【发布时间】：2018-04-04 12:58:55
【问题描述】：
我也是 Vega 和 Kibana 的新手，我试图创建一个散点图来显示主题标签及其平均极性，但是我遇到了两个方面的问题，首先是聚合平均极性，其次是从文档中访问主题标签文本字段。
我试图获得平均极性的代码（现在只是在时间尺度上显示）：
{$schema: https://vega.github.io/schema/vega-lite/v2.json
data: {
# URL object is a context-aware query to Elasticsearch
url: {
# The %-enclosed keys are handled by Kibana to modify the query
# before it gets sent to Elasticsearch. Context is the search
# filter as shown above the dashboard. Timefield uses the value
# of the time picker from the upper right corner.
%context%: true
%timefield%: timestamp
index: tw
body: {
size: 10000
_source: ["timestamp", "user_lang", "country", "polarity", "lang", "sentiment"]
}
}
# We only need the content of hits.hits array
format: {property: "hits.hits"}
}
# Parse timestamp into a javascript date value
transform: [
{calculate: "toDate(datum._source['timestamp'])", as: "time"}
]
# Draw a circle, with x being the time field, and y - number of bytes
mark: line
encoding: {
x: {field: "time", type: "temporal"}
y: {aggregate: "mean", field: "_source.polarity", type: "quantitative"}
}
}
这给了我一个错误，无法读取未定义的属性“极性”。一旦我摆脱聚合它就可以工作，但我想显示平均而不是所有数据。
另外，我不知道如何访问嵌套的主题标签文本字段，我试过 _source.hashtags.text 但没有用：
示例文档：
{
"_index": "tw",
"_type": "tweet",
"_id": "_HHWSGIBbYt8wc5TlB8B",
"_score": 1,
"_source": {
"lang": "en",
"favorited": false,
"sentiment": "positive",
"user_lang": "en",
"user_screenname": "BrideWiltshire",
"timestamp": "2018-03-21T13:54:04.928556",
"user_follow_count": 147,
"hashtags": [
{
"indices": [
8,
12
],
"text": "WIN"
}
],
"user_stat_count": 3377,
"user_fav_count": 11,
"coordinates": null,
"source": """<a href="https://panel.socialpilot.co/" rel="nofollow">SocialPilot.co</a>""",
"subjectivity": 0.3333333333333333,
"user_friends_count": 62,
"polarity": 0.5333333333333333,
"text": "Want to #WIN ‘His and Hers’ luggage labels from @DavidHampton, worth more than £100? Enter our competition now",
"message": "Want to #WIN ‘His and Hers’ luggage labels from @DavidHampton, worth more than £100? Enter our competition now",
"country": null,
"user_name": "Wiltshire Bride",
"favorite_count": 0
}
},
映射：
{
"tw": {
"mappings": {
"tweet": {
"properties": {
"coordinates": {
"type": "text",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
}
}
},
"country": {
"type": "keyword"
},
"favorite_count": {
"type": "long"
},
"favorited": {
"type": "boolean"
},
"hashtags": {
"properties": {
"indices": {
"type": "long"
},
"text": {
"type": "text",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
}
}
}
}
},
"lang": {
"type": "text"
},
"location": {
"type": "text",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
}
}
},
"message": {
"type": "text",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
}
}
},
"polarity": {
"type": "float"
},
"sentiment": {
"type": "text",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
}
}
},
"source": {
"type": "text"
},
"subjectivity": {
"type": "float"
},
"text": {
"type": "text"
},
"time_zone": {
"type": "text",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
}
}
},
"timestamp": {
"type": "date"
},
"user": {
"properties": {
"favourites_count": {
"type": "long"
},
"followers_count": {
"type": "long"
},
"friends_count": {
"type": "long"
},
"lang": {
"type": "text"
},
"name": {
"type": "text"
},
"screen_name": {
"type": "text"
},
"statuses_count": {
"type": "long"
}
}
},
"user_fav_count": {
"type": "long"
},
"user_follow_count": {
"type": "long"
},
"user_friends_count": {
"type": "long"
},
"user_lang": {
"type": "text",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
}
}
},
"user_name": {
"type": "text",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
}
}
},
"user_screenname": {
"type": "text",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
}
}
},
"user_stat_count": {
"type": "long"
}
}
}
}
}
}
【问题讨论】：
-
我试图重现，你的例子对我来说似乎表现得很好。
VEGA_DEBUG.view.data('source_0')提供什么？ -
ive 尝试使用调试工具，@StevenEnsslen 但我发现它令人困惑，因为 Kibana 显示错误但是该工具似乎没有帮助它，这就是我从运行原始代码时得到的问题：`VEGA_DEBUG.view.data('source_0') (2491) [{...}, {...}, {...}, {...}, {...}, {...}, {...}, {...}, {…}、{…}、{…}、{…}、{…}、{…}、{…}、{…}、{…}、{…}、{…}、{…}、{… }、{…}、{…}、{…}、{…}、{…}、{…}、{…}、{…}、{…}、{…}、{…}、{…}、 {…}、{…}、{…}、{…}、{…}、{…}、{…}、{…}、{…}、{…}、{…}、…]` .js?v=16588:58 XHR 完成加载：POST "x.x.x.x:5601/elasticsearch/tw/_search"。`
-
这是开发人员控制台@Angelika 中大型数组的标准行为。虽然我已经放弃尝试为它寻找参考。如果您扩展各个范围，您应该会看到您的对象。它们的格式应该像
0: Object { timestamp:"2018-03-21T13:54:04.928556", user_lang:"en", polarity: 0.5333333333333333, lang:"en", sentiment:"positive"}通常的问题是format不完整或者列有不同的名称，根据我的经验，这两个通常都是输入错误。
标签： javascript data-visualization kibana vega vega-lite