第7章數據可視化
7.1在MySQL中創建表
7.1.1每日活躍統計
1）在MySQL中創建ads_uv_count表
DROP TABLE IF EXISTS ads_uv_count;
CREATE TABLE ads_uv_count (
dt varchar(255) DEFAULT NULL COMMENT ‘統計日期’,
day_count bigint(200) DEFAULT NULL COMMENT ‘當日用戶數量’,
wk_count bigint(200) DEFAULT NULL COMMENT ‘當週用戶數量’,
mn_count bigint(200) DEFAULT NULL COMMENT ‘當月用戶數量’,
is_weekend varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci DEFAULT NULL COMMENT ‘Y,N是否是週末,用於得到本週最終結果’,
is_monthend varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci DEFAULT NULL COMMENT ‘Y,N是否是月末,用於得到本月最終結果’
) ENGINE = InnoDB CHARACTER SET = utf8 COLLATE = utf8_general_ci COMMENT = ‘每日活躍用戶數量’ ROW_FORMAT = Dynamic;
2）向MySQL中插入如下數據
INSERT INTO ads_uv_count VALUES (‘2019-03-01 14:10:04’, 20, 30, 100, ‘N’, ‘N’);
INSERT INTO ads_uv_count VALUES (‘2019-03-02 14:12:48’, 35, 50, 100, ‘N’, ‘N’);
INSERT INTO ads_uv_count VALUES (‘2019-03-03 14:14:07’, 25, 640, 3300, ‘Y’, ‘Y’);
INSERT INTO ads_uv_count VALUES (‘2019-03-04 14:14:14’, 10, 23, 123, ‘N’, ‘N’);
INSERT INTO ads_uv_count VALUES (‘2019-03-05 14:14:21’, 80, 121, 131, ‘N’, ‘N’);
INSERT INTO ads_uv_count VALUES (‘2019-03-06 14:14:38’, 30, 53, 453, ‘N’, ‘N’);
INSERT INTO ads_uv_count VALUES (‘2019-03-07 14:33:27’, 20, 31, 453, ‘N’, ‘N’);
INSERT INTO ads_uv_count VALUES (‘2019-03-08 14:33:39’, 10, 53, 453, ‘N’, ‘N’);
INSERT INTO ads_uv_count VALUES (‘2019-03-09 14:33:47’, 10, 34, 453, ‘N’, ‘N’);
INSERT INTO ads_uv_count VALUES (‘2019-03-10 14:33:54’, 10, 653, 8453, ‘Y’, ‘Y’);
INSERT INTO ads_uv_count VALUES (‘2019-03-11 14:34:04’, 100, 453, 1453, ‘N’, ‘N’);
INSERT INTO ads_uv_count VALUES (‘2019-03-12 14:34:10’, 101, 153, 134, ‘N’, ‘N’);
INSERT INTO ads_uv_count VALUES (‘2019-03-13 14:34:16’, 100, 286, 313, ‘N’, ‘N’);
INSERT INTO ads_uv_count VALUES (‘2019-03-14 14:34:22’, 100, 45, 453, ‘N’, ‘N’);
INSERT INTO ads_uv_count VALUES (‘2019-03-15 14:34:29’, 100, 345, 3453, ‘N’, ‘N’);
INSERT INTO ads_uv_count VALUES (‘2019-03-16 14:34:35’, 101, 453, 453, ‘N’, ‘N’);
INSERT INTO ads_uv_count VALUES (‘2019-03-17 14:34:41’, 100, 678, 9812, ‘Y’, ‘Y’);
INSERT INTO ads_uv_count VALUES (‘2019-03-18 14:34:46’, 100, 186, 193, ‘N’, ‘N’);
INSERT INTO ads_uv_count VALUES (‘2019-03-19 14:34:53’, 453, 686, 712, ‘N’, ‘N’);
INSERT INTO ads_uv_count VALUES (‘2019-03-20 14:34:57’, 452, 786, 823, ‘N’, ‘N’);
INSERT INTO ads_uv_count VALUES (‘2019-03-21 14:35:02’, 214, 58, 213, ‘N’, ‘N’);
INSERT INTO ads_uv_count VALUES (‘2019-03-22 14:35:08’, 76, 78, 95, ‘N’, ‘N’);
INSERT INTO ads_uv_count VALUES (‘2019-03-23 14:35:13’, 76, 658, 745, ‘N’, ‘N’);
INSERT INTO ads_uv_count VALUES (‘2019-03-24 14:35:19’, 76, 687, 9300, ‘Y’, ‘Y’);
INSERT INTO ads_uv_count VALUES (‘2019-03-25 14:35:25’, 76, 876, 923, ‘N’, ‘N’);
INSERT INTO ads_uv_count VALUES (‘2019-03-26 14:35:30’, 76, 456, 511, ‘N’, ‘N’);
INSERT INTO ads_uv_count VALUES (‘2019-03-27 14:35:35’, 76, 456, 623, ‘N’, ‘N’);
INSERT INTO ads_uv_count VALUES (‘2019-03-28 14:35:41’, 43, 753, 4000, ‘N’, ‘N’);
INSERT INTO ads_uv_count VALUES (‘2019-03-29 14:35:47’, 76, 876, 4545, ‘N’, ‘N’);
INSERT INTO ads_uv_count VALUES (‘2019-03-30 14:35:57’, 76, 354, 523, ‘N’, ‘N’);
INSERT INTO ads_uv_count VALUES (‘2019-03-31 14:36:02’, 43, 634, 6213, ‘Y’, ‘Y’);
7.1.2留存率統計
1）在MySQL中創建ads_user_retention_day_rate表
DROP TABLE IF EXISTS ads_user_retention_day_rate;
CREATE TABLE ads_user_retention_day_rate (
stat_date varchar(255) DEFAULT NULL COMMENT ‘統計日期’,
create_date varchar(255)DEFAULT NULL COMMENT ‘設備新增日期’,
retention_day bigint(200) DEFAULT NULL COMMENT ‘截止當前日期留存天數’,
retention_count bigint(200) DEFAULT NULL COMMENT ‘留存數量’,
new_mid_count bigint(200) DEFAULT NULL COMMENT ‘當日設備新增數量’,
retention_ratio decimal(10, 2) DEFAULT NULL COMMENT ‘留存率’
) ENGINE = InnoDB CHARACTER SET = utf8 COLLATE = utf8_general_ci COMMENT = ‘每日用戶留存情況’ ROW_FORMAT = Dynamic;
2）向MySQL中插入數據
INSERT INTO ads_user_retention_day_rate VALUES (‘2019-03-08’, ‘2019-03-09’, 1,88, 99, 0.78);
INSERT INTO ads_user_retention_day_rate VALUES (‘2019-03-08’, ‘2019-03-10’, 2,77, 88, 0.68);
INSERT INTO ads_user_retention_day_rate VALUES (‘2019-03-08’, ‘2019-03-11’, 3,66, 77, 0.58);
INSERT INTO ads_user_retention_day_rate VALUES (‘2019-03-08’, ‘2019-03-12’, 4,55, 66, 0.48);
INSERT INTO ads_user_retention_day_rate VALUES (‘2019-03-08’, ‘2019-03-13’, 5,44, 55, 0.38);
INSERT INTO ads_user_retention_day_rate VALUES (‘2019-03-08’, ‘2019-03-14’, 6,33, 44, 0.28);
INSERT INTO ads_user_retention_day_rate VALUES (‘2019-03-09’, ‘2019-03-10’, 1,77, 88, 0.56);
INSERT INTO ads_user_retention_day_rate VALUES (‘2019-03-09’, ‘2019-03-11’, 2,66, 77, 0.46);
INSERT INTO ads_user_retention_day_rate VALUES (‘2019-03-09’, ‘2019-03-12’, 3,55, 66, 0.36);
INSERT INTO ads_user_retention_day_rate VALUES (‘2019-03-09’, ‘2019-03-13’, 4,44, 55, 0.26);
INSERT INTO ads_user_retention_day_rate VALUES (‘2019-03-09’, ‘2019-03-14’, 5,33, 44, 0.16);
INSERT INTO ads_user_retention_day_rate VALUES (‘2019-03-10’, ‘2019-03-11’, 1,66, 77, 0.55);
INSERT INTO ads_user_retention_day_rate VALUES (‘2019-03-10’, ‘2019-03-12’, 2,55, 66, 0.45);
INSERT INTO ads_user_retention_day_rate VALUES (‘2019-03-10’, ‘2019-03-13’, 3,44, 55, 0.35);
INSERT INTO ads_user_retention_day_rate VALUES (‘2019-03-10’, ‘2019-03-14’, 4,33, 44, 0.25);
7.1.3漏斗分析
1）在MySQL中創建ads_user_action_convert_day表
DROP TABLE IF EXISTS ads_user_action_convert_day;
CREATE TABLE ads_user_action_convert_day (
dt varchar(200) DEFAULT NULL COMMENT ‘統計日期’,
total_visitor_m_count bigint(20) DEFAULT NULL COMMENT ‘總訪問人數’,
order_u_count bigint(20) DEFAULT NULL COMMENT ‘下單人數’,
visitor2order_convert_ratio decimal(10, 2) DEFAULT NULL COMMENT ‘購物車到下單轉化率’,
payment_u_count bigint(20) DEFAULT NULL COMMENT ‘支付人數’,
order2payment_convert_ratio decimal(10, 2) DEFAULT NULL COMMENT ‘下單到支付的轉化率’
) ENGINE = InnoDB CHARACTER SET = utf8 COLLATE = utf8_general_ci COMMENT = ‘每日用戶行爲轉化率統計’ ROW_FORMAT = Dynamic;
2）向MySQL中插入數據
INSERT INTO ads_user_action_convert_day VALUES (‘2019-04-28 19:36:18’, 10000, 3000, 0.25, 2000, 0.15);
7.1.4GMV統計
1）在MySQL中創建ads_gmv_sum_day表
DROP TABLE IF EXISTS ads_gmv_sum_day;
CREATE TABLE ads_gmv_sum_day(
dt varchar(200) DEFAULT NULL COMMENT ‘統計日期’,
gmv_count bigint(20) DEFAULT NULL COMMENT ‘當日gmv訂單個數’,
gmv_amount decimal(16, 2) DEFAULT NULL COMMENT ‘當日gmv訂單總金額’,
gmv_payment decimal(16, 2) DEFAULT NULL COMMENT ‘當日支付金額’
) ENGINE = InnoDB CHARACTER SET = utf8 COLLATE = utf8_general_ci COMMENT = ‘每日活躍用戶數量’ ROW_FORMAT = Dynamic;
2）向MySQL中插入數據
INSERT INTO ads_gmv_sum_day VALUES (‘2019-03-01 22:51:37’, 1000, 210000.00, 2000.00);
INSERT INTO ads_gmv_sum_day VALUES (‘2019-05-08 22:52:32’, 3434, 12413.00, 1.00);
INSERT INTO ads_gmv_sum_day VALUES (‘2019-07-13 22:52:51’, 1222, 324345.00, 1.00);
INSERT INTO ads_gmv_sum_day VALUES (‘2019-09-13 22:53:08’, 2344, 12312.00, 1.00);
7.1.5 全國商品銷售
1）在MySQL中創建ads_gmv_sum_province表
DROP TABLE IF EXISTS ads_gmv_sum_province;
CREATE TABLE ads_gmv_sum_province (
province varchar(255) CHARACTER SET utf8 COLLATE utf8_general_ci DEFAULT NULL,
gmv bigint(255) DEFAULT NULL,
remark varchar(255) CHARACTER SET utf8 COLLATE utf8_general_ci DEFAULT NULL
) ENGINE = InnoDB CHARACTER SET = utf8 COLLATE = utf8_general_ci ROW_FORMAT = Dynamic;
2）向MySQL中插入數據
INSERT INTO ads_gmv_sum_province VALUES (‘北京’, 2000, ‘’);
INSERT INTO ads_gmv_sum_province VALUES (‘遼寧’, 30000, ‘瀋陽：21.1%，大連：20%，鞍山：35%’);
INSERT INTO ads_gmv_sum_province VALUES (‘浙江’, 8002, ‘杭州：20%，舟山：50%’);
7.2WEB頁面查看
1）運行spring-boot-echarts-master程序
2）在web頁面上查看顯示結果
http://localhost:8080/active