What are the common data analysis ideas?

Nowadays, the importance of data is increasingly prominent. While using data, the use and mining of data also determines the competitive value of enterprises. Data analysis should begin with business scenarios and end with business decisions. So, what are the common data analysis ideas? Let's take a look with Bian Xiao today!

1, clear thinking

Defining the purpose and thinking of data analysis is the first condition to ensure the effectiveness of data analysis process. Its function is to provide a clear direction for data collection, processing and analysis. It can be said that thinking is the starting point of the whole analysis process. First of all, unclear purpose will lead to the wrong direction. In the case of clear purpose, it is necessary to construct an analysis framework, and decompose the analysis purpose into several different analysis points, that is, how to conduct detailed data analysis, from which angles to analyze and which analysis indicators to use.

Step 2 collect data

Collecting data is a process of collecting relevant data according to a certain data analysis framework, which provides materials and basis for data analysis. The data mentioned here include primary data and secondary data. Primary data mainly refers to the data that can be directly obtained, such as the business data in the company's own business database, and secondary data mainly refers to the data obtained after processing, such as some public publications or third-party data websites.

Step 3 process data

Data processing refers to the processing and sorting of collected data to form a style suitable for data analysis, which is an essential stage before data analysis. The basic purpose of data processing is to extract and deduce valuable and meaningful data from a large number of disordered and incomprehensible data. Data processing mainly includes data cleaning, data conversion, data extraction and data calculation.

Step 4 analyze the data

Analyzing data refers to the process of analyzing the processed data with appropriate analysis methods and tools, extracting valuable information and forming effective conclusions. Because data analysis is mostly done by software, it requires data analysts to not only master various data analysis methods, but also be familiar with the operation of data analysis software.

Step 5 visualize

Generally speaking, data are presented in the form of tables and charts, which is what we often mean by using charts. Commonly used data charts include pie chart, column chart, bar chart, line chart, scatter chart and radar chart. Of course, these charts can be further sorted and processed, so that they can become the graphics we need, such as pyramid charts, matrix charts, funnel charts and so on.

Step 6 write a report

Writing a data analysis report is actually a summary and presentation of the whole data analysis process, and a constructive solution is put forward through a clear structure and illustrated presentation.

The above is what Bian Xiao sent to you today about "What are the commonly used data analysis ideas?" I hope it will help everyone. As the saying goes, there is no unprepared war. Generally speaking, with the application of big data in many industries, engineers and developers with the ability to work with big data technology are very popular.