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Visualize textual data through graphical representations for AI artists, designers, and animators to analyze and understand large datasets.
The DataSet_Visualizer
node is designed to help you visualize textual data through various graphical representations. This node is particularly useful for AI artists, designers, and animators who need to analyze and understand large datasets of text. By converting text data into visual formats such as word clouds, network graphs, and frequency graphs, this node makes it easier to identify patterns, trends, and relationships within the data. The primary goal of the DataSet_Visualizer
is to provide an intuitive and accessible way to explore and interpret textual information, enhancing your ability to make data-driven decisions in your creative projects.
This parameter expects a string containing the contents of the text file you wish to visualize. The text data will be processed to generate the visual representations. Ensure that the text is well-formatted and relevant to the analysis you intend to perform.
This parameter allows you to specify the character used to separate words or tags in your text data. The available options are comma
, colon
, space
, and pipe
. Choosing the correct separator is crucial for accurate parsing and visualization of the text data.
This integer parameter determines the number of top words to include in the word cloud visualization. The default value is 1, with a minimum of 1 and a maximum of 9999. Adjusting this value allows you to focus on the most frequent words in your dataset.
This integer parameter specifies the number of top co-occurring word pairs to include in the network graph. The default value is 1, with a minimum of 1 and a maximum of 9999. This setting helps you visualize the relationships between frequently co-occurring words.
This integer parameter sets the number of top words to display in the frequency graph. The default value is 1, with a minimum of 1 and a maximum of 9999. This parameter helps you identify the most common words in your text data.
This output parameter returns a list of file paths to the generated visualizations, including the word cloud, network graph, and frequency graph. These paths can be used to access and view the visual representations of your text data.
This output parameter provides a list of images corresponding to the generated visualizations. These images can be directly used in your projects or presentations to illustrate the insights derived from your text data.
WordCloudTop
, NetworkGraphTop
, and FrequencyGraphTop
parameters to focus on the most relevant words and relationships in your dataset.<error_message>
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