This project attempts to walk through the lifecycle of a Data Science project.

Interactive Shiny application for tidyproteomics

The given dataset, "Energy20.txt", can be used to create models of energy use of appliances in a energy-efficient house. The dataset provides the Energy use of appliances (denoted as Y) using 671 samples. It is a modified version of data used in the study [1]. The dataset includes 5 variables, denoted as X1, X2, X3, X4, X5, and Y, described as f…

Statistical Analysis of Socioeconomic Data for Business insights

Customer Segmentation using R

Cognifyz Technologies Data Science Internship project on Restaurant Data Analysis to explore insights and build predictive models.

An overall Analysis of World Cup 2022 using R and Tidyverse

This project focuses on analyzing fitness data collected from various tracking devices to gain insights into users' activity levels, sleep patterns, calorie expenditure, and heart rate. The dataset used in this project consists of multiple CSV files, each containing different aspects of fitness-related data.

Homework task for Advanced Data Mining course at PUT. Cooperating with @Bertt-hub

The goal of tabulate is to help you create tabular data in long format.

Final Project for the Computational and Graphical Statistics class in Fall 2021

The web ui (R-Shiny application) for Pheno-Ranker, a tool designed for performing semantic similarity analysis on phenotypic data structured in JSON format, such as Beacon v2 Models or Phenopackets v2

Exploración de datos con R

Comparing the effects of MDMA and Venlafaxine on Dark Agouti Rats

This is an exploration of a dataset of 3 different species of penguins. This was done during my data visualization class.

Este repositório contém arquivos utilizados para o trabalho final da matéria de Metodologia de Pesquisa do curso Técnico em Desenvolvimento de Sistemas da ETE Porto Digital.

Examples of text mining and statistical data analysis with R.

A flexdashboard in R looking at traffic stops in Rhode Island

A business manager of a consumer credit card portfolio is facing the problem of customer attrition. They want to analyze the data to find out the reason behind this and leverage the same to predict customers who are likely to drop off.

Materi praktikum Talent Scouting Academy (TSA) Kominfo 2023