Tag: Excel

Excel is an essential tool for daily work, offering quick and convenient data processing, making it very popular. However, its data processing capabilities are not limitless, and when confronted with big data, Excel’s performance becomes inadequate. For data with several hundred thousand rows, just opening such a large file in Excel will take several minutes. If you perform more complex calculations, then it will become very slow, or even crash. When the data volume exceeds one million rows, Excel will truncate the data due to capacity limitations, making it unprocessable. Therefore, Excel is no longer a suitable tool for big

In daily work, when it comes to data calculation and analysis, Excel is definitely the most frequently used tool. However, many people are also confused by some issues of Excel, such as the difficulty of in-depth learning of Excel, the challenges of tackling complex problems, the repetitiveness of solving the same problems, and the inability to handle big data. In this article, we will discuss Excel’s advantages and disadvantages in data analysis, and how to overcome such issues. Let’s first look at the advantages of Excel. 1. Simple, easy to learn and get started Firstly, Excel offers many function menus,

Sales personnel are highly skilled at using Excel for routine analysis. However, when data preparation steps become cumbersome, the problems to be solved are relatively complex, and tasks are repetitive, relying solely on Excel’s internal techniques can be quite difficult. The ideal approach is to solve these issues using external programs or tools. If you’ve ever explored and practiced this, you’ll find that popular programming languages or tools often fall short. For example, Python has a high learning curve, is not user-friendly for non-IT professionals, and is not suitable for typical business calculations. Similarly, Power Query, with its graphical interface

In contemporary business environment, data analytics has already become an important decision-making tool. It enables businesses to better understand market trend, user behaviors and internal operations, and thereby develop well-founded strategies and become more competitive. But data analytics is not easy. You need to choose a suitable tool and method. Many prefer to choose BI tools because Business Intelligence sounds closely related to data analytics, and the software appears very suitable for the job with its smooth interactivity and gorgeous UI most of the time. Yet BI tools have been technologically narrowed down to multidimensional analysis that mainly focuses on

The association of tables is a common task in work, and if you only think about using VLOOKUP, you are out. Although VLOOKUP can also solve many common problems of data lookup and referencing, it also has many drawbacks, such as cumbersome writing, poor readability, easy to step into hassles, and difficult to implement complex conditions. In practice, it can cause various headaches. And SPL XLL is much easier to use. It is an Excel plugin that excels at handling various complex data operations, and using it to do table associations is just a piece of cake. Table association is

The group and summary of data is a common problem encountered during work. For simple requirements such as summing, averaging, and counting, it can be achieved directly using Excel’s group and summary or pivot tables. However, when encountering more complex requirements, it is impossible or difficult to implement them, such as filtering and sorting the grouped data based on the summarized values or calculating the ranking within each group. Moreover, Excel’s group and summary operations are not flexible enough, such as how to copy and extract summary items and automatically update them; how to export each type of data after

When processing Excel data, there is an important requirement to filter and extract data that meets one’s own requirements. Of course, we can use Excel’s filtering function to filter and copy the data that meets the conditions. However, the Excel filtering function only filters out static values. When there are new or modified filtering criteria or source data, we need to constantly repeat the filtering and copying operation. Especially when the source data changes and cannot be automatically updated, it is easy to encounter the problem of referencing incorrect data. To solve this problem, Excel also has VLOOKUP available, but

Parsing, generating, querying and computing Excel files are common tasks Java often handles. As Excel has complicated file format, it is hard to read /write Excel files by writing your own code. But this is made convenient by various class libraries like POI, EasyExcel and JExcel, where POI is the best. POI has all-around and comprehensive abilities to read/write Excel files POI can read/write Excel files of various formats, from the older binary format (xls) to the current OOXML (xlsx) format. It supports both large memory jobs by reading/writing the whole Excel file at once and small memory jobs by