Thursday, January 23

Data Science

Oct22018 by TerryNo Comments

Exploring Employee Attrition and Performance with R

Data Science Using R, Data Science
Based on IBM's fictional data set created by their data scientists. Introduction: Employee Attrition is when an employee leaves a company due to normal means, (loss of customers, retirement, and resignation), and there is not someone to fill the vacancy. Can a company identify employee’s that are likely to leave a company? A company with a high employee attrition rate is a good sign of underlying problems and can affect a company in a very negative way. One such way is the cost related to finding and training a replacement, as well as the possible strain it can put on other workers that in the meantime have to cover. Preprocessing: This dataset was produced by IBM and has just under 1500 observations of 31 different variables including attrition. 4 of the variables (EmployeeNumber, Over18
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Sep192018 by TerryNo Comments

Introduction to Data Analysis with R

Data Science, Data Science Using R
Using Basic Data Analysis functions on the mtcars dataset Let's Start # Copying mtcars data frame to our new data frame myCarsmyCars <- mtcars Which car has the highest horsepower (hp) ?  #find and display the car with the highest horsepower index <- which.max(myCars$hp)# Display the car name along with the rest of the row myCars[index,] ##                mpg cyl disp hp drat  wt  qsec vs am  gear carb ## Maserati Bora  15   8  301 335 3.54 3.57 14.6  0  1    5    8 Maserati Bora has the highest horsepower at 335 Exploring miles per gallon (mpg) of the cars # find and display the car with the highest mpgind...
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Sep192018 by Terry1 Comment

Manipulating Data Frames in R

Data Science Using R, Data Science
Learn To Manipulate Data Frames Using The “mtcars” Dataset Below is an introduction to programming with r, all code in this exercise is only using base r and no other libraries are needed. Task 1: Create a new column to find Displacement per Cylinder  Create a new variable (DisplacementPerCylinder), to calculate the total displacement per cylinder in cubic inches for each vehicle from the mtcars dataset. # "str" allows you to display the internal structure of an R object str(mtcars) ## 'data.frame': 32 obs. of 11 variables: ## $ mpg : num 21 21 22.8 21.4 18.7 18.1 14.3 24.4 22.8 19.2 ... ## $ cyl : num 6 6 4 6 8 6 8 4 4 6 ... ## $ disp: num 160 160 108 258 360 ... ## $ hp : num 110 110 93 110 175 105 245 62 95 123 ... ## $ drat: num 3.9 3.9 3.85 3.08 3
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