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 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.

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

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

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

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

Google Analytics Capstone Project - Bellabeat Smart Watch Analysis.

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

R 语言基础，数据分析， 可视化，生物以及临床医学研究

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

Data Analysis using R

Repo for lab assign. and the final capstone project for CS 631 Data Visualization. Implemented data visualization principles - fonts, text, color theory, gestalt principles using RStudio and Markdown on different datasets

This capstone project is a case study as part of my Google Data Analytics Professional certification by Coursera. In this project I performed the tasks of a junior data analyst for a fictional company called 'Cyclistic'

This project aims to analyze the profitability of products sold in a departmental store during May 2020, a period significantly impacted by the COVID-19 pandemic. By examining sales patterns, customer preferences, and profitability metrics, the objective is to identify which products are more profitable for strategic decision making.

Data scraping, cleaning and visualization of COVID19 in Nigeria