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Data analysis methods
Data analysis methods include: comparative analysis, group analysis, predictive analysis, funnel analysis, AB test analysis, quadrant analysis, formula disassembly, feasible region analysis, 28/20 analysis, and hypothetical analysis. . PHP Chinese website brings you relevant knowledge of data analysis, as well as related articles and other content.
Commonly used data analysis methodsCommonly used data analysis methods are: 1. Comparative analysis method; 2. Group analysis method; 3. Structural analysis method; 4. Retention analysis method; 5. Cross analysis method; 6. Funnel analysis method; 7. Matrix analysis method; 8. Quadrant analysis method; 9. Trend analysis method; 10. Index analysis method; 11. Comprehensive evaluation analysis method. The "comparative analysis method" is to compare data to analyze the differences between data, including static comparison and dynamic comparison.
What are the data analysis methods?There are 4 data analysis methods, namely: 1. Trend analysis, which is generally used for long-term tracking of core indicators; 2. Quadrant analysis, which can divide each comparison subject into four quadrants based on different data; 3. Comparative analysis is divided into horizontal comparison and vertical comparison; 4. Cross-analysis, the main function is to segment the data from multiple dimensions.
Excel data analysis methodsCurrent situation analysis (comparison): Comparative analysis method, completion value and target are worthy of comparison, comparison in time dimension, comparison between departments of the same company, and comparison between industry competitors. Note that the calculation method is consistent, the objects are consistent, and the indicator types are consistent. Comprehensive evaluation analysis method. Cause analysis: structural analysis method. DuPont analysis. Matrix correlation analysis method.
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