The difference between tableau and excel

Microsoft Excel is one of the components of Microsoft Office software. It is a spreadsheet software written and run by Microsoft for computers with Windows and Apple Macintosh operating systems.

A large number of formula functions in Excel can be applied and selected. Use Microsoft Excel to perform calculations, analyze information and manage data information lists and data in spreadsheets or web pages. Data chart production can realize many convenient functions.

For example, it is used for report making, data processing, making data charts, etc. In terms of data processing, EXCEL can retrieve and calculate data by setting rows and columns. In terms of chart production, EXCEL can create simple static data charts, such as the most commonly used bar charts, linear charts, pie charts, etc.

But Excel is a static data structure mode and cannot display dynamic data. Therefore, most people will use excel and PPT to express richer expressions through ppt. And Excel, as a spreadsheet tool, is not suitable for large data sets.

Tableau data visualization analysis product can connect to the database, present dynamic data changes, and conduct data analysis and visual presentation more intuitively. Tableau realizes the perfect grafting of data and charts. It is an analysis tool that everyone can use, and it is simple and easy to use.

Tableau Desktop has powerful performance. It can not only complete basic statistical predictions and trend predictions, but also achieve dynamic updates of data sources. It can meet the data analysis and display needs of most enterprises and government agencies, as well as the requirements of visualization projects of some universities and research institutions, and is especially suitable for enterprises.

Tableau Server is a business intelligence application platform completely oriented to enterprises, based on For enterprise servers and web pages, users use browsers to analyze and operate. They can also publish data to Tableau Server to collaborate with colleagues, achieving visual data interaction.

For many people, Excel is the analytical tool of choice. While spreadsheets are useful, they still don't provide all the answers you're looking for to gain real insights from your big data.

Trying to use spreadsheets to do advanced, adaptive analysis, or to do analysis of large amounts of data, is tantamount to trying to catch fish in a tree. As a result, errors occur frequently, and the cost is efficiency, accuracy, and wasted time. In today's market, where basic built-in charts and graphs don't cut it, what really works is presenting your data with a variety of advanced visualizations

When you use Excel, you're in charge. But like driving a sports car when you only need an SUV, using Excel for analysis means you have too many features to use in some areas and not enough in others. Outdated data (which is also difficult to update), error-prone analyses, multiple versions of the same file circulating among colleagues, too much manual intervention - these are just a few of the common areas of frustration with Excel. What about time wasted developing analysis instead of actually analyzing it?

Tableau has its obvious advantages in making data charts. Regardless of the production process, the type of accessed data, the presentation effect of charts, etc., Tableau has demonstrated very superior functions and performance. However, Tableau's popularity is difficult to reach the level of office software.

Office software is a must-have, so any computer will have word\excel\PPT. The installed capacity of Tableau is obviously far from reaching this level, which requires that files produced with Tableau must be converted into graphic formats and pasted into the corresponding files. As a result, Tableau's unique data consistency advantage in the display process is completely lost. At the same time, because the image format generated is JPEG, the display accuracy is lower than the image pasted by excel to the ppt file. In addition, if the entire dashboard is pasted, there is no space between each graphic to label and explain the icons like in PPT. This shortcoming alone is enough to lose 1/3 of Tableau's advantages.

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