Easy web publishing from R

Write R Markdown documents in RStudio.
Share them here on RPubs. (It’s free, and couldn’t be simpler!)

Get Started

Recently Published

Document
assignment module 5 part 1
Reporte - Base Boston
Análisis exploratorio del dataset Boston
REPORTEBOSTON
Document
Kelompok_Teddy-
Tugas Probabilitas dan statistika
Analisis Data dengan Visualisasi dan Statistik - Tugas Pert 3 (Kelompok)
Tugas Pert 3 (Kelompok) Probabilitas dan Statistika, Mochamad Farel Alfarezi (3337250087)
Reporte MD_Boston-AEAM
Análisis Exploratorio de Datos: Boston Housing Dataset Este conjunto de datos contiene información sobre características socioeconómicas y estructurales de diferentes zonas de Boston. El objetivo del análisis es explorar la relación entre el valor de las viviendas y diversas variables como número de habitaciones, criminalidad, nivel socioeconómico e impuestos.
Informe Computo Abraham Gomti
Informe que desarrolla un análisis exploratorio de datos (EDA) sobre el conjunto de datos Boston
Reporte de datos de la base Boston
Es un analisis exploratorio de la base de datos de boston y algunas relaciones entre las variables
San Francisco Larceny Theft 2023
This project analyzes crime data from San Francisco during 2023 using R. The original dataset contained 132,914 rows and 6 columns, including information such as incident ID, datetime, crime category, police district, and geographic coordinates. Sf_crimes2023 For this analysis, the dataset was filtered to include only incidents categorized as “Larceny Theft,” resulting in 38,267 observations. Additional time-based variables were created from the datetime column, including date, month, day of the week, and hour, to better examine patterns in theft incidents. Sf_crimes2023 Three visualizations were created to explore these patterns: theft incidents by hour of the day, daily theft trends throughout 2023, and theft incidents by police district. This analysis helps highlight when and where larceny theft incidents occur most frequently in San Francisco.