I finally figured out my trading behavior! super long

1. Project background and analysis 1) Project background   Online shopping has become an indispensable part of people’s life. Based on the data of Taobao app platform, this project analyzes user behavior through relevant indicators, so as to explore user-related behavior patterns. 2) Data and field description   The data set used in this article contains the user behavior data of Taobao App mobile terminal within one month from 2014.11.18 to 2014.12.18. The data has 12256906 days of records, a total of 6 columns of data. user_id: user identity item_id: item id behavior_type: user behavior type (including four behaviors of clicking, collecting, adding to shopping cart, and paying, respectively represented by numbers 1, 2, 3, and 4) user_geohash: geographic location item_category: category id (category to which the product belongs) time: the time when the user behavior occurred 3) Dimensions of analysis Analysis of traffic indicators User Behavior Analysis Funnel Churn Analysis RFM Analysis of User Value 4) Common analysis methods for e-commerce 5) What is funnel analysis? “Funnel analysis” is a set of process data analysis, which can scientifically reflect the state of user behavior, as well as an important analysis model of user conversion rate at each stage from the beginning…

1. Project background and analysis 1) Project background   Online shopping has become an indispensable part of people’s life. Based on the data of Taobao app platform, this project analyzes user behavior through relevant indicators, so as to explore user-related behavior patterns. 2) Data and field description   The data set used in this article contains the user behavior data of Taobao App mobile terminal within one month from 2014.11.18 to 2014.12.18. The data has 12256906 days of records, a total of 6 columns of data. user_id: user identity item_id: item id behavior_type: user behavior type (including four behaviors of clicking, collecting, adding to shopping cart, and paying, respectively represented by numbers 1, 2, 3, and 4) user_geohash: geographic location item_category: category id (category to which the product belongs) time: the time when the user behavior occurred 3) Dimensions of analysis Analysis of traffic indicators User Behavior Analysis Funnel Churn Analysis RFM Analysis of User Value 4) Common analysis methods for e-commerce 5) What is funnel analysis? “Funnel analysis” is a set of process data analysis, which can scientifically reflect the state of user behavior, as well as an important analysis model of user conversion rate at each stage from the beginning…

1. Project background and analysis 1) Project background   Online shopping has become an indispensable part of people’s life. Based on the data of Taobao app platform, this project analyzes user behavior through relevant indicators, so as to explore user-related behavior patterns. 2) Data and field description   The data set used in this article contains the user behavior data of Taobao App mobile terminal within one month from 2014.11.18 to 2014.12.18. The data has 12256906 days of records, a total of 6 columns of data. user_id: user identity item_id: item id behavior_type: user behavior type (including four behaviors of clicking, collecting, adding to shopping cart, and paying, respectively represented by numbers 1, 2, 3, and 4) user_geohash: geographic location item_category: category id (category to which the product belongs) time: the time when the user behavior occurred 3) Dimensions of analysis Analysis of traffic indicators User Behavior Analysis Funnel Churn Analysis RFM Analysis of User Value 4) Common analysis methods for e-commerce 5) What is funnel analysis? “Funnel analysis” is a set of process data analysis, which can scientifically reflect the state of user behavior, as well as an important analysis model of user conversion rate at each stage from the beginning…

1. Project background and analysis 1) Project background   Online shopping has become an indispensable part of people’s life. Based on the data of Taobao app platform, this project analyzes user behavior through relevant indicators, so as to explore user-related behavior patterns. 2) Data and field description   The data set used in this article contains the user behavior data of Taobao App mobile terminal within one month from 2014.11.18 to 2014.12.18. The data has 12256906 days of records, a total of 6 columns of data. user_id: user identity item_id: item id behavior_type: user behavior type (including four behaviors of clicking, collecting, adding to shopping cart, and paying, respectively represented by numbers 1, 2, 3, and 4) user_geohash: geographic location item_category: category id (category to which the product belongs) time: the time when the user behavior occurred 3) Dimensions of analysis Analysis of traffic indicators User Behavior Analysis Funnel Churn Analysis RFM Analysis of User Value 4) Common analysis methods for e-commerce 5) What is funnel analysis? “Funnel analysis” is a set of process data analysis, which can scientifically reflect the state of user behavior, as well as an important analysis model of user conversion rate at each stage from the beginning…