Commonly used functions for working with data.
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Updated
Jul 29, 2018 - R
Commonly used functions for working with data.
An User-Friendly Application for Exploratory Factor Analysis
A flexdashboard in R looking at traffic stops in Rhode Island
Exploring the NTSB Aviation Accident Database
Homework task for Advanced Data Mining course at PUT. Cooperating with @Bertt-hub
This project attempts to walk through the lifecycle of a Data Science project.
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…
Using R and machine learning to build a classifier that can detect credit card fraudulent transactions.
Using Decision Tree to predict Employee Attribution
Home to the development of the TREND-DB application
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
Multivariate analysis and statistical modeling (with dimensional reduction) of NYC urban life pathologies
Examples of text mining and statistical data analysis with R.
This is an exploration of a dataset of 3 different species of penguins. This was done during my data visualization class.
An overall Analysis of World Cup 2022 using R and Tidyverse
Comparing the effects of MDMA and Venlafaxine on Dark Agouti Rats
Statistical Analysis of Socioeconomic Data for Business insights
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