MySQL数据可视化实战指南和注意事项

-- 示例：去除空值并计算平均值
SELECT 
  DATE(created_at) AS date,
  AVG(amount) AS avg_amount
FROM orders
WHERE amount IS NOT NULL
GROUP BY date;

-- 计算每日增长率
SELECT 
  date,
  sales,
  (sales - LAG(sales) OVER (ORDER BY date)) / LAG(sales) OVER (ORDER BY date) AS growth_rate
FROM daily_sales;

-- 生成文本直方图（MySQL 8.0+）
SELECT 
  price_range,
  REPEAT('■', COUNT(*)/10) AS bar_chart -- 每10个计数显示一个方块
FROM (
  SELECT 
    FLOOR(price/10)*10 AS price_range 
  FROM products
) tmp
GROUP BY price_range;

-- 查询结果导出为CSV
SELECT * INTO OUTFILE '/tmp/sales_data.csv'
FIELDS TERMINATED BY ',' 
FROM sales_report;

# Docker一键部署
docker run -d -p 3000:3000 --name metabase metabase/metabase

graph LR
A[MySQL数据库] --> B[配置数据源]
B --> C[编写SQL查询]
C --> D[选择图表类型]
D --> E[发布仪表板]

-- 7日移动平均
SELECT
  date,
  AVG(sales) OVER (ORDER BY date ROWS BETWEEN 6 PRECEDING AND CURRENT ROW) AS ma7
FROM daily_sales;

SELECT 
  store_id,
  ST_X(geolocation) AS lng,
  ST_Y(geolocation) AS lat 
FROM stores;

SELECT 
  CONCAT(LEFT(email, 2), '****@domain.com') AS masked_email 
FROM users;