Csv Export
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-07.)
Csv Export has 14 facts recorded in Dontopedia across 6 references.
Mostly:contains total records(3), has total records(1), rdf:type(1)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (2)
Other subjects in dontopedia point AT this entity as a value. These are inverse relationships — e.g. "X motherOf this subject" — and answer questions the forward facts can't. Grouped by predicate.
functionalityFunctionality(1)
- Export Feedback
ex:export-feedback
hasFeatureHas Feature(1)
- Calculator Words Converter App
ex:calculator-words-converter-app
Other facts (14)
The long tail: predicates that appear too rarely to warrant their own section. Filter or scroll to find a specific one. Each row links to its source.
| Predicate | Value | Ref |
|---|---|---|
| Contains Total Records | 2818 | [2] |
| Contains Total Records | 2818 | [3] |
| Contains Total Records | 2818 | [4] |
| Has Total Records | 2818 | [1] |
| Rdf:type | Functionality | [5] |
| Output Format | Csv | [5] |
| Creates File | Feedback.csv | [5] |
| Writes Header | Csv Header | [5] |
| Iterates Over | Feedback List | [5] |
| Prints | Feedback List | [5] |
| Uses Csv Writer | Csv.writer | [5] |
| File Parameter | Filename | [5] |
| Newline Arg | '' | [5] |
| Preserves | All Inconsistencies | [6] |
Timeline
Timeline axis is valid_time — when each source says the fact was true in the world, not when Dontopedia learned about it. Retracted rows are kept for provenance; coloured stripes indicate the context kind.
References (6)
ctx:genes/rosie-reynolds-massacre-connection/nmp-events-export-20260508193632/row-0088-eid-10695ctx:genes/rosie-reynolds-massacre-connection/nmp-events-export-20260508193632/row-0148-eid-10758ctx:genes/rosie-reynolds-massacre-connection/nmp-events-export-20260508193632/row-0210-eid-10827ctx:genes/rosie-reynolds-massacre-connection/nmp-events-export-20260508193632/row-0865-eid-22359ctx:claims/beam/9b7db889-0329-4537-a65f-71185fc0771f- full textbeam-chunktext/plain1 KB
doc:beam/9b7db889-0329-4537-a65f-71185fc0771fShow excerpt
self.feedback.append({"comment": comment, "team_lead": team_lead, "timestamp": timestamp}) def get_feedback(self): return self.feedback def export_feedback(self, filename="feedback.csv"): import csv …
ctx:claims/beam/b00c301c-c592-4cd6-ad07-b1de426fb5c4- full textbeam-chunktext/plain970 B
doc:beam/b00c301c-c592-4cd6-ad07-b1de426fb5c4Show excerpt
This approach should help you identify the most common date formats in your dataset and pinpoint the root cause of the inconsistencies. [Turn 4500] User: I want to evaluate the performance of OpenRefine in cleaning metadata. Can you help m…
See also
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