What are the commonly used data analysis techniques

Descriptive Analytics: What Happened? This is the most common method of analysis.

In business, this approach provides data analysts with important metrics and a measure of the business. For example, monthly revenue and loss bills. Data analysts can use these bills to access large amounts of customer data.

Understanding the geographic information of your customers is one of the "descriptive analytics" approaches. Visualization tools can be used to enhance the information provided by descriptive analytics.

1. Data collection

For any data analysis, the first thing is data collection, so big data analysis.

The first technology of the software is the technology of data collection, the tool can quickly and extensively collect the data distributed on the Internet, the data in some mobile clients, and it can also quickly import the data in the data sources in some other platforms into the tool, clean, transform, integrate, etc., so as to form the database or data mart of the tool.

Among them, it is contact analysis processing and data mining.

The foundation is provided.

2. Data access

Once the data has been collected, another technical data access for big data analytics will continue to come into play, enabling relational databases.

It is convenient for users to store original data in use, and quickly collect and use it, and then there is the basic architecture, such as transportation storage and distributed file storage, which are relatively common.

3. Data processing

Data processing can be said to be one of the core technologies of the software, in the face of large and complex data, the tool can use some calculation methods or statistical methods to process data, including statistics, induction, classification, etc., so that users can deeply understand the depth value of data.

4. Statistical analysis

Statistical analysis is another core function of the software, such as hypothesis testing, etc., which can help users analyze the reasons for a certain data phenomenon, and difference analysis can compare the huge differences shown in the company's product sales in different times and regions, so as to make a more reasonable layout in time and geography in the future.

5. Correlation analysis

What is the relationship between a certain data phenomenon and another data phenomenon, big data analysis can analyze the relationship between the two through data growth, reduction and change, etc., in addition, cluster analysis.

and principal component analysis.

and correspondence analysis are commonly used techniques that will bring data development closer to people's application goals.

Generally, there is a specific scenario and purpose before data analysis, and sometimes the analysis method can be selected according to the analysis purpose, so as to carry out data analysis faster. For example, a set of data wants to study whether there are differences in the satisfaction of different genders with shopping malls. Methods such as variance, t-test, chi-square test, etc., may be used, but the choice of method depends on the type of data and the structure.

Before the analysis, we need to select the analysis method and perform simple processing of the data.

When it comes to "analysis methods", many people may be more distressed, they have prepared data but do not know what method to choose, such as whether their data is qualitative or quantitative, whether it meets the requirements of analysis methods, etc. First of all, let's understand what qualitative data and quantitative data are, as follows:

Analytical Method: <>

1. The role of data analysis is mainly to judge according to what data is analyzed, and its role is mainly to have a role in decision-making.

2. For example, if you are analyzing human resources data, it will have an effect on your recruitment and your human resource planning.

3. If you analyze financial data, it will have an effect on the company's operation, profit analysis, cost control, and so on.

4. For example, if you analyze the big data of customer browsing, at this time, it will have an effect on marketing decision-making and marketing product research and development, in short, you should determine its role according to the field of data objects studied.

Data analysis refers to the analysis of the collected data through statistical analysis methods, the data are summarized, understood and digested, and people can make judgments through data analysis and take appropriate countermeasures according to the analysis results

The collected data is transformed into information through the process of processing, sorting and analyzing, generally speaking, the commonly used methods of data analysis include the list method and the graph method, the so-called list method, which is to express the data in a list according to a certain law, which is the most commonly used method for recording and processing data;

**The design should clearly indicate the correspondence, be concise and clear, and be conducive to discovering the relationship between the relevant quantities, and indicate the name, symbol, order of magnitude and unit of each quantity in the title bar;

The graph method can clearly express the change relationship between various physical quantities, and some results required for experiments can be easily obtained from the graph line, and some complex functional relationships can also be expressed by graphs through certain changes.

If you want to know more about data analysis, you can consult the CDA certification center. The CDA industry standard is jointly formulated by industry experts, scholars and well-known enterprises in the field of data on an international scale and revised and updated every year, ensuring that the standard is public, authoritative and cutting-edge. Those who pass the CDA certification exam can obtain the CDA certification certificate in both Chinese and English.

The commonly used methods of data analysis include list method and graph method; The list method is the most commonly used method for recording and processing data, which is to express the data in a list according to a certain law. The drawing method can clearly express the change relationship between various physical quantities.

Some commonly used data analysis methods are mainly caused by the arrangement and ranking of some data, summarizing the average, etc.