Hello everyone, I am Xiao who loves to learn. Today, I will continue to introduce the series of nine data analysis methods. In the previous article, we mentioned that if you want to find the correlation between two indicators, you can use the correlation analysis method. But many times, the relationship we are looking for cannot be expressed by indicators. for example.
Are community stores better than pedestrian mobile number list street stores? Does private domain traffic convert better than public domain traffic? Are windy and rainy days better than clear skies? Community store/private domain traffic/windy and rainy, it is difficult to measure with one data indicator. However, these factors do have an impact on the operation of enterprises. How to analyze them? This requires the use of: tag analysis. 1. What is a label Labels are clear, general descriptions.
To give a simple example, there is an enthusiastic friend who wants to introduce a boyfriend to. If you talk about all kinds of information in a serious manner, will it be effective (as shown in the figure below): If it is described with a label, the possible effect is (as shown below): This is a visual demonstration of what the label does. A good label allows people to see the characteristics of things at a glance. In order to guide the follow-up actions, it should be noted that the labels and data indicators can be converted to each other.