Fig
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-08.)
Fig has 13 facts recorded in Dontopedia across 3 references, with 2 live disagreements.
Mostly:rdf:type(2), created by(2), luscious when ripe(1)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (6)
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.
addressesDearToAddresses Dear to(1)
- Bullock Conductor
ex:bullock-conductor
calledOnCalled on(1)
- Fig.update Layout
ex:fig.update_layout
figureVariableFigure Variable(1)
- Figure Axis
ex:figure-axis
generatedFromGenerated From(1)
- Chart Html
ex:chart_html
hasParentHas Parent(1)
- Ax
ex:ax
knowsWhatKeepStraightMeansKnows What Keep Straight Means(1)
- Bullock Conductor
ex:bullock-conductor
Other facts (13)
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 |
|---|---|---|
| Rdf:type | Plotly Figure | [2] |
| Rdf:type | Matplotlib Figure | [3] |
| Created by | Go.figure | [2] |
| Created by | plt.subplots | [3] |
| Luscious When Ripe | true | [1] |
| Sweet to Palate | true | [1] |
| Nourishing | true | [1] |
| Described As Luscious Sweet Nourishing | Mr Tozer | [1] |
| Has Data | Go.bar | [2] |
| Layout Title | Challenge Priorities | [2] |
| X Axis Title | Challenges | [2] |
| Y Axis Title | Priority | [2] |
| Has Axes | Ax | [3] |
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 (3)
ctx:genes/trove-cooktown/north-shore-cooktownctx:claims/beam/48c3a949-f7c2-4c72-bbe5-2cfb75c44800ctx:claims/beam/26b8e404-cc30-4b2a-be24-b3f38b12b82c- full textbeam-chunktext/plain1 KB
doc:beam/26b8e404-cc30-4b2a-be24-b3f38b12b82cShow excerpt
"Azure_Cost": [0.14, 0.06, 0.25] }) ``` 3. **Create a Bar Chart Using Matplotlib**: Use `Matplotlib` to create a bar chart that compares the costs of different resources across AWS and Azure. ```python import matplot…
See also
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