What is data analysis?

Do you know what we live in today? Data has begun to gradually count our lives. These data can play a big role, especially for manufacturing companies. So what is data analysis? Data analysis refers to the process of analyzing a large amount of collected data with appropriate statistical analysis methods, extracting useful information and forming conclusions to study and summarize the data in detail. This process is also a supporting process of the quality management system. In practical terms, data analysis can help people to make judgments so that appropriate actions can be taken. The mathematical foundation of data analysis was established in the early 20th century, but it was not until the advent of computers that practical operations became possible and data analysis was popularized. Data analysis is the product of the combination of mathematics and computer science. In the field of statistics, some people divide data analysis into descriptive statistical analysis, exploratory data analysis, and confirmatory data analysis; among them, exploratory data analysis focuses on discovering new features in the data, while confirmatory data analysis focuses on Focuses on the confirmation or falsification of existing hypotheses. Exploratory data analysis refers to a method of analyzing data in order to form a worthy hypothesis test, which is a supplement to traditional statistical hypothesis testing methods. This method was developed by the famous American statistician John·Tukey (John Tukey) named. Qualitative data analysis is also known as“qualitative data analysis,“qualitative research or“Qualitative research data analysis refers to the analysis of non-numerical data (or data) such as words, photos, and observation results.