This is my last assignment for this summer class, and I’m excited to share my progress. It’s been a busy season, but a rewarding one, and as I wrap up this course, I know the learning journey will continue well beyond this summer. For this assignment, I was drawn to the IBM HR Analytics Attrition […]
Module # 3 Assignment This week’s assignment allowed me to deepen my understanding of Python’s functions and core data structures in a hands-on and rewarding way. I enjoyed writing custom functions with different types of arguments, practicing return values, and exploring how to call functions using loops and keyword inputs. What really stood out to […]
This week, I had the opportunity to create the foundation of my first R package as part of Module #10 in Dr. Friedman’s class. The assignment focused on understanding the structure of an R package and writing a complete DESCRIPTION file—an essential component that documents a package’s metadata and dependencies. I named the package Friedman, […]
Input/Output, string manipulation and plyr package Please 📂 Check out my full code on GitHub! Dataset: This assignment gave me a deeper understanding of how R handles data types and why the right approach matters. My first challenge was realizing that getting the average by the Student gender using the command mean(Sex) didn’t work because [Sex] […]
Hello! This post explores matrix operations in R, specifically focusing on: Let’s dive into hands-on R coding and learn how these fundamental concepts power data transformations!NOTE: 📂 Check out my full code on GitHub! 1. Matrix Addition and Subtraction We start by defining two matrices: # Define matrices A and B A <- matrix(c(2, 0, 1, […]
Lessons from Module 4 This module was all about structured programming in R, and honestly, it made life easier. Instead of messy, repetitive code, we used functions to simplify our workflow, making everything clean, reusable, and scalable. The case study? A hospital dataset where we analyzed blood pressure (BP) readings and doctor assessments. Here’s what […]
Hello again! This week, we are exploring Data Frames in R. According to The Art of R Programming (Matloff, p. 35), “A data frame in R is a list, with each component of the list being a vector corresponding to a column in our ‘matrix’ of data.” What is a Data Frame? A matrix is […]
This week’s assignment was an excellent exercise to understand how to visualize Part-to-Whole data. The data set given has two columns: Average Position and Time.I will visualize this small dataset using Plot.ly. Here is a little snip of the data. Let’s start graphing: Given the data set, a line graph is a suitable way to […]
Happy Sunday! In this week’s assignment, I am exploring spatial data visualization, using geographic maps to illustrate 2020 census data on Electric Vehicles (EVs) by state. The dataset I am working with was sourced from Kaggle and provides insights into two types of electric vehicles: Battery Electric Vehicles (BEVs) and Plug-in Hybrid Electric Vehicles (PHEVs), […]
Everyday Stat, Analytics & Python 