Basic introduction to data analysis report sample
Data analysis refers to using appropriate statistical and analytical methods to analyze a large amount of collected data, summarizing, understanding and digesting them, in order to maximize the development of data functions and play the role of data. Data analysis is the process of studying and summarizing data in detail in order to extract useful information and form conclusions.
Data, also called observations, are the results of experiments, measurements, observations, surveys, etc. The data processed in data analysis is divided into qualitative data and quantitative data. Data that can only be classified into a certain category and cannot be measured numerically are called qualitative data. Qualitative data that is represented by categories but does not distinguish order is categorical data, such as gender, brand, etc. Qualitative data that is represented by categories but is distinguished by order is ordinal data, such as academic qualifications, product quality levels, etc.
Main methods of data analysis report sample
1. List method
Expressing data in a list according to certain rules is the most common method of recording and processing. The design of the table requires clear, simple and clear correspondences, which is conducive to discovering the correlation between relevant quantities; in addition, it is also required to indicate the name, symbol, magnitude and unit of each quantity in the title bar: other than Calculation columns and statistical columns other than raw data.
2. Drawing method
The graphing method can express the changing relationship between various physical quantities in the most eye-catching way. Some results required for experiments can be easily obtained from the graphs, and some complex functional relationships can also be represented graphically through certain transformations.
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