuliahan statistika tingkat menengah. Topik: Kaidah Peluang · Dalil Bayes · Distribusi Binomial, Poisson, Normal · Central Limit Theorem · Selang Kepercayaan · Uji Hipotesis

Simple Shiny application for next word prediction created in RStudio.

Dokumen ini menyajikan analisis statistika komprehensif data pernikahan dan perceraian di Jawa Barat periode 2021–2023, mencakup statistika deskriptif, kaidah peluang, distribusi probabilitas, simulasi CLT, hingga uji hipotesis berbasis data publik.