Convenience Functions for Manipulating Datetimes

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

Repo for material relating to the RStudio Instructor Training teaching exam

Package R contenant un tutoriel learnr dédié à l'apprentissage des bases du package de gestion des dates lubridate

R 语言基础，数据分析， 可视化，生物以及临床医学研究

GIS and R Project: Crime Analysis in Chapel Hill, North Carolina for 2018 to 2020

This is a web application for Netflix stock price prediction developed using R and Shiny (R library for building beautiful dashboards).

R project. Output: a Rshiny web app that analyzes thousands of Airbnb France data (Paris, Lyon, Bordeaux). Skills: web app design (Rshiny), data cleaning and preparation (dplyr, lubridate), data visualization (ggplot2), maps (leaflet) and kmeans clustering.

A collection of scripts used in three years of geospatial and human geographical projects equity- and environment-related impacts of trends in transportation.

Google Analytics Capstone Project - Bellabeat Smart Watch Analysis.

In this project, an analysis of the investment process of the investor will be carried out. Data exploration, Data manipulation, Analysis of the investment process, Analyze the time until the first investment and Invest retention analysis

A set of scripts to process stacked IO graphs for Wireshark data

Data Science Demo Programs in R

Data Analysis using R

How to apply tidyverse skills to manipulate data in R

Analysis of bike-share usage patterns for Cyclistic, conducted in R using the tidyverse, lubridate, and ggplot2 packages. This project examines how annual members and casual riders differ in their utilization of Cyclistic bikes, focusing on ride frequency, timing, and duration.

An interactive Sales Dashboard built in R using Shiny, designed to analyze and visualize supermarket sales data across branches. It provides powerful insights into customer behavior, product performance, and revenue trends using clean and elegant visualizations.

Analyze your Twitter archive and explore some aspects of your tweeting behavior. When do you tweet, how much do retweet people, do you use hashtags and much more

Analyzed data on a bike sharing company to provide insights to convert casual user to members - those with a supscription

Series of codes to extract some information from books and recorded earthquakes written in R.