Excel vs. Tableau: See your data differently (2023)

By Kevin Pan, Ph.D., and Alan Blankley, CPA, Ph.D.

Technology experts in the accounting profession have been predicting the demise of Microsoft Excel for years. In 2015, for example, the JofA asked the participants in its annual technology roundtable what they saw as the future of the spreadsheet. The first answer given was a product named Tableau. (See "Beyond Spreadsheets: Technology Round Table, Part 1," JofA, April/May 2015.)

Fast-forward five years, and Excel is still going strong. That's despite Tableau being a really cool tool — so cool, in fact, that we proposed writing a JofA article about it. The response came with a series of questions: How does Tableau compare to Excel? What can Tableau do that Excel can't? Could Tableau replace Excel for accountants, and, if so, why hasn't it yet?

This article answers these questions.


The first thing to understand about Tableau is that it is a data visualization program. Data visualization programs empower CPAs and other users to render the results of analyses in sophisticated, easy-to-create charts that highlight many more aspects, or "views," of the data than plain tables. Provided with a plethora of new visual insights, users can look to develop business intelligence.

The second thing to understand about Tableau is that it's not a spreadsheet replacement. Excel can handle a number of tasks that Tableau either can't perform well or can't handle at all. The reverse holds true as well.

To help you understand the capabilities, limitations, and best use cases for Tableau, this article explores its differences from (and similarities with) Excel and also walks you through a simple use case with live data to demonstrate the power of its data visualization capabilities.

Before we jump into the details, it's important to note that Tableau is far from the only data visualization application available to CPAs. The market includes numerous competitors (see the sidebar "Spreadsheet and Visualization Applications," at bottom of page), though Tableau and Microsoft Power BI are probably the two biggest names (see the accompanying article, "Power BI: An Analytical View").


As mentioned, Tableau boasts a number of capabilities that Excel cannot match, while Excel shines in some scenarios that Tableau either can't handle well or at all. Let's look first at the strengths of each application in the table "Strengths of Excel vs. Tableau."

Strengths of Excel vs. Tableau


  • Generating computational solutions using built-in functions
  • Tables and charts for reporting
  • Ad hoc data management
  • Small-scale, user-developed programming for scenario analysis


  • Analysis of large amounts of complex data through a visual interface
  • Fast and robust presentation of results in beautiful, intuitive charts
  • Ability to join and merge data
  • Manipulation of large datasets
  • Interactive dashboards for business intelligence
(Video) Excel vs Tableau - Which Tool To Use? | Tableau & Excel Difference | Tableau vs Excel | Simplilearn

For decades, Excel has been the primary tool ­accountants use to summarize or chart data. Tableau also handles these tasks well. For someone who's familiar with Excel, it may seem easier to use Excel, but a user can learn to perform these tasks just as easily, if not more easily, in Tableau. Since this article's main purpose is to compare and contrast Excel and Tableau and note the differences, we elaborate more on differences than on similarities, but the many tasks the applications do equally well include:

  • Importation of small datasets.
  • Simple data manipulation, such as sorting.
  • Basic calculations, such as count, average, min, max, etc.
  • Simple PivotTables.
  • Simple charting.
  • Conditional statements.

While Excel and Tableau handle these tasks equally well, as the amount of data continues to increase in the accounting world, it may be advantageous for accountants to use Tableau due to its ability to handle large amounts of data (discussed below).

Before we jump into Tableau's advantages over Excel, let's cover a couple of tasks that Excel handles better.

Creating or revising a dataset

Excel offers great flexibility when creating or revising a dataset. In Excel, users can either import an existing dataset into a worksheet or build a dataset manually. They can then add or delete as many records to the worksheet as needed.

This simple task can be done by manually adding data or importing and appending additional records to the original data. For relatively small datasets, Excel offers simplicity and flexibility in creating and editing data. On the other hand, Tableau is not designed for ad hoc data management such as creating a dataset from scratch. (See the sidebar "What Data Can Be Imported Into Tableau" to see what types of file formats Tableau can accommodate.)

Customizing calculations, performing scenario analyses, and automating repetitive calculations

Perhaps Excel's strongest capability is that users can create complex, recursive calculations in cells using values or formulas referencing other cells. This trait allows users to develop an almost unlimited type of small analytical "programs" within worksheets, each capable of providing critical information.

Take, for example, a loan amortization table. To develop a simple, flexible amortization table, a user allows for a small number of input cells where users can enter the desired interest rate, loan term, and loan amount, and then can determine the payment due using the PMT function. Once the payment is determined, users can create formulas in a schedule that calculates the interest paid each period, the repayment amount, and the loan's new carrying value each period for the duration of the loan. The whole process is simple, quick, and flexible, and results in important information. Excel's ability to accommodate ad hoc analyses of business needs by allowing customized calculations with preprogrammed functions and cell references is indispensable, and this simply cannot be done in Tableau.


Overall, Tableau is superior to Excel in allowing the dynamic exploration of data and interactive analyses. This section focuses on data filtering and data visualization, while the following section covers interactive dashboards.

Data filtering

Tableau can filter a single worksheet, as Excel does, and it can also filter multiple worksheets with any number of filters a user may need. It is almost effortless to do this since Tableau has a visual interface that makes it simple to set, change, or delete filters.

Filters can be set in individual worksheets in Tableau as well, so they can be applied locally to individual worksheets or globally to multiple worksheets, and global filters can work in conjunction with local filters.

Data visualization

Both Excel and Tableau allow users to create nice-looking, basic charts and graphs, but the process is simpler in Tableau. Tableau can create advanced charts by merely dragging and dropping fields. Once created, the chart or graph can be changed to a different visualization with one click. Excel does not rival Tableau in this respect. Further, Tableau users can click on areas of the chart to easily explore different levels of detail.


What does Tableau look like in action? To showcase the program's ability to handle large amounts of data, we obtained occupational data collected by the government (see the sidebar "Data Source Citation") and opted to analyze the geographical distribution of accountant salaries. A similar process could be used on company sales or revenue, but we wanted to walk through a relatively simple example using live data.

We can start by filtering the dataset for "Accountants and Auditors." This filter separates accountant and auditor salaries from the larger dataset. To set this filter globally, select the Filters link in the Data Source page, then select the Occupation Title field and keep the "Accountants and Auditors" category. In the screenshot "Edit Data Source Filters," we show the result that appears after following these steps. After we click OK, all other occupations are filtered out and only "Accountants and Auditors" is analyzed in all worksheets.

Excel vs. Tableau: See your data differently (1)

(Video) Tableau vs Excel - Interworks

To create a chart, drag the Area Name field from the list of fields to the Rows line in the worksheet, and then drag the Mean Annual Salary field to the canvas. Next, click Sort. The screenshot "Accountants' Average Salaries by Metro Area — Sorted" illustrates the result of this new chart sorted in descending order by salary.

Accountants' average salaries by metro area — sorted

Excel vs. Tableau: See your data differently (2)

From this basic chart, it takes only one click to change to a table, a map, a column chart, a bubble map, and so forth. The different visualizations are that simple to create. Even better, the chart is dynamic, meaning that it can be explored for further insight. For example, a user can scroll through the bar chart to see the distribution of specific areas and the salaries, and can customize color, size, label, and detail to facilitate further analysis. The screenshot "Customized Bar Chart" shows the same chart with line widths customized to reflect total employment of each location. Note that although San Rafael, Calif., has the highest average accountant salary, its bar is much thinner than the bar for New York-Jersey City-White Plains, which has much higher total employment.

Customized bar chart

Excel vs. Tableau: See your data differently (3)

Next, to view the result as a map, you can simply click on the map icon to produce the map shown in the screenshot "Map of Accountants' Salaries."

Map of accountants' salaries

Excel vs. Tableau: See your data differently (4)

Next, if you want to find where salaries are higher than $70,000, simply drag and drop salary onto the filter box in the worksheet. The screenshot "Map With 2 Filters Applied" shows the results of applying a filter for accountants' salaries for all metropolitan areas in the continental United States where the mean salary is greater than or equal to $70,000.

Map with 2 filters applied

Excel vs. Tableau: See your data differently (5)

(Video) How to "Excel" with Tableau (repeated)

With the visual interface, we can easily change the condition to see just the metro areas where the average salary is greater than or equal to $75,000 by sliding the Mean annual salary bar located to the right of the map. Results change instantly to reflect the new condition. Further, to include an additional condition in the analysis, simply drag and drop another field on the filter box. The screenshot "Map With Mean Salary Slider" shows the results of U.S. metro areas where average salary is at least $75,000 and then total accountant employment is greater than or equal to 5,000.

Map with mean salary slider

Excel vs. Tableau: See your data differently (6)


Handling large amounts of data

Tableau can handle virtually any amount of data depending on your computer's hardware. There is no limit to how many records Tableau can load. On a computer that has only 8 GB of RAM, we were able to load and analyze a dataset with more than 25 million records in Tableau. Excel, on the other hand, is limited to 1,048,576 rows.

Creating interactive dashboards

While filters offer one way to analyze data dynamically, interactive dashboards take it one step further. Interactive dashboards are visualizations involving multiple views of data items to help users analyze data. For example, if you wanted to analyze accountants' salaries by geographical location, you could create a dashboard showing a geographic map of salary by city and a sorted bar chart showing the highest to lowest salaries. Excel can build dashboards, but it is not nearly as straightforward or as powerful as the dashboard feature in Tableau. The screenshot "Interactive Dashboard With Filter Slide Bars" shows an example Tableau dashboard highlighting average accountant salaries for the continental United States with a map, a bar chart, and sliders, allowing the user to define parameters for visualizing both salaries and employment.

Interactive dashboard with filter slide bars

Excel vs. Tableau: See your data differently (7)

By moving the Total Employment slide bar to the right, the user could easily update both the map and bar chart to display only metro areas where total accountant employment was, say, 1,000 or more accountants, and find the average accountant salary of those areas.

More importantly, Tableau dashboards allow users to zoom in on specific parameters to examine more granular detail. Suppose, for example, that a user wants to examine accountant employment and salaries in New York state and determine what average salaries are in each metro area with accountant employment of at least 1,000. By zooming in on New York state and adjusting the Total Employment slide bar, users can observe the results shown in the screenshot "Average Salary by New York Metro Areas Employing at Least 1,000 Accountants." Users could then compare metro area salaries by observing the color code on the map or by looking at the related bar chart on the dashboard.

The ability to zoom in or out so easily allows users to aggregate or disaggregate data across multiple dimensions, which generates business intelligence.

Average salary by New York metro areas employing at least 1,000 accountants

Excel vs. Tableau: See your data differently (8)

(Video) How to "Excel" with Tableau


In their never-ending quest for better ways to work with data and display information, accountants are likely to find that spreadsheet software such as Excel and data visualization software such as Tableau are both necessary tools. Excel is suitable for customized sequential calculations; Tableau is a powerful tool for analyzing large, complex datasets through a user-friendly interface. As a result, accountants would be well advised to have strong working knowledge of both Excel and Tableau (or another data visualization program) to continue to serve their clients and employers effectively.

Spreadsheet and visualization applications

This article focuses on the principal differences between two classes of software: spreadsheets and data visualization programs. A detailed comparison of products within each class is beyond the scope of this article. Although we use Excel and Tableau as the primary examples, the principles we discuss apply more broadly to spreadsheets and data visualization programs in general. Here are some names to know:

  • Examples of spreadsheet programs: Apple Numbers, Google Sheets, LibreOffice Calc, and Microsoft Excel.
  • Examples of data visualization programs: Microsoft Power BI, Qlik, SAS Visual Analytics, and Tableau.

Other types of visualization software — flowcharting software, for example — are beyond the scope of this article.

What data can be imported into Tableau

Tableau is designed to incorporate data organized in fields and records; a column is a field, and a row is a record. The data can be in various file formats that follow the same field-record structure, including Excel files, text files such as CSV (comma-separated values) files and tab-delimited files, and PDF files. The data can also come from direct connections to database servers such as SQL. An advantage of live data connections is that the analytics automatically update with the data.

The data items can be qualitative or quantitative; a qualitative field is called a dimension, and a quantitative field is called a measure in Tableau. Further, a dimension can be assigned a geographic role to represent countries, states, metropolitan areas, or ZIP codes.

Data source citation

The data used in this article is publicly available from the U.S. Department of Labor's Bureau of Labor Statistics' (BLS) Occupation Employment Statistics website; specifically, metropolitan and nonmetropolitan area data. In this article, we are not concerned with the specific results or insights in this dataset but are using this dataset to demonstrate Tableau's features. In the portion of the data that we use, each record identifies one occupation for each area; for example, one record contains fields about accountants in the New York-Jersey City-White Plains, NY-NJ area, and the fields include total employment, mean hourly wage, and mean annual salary of accountants in this area.

About the authors

Kevin Pan, Ph.D., is an assistant professor in the Brock School of Business, and Alan Blankley, CPA, Ph.D., is a professor in and chair of the Department of Accounting, both at Samford University in Birmingham, Ala.

To comment on this article or to suggest an idea for another article, contact Jeff Drew, a JofA senior editor, at Jeff.Drew@aicpa-cima.com or 919-402-4056.

AICPA resources


  • "Power BI: An Analytical View," JofA, March 2020
  • "Beyond Spreadsheets: Technology Round Table, Part 1," JofA, April/May 2015

CPE self-study

  • Advanced Excel: Practical Applications for Accounting Professionals (#163143, online access)
  • Data Analytics Certificate Programs, certificates.aicpastore.com


  • Practitioners and TECH+ Conference at AICPA ENGAGE, June 7—11, Las Vegas
  • AICPA/CPA.com Digital CPA Conference 2020, Dec. 6—9, Orlando, Fla.

For more information or to make a purchase or register, go to aicpastore.com or call the Institute at 888-777-7077.


(Video) A comparison: Excel, Power BI and Tableau

IMTA Section and CITP credential

The Information Management and Technology Assurance (IMTA) Section supports AICPA members who provide services in the areas of information security and cyber risk, privacy and IT risk management, business intelligence, and emerging technologies. CPAs may also pursue the Certified Information Technology Professional (CITP) credential, which demonstrates an individual has the expertise to advise organizations on how to maximize IT to manage their business. Access to IMTA tools and resources is included with AICPA membership. To learn more, visit aicpa.org/IMTA and aicpa.org/CITP.


Why Tableau is better than Excel for data visualization? ›

Tableau can access and display unlimited amounts of data. We have customers that analyze 10's of billions of rows of data. Create pivot tables with unlimited number of rows, columns, members, and cells. Excel has many limitations in all these areas that confound even simple analysis.

How is Tableau different than Excel? ›

While Excel allows users to analyze data and perform calculations, Tableau leverages visual analytics-- bringing with it a new way to interact with and analyze data.

Why are the Tableau and Excel results not the same for the distinct count? ›

you are using different data, in your workbook, it comes from a csv which has total number of records 51,290, while in your excel, it only contains 4,873 records. That's why your count of customer per category is different.

Why is Tableau preferred over Excel? ›

While Tableau is superior when it comes to visuals and dashboards, Excel is a spreadsheet tool we need in order to perform multi-layered calculations. The two software programs complement each other to ensure your analysis is first-class.

Is Excel enough for data visualization? ›

While Excel isn't visualization software, it's a versatile, powerful tool for professionals of all levels who want to analyze and illustrate datasets. Here are the types of data visualizations you can create in Excel and the steps involved in doing so, along with some tips to help you along the way.

What are the limitations of Tableau? ›

Let's dive into some tableau limitations:
  • Poor Versioning. ...
  • No Automatic Refreshing of Reports: ...
  • Need Manual Effort: ...
  • Not a Comprehensive Solution. ...
  • No Version Control: ...
  • SQL Knowledge.
Apr 20, 2022

Do I need to know Excel to learn Tableau? ›

One of the core skills that can help you learn Tableau faster is a solid understanding of spreadsheets, such as those in Microsoft Excel.

Which tool is best for data visualization? ›

Some of the best data visualization tools include Google Charts, Tableau, Grafana, Chartist, FusionCharts, Datawrapper, Infogram, and ChartBlocks etc. These tools support a variety of visual styles, be simple and easy to use, and be capable of handling a large volume of data.

When should you not use Tableau? ›

How NOT to use Tableau
  1. Replicate a report or chart designed in another tool. ...
  2. Try to show tons of data on one screen with a dozen (or more) quick filters. ...
  3. Try to connect every table in your database using the multiple tables option. ...
  4. Spend way too much time on formatting. ...
  5. Connecting to already summarised data.
Aug 27, 2013

Why don't you see the number of records in Tableau? ›

You will no longer see the Number of Records field in data sources that contain logical tables. Every table includes a count of its records, as a field named TableName(Count), at the level of detail for that table. In the previous example you can see Addresses(Count), Customers(Count), and LineItems(Count).

Why are my numbers doubling in Tableau? ›

So where you have more than one table with multiple records for each individual, you will end up with duplicate rows, exactly as you have discovered.

Can Excel do a distinct count? ›

You can also count distinct values in Excel using a pivot table. To find the distinct count of the bike names from the previous example: To count the distinct items using a pivot table: Select cells A1:B11.

What is the main advantage of Tableau? ›

Tableau can handle millions of rows of data with ease. Different types of visualization can be created with a large amount of data without impacting the performance of the dashboards. Also, there is an option in Tableau where the user can make “live” to connections to different data sources like SQL etc.

Why Tableau is the most popular data visualization tool? ›

This tool allows you connecting different data sources, data warehouses, cloud files, big data, spreadsheet data, non-relational, and several other types of data. Tableau can blend every kind of data to help organizations for producing attractive visualizations.

Can I be a data analyst with just Excel? ›

Excel skills have been recognized as a valuable tool for data scientists and analysts because it allows them to quickly manipulate, analyze, and visualize data without having to spend time learning complex programming languages such as Python or R.

Is Excel enough for data analyst? ›

Data analysts use Excel in much the same way that you might use the calculator app on your iPhone. When you aren't sure what is going on with a dataset, putting it into Excel can bring clarity to the project. You don't have to be a Data Analyst by title to start using Excel, though.

Is Excel data analysis accurate? ›

1. Excel is not as accurate as you think. Perhaps the top reason why you should stop using Excel for financial analysis is that it isn't as precise as you might think. A recent study uncovered that close to 90% of spreadsheets contained errors– including human errors, programming errors, and capacity limitations.

Can Tableau do everything Excel can? ›

The second thing to understand about Tableau is that it's not a spreadsheet replacement. Excel can handle a number of tasks that Tableau either can't perform well or can't handle at all. The reverse holds true as well.

What are the advantages and disadvantages of using Tableau? ›

Quickly Create Interactive Visualization:- Users can create a very interactive visual by using drag n drop functionalities of Tableau. Comfortable in Implementation:- Many types of visualization options are available in Tableau, which enhances the user experience. Tableau is very easy to learn in comparison to Python.

What are 3 benefits of a dashboard Tableau? ›

I. Advantages of Tableau
  • a) Data Visualization: ...
  • b) Mobile Support and Responsive Dashboard: ...
  • c) Tableau can handle large amounts of data: ...
  • d) Ease of Implementation: ...
  • e) Quickly Create Interactive Visualizations: ...
  • f) Tableau Company Strategy: ...
  • g) Use of other scripting languages in Tableau: ...
  • a) Tableau Dashboard:

Can you learn Tableau in a week? ›

Tableau is considered a relatively easy-to-learn data analysis and visualization tool and can be mastered by anyone with enough time and practice. On average, it takes most people between two and six months to learn this software. This process can take even longer if you're looking to master all of Tableau's functions.

Why is Tableau hard to learn? ›

It can be difficult for those who do not have a background working with data to understand how data works. If you are new to handling raw data, you may consider exploring online tutorials or videos that explain data basics. Many Tableau users consider data preparation the most challenging part of using Tableau.

Can Tableau be self taught? ›

Self-Paced eLearning

Build your analytics skills from anywhere, anytime. Choose self-paced eLearning for maximum flexibility as you master Tableau.

Which visualization tool is the biggest competitor to Tableau? ›

Visualizations: Qlik Sense gives Tableau competition with a similar drag-and-drop capability for loading data into visualizations.

Why is Tableau better than other visualization tools? ›

Tableau is built on the work of scientific research to make analysis faster, easier, and more intuitive. Analyzing data in a quick, iterative way that provides immediate feedback makes our products engaging, fun, and easy to learn.

Which chart types work best to visualize a lot of data? ›

A scatter plot or scattergram chart will show the relationship between two different variables or reveals distribution trends. Use this chart when there are many different data points, and you want to highlight similarities in the data set.

Can Tableau manipulate data? ›

To overcome such challenges, Tableau has a feature-rich data pane with multiple inbuilt options related to data manipulation, such as changing data types, splitting strings, pivoting or un-pivoting data, creating custom calculations, and so on.

Should I put Tableau on my resume? ›

So, in most cases, use “Tableau Developer” in your resume header. The only exception would be the jobs that list Tableau as “extra skills”, e.g. Business Analyst or Data Analyst. Header is often a great place to feature a link to your portfolio, personal website or LinkedIn.

What are the challenges you faced in Tableau? ›

Q13) Tell us about one of the most challenges you faced in your Tableau career.
  • Easy learning in short amount of time.
  • Free Tableau Public.
  • Classifies and stores Big Data.
  • Connects to any type of Data Source.
  • Works on any Data.
  • Easy to Use.
  • Growth of an Individual.
  • Growth of the Organization.

Can Tableau handle millions of records? ›

The short answer is, Tableau can handle 50 million rows. Here's a few things to watch for. Tableau normally performs better with long data as opposed to wide data.

How does Tableau read Excel data? ›

Follow the steps below:
  1. Open Tableau.
  2. Click the Connect the Data link in the top right corner of the Data Pane.
  3. The Connect window will open, choose Excel.
  4. Navigate to the Excel workbook in your save location.
  5. After choosing the workbook, you will see the Excel workbook sheets under connections.

How many sheets is too many Tableau? ›

There is not a maximum number of sheets in a workbook. See this link for more details. I try to keep the number of sheets to under 20 per workbook. I'd recommend splitting your sheets into multiple workbooks and publishing them to Tableau Server/Online.

Why am I getting a * in Tableau? ›

That asterisk occurs when Tableau is trying to aggregate dimensional values from a secondary table in a blend.

How do I fix data blending in Tableau? ›

To work around this scenario, do the following:
  1. Before creating any field-level customizations, publish each data source first.
  2. Connect to each data source.
  3. Create a workbook that contains the field-level customizations that you need.
  4. Publish the workbook to Tableau Server.

How do I count unique responses in Excel? ›

Count the number of unique values by using a filter
  1. Select the range of cells, or make sure the active cell is in a table. ...
  2. On the Data tab, in the Sort & Filter group, click Advanced. ...
  3. Click Copy to another location.
  4. In the Copy to box, enter a cell reference. ...
  5. Select the Unique records only check box, and click OK.

How do I show unique values in Excel? ›

To filter for unique values, click Data > Sort & Filter > Advanced. To remove duplicate values, click Data > Data Tools > Remove Duplicates. To highlight unique or duplicate values, use the Conditional Formatting command in the Style group on the Home tab.

What is difference between unique and distinct in Excel? ›

“Distinct” means total number of different values regardless how many times it appears in the dataset. A name appears in the list multiple times is counted as 1 distinct count. Whereas, the “Unique” value is total number of values that only appear once.

Why is Tableau better than Excel for data visualization? ›

Tableau can access and display unlimited amounts of data. We have customers that analyze 10's of billions of rows of data. Create pivot tables with unlimited number of rows, columns, members, and cells. Excel has many limitations in all these areas that confound even simple analysis.

What makes Tableau unique? ›

Tableau is a very effective tool to create interactive data visualizations very quickly. It is very simple and user-friendly. Tableau can create complex graphs giving a similar feel as the pivot table graphs in Excel. Moreover, it can handle a lot more data and quickly provide calculations on datasets.

What feature is unique to Tableau? ›

Easy Collaboration & Sharing

Tableau provides easy ways for users to communicate with one another and exchange data in real-time in the form of visualizations, sheets, dashboards, and so on. It enables you to securely communicate data from a variety of data sources, including on-premise, cloud, hybrid, and so on.

Why use Tableau over Excel? ›

Excel works well when you have to create quick, one-off reports. Tableau is helpful when you want a more detailed analysis of your business reports. Gain expertise in the latest Business analytics tools and techniques with the Business Analyst Master's Program.

What are the limitations and disadvantages of Tableau? ›

Let's dive into some tableau limitations:
  • Poor Versioning. ...
  • No Automatic Refreshing of Reports: ...
  • Need Manual Effort: ...
  • Not a Comprehensive Solution. ...
  • No Version Control: ...
  • SQL Knowledge.
Apr 20, 2022

Is Excel becoming obsolete? ›

Excel isn't going away anytime soon. In fact, it has become more important than ever, as it is now central to the workflow for many and used alongside other data tools such as Power BI and Tableau, and ERP systems such as SAP and Salesforce.

What is the most common mistakes with Excel? ›

9 Common Excel Mistakes
  • Avoid inserting rows to make attractive spaces as a design feature. ...
  • Don't use Excel when you should be using other software. ...
  • Printing the whole spreadsheet. ...
  • Selecting the entire column when you apply formatting. ...
  • Use data validation in models. ...
  • Using Red as an emphasis colour. ...
  • Be careful Merging cells.
Jun 30, 2019

Why is Tableau good for data visualization? ›

Tableau can handle millions of rows of data with ease. Different types of visualization can be created with a large amount of data without impacting the performance of the dashboards. Also, there is an option in Tableau where the user can make “live” to connections to different data sources like SQL etc.

Why do data scientists use Tableau? ›

A Data Scientist needs to be able to quickly visualize the data they're dealing with before creating the model, and Tableau helps with that. Tableau is a great help for summarizing success metrics.

What are two benefits of data visualization? ›

Data visualization tools make it quick and easy to create charts and graphs which can be added to a customizable dashboard.; Besides looking beautiful, data visualization tools give us the ability to process information faster and to use that information to boost productivity and results.

Does Tableau prefer wide or long data? ›

People-friendly data is often captured and recorded in a wide format, with many columns. Machine-readable data, like Tableau prefers, is better in a tall format, with fewer columns and more rows.

Which industry uses Tableau the most? ›

The companies using Tableau are most often found in United States and in the Information Technology and Services industry. Tableau is most often used by companies with 50-200 employees and 1M-10M dollars in revenue.
Who uses Tableau?
CompanyAcrelec SAS
Company Size500-1000
22 more rows

Why do analysts use Tableau? ›

Tableau is an end-to-end data analytics platform that allows you to prep, analyze, collaborate, and share your big data insights. Tableau excels in self-service visual analysis, allowing people to ask new questions of governed big data and easily share those insights across the organization.


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