Filtering Columns

organizing your insights filtering and sorting columns as you create data columns, you might want to narrow your results to specific areas of interest this can be completed by filtering and/or sorting results filtering filtering is a powerful tool for insight generation in tabular select the filter icon on any column header to bring up the menu here, you can search and select exactly the result(s) needed for your project goals note, you can simultaneously filter across multiple columns to perform complex data manipulation filters also allow users to specify and / or criteria for multi keyword matching for example, if i am looking to limit a literature search to studies performed in the china or united states , i can create the following filter users can specify up to 4 keywords per filter filtering via yes / no columns an effective way to filter results in tabular is to create precise custom columns leveraging reliant’s powerful yes / no output type these columns are fine tuned to think carefully about the question, and return a binary yes / no answer whenever supported by evidence when no supporting evidence, or conflicting evidence is found, the model will return unclear say i run a pubmed search on clinical trial papers in huntington’s disease in the last 5 years i am interested in quickly classifying clinical trials that leverage viral vector delivery mechanisms to quickly identify and filter my results, i can use a yes / no column yes / no column prompt does this clinical trial discuss the use of a viral vector (ex aav, lv, etc ) for delivery of the primary intervention? sorting select the carrot icon next to any column header to sort by alphabetical order or by the confidence of ai generated response when dealing with long text columns, toggle the wrap column feature to clean up your table view alternatively, select simplify column to use reliant’s language model to summarize cells for easier reading and interpretation splitting cells with multiple values for certain column types, this menu will give users the option to split cells with multiple values this feature will explode each row into multiple, one for each distinct value in a given cell one common application for this is to split unique product indication combinations into individual rows as follows product indication(s) product a indication 1, 2, 3 becomes product indication(s) product a indication 1 product a indication 2 product a indication 3 note this split functionality will occur automatically when certain columns are added for example, adding a dosage will automatically split the indications into unique rows to associate each with the corresponding dose