Analyze the data from the provided Hospital Data Set (linked below) and identify current and future trends and patterns in operations.

Descriptive Analysis: Open a new Excel file and title it Data Analysis Workbook. In the workbook, create a sheet titled P1_Descriptive Analysis. Present descriptive statistics (mean, median, standard deviation, and range) in a table for four attributes from the data set.
Analyze the current hospital data to identify trends and patterns in hospital admissions and costs.
Admission Trends and Charts: Create a sheet titled P1_Admission Trends in your Data Analysis Workbook. Then, create two pie charts and two column/bar charts.
For Pie Chart #1: One slice should be labeled Admissions. Choose another attribute for the second slice. For Pie Chart #2, both slices can be attributes of your choice.
For the two column/bar charts: Ensure that one column is titled Admissions for both charts. Choose a different attribute for the other column.
Expense Trends and Charts: Create a sheet titled P1_Expense Trends in your Data Analysis Workbook. Then, create two column charts and two line charts.
For the two column/bar charts: Ensure that one column is titled Expense for both charts. Choose a different attribute for the other column.
For Line Chart #1, one of the lines should represent Expense; choose another attribute for the second line. For Line Chart #2, both lines can represent attributes of your choice.
Outliers: Identify any outliers that you see and explain how they have an impact on the overall admission and expense trends. Outliers are the data points that can have an impact on your averages and basic descriptive analysis.
Identify future trends and attributes that impact expenses and admissions by adding new sheets to your Data Analysis Workbook per the descriptions below.
Perform two bivariate regressions to provide recommendations.
For the first bivariate regression, the dependent variable should be Total Expense. Choose an independent variable from one of the remaining attributes.
Create a sheet titled P2_1st_Bivariate_Regression in your Data Analysis Workbook.
For the second bivariate regression, the dependent variable should be Admissions. Choose an independent variable from one of the remaining variables.
Create a sheet titled P2_2nd_Bivariate_Regression in your Data Analysis Workbook.
What would be the right attribute size (independent variable) seems most appropriate to lead you in the expense range of $55–$75 million?
Perform two multivariate regressions to provide recommendations.
For the first multivariate regression, the dependent variable should be Total Expense (the column in the data set). Choose two independent variables from one of the remaining attributes.
Within your Data Analysis Workbook, create a sheet titled P2_1st_Multi_Regression.
Which combination of the attributes seems most appropriate to lead you in the expense range of $55–$75 million?
For the second multivariate regression, the dependent variable should be Admissions (the column name in the data set). You should choose two independent variables from one of the remaining attributes.
Within your Data Analysis Workbook, create a sheet titled P2_2nd_Multi_Regression.
Which combination of the attributes would seem appropriate that would lead you in the expense range of $55–$75 million?
Part 2: Final Recommendation Analysis PowerPoint Presentation
Create a presentation designed for senior management and the board of directors to share the results of your analysis and provide your final recommendation.