Question Answered step-by-step A nurse introduces herself to a new mental health client and… A nurse introduces herself to a new mental health client and explains her role in the client’s care. During subsequent interactions, the client asks for assistance in ways that the nurse thinks are beyond the scope of her role or the therapeutic situation. At times, the client seems to misunderstand the nurse’s communication. Also, she repeatedly asks the nurse to provide her with detailed suggestions on how to solve her issues. How should the nurse handle this situation? Health Science Science Nursing NURS M101 Share QuestionEmailCopy link Comments (0)

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Question Answered step-by-step A nurse introduces herself to a new mental health client and… A nurse introduces herself to a new mental health client and explains her role in the client’s care. During subsequent interactions, the client asks for assistance in ways that the nurse thinks are beyond the scope of her role or the therapeutic situation. At times, the client seems to misunderstand the nurse’s communication. Also, she repeatedly asks the nurse to provide her with detailed suggestions on how to solve her issues. How should the nurse handle this situation? Health Science Science Nursing NURS M101 Share QuestionEmailCopy link Comments (0)

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Description Project BackgroundThe learning objective of this module is to introduce you to data analytics which employers consistently tell us are important to new accountants. We will be using an EY-developed case, Implementing the DuPont Method, which I have edited for ACCT 3371. A key purpose of financial statements is to provide useful information to decision makers, including investors. Investors can use the information contained in financial statements to better understand company performance so they can make better investment decisions. One introductory framework that has been especially useful in understanding company performance is the DuPont Method (sometimes called DuPont Analysis, DuPont Model or DuPont Framework).To understand the DuPont Method, it helps to use an analytics mindset. For this case, we (1) define an analytics mindset, (2) discuss the history of and ratios involved in the DuPont Method and (3) use the DuPont Method to perform data analytics and data visualization techniques. Project DetailsFor this case, you will implement an analytics mindset by comparing and contrasting different companies within different industries using the accounting ratios from the DuPont method. Your overall goal is to develop an investment recommendation for an investor.The module has two parts: In Part 1 of the case, you will gain an understanding of a few accounting ratios, which will help you to develop good questions about the companies you are analyzing in Tableau Part 2. Tableau is not needed for this portion of the module. Part 1 is an exercise and is only counted as a completion grade. Therefore, the grade is not used in any grade calculation. Although the grade is not counted, Tableau Part 1 is required. Consequently, if you do not complete it, you will not be eligible for a curve in this class.In Part 2 you will load the data into Tableau, perform some simple tests to verify that you have loaded it correctly, analyze the data, develop an investment recommendation for your investor, and finally, leverage the power of data visualization to present the data so that it can be easily interpreted and understood by your investor.Tableau DescriptionNewGenApp.com describes Tableau as data visualization software used for data science and business intelligence. Tableau can create a wide range of different visualization to interactively present the data and showcase insights. It comes with tools that allow to drill down data and see the impact in a visual format that can be easily understood. Tableau specializes in transforming boring tabulated data into eye-candy graphs and representations. You can easily import data into Tableau’s data engine from multiple sources and integrate them by combining multiple views in an interactive dashboard.Step 1 14Question 1 - total assets 3 Question 2 - count companies 3 Question 3 - companies per industry 3 Question 4 - net revenues per industry 5 Step 2 20Calculate ROE 5 Calculate profit margin 5 Calculate asset turnover 5 Calculate financial leverage 5 Step 3 23Question 1 - Median ROE 4 Question 2 - Median PMR 4 Question 3 - Median AT 4 Question 4 - Dashboard 3 Question 5 - Multiple viz on one sheet (2pts per ratio) 8 Step 4 24Question 1 - student choice 6 Question 2 - student choice 6 Question 3 - student choice 6 Question 4 - student choice 6 Step 5 19Story - opinion well presented and supported by 4 viz 19 Project Total 100 7 attachmentsSlide 1 of 7attachment_1attachment_1attachment_2attachment_2attachment_3attachment_3attachment_4attachment_4attachment_5attachment_5attachment_6attachment_6attachment_7attachment_7.slider-slide > img { width: 100%; display: block; } .slider-slide > img:focus { margin: auto; } Unformatted Attachment Preview Tableau Case Implementing the DuPont Method (For ACCT 3371 I have edited this EY-written case.) Background Information Background: A key purpose of financial statements is to provide useful information to decision makers, including investors. Investors can use the information contained in financial statements to better understand company performance so they can make better investment decisions. One introductory framework that has been especially useful in understanding company performance is the DuPont Method (sometimes called DuPont Analysis, DuPont Model or DuPont Framework). To understand the DuPont Method, it helps to use an analytics mindset. For this case, we (1) define an analytics mindset, (2) discuss the history of and ratios involved in the DuPont Method and (3) use the DuPont Method to perform data analytics and data visualization techniques. Implementing an analytics mindset Having and using an analytics mindset is critical in accounting and business. This case focuses on developing all aspects of your analytics mindset. As a review, an analytics mindset is the ability to: ► Ask the right questions. ► Extract, transform and load relevant data into a data analysis tool. ► Apply appropriate data analytic techniques. ► Interpret and share the results with stakeholders. History and model The DuPont Method has an interesting history. E. I. du Pont de Nemours and Company, or more frequently called DuPont, is the oldest stock in the current Dow Jones Industrial Index. Started in July 1802, the company originally focused on producing gunpowder. Today, the company makes chemicals which are in everything from food ingredients and dietary supplements to pharmaceuticals and fabrics. In addition to developing chemicals, the company has been a pioneer with respect to management accounting systems. The company developed the original accounting ratio of return on equity (ROE) and then in 1912, Donaldson Brown decomposed ROE into additional ratios. ROE measures a company’s profitability as a percentage of shareholder’s equity (i.e., how profitable a company can be using shareholders’ investments.) If ROE is unsatisfactory, the DuPont analysis can identify the aspect of the business that is underperforming. DuPont used this formula for managing its business. In 1914 DuPont invested in General Motors, and using the same basic management accounting formulas, led that company to become the world’s largest automobile company. In 1957, DuPont divested its ownership in General Motors because of antitrust laws. After having been highly useful for both General Motors and DuPont, the basic DuPont Method has been extended and used by many to understand investing and managing businesses. DuPont Formula The DuPont Method has evolved into the following formula: Return on equity = Profit margin ratio * asset turnover ratio * financial leverage ratio Analytics mindset case studies – DuPont © 2016 Ernst & Young Foundation (US). All Rights Reserved. SCORE No. 02050-161US Return on equity: This represents the amount of net income that is generated for each dollar of shareholder’s equity. It can be interpreted as the amount of net income generated for each dollar of value that a shareholder owns of the company. This number can be either negative or positive. Profit margin ratio: This represents the amount of net income that is generated for each dollar of sales. It can be interpreted as the percentage of each dollar of sales that the company retains as earnings. Since net income can be negative, this ratio can be either negative or positive. Asset turnover ratio: This represents the amount of sales that is generated for each dollar of assets the company owns. This is often interpreted as the efficiency of the company—how many sales it can generate given the assets it owns. Except in very unusual circumstances, this ratio is positive. Financial leverage ratio: This represents the amount of assets that is financed by shareholders, as opposed to debt holders. Except in very unusual circumstances, this ratio is positive. Data In your data file, you have financial statement data for approximately 30 companies for each of six different industry groups (total sample size of almost 180 companies). The sheets contain modified financial statement information for fiscal years 2015-2017, inclusive. These companies range in size from some of the largest to the smallest in their respective industry groupings. For this case, you will not be using all data items. The items you are most likely to use are listed by the name they appear in the spreadsheet with a small explanation also provided. ► Industry: One of six industry groupings as defined by Nasdaq.com. 1 Industries included in the sample are capital goods, consumer services, finance, public utilities, technology, and transportation. ► Name: The name of the company for each line of data. ► Net income: The bottom line number on the income statement. This is the final net income number of the company for the fiscal year. ► Total Sales: The top line number on the income statement. This represents total revenues (less a few items that you can ignore for this case) earned by the company in the fiscal year. ► Ticker: The code used to identify each company on the NASDAQ stock exchange. Each company has their own unique ticker symbol. ► Total assets: The total assets of a company at the end of the fiscal year. This number appears on the balance sheet. ► Total shareholder equity: The total shareholder equity of a company at the end of the fiscal year. This number appears on the balance sheet and also can be called stockholder’s equity. ► Year: The fiscal year being reported on the financial statements. For example, a year of 2015, means the balance sheet of the company is as of the last day of their fiscal year in 2015 (usually December 31st) and the income statement for all transactions that occurred during the fiscal year. 1 See http://www.nasdaq.com/screening/companies-by-industry.aspx for industry groupings. Analytics mindset case studies – DuPont © 2016 Ernst & Young Foundation (US). All Rights Reserved. SCORE No. 02050-161US Tableau Download Instructions We will use Tableau Desktop in this class, not Tableau Prep. You only need to download and install Tableau Desktop. Tableau Desktop runs on both Windows and Mac computers. 1. Go to https://www.tableau.com/tft/activation. Click on Download Tableau Desktop. 2. When prompted, enter your UH email address for Business E-mail and enter University of Houston for Organization. Click Download Free Trial. 3. Install the Tableau Desktop software and complete the registration. • Enter University of Houston for organization • Enter accounting, finance or something similar for department • Enter student or analyst for job role • Enter state, country zip and phone number • Click “Activate Tableau” at the top of the screen. 4. Activate with your product key: TCN6-3034-E510-3929-F5D0. If you clicked Trial instead of Activate Tableau, open Tableau and follow the menu path Help > Manage Product Keys > Activate Information from Tableau: Students can continue using Tableau after the class is over by individually requesting their own one-year license through the Tableau for Students program. Tableau Download Instructions We will use Tableau Desktop in this class, not Tableau Prep. You only need to download and install Tableau Desktop. Tableau Desktop runs on both Windows and Mac computers. 1. Go to https://www.tableau.com/tft/activation. Click on Download Tableau Desktop. 2. When prompted, enter your UH email address for Business E-mail and enter University of Houston for Organization. Click Download Free Trial. 3. Install the Tableau Desktop software and complete the registration. • Enter University of Houston for organization • Enter accounting, finance or something similar for department • Enter student or analyst for job role • Enter state, country zip and phone number • Click “Activate Tableau” at the top of the screen. 4. Activate with your product key: TCN6-3034-E510-3929-F5D0. If you clicked Trial instead of Activate Tableau, open Tableau and follow the menu path Help > Manage Product Keys > Activate Information from Tableau: Students can continue using Tableau after the class is over by individually requesting their own one-year license through the Tableau for Students program. Tableau Case Implementing the DuPont Method (For ACCT 3371 I have edited this EY-written case.) Background Information Background: A key purpose of financial statements is to provide useful information to decision makers, including investors. Investors can use the information contained in financial statements to better understand company performance so they can make better investment decisions. One introductory framework that has been especially useful in understanding company performance is the DuPont Method (sometimes called DuPont Analysis, DuPont Model or DuPont Framework). To understand the DuPont Method, it helps to use an analytics mindset. For this case, we (1) define an analytics mindset, (2) discuss the history of and ratios involved in the DuPont Method and (3) use the DuPont Method to perform data analytics and data visualization techniques. Implementing an analytics mindset Having and using an analytics mindset is critical in accounting and business. This case focuses on developing all aspects of your analytics mindset. As a review, an analytics mindset is the ability to: ► Ask the right questions. ► Extract, transform and load relevant data into a data analysis tool. ► Apply appropriate data analytic techniques. ► Interpret and share the results with stakeholders. History and model The DuPont Method has an interesting history. E. I. du Pont de Nemours and Company, or more frequently called DuPont, is the oldest stock in the current Dow Jones Industrial Index. Started in July 1802, the company originally focused on producing gunpowder. Today, the company makes chemicals which are in everything from food ingredients and dietary supplements to pharmaceuticals and fabrics. In addition to developing chemicals, the company has been a pioneer with respect to management accounting systems. The company developed the original accounting ratio of return on equity (ROE) and then in 1912, Donaldson Brown decomposed ROE into additional ratios. ROE measures a company’s profitability as a percentage of shareholder’s equity (i.e., how profitable a company can be using shareholders’ investments.) If ROE is unsatisfactory, the DuPont analysis can identify the aspect of the business that is underperforming. DuPont used this formula for managing its business. In 1914 DuPont invested in General Motors, and using the same basic management accounting formulas, led that company to become the world’s largest automobile company. In 1957, DuPont divested its ownership in General Motors because of antitrust laws. After having been highly useful for both General Motors and DuPont, the basic DuPont Method has been extended and used by many to understand investing and managing businesses. DuPont Formula The DuPont Method has evolved into the following formula: Return on equity = Profit margin ratio * asset turnover ratio * financial leverage ratio Analytics mindset case studies – DuPont © 2016 Ernst & Young Foundation (US). All Rights Reserved. SCORE No. 02050-161US Return on equity: This represents the amount of net income that is generated for each dollar of shareholder’s equity. It can be interpreted as the amount of net income generated for each dollar of value that a shareholder owns of the company. This number can be either negative or positive. Profit margin ratio: This represents the amount of net income that is generated for each dollar of sales. It can be interpreted as the percentage of each dollar of sales that the company retains as earnings. Since net income can be negative, this ratio can be either negative or positive. Asset turnover ratio: This represents the amount of sales that is generated for each dollar of assets the company owns. This is often interpreted as the efficiency of the company—how many sales it can generate given the assets it owns. Except in very unusual circumstances, this ratio is positive. Financial leverage ratio: This represents the amount of assets that is financed by shareholders, as opposed to debt holders. Except in very unusual circumstances, this ratio is positive. Data In your data file, you have financial statement data for approximately 30 companies for each of six different industry groups (total sample size of almost 180 companies). The sheets contain modified financial statement information for fiscal years 2015-2017, inclusive. These companies range in size from some of the largest to the smallest in their respective industry groupings. For this case, you will not be using all data items. The items you are most likely to use are listed by the name they appear in the spreadsheet with a small explanation also provided. ► Industry: One of six industry groupings as defined by Nasdaq.com. 1 Industries included in the sample are capital goods, consumer services, finance, public utilities, technology, and transportation. ► Name: The name of the company for each line of data. ► Net income: The bottom line number on the income statement. This is the final net income number of the company for the fiscal year. ► Total Sales: The top line number on the income statement. This represents total revenues (less a few items that you can ignore for this case) earned by the company in the fiscal year. ► Ticker: The code used to identify each company on the NASDAQ stock exchange. Each company has their own unique ticker symbol. ► Total assets: The total assets of a company at the end of the fiscal year. This number appears on the balance sheet. ► Total shareholder equity: The total shareholder equity of a company at the end of the fiscal year. This number appears on the balance sheet and also can be called stockholder’s equity. ► Year: The fiscal year being reported on the financial statements. For example, a year of 2015, means the balance sheet of the company is as of the last day of their fiscal year in 2015 (usually December 31st) and the income statement for all transactions that occurred during the fiscal year. 1 See http://www.nasdaq.com/screening/companies-by-industry.aspx for industry groupings. Analytics mindset case studies – DuPont © 2016 Ernst & Young Foundation (US). All Rights Reserved. SCORE No. 02050-161US Tableau Download Instructions We will use Tableau Desktop in this class, not Tableau Prep. You only need to download and install Tableau Desktop. Tableau Desktop runs on both Windows and Mac computers. 1. Go to https://www.tableau.com/tft/activation. Click on Download Tableau Desktop. 2. When prompted, enter your UH email address for Business E-mail and enter University of Houston for Organization. Click Download Free Trial. 3. Install the Tableau Desktop software and complete the registration. • Enter University of Houston for organization • Enter accounting, finance or something similar for department • Enter student or analyst for job role • Enter state, country zip and phone number • Click “Activate Tableau” at the top of the screen. 4. Activate with your product key: TCN6-3034-E510-3929-F5D0. If you clicked Trial instead of Activate Tableau, open Tableau and follow the menu path Help > Manage Product Keys > Activate Information from Tableau: Students can continue using Tableau after the class is over by individually requesting their own one-year license through the Tableau for Students program. Tableau Reference Guide Contents Connect to Your Source Excel Data – Join............................................................................................... 2 Introduction to Tableau Workspace .......................................................................................................... 4 Total a Single Data Measure ..................................................................................................................... 5 “Show Me” Button is Missing .................................................................................................................. 5 Count the Entries in a Dimension ............................................................................................................. 5 Count Entries in a Dimension based on a Second Dimension .................................................................. 6 Show Captions for a Worksheet................................................................................................................ 6 Sum/Average a Measure based on a Dimension ....................................................................................... 7 Add Color to a Visualization .................................................................................................................... 7 Move a Color Legend ............................................................................................................................... 8 Sorting Data .............................................................................................................................................. 9 Change the Type of Visualization............................................................................................................. 9 Resize a Visualization ............................................................................................................................... 9 Labels are Not Showing for All Bars ...................................................................................................... 10 Create a Calculated Field ........................................................................................................................ 10 Create a Calculated Field to RANK Items .............................................................................................. 11 Show Multiple Graphs on One Visualization ......................................................................................... 11 Add a Filter to any Visualization ............................................................................................................ 12 Set Default Measure Format ................................................................................................................... 14 Format Numbers on an Axis or in a Pane ............................................................................................... 15 Create a Dashboard ................................................................................................................................. 15 Create a Story.......................................................................................................................................... 16 Increase size of Caption Box on Story Point .......................................................................................... 17 Save your file as a Tableau Package ....................................................................................................... 18 1 Connect to Your Source Excel Data – Join Use a join when you need to connect two data files that have different fields and you want to combine them into one large dataset. For example, a master file and a transaction file. You must specify which field will be used to perform the join (i.e. how you will connect the two files). Step 1 Start Tableau. If the Connect window does not appear, go to Data Source tab at the bottom of the screen. Under Connect, select a file or database type and browse to find the file. Step 2 Drag the first dataset to the workspace on the right of the screen. Specify Live (provides real-time updates as source data changes) or Extract (snapshot of the data, no updates of source data changes) as needed. Step 3 Tableau has several ways to connect dataset, relationships, joins, unions. When you complete your homework, you need to use a join and not a relationship. To create a join instead of a relationship, double-click on the first table. There will be a blue line on the left side of the first table box. Drag the second dataset to the right of the first table and a Venn diagram will appear. If the files are large, this could take some time, so be patient. If you have a red triangle or a plain line between your two tables instead of a Venn diagram, then you are incorrectly using a relationship. To correct the problem, remove the second table. Click the drop down arrow in the right side of the second table box and select Remove. 2 Step 4 To edit the basic join to fit your data analysis needs, click on the Venn diagram. Remember you can have multiple join clauses. For example, you may need to join on both order ID and region. To add another join clause, click “Add new join clause” and pick the relevant field in both data sources. You then select the join type. Join Type Inner Result When you use an inner join to combine tables, the result is a table that contains values that have matches in both tables. Left When you use a left join to combine tables, the result is a table that contains all values from the left table and corresponding matches from the right table. When a value in the left table doesn't have a corresponding match in the right table, you see a null value in the data grid. Right When you use a right join to combine tables, the result is a table that contains all values from the right table and corresponding matches from the left table. When a value in the right table doesn't have a corresponding match in the left table, you see a null value in the data grid. Full outer When you use a full outer join to combine tables, the result is a table that contains all values from both tables. When a value from either table doesn't have a match with the other table, you see a null value in the data grid. 3 Description Introduction to Tableau Workspace Now that you have your data, you are ready to begin building visualizations. Each visualization is a separate sheet which looks a little like a blank pivot table in Excel. Here are some key terms • Sheet: A sheet is a singular chart or map in Tableau. • Workbook: A workbook is the entire Tableau file containing your sheets, stories and dashboards. • Measure: A variable from the data on which math can be performed (sum, average, and so on). Measures are often continuous data. Examples include GPA, sales, quantity, quota, height, and salary. • Dimension: A categorical variable from the dataset that is used to slice and dice the data into different categories. Dimensions are often discrete data. Examples include country, gender, student ID, and name. • Filter: A filter is used to limit what data is being displayed on the sheet. Visible controls for a filter on a sheet or dashboard are called Quick Filters. • Tooltip: Tooltips are text boxes that appear when hovering over a mark on a sheet in order to give more information. The text and text formatting in them are easily edited through the Marks card. • Marks card: The Marks card is the tool used to create a sheet that controls most of the visual elements in a sheet. Using the Marks card, you can switch between different chart types (bar, line, symbol, filled map, and so), change colors and sizes, add labels, change the level of detail, and edit the tool tips. • Rows and Columns Shelves: The Rows shelf and the Columns shelf is where you determine which variables will go on what axis. Put data you want displayed along the X-axis on the Columns shelf and data you want displayed on the Y-axis on the Rows shelf. • Dashboard: A dashboard is a canvas for displaying multiple sheets at a time and allowing them to interact with each other. 4 Total a Single Data Measure Step 1 Go to a new sheet. Drag the measure to data portion of the sheet. “Show Me” Button is Missing Step 1 The Show Me” button should appear in the upper right side of the screen. If it is missing, press CNTRL-1 (control and one). Count the Entries in a Dimension Step 1 Go to a new sheet. Drag the dimension to row tray of the sheet. Step 2 Click the drop down menu on the right side of the name. Click on Measure and then select the appropriate count function. COUNT will count all entries. COUNT(DISTINCT) will count unique entries. 5 Step 3 Click on Label in the Marks card to display the count number. Click in the Show Marks Label square. Count Entries in a Dimension based on a Second Dimension Step 1 For example, if you want to count customers by region, drag the first dimension to the row tray and the second to the column tray. Step 2 Click the drop down menu on the right side of the name. Click on Measure and then select the appropriate count function. COUNT will count all entries. COUNT(DISTINCT) will count unique entries. Step 3 Click on Label in the Marks card to display the count number. Click in the Show Marks Label square. Show Captions for a Worksheet Step 1 Menu Path: Worksheet>Show Caption. Step 2 The caption will appear below the viz. Click the caption box and drag it to below the column and row shelves. 6 Sum/Average a Measure based on a Dimension Step 1 For example, if you want to sum profit by region, drag the dimension to the row or column tray and the measure to the other tray. Step 2 Click the drop down menu on the right side of the name. Click on Measure and then select the appropriate function. Step 3 Click on Label in the Marks card to display the count number. Click in the Show Marks Label square. Add Color to a Visualization Step 1 After creating the basic visualization, drag the item you want to color to the Color button on the Marks shelf. 7 Move a Color Legend Step 1 By default Tableau puts the color legend in the upper right corner of the screen which is not always convenient. You can move it to another part of the screen by clicking on the top of the legend and dragging it to a new location. Before: After: 8 Sorting Data Step 1 Place the cursor over the axis on which you wish to sort the data. A Sort Icon will appear Step 2 Click the sort icon that appears. One click sorts the data in ascending order. Two clicks sorts it in descending order. Three clicks clears the sort. Change the Type of Visualization Step 1 After creating the basic visualization, click the Show Me button on the far right side of the screen to see different visualization ideas. You will see the name of the visualization at the bottom of the pop-up menu. Resize a Visualization Step 1 Place the cursor over the axis on which you wish to resize the visualization. Brackets will appear on both ends of the axis. 9 Step 2 Place the cursor on the right side bracket and drag to the left. Labels are Not Showing for All Bars Step 1 If the visualization does not show all row labels, expand the height of the chart by putting cursor on the x-axis, click and drag down to increase the height until the labels appear. Before: After: Create a Calculated Field Step 1 Menu Path Analysis>Create Calculated Field. Step 2 Enter the name of the new field in the top box. Step 3 Start typing the formula below the line and the field names from the source data will appear. Double click to select the field. Tableau will place brackets around the field names. The calculated field should appear in the Measures area on the lower left of the screen with a small equal sign in front of the name. 10 Create a Calculated Field to RANK Items Step 1 Create a calculated field as described above Step 2 Use the Tableau function RANK RANK(expression, ['asc' | 'desc']) Desc = largest is ranked “1” ASC = smalled is ranked “1” You can then filter on RankByProfit. For example Rank Save as. Step 2 Choose “Tableau Packaged Workbook” from the “Save as Type” drop down menu. 18 Tableau Case – Fall 2020 Implementing the DuPont Method (For ACCT 3371 I have edited this EY-written case.) Part 2 - Creating and Reporting Analytics Extract, transform and load the data (the ETL process) The data for this case was extracted from company financial statements posted online from credible sources, and has been loaded into the Excel file. You can assume that the web scrapper accurately and completely extracted the information and loaded it into Excel. In this part of the case, you will be verifying your data loaded successfully into Tableau. Realize for many situations, extracting, transforming, and loading (ETL) the data can account for over 80 percent of the time in the entire data analysis process. This case simplifies this process so you can focus on developing other aspects of an analytics mindset. Hint: Read the Tableau Reference Guide on Blackboard for help completing this assignment. Step 1 – Load and Verify Source Data Acquire Data Create a folder for your Tableau assignment on your computer or USB drive. If you move between computers, you will need to move your Tableau folder and all the files it contains. Download the
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