Speed Up Exploratory Data Analysis (EDA)
R and Data Files from my YouTube Channel
Measurement invariance explorer - R package to explore measurement invariance
A package to analyse and explore Spatial Transcriptomics data based on geocomputational methods of spatial data analysis.
Big Data Implementations - Quantitative_Research
Análisis y visualización de Datos con R de algunas de las tv series más populares. Datos extraídos de IMDb por Web Scraping
Exploratory analysis of weather data for Warsaw, Poland through years 2004-2019.
EDA is a must to do step in the data science workflow. Working on data, wrangling & transforming them is time consuming, and it determine the success degree of the next steps (pre preocessing, modelling, communicating outputs & decision making). This repo will show you how to perform EDA in R using the tidyverse ecosystem, and will introduce a c…
DC Comics vs Marvel Comics - Exploratory Data Analysis and Data Visualization with R. Who has the smartest, strongest, fastest, or most powerful hero or villain? How to answer this and more questions with R
As part of this project, we have used Regression Analysis on top of a panel data on Guns in USA to determine the "Effect of Shall-Carry Law on Violence Rate and Incarceration Rate in United States".
This repository contains exploratory spatial data analysis (ESDA) functions and scripts. These functions are designed for geothermal spatial datasets, and are applicable to other spatial datasets.
Second course project for Coursera course Rep Research Analysis uses NOAA data
Estatística de dados físicos e mecânicos de madeira
Functions to save time when doing EDA.
Implementation of data exploration using ggplot, data visualization and machine learning algorithms for predictive modelling.
Repository to support my classmates with their Master's Thesis project at BMB-DU.
Plotting Assignment 1 for Exploratory Data Analysis
Exploratory Data Analysis (EDA) on baseball statistics using correlation analysis to identify factors influencing home runs, trend analysis for batting averages, and clustering techniques to categorize player performance levels.
This work is an exploratory data analysis on General Social Survey data, with statistical inferences and visualization using the R language.
Modeling-Oreinted Exploratory Data Analysis - Finally, At a Glance Useful EDA
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