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DATA 3210 Assignment 2
Question 1 library(readr) HR_comma_sep <- read_csv("~/Documents/DATA 3210 3/HR_comma_sep.csv") ## Rows: 14999 Columns: 10 ## ── Column specification ──────────────────────────────────────────────────────── ## Delimiter: "," ## chr (2)...
236 sym R (489 sym/2 pcs)
Data 3210 - Assignment 2
Question 1 library(readr) HR_comma_sep <- read_csv("~/Documents/DATA 3210 2/HR_comma_sep.csv") ## Rows: 14999 Columns: 10 ## ── Column specification ──────────────────────────────────────────────────────── ## Delimiter: "," ## chr (2)...
236 sym R (489 sym/2 pcs)
Consulting Week 01
What is Analytical Consulting? Intersection of data analysis and business consulting Uses data-driven insights to solve business problems Combines statistical analysis, predictive modeling, and business acumen Growing Importance: Digital transformation across industries Increasing availability of big data Need for data-driven decision making Th...
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Data Structures in R
Introduction This document provides an overview of common data structures in R, including vectors, matrices, data frames, lists, factors, and arrays. Vectors Vectors are one-dimensional arrays that can hold elements of the same data type. # Numeric vector num_vec <- c(1, 2, 3, 4, 5) print(num_vec) ## [1] 1 2 3 4 5 # Character vector char_vec <- c(...
1014 sym