Figure 6 - uploaded by Olav Ten Bosch
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![Validation dashboard with active filters. writing the generic report structure and translating it into markdown. A typical example of markdown output may look like this ([snip] indicates we left a bit of code out for compactness).-Event id : 00175-type : validation-actor : R version 3.4.4 (2018-03-15) [snip] running on x86_64-pc-linux-gnu-agent : Olav-trigger : Task2_Metrics validation-Value : FALSE-Source data : 25-Target data : 25 [snip]-Rule :-language : R package validate 0.2.0-severity : error [snip]-Rule expression: ''' !(Age > 65) | (Working_hours = 0) ''' Using freely available tools such as pandoc, the already readable markdown format can be converted for example into HTML. An example is shown in Figure 7.](profile/Olav-Ten-Bosch-2/publication/327385570/figure/fig5/AS:666318541975554@1535874128169/Validation-dashboard-with-active-filters-writing-the-generic-report-structure-and.png)
Validation dashboard with active filters. writing the generic report structure and translating it into markdown. A typical example of markdown output may look like this ([snip] indicates we left a bit of code out for compactness).-Event id : 00175-type : validation-actor : R version 3.4.4 (2018-03-15) [snip] running on x86_64-pc-linux-gnu-agent : Olav-trigger : Task2_Metrics validation-Value : FALSE-Source data : 25-Target data : 25 [snip]-Rule :-language : R package validate 0.2.0-severity : error [snip]-Rule expression: ''' !(Age > 65) | (Working_hours = 0) ''' Using freely available tools such as pandoc, the already readable markdown format can be converted for example into HTML. An example is shown in Figure 7.
Source publication
Data validation is one of the cornerstones of the production of official statistics. Data needs to be validated and the outputs of the possibly numerous validation checks, reported in some way need to be studied and processed. Especially in the case of cross-organization validation, where both a data producer and a data receiver check the same data...
Context in source publication
Context 1
... chart in the dashboard operates as a filter that is activated by clicking on it. Figure 6 shows the dashboard where fails of severity information generated by the R package validate are selected. Clearly there is another distribution of validation rules displayed. This way a user can drill down to the validation events of interest. If the validation report contains identifiers to the data involved, the dashboard could use the identifiers to guide the user directly to the right record in the data in an editing application. The dashboard itself is based on the dimensional charting library (dc.js) which works together with the crossfilter library for fast n-dimensional filtering and grouping of records ...
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