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This article mainly introduces the example analysis of Python data analysis, has a certain reference value, interested friends can refer to, I hope you can learn a lot after reading this article, the following let the editor take you to understand it.

I. what is data analysis?

Data analysis refers to the use of appropriate statistical analysis methods to analyze a large number of collected data, to summarize, understand and digest them, in order to maximize the function of data and play the role of data.

Second, why do data analysis

1. Effectively avoid slapping on the head and subjective imagination

2. Provide support for decision-making and be more persuasive

3. Through the data analysis, we can see the effect of the decision, the problem and how to do it in the future.

What is the use of data analysis

Data analysis is to centralize and extract the information hidden behind a large number of seemingly disorganized data and summarize the inherent law of the object of study. It plays three major roles in the daily operation analysis of enterprises:

1. Analysis of the current situation:

To tell you what happened in the past is embodied in:

First, tell you the overall operation at this stage, through the completion of various operating indicators to measure the operating status of the enterprise, in order to show whether the overall operation of the enterprise is good or bad, and how bad it is.

Second, tell you the composition of each business of the enterprise, so that you can understand the development and changes of each business of the enterprise, and have a more in-depth understanding of the operation of the enterprise.

The analysis of the current situation is generally completed through daily reports, such as daily, weekly and monthly reports.

For example, the current situation analysis in the daily newspaper of e-commerce type website will include the number of orders, the number of new users, activity rate, retention rate and other indicators such as year-on-year or month-on-month increase or decrease.

2. Cause analysis:

Tell you why something is happening.

After the analysis of the current situation in the first stage, we have a basic understanding of the operation of the enterprise, but we do not know where the operation is good. What's the difference? what's the cause? This requires cause analysis.

Cause analysis is generally completed through thematic analysis, according to the operation of the enterprise to choose a certain current situation for cause analysis.

For example, if there is a sudden increase in the sales of an item in the daily newspaper of an e-commerce website, it is necessary to make a special analysis on the sudden increase in sales of this item to see what factors have affected the sharp increase in sales of the product.

It can also be used to analyze the reasons for the decrease or increase of activity rate, retention rate and so on.

3. Predictive analysis:

Tell you what will happen in the future.

After understanding the operation situation of the enterprise, it is sometimes necessary to predict the future development trend of the enterprise, so as to provide effective reference and decision-making basis for the formulation of enterprise operation goals and strategies, so as to ensure the sustainable and healthy development of the enterprise. Forecasting analysis is generally completed through thematic analysis, usually when making quarterly and annual plans of the enterprise.

For example, through the above cause analysis, we can make some targeted policies. for example, through the cause analysis, we can conclude that the sales of bread will increase sharply when the typhoon comes. then we should prepare more bread supplies before the next typhoon, and make a series of preparations to get more sales.

Thank you for reading this article carefully. I hope the article "sample Analysis of Python data Analysis" shared by the editor will be helpful to you. At the same time, I also hope you will support us and pay attention to the industry information channel. More related knowledge is waiting for you to learn!

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