During the winter semester 2018/2019 (from November 2018 to January 2019) I lectured at the course "Introduction to Statistics in R" at the Faculty of Philosophy, University of Novi Sad, Serbia. On this page you can find codes used at the course, contact me for handouts, presentations and data sets.

PUBH390R UMass Amherst Fall 2020

This repository covers 4 lessons on Data Wrangling from the USP/ESALQ MBA in Data Science & Analytics course

Data manipulation using R formula

This script analyses the relationship between the Human Development Index (HDI), population, and non-religious groups in various countries. Plots visualise relationships between HDI, population, and non-religious groups and using scatterplots and a linear regression model to predict.

A time series analysis to visualize COVID-19 cases and deaths in each state in Mexico by using ggplot2 with R.

A geographic analysis to visualize a COVID-19 policy in Mexico by using ggplot2 with R to build a cartogram.

Econometrics project that aims to analyze the relationship between Reservoir Water Level and various Power Inequalities in different states of India.

Instructional materials (course files) for the BBT4206 course (Business Intelligence II) using R. Topic: Data Transformation.

Provide a simple and unified interface to COVID-19 latest datasets

Exploratory Data Analysis and Visualization for Human Resources dataset

This repository is a sample code of the data import, data visualization, data transformation and data export in R programming. It also used for a sharing webinar at Future Forum.

Materials for Introduction to use of R in Data Analysis: data cleaning, data exploration and data visualisation. A half-day webinar @ AYS::webinar 2020.

This script, titled "Multiple Regression and Causal Analysis," conducts a series of univariate, bivariate, and multivariate analyses to explore the relationship between government expenditure, gross domestic product (GDP), drug seizures, and the United Nations Drug Control Treaty.

This repository contains the Plant Ecosystem Analysis project, utilizing R to investigate the relationship between native plant species richness and ecological factors within diverse geographical gradients.

A time series analysis to visualize the excess mortality due to COVID-19 in Mexico City by using ggplot2 with R.

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…

A data visualization case study portraying plastic waste in the United States.

Homeworks and R projects for the course Foundations of Data Science

Study: Data Wrangling.