Análisis de texto y visualización de datos con R, de conversaciones de WhatsApp, primer parte. Uso de librería rwhatsapp.

Análisis de sentimientos y visualización de datos con R, de conversaciones de WhatsApp, segunda parte. Uso de librería rwhatsapp.

Explore your activity on Spotify with R and "spotifyr": How to analyze and visualize your streaming history and music tastes. Find out how and how much you consume from Spotify, using a copy of your personal data and the "spotifyr" package

Análisis y visualización de datos con R de historial de actividad en Netflix de una cuenta personal. Visualización de maratones de series más vistas y frecuencia de actividad por días, meses y años

The analysis of my Spotify streaming data.

Find out which countries have won the most medals and how the participation of nations has changed over time, with R

R package developed as a companion to the book "R for Plant Disease Epidemiology" (R4PDE).

Wine recommendation/data analysis + visualization R Shiny web app

This analysis is for the Google Data Analytics Capstone Project (Cyclistic).

Análisis y visualización de Datos con R de algunas de las tv series más populares. Datos extraídos de IMDb por Web Scraping

DC Comics vs Marvel Comics - Exploratory Data Analysis and Data Visualization with R. Who has the smartest, strongest, fastest, or most powerful hero or villain? How to answer this and more questions with R

Projects to analyze data using R programming

Data analysis project for People Magazine covers between years of 2014-2022

Analysis of Korean National Forest Inventory in R

Open data and supplementary materials of the article "Workplace stress in real time: Three parsimonious scales for the experience sampling measurement of stressors and strain at work"

An R package. Provides various methods of linear ordering of data. Supports weights and positive/negative impacts.

The repository for all files and code made to analyse all arrests in NYC for the year 2018-19

Data analysis project in R which uncovered neighborhood trends related to vacant and abandoned homes in Baltimore, MD

Plotting traces of different smartphone users.

A data analysis and regression project based on IMDB Data. For analysis and regression various libraries such as dplyr, tidyr and Caret used for Data Analysis and Regression. Data Visualization performed with ggplot2 and Power BI Visualization Tool