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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(...
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Data Types
Introduction Data types are an essential concept in any programming language. They define the kind of data that can be stored and manipulated within a program. In R, the primary data types are Numeric, Integer, Character, Logical, Complex, and Factor. This document provides an overview of each data type along with examples. Numeric The numeric dat...
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Assignment 1
Description Install R and RStudio on your computer. You can find both downloads at: https://posit.co/download/rstudio-desktop/ Acceptance Criteria After installing R and RStudio, open RStudio and take a screenshot and upload it to Blackboard. Data N/A Points 1...
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Assignment 2
Description Import the data HR_comma_sep.csv List each variable and their data types (you can do this as a comment using a ‘#’) List each variable and their variable types (you can do this as a comment using a ‘#’) Acceptance Criteria Upload a complete screenshot of your RStudio session on Blackboard. Your code and console should be visib...
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Variable Types
Introduction In data analytics, understanding the types of variables is crucial as it informs the choice of analytical methods and techniques. This document outlines the primary types of variables: Numeric, Categorical, Ordinal, and Binary, along with examples of each. Numeric Variables Numeric variables represent quantitative data that can be mea...
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HR analysis
The Data ## satisfaction_level last_evaluation number_project average_montly_hours ## Min. :0.0900 Min. :0.3600 Min. :2.000 Min. : 96.0 ## 1st Qu.:0.4400 1st Qu.:0.5600 1st Qu.:3.000 1st Qu.:156.0 ## Median :0.6400 Median :0.7200 Median :4.000 Median :200.0 ## Mean :0.6128 Mean :0....
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