We can create a user table and an interest
Posted: Sat Apr 19, 2025 10:15 am
Data Visualization: We can use data visualization tools to convert the results into charts for better understanding of the data.
Example 2: User behavior analysis
Suppose we have a social media application and we want to analyze the behavior of users to understand their interests and preferences. We can use the following steps to perform data analysis:
Collected Data: We may collect data from our user database, including usa whatsapp lead user ID, username, gender, age, region, and interest tags.
Data cleaning : We need to clean the data and delete duplicate and missing data.
Data Modeling: tag table and connect them using foreign keys.
Data Analysis: We can use the following queries to analyze user behavior:
-- 按性别和年龄分组，并计算每个组的用户数
SELECT gender, FLOOR(age/10)*10 AS age_group, COUNT(*) AS user_count
FROM users
GROUP BY gender, age_group
ORDER BY gender, age_group;
-- 按兴趣标签分组，并计算每个标签的用户数
SELECT tag, COUNT(*) AS user_count
FROM users u
JOIN user_tags ut ON u.user_id = ut.user_id
JOIN tags t ON ut.tag_id = t.tag_id
GROUP BY tag
ORDER BY user_count DESC
LIMIT 10;
Data Visualization: We can use data visualization tools to convert the results into charts for better understanding of the data.
Example 2: User behavior analysis
Suppose we have a social media application and we want to analyze the behavior of users to understand their interests and preferences. We can use the following steps to perform data analysis:
Collected Data: We may collect data from our user database, including usa whatsapp lead user ID, username, gender, age, region, and interest tags.
Data cleaning : We need to clean the data and delete duplicate and missing data.
Data Modeling: tag table and connect them using foreign keys.
Data Analysis: We can use the following queries to analyze user behavior:
-- 按性别和年龄分组，并计算每个组的用户数
SELECT gender, FLOOR(age/10)*10 AS age_group, COUNT(*) AS user_count
FROM users
GROUP BY gender, age_group
ORDER BY gender, age_group;
-- 按兴趣标签分组，并计算每个标签的用户数
SELECT tag, COUNT(*) AS user_count
FROM users u
JOIN user_tags ut ON u.user_id = ut.user_id
JOIN tags t ON ut.tag_id = t.tag_id
GROUP BY tag
ORDER BY user_count DESC
LIMIT 10;
Data Visualization: We can use data visualization tools to convert the results into charts for better understanding of the data.