🥷 [S2] Challenge 12
Just KNIME It, Season 2 / Challenge 12 reference
Just KNIME It, Season 2 / Challenge 12 reference
Just KNIME It, Season 2 / Challenge 11 reference
在 5.2.3 GroupBy(分组聚合)节点中,指北君提到了 Type-Based Aggregation 标签页和 Pattern Based Aggregation 标签页,这两个标签页可以用来对某一类型的列或某一种名称模式的列进行计算。下面我们来看一下例子。
Just KNIME It, Season 2 / Challenge 10 reference
Just KNIME It, Season 2 / Challenge 09 reference
重要★★★ 难度★☆☆ column expressions(列表达式)节点。 列表达式节点是一个综合了 String Manipulation(字符串操作)节点以及 Math Formula(数学公式)节点,甚至 Rule Engine(规则引擎)节点等功能的一个综合性节点。
重要★★★ 难度★☆☆ Row Filter(行过滤)节点,其配置界面如图5-18所示。根据选定的条件进行过滤,然后将最终结果进行排除(exclude)或包含(include)。可以简单设置匹配条件,也可以使用通配符、正则表达式、范围,甚至行号进行匹配。
《KNIME 视觉化数据分析》
Just KNIME It, Season 2 / Challenge 08 reference
The Eurovision Song Contest (ESC) is a song competition with participants mostly from european countries. In the contest finale, each country gives points to the others, and the sum of the received points determines the winning country. In this challenge, you will experiment with the Network Mining nodes in order to visualize (in a Network Viewer) the points given and received by each country. Note: The contest regulation changed over time, and it might make no sense to aggregate points from different editions.
视觉分析足球比赛数据的成功传球可以提供有价值的信息,帮助教练和球队经理制定明智的改进决策,以提升球队表现。
如何通过使用 KNIME 分析传球数据来提升足球球队的表现?
Just KNIME It, Season 2 / Challenge 07 reference