KNIME Analytics Platform is the open source software for creating data science tools. Intuitive, open, and continuously integrating new developments, KNIME makes understanding data and designing data science workflows and reusable components accessible to everyone.
KNIME let users connect nodes, where data related functions are implemented, to realize a variety of data analytics.
We also adopt KNIME Analytics Platform as a standard tool in our data analysis seminar.
Manipulation | Read, concatenate, divide, row and column operations, export to databases or files, and so on. |
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Calculation | Any kind of statistics, such as max, min, average, standard deviation, pivot table, can be computed. |
Visualization | Scatter, line, bar, pie, and many more chart styles are available. |
Modeling | Decision tree, regression, clustering and many other modeling methods are pre-implemented. Also, many other open source tool such as Python can be incorporated in KNIME workflow. |
KNIME comes with more than 2500 nodes, which allow us to realize any of desired analysis by combining them in workflows.
Data flow from loading data to modeling
Suggests correlation between items.
Plots can be colored by labels, which enable us to distinguish trends by features.
Discover valid conditions.
Identify critical feature conditions. For instance, it extracts a certain condition of some products to cause a failure.
The condition is expressed as a collection of logical formulas.