The Data Explorer node offers a range of options for displaying properties of the input data in an interactive view.
The node supports custom CSS styling. You can simply put CSS rules into a single string and set it as a flow variable 'customCSS' in the node configuration dialog. You will find the list of available classes and their description on our documentation page.
<p>The interactive view consists of three tabs: a Statistics tab, a Nominal tab, and a Data Preview tab. The Statistics and Nominal tabs sum up the information in each column. The user can then decide which columns to include in further analysis.</p> <p>The <b>Numeric</b> tab shows the main statistical properties of the numerical data, such as minimum, maximum, median (optional), standard deviation, variance, skewness, kurtosis, overall sum, number of zero values, number of missing values, number of not-an-object values, as well as positive and negative infinity values. For each column, the node also calculates a histogram showing the value distribution.</p> <p>The <b>Nominal</b> tab lists the main properties of the nominal values, such as the number of missing values, unique values, and top n most frequent and infrequent values. In addition, for each data column there is a histogram showing the frequencies with which values occur in this column.</p> <p>The <b>Data Preview</b> tab shows the data selected for preview.</p>
A zipped version of the software site can be downloaded here.
You don't know what to do with this link? Read our NodePit Product and Node Installation Guide that explains you in detail how to install nodes to your KNIME Analytics Platform.
You want to see the source code for this node? Click the following button and we’ll use our super-powers to find it for you.
Do you have feedback, questions, comments about NodePit, want to support this platform, or want your own nodes or workflows listed here as well? Do you think, the search results could be improved or something is missing? Then please get in touch! Alternatively, you can send us an email to email@example.com, follow @NodePit on Twitter, or chat on Gitter!
Please note that this is only about NodePit. We do not provide general support for KNIME — please use the KNIME forums instead.