I am trying to visualize a co-occurrence matrix. This matrix consists of two lists with terms (list1: n_columns & list2: n_rows). The data itself shows the article identifiers in which the terms co-occur. So 'potassium' and 'copper' co-occur in the articles '31593825', '31579618' etc.
alternative input -> single list (binary):
I tried to import and modify the data in Kibana in different ways, but I can't seem to find the right solution for this problem. The data in its current format looks un-visualizable to me and probably needs to be changed or saved in Elasticsearch in a specific way.
I want to create visualizations like a 'Wordcloud', 'Sunburst' or 'Co-occurrence network model'. Is there a solution to save the data in ES in such a way that I will be able to create all these visualizations? If not, only the 'Wordcloud'?