Essentially, almost all work is related to data and requires some data analysis methods to a greater or lesser extent. But the data itself has a threshold. Many people are afraid of math classes when they go to school, let alone complex theories. Therefore, the so-called basic data analysis method should be: Does not involve advanced mathematics, statistics, operations research, algorithm principles; Does not involve complex business logic and causal inference logic; It is not limited to specific business scenarios and is universal. In short, what everyone can use is the basic method.
Based on this concept, we have compiled nine mobile number list basic analysis methods for you, which are simple and easy to use. Great collection! Summary of 9 basic methods of data analysis 2. Start with an indicator 1. Periodic Analysis The most basic analysis method can start with an indicator, which is the "periodic analysis method". The so-called "periodic analysis method" is very simple in operation. It is to lengthen the observation time of an indicator to see if it has a periodic variation law.
This method is simple to analyze, but very practical. Because newbies often cause jokes because they don't understand cyclical changes. such as: "I found that the indicator fell sharply yesterday" - yesterday was the weekend, it should have fallen (natural cycle change) "I found that product A sells well" - product A has just launched, it should sell well (product life cycle) Great collection! Summary of 9 basic methods of data analysis Many times, the indicators we look at are overall indicators, and overall indicators are composed of several parts, such as.