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What are the common big data analysis models in big data analysis?
What are the common data analysis models?

1. Behavioral event analysis: Behavioral event analysis has strong screening, grouping and aggregation capabilities, clear logic and simple use, and has been widely used.

2. Funnel analysis model: Funnel analysis is a set of process analysis, which can scientifically reflect the user behavior state and an important analysis model of user conversion rate from the starting point to the end point.

3. Retention analysis model Retention analysis is an analysis model, which is used to analyze the user's participation/activity and investigate how many users who initiated the behavior will follow up. This is an important way to measure the value of products to users.

4. Distribution analysis model Distribution analysis is a classified display of user usage frequency and total amount under specific indicators.

5. Click analysis model uses a color form with special brightness to display icons, which have the click density of different elements in the page or page group area.

6. User behavior path analysis model User path analysis, as the name implies, the user's access behavior path in the APP or website. In order to measure the effect of website optimization or marketing promotion and understand user behavior preferences, it is often necessary to analyze the transformation data of access paths.

7. User grouping analysis model User grouping is user information labeling, which divides users with the same attributes into a group through their historical behavior paths, behavior characteristics, preferences and other attributes, and carries out subsequent analysis.

8. Attribute analysis model classifies and statistically analyzes users according to their own attributes, such as checking the changing trend of the number of users during the registration period and the distribution of provinces.