{
"code": 200,
"data": [
{
"theme_id": "3d9bc079-74c4-4aae-bee1-550beec6f0fa",
"session_id": "b338272b-e020-4d1e-bc33-3d25c8ac16f8",
"message_id": "6b6f5ba0-390a-44a7-93d4-6dcab72cb70f",
"question": "销售增长率Top10的城市",
"rewritten_question": "销售增长率Top10的城市",
"answer": {
"action": "query",
"explain": "该查询旨在找出销售增长率最高的前十个城市,通过计算每个城市每月的销售额,并与上月销售额进行比较,最终得出平均增长率。",
"thoughts": "To find the top 10 cities with the highest sales growth rate, I need to calculate the growth rate for each city and then order them by this rate.",
"query": "WITH `CityMonthlySales` AS (SELECT `终端市`, `年`, `月`, SUM(`金额`) AS `月销售额` FROM `明细表` WHERE `终端市` <> '' GROUP BY `终端市`, `年`, `月`), `CityGrowthRates` AS (SELECT `终端市`, `年`, `月`, `月销售额`, LAG(`月销售额`) OVER (PARTITION BY `终端市` ORDER BY `年`, `月`) AS `上月销售额` FROM `CityMonthlySales`), `CityGrowthCalculations` AS (SELECT `终端市`, `年`, `月`, (`月销售额` - `上月销售额`) / `上月销售额` AS `增长率` FROM `CityGrowthRates` WHERE NOT `上月销售额` IS NULL) SELECT `终端市`, AVG(`增长率`) AS `平均增长率` FROM `CityGrowthCalculations` GROUP BY `终端市` ORDER BY `平均增长率` DESC LIMIT 10"
},
"sql": "WITH `CityMonthlySales` AS (SELECT `终端市`, `年`, `月`, SUM(`金额`) AS `月销售额` FROM `明细表` WHERE `终端市` <> '' GROUP BY `终端市`, `年`, `月`), `CityGrowthRates` AS (SELECT `终端市`, `年`, `月`, `月销售额`, LAG(`月销售额`) OVER (PARTITION BY `终端市` ORDER BY `年`, `月`) AS `上月销售额` FROM `CityMonthlySales`), `CityGrowthCalculations` AS (SELECT `终端市`, `年`, `月`, (`月销售额` - `上月销售额`) / `上月销售额` AS `增长率` FROM `CityGrowthRates` WHERE NOT `上月销售额` IS NULL) SELECT `终端市`, AVG(`增长率`) AS `平均增长率` FROM `CityGrowthCalculations` GROUP BY `终端市` ORDER BY `平均增长率` DESC LIMIT 10",
"card": {
"dimensions": [
"终端市"
],
"metrics": [
{
"name": "平均增长率",
"formatType": "PERCENTAGE"
}
],
"viz_config": {
"xAxis": [
{
"type": "category"
}
],
"yAxis": [
{
"type": "value"
}
],
"series": [
{
"type": "bar",
"encode": {
"x": "终端市",
"y": "平均增长率",
"value": null,
"itemName": null
},
"yAxisIndex": null,
"label": true
}
]
}
},
"recommended_cards": [
{
"card_id": "p3316b9dbf8ed4b479500962",
"card_name": "用户访问次数",
"page_id": "sfaa1c3306db24e2e8ba1d14",
"page_name": "BI平台用户行为分析",
"recommend_id": "ab5dc6e4-83df-4100-a026-40750abe126d",
"relevance_score": 6.466653,
"is_relevant_feedback": true
}
],
"table": [
{
"table_id": "n46c4d92b623041ada6c209c",
"table_name": "明细表"
}
],
"user_info": {
"user_id": "bWF0YW9AZ3VhbmRhdGEuY29t",
"username": null
},
"feedback": {
"is_collected": false,
"vote": {
"vote_type": null,
"comment": null
}
},
"answer_status": "success",
"created_at": "2024-10-08 17:35:11",
"query_status": "success",
"query_result": {
"columns": [
{
"name": "终端市",
"fdType": "STRING",
"seqNo": 0
},
{
"name": "平均增长率",
"fdType": "DOUBLE",
"seqNo": 1
}
],
"preview": [
[
"桂林市",
"32.409091"
],
[
"石家庄市",
"21.696739"
],
[
"呼和浩特市",
"8.650959"
],
[
"郑州市",
"5.961451"
],
[
"神农架林区",
"5.760847"
],
[
"恩施市",
"5.396952"
],
[
"南昌市",
"1.935376"
],
[
"张家界市",
"1.039843"
],
[
"抚州市",
"0.641807"
],
[
"鄂州市",
"0.622905"
]
]
}
}
]
}