To validate data completeness: use the "Missing Value" node to identify columns with missing values, use "GroupBy" node to calculate the percentage of missing values for each column (or aggregation nodes), set a threshold for acceptable missing values (e.g., 5% or 10%) and filter out columns exceeding this threshold.
To validate data accuracy: identify the reference or trusted data source that represents accurate values for comparison, use the "Joiner" node to join or merge your data with the reference data, generate summary statistics on the discrepancies, such as mean, median, standard deviation, etc. and use the visualization nodes to visualize the discrepancies.
What are your typical benchmarks for patent award remuneration for your employees? Specifically, what amounts are commonly paid for: - Approved invention disclosures - Filed patent applications - Issued or granted patents
How long does your organization retain original systems logs used to filter SOX-related actions into a system that requires review of the logs and retains the filtered logs for seven years? Does your organization consider those original system logs records subject to record retention requirements, or supporting information used to create the SOX records?
90 Days12%
365 Days40%
3 years31%
5 years9%
7 years9%
Other (share in the comments)
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Which key pentesting capability do current AI-driven vendor solutions most fail to cover?
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To validate data completeness: use the "Missing Value" node to identify columns with missing values, use "GroupBy" node to calculate the percentage of missing values for each column (or aggregation nodes), set a threshold for acceptable missing values (e.g., 5% or 10%) and filter out columns exceeding this threshold.
To validate data accuracy: identify the reference or trusted data source that represents accurate values for comparison, use the "Joiner" node to join or merge your data with the reference data, generate summary statistics on the discrepancies, such as mean, median, standard deviation, etc. and use the visualization nodes to visualize the discrepancies.