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Aoibhín Laverty

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Assignment 6 - Data Visualization & Communication
BANL 6310 - Data Visualization & Communication (Fall 2024): Sankey Diagram Tasks 1. Using the Sankey_Data.csv dataset, create a snakey diagram. 2. Write an interpretation
Assignment 5 - Data Visualization & Communication
BANL 6310 - Data Visualization & Communication (Fall 2024): Area Charts and Bubble Plots Tasks: 1, Using the MakeupDB.xlsx dataset, create an area plot showing Months, Dollars and Product. 2. Using the Sales by Region.xlsx dataset, create a bubble chart showing the Number of Products,, Percentage of Market Share, Sales, Sales Region
Assignment 4 - Data Visualization & Communication
BANL 6310 - Data Visualization & Communication (Fall 2024): Line and Scatter Plots: 1. Using the McDonals.xlsx dataset, create scatter plot that depicts the relationship between Average Frequency and Income. 2. Using the Dow.xlsx dataset, create a line chart that depicts the average return (y axis) by month (x axis).
Assignment 3 - Data Visualization & Communication
BANL 6310 - Data Visualization & Communication (Fall 2024): Pie Charts Tasks 1. Using the HR_comma_sep dataset, create a pie chart for the variable sales. 2. Using the HR_comma_sep dataset, create a pie chart for the variable salary
Assignment 1 - Data Mining for Business Intelligence
BANL 6625 - Data Mining for Business Intelligence (Fall 2024) Using Cars.csv dataset, utilize knowledge of R coding for data mining to clean, explore, and visualize data. Perform data preprocessing, calculate descriptive statistics, and create meaningful visualizations.
Assignment 2 - Data Visualization & Communication
BANL 6310 - Data Visualization & Communication (Fall 2024) Box Plots & Heat Map - Data: HR_comma_sep.csv 1. Create a Box Plots for employee satisfaction and last evaluation, each broken out by the variable left. 2. Create a correlogram, for the continuous variables.
Assignment 1 - Data Visualization & Communication
BANL 6310 - Data Visualization & Communication (Fall 2024) Histograms and Bar Plots - Data: HR_comma_sep.csv 1. Create a histogram for employee satisfaction and last evaluation. 2. Create a bar plot for the average satisfaction of employees by the variable that indicates whether they left of stayed at the company.