Customer Segmentation using R
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Updated
Jun 12, 2024 - R
Customer Segmentation using R
R package that makes basic data exploration radically simple (interactive data exploration, reproducible data science)
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.
Enjoy your transcriptomic data and analysis responsibly - like sipping a cocktail
Cognifyz Technologies Data Science Internship project on Restaurant Data Analysis to explore insights and build predictive models.
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
This repository is about analyzing the data of Inside Airbnb for the Team Assignment of the course "Data Prep.&Workflow Mgt at Tilburg University ". Analysis to understand the amount of bedrooms per person has a significant effect on ratings or not.
Interactive Shiny application for tidyproteomics
Automate Data Exploration and Treatment
Materi praktikum Talent Scouting Academy (TSA) Kominfo 2023
mde: Missing Data Explorer
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.
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.
Statistical Analysis of Socioeconomic Data for Business insights
Comparing the effects of MDMA and Venlafaxine on Dark Agouti Rats
An overall Analysis of World Cup 2022 using R and Tidyverse
This is an exploration of a dataset of 3 different species of penguins. This was done during my data visualization class.
Examples of text mining and statistical data analysis with R.
Multivariate analysis and statistical modeling (with dimensional reduction) of NYC urban life pathologies
Final Project for the Computational and Graphical Statistics class in Fall 2021
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