Is Excel too good for data analysis?

Is Excel too good for data analysis?

With the continuous development of informatics, everyone is supposed to be more familiar with emerging industries such as big data and cloud computing. The current big data industry is a very popular industry, due to its good salary and good future development prospects, it is becoming increasingly popular with graduates. Among the many departments working in big data, data analysts are the most popular, but it is not easy to be a qualified data analyst. If you want to be a data analyst, then data analysis is a must, and in the work of data analysis, learning Excel is a must. Let's look at the advantages and disadvantages of Excel when performing data analysis.

First of all, what the author wants to offer you are the advantages of Excel:

(1)   Arithmetic formulas:

There are arithmetic formulas plentiful, and needless to say, everyone knows what was used.

(2)   Chart function:

Through Excel, we can make a variety of shapes of charts, which is very useful in practical work.

(3)   Automatic summary:

This function is actually available in other software programs, but Excel is relatively more flexible and convenient;

(4)   Easy to use:

Statistical analysis of some data to be verified with Excel can be done in one click;

(5)   Pivot:

The biggest advantage of this function is its simplicity. For beginners, it only takes an hour or two to learn and they can basically get started.

Many new friends with big data feel that if you want to do data analysis, it is necessary to know how to use Excel, and indeed the advantages of Excel tell you too. But don't think that you can only use Excel to analyze data, which is not the case. For data analysts, Excel is no good.

Next, we will talk about the shortcomings of Excel:

(1)   Data security is low:

Although Excel also provides some security guarantees, it is limited to user access and modification. In general, a simple cracker can easily be hacked, and the security of the database will be higher. ;

(2)   Low among platforms:

This is arguably the biggest drawback of Excel, because Excel can only be run on PC and Jmac platforms, and for comparison, the database produced can be run on any platform by installing the client. But we do not always stay in front of the computer all the time, so this defect in Excel is magnified infinitely;

(3)   The amount of data is small:

Friends who use Excel often had to find out about this problem. When the amount of data in Excel is too large, the query and calculation speed will be greatly reduced, which is really unacceptable to work. Therefore, you need to use database products, because the storage of database products is larger, which allows us to store more data information;

Should you understand the advantages and disadvantages of using Excel when data analysts are analyzing data? To use Excel, it is suitable for beginners, and can initially be used as a good tool for data analysis. However, when the amount of data continues to increase after a period of time, its shortcomings are gradually revealed. Therefore, when we analyze data, if we feel that the flaws in Excel appear, it is time to change to another tool for data analysis.