Dontopedia

Sprint Data

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-07.)

Sprint Data has 32 facts recorded in Dontopedia across 6 references, with 8 live disagreements.

32 facts·18 predicates·6 sources·8 in dispute

Mostly:rdf:type(4), has column(3), column values(3)

Maturity scale raw canonical shape-checked rule-derived certified

Inbound mentions (13)

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.

displaysDisplays(2)

displaysDataDisplays Data(2)

rendersRenders(2)

affectsAffects(1)

createsDataFrameCreates Data Frame(1)

fetchesFetches(1)

initializedByInitialized by(1)

managesDataManages Data(1)

passesDataPasses Data(1)

utilizesUtilizes(1)

Other facts (30)

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.

30 facts
PredicateValueRef
Rdf:typePandas Data Frame[1]
Rdf:typeDataset[2]
Rdf:typeSample Data[3]
Rdf:typeData Structure[5]
Has ColumnTask[1]
Has ColumnSprint Duration[1]
Has ColumnSprint Label[1]
Column ValuesTask Ids[1]
Column ValuesSprint Durations[1]
Column ValuesSprint Labels[1]
Displayed inTable[4]
Displayed inDashboard[4]
Displayed inDashboard Template[5]
Contains FieldSprint[3]
Contains FieldCompletion Percentage[3]
Contains KeySprint[3]
Contains KeyCompletion Percentage[3]
ContainsOverall Completion Percentage[5]
ContainsTarget Coverage[5]
Variable Namesprint_data[3]
Has FieldSprint Field[3]
Initialized Withdict[3]
Converted toPandas Dataframe[3]
InitializesPandas Dataframe[3]
Has StructureDictionary[3]
Data StructureTable[4]
Source forDashboard Template[4]
Structured AsTable Format[5]
IncludesSprint Completion Percentages[6]
Has PartSprint Completion Percentages[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.

typebeam/16d89879-916d-41b5-b2b5-74925939f0b9
ex:PandasDataFrame
hasColumnbeam/16d89879-916d-41b5-b2b5-74925939f0b9
Task
hasColumnbeam/16d89879-916d-41b5-b2b5-74925939f0b9
Sprint Duration
hasColumnbeam/16d89879-916d-41b5-b2b5-74925939f0b9
Sprint Label
columnValuesbeam/16d89879-916d-41b5-b2b5-74925939f0b9
ex:task-ids
columnValuesbeam/16d89879-916d-41b5-b2b5-74925939f0b9
ex:sprint-durations
columnValuesbeam/16d89879-916d-41b5-b2b5-74925939f0b9
ex:sprint-labels
typebeam/845ef0dd-c655-43a6-9b85-4b9a8fb2942a
ex:Dataset
labelbeam/845ef0dd-c655-43a6-9b85-4b9a8fb2942a
Sprint Data
typebeam/320d3af8-439e-425a-92c5-57b8d18095d4
ex:SampleData
variableNamebeam/320d3af8-439e-425a-92c5-57b8d18095d4
sprint_data
hasFieldbeam/320d3af8-439e-425a-92c5-57b8d18095d4
ex:sprint-field
containsFieldbeam/320d3af8-439e-425a-92c5-57b8d18095d4
Sprint
containsFieldbeam/320d3af8-439e-425a-92c5-57b8d18095d4
Completion Percentage
initializedWithbeam/320d3af8-439e-425a-92c5-57b8d18095d4
dict
convertedTobeam/320d3af8-439e-425a-92c5-57b8d18095d4
ex:pandas-dataframe
initializesbeam/320d3af8-439e-425a-92c5-57b8d18095d4
ex:pandas-dataframe
hasStructurebeam/320d3af8-439e-425a-92c5-57b8d18095d4
ex:dictionary
containsKeybeam/320d3af8-439e-425a-92c5-57b8d18095d4
Sprint
containsKeybeam/320d3af8-439e-425a-92c5-57b8d18095d4
Completion Percentage
displayedInbeam/5d44e0b4-028d-4fe8-84d0-79e0ac5c66bd
ex:table
dataStructurebeam/5d44e0b4-028d-4fe8-84d0-79e0ac5c66bd
ex:table
displayedInbeam/5d44e0b4-028d-4fe8-84d0-79e0ac5c66bd
ex:dashboard
sourceForbeam/5d44e0b4-028d-4fe8-84d0-79e0ac5c66bd
ex:dashboard-template
typebeam/5215883d-26b8-405f-95fc-207252834309
ex:DataStructure
labelbeam/5215883d-26b8-405f-95fc-207252834309
Sprint Completion Data
displayedInbeam/5215883d-26b8-405f-95fc-207252834309
ex:dashboard-template
structuredAsbeam/5215883d-26b8-405f-95fc-207252834309
ex:table-format
containsbeam/5215883d-26b8-405f-95fc-207252834309
ex:overall-completion-percentage
containsbeam/5215883d-26b8-405f-95fc-207252834309
ex:target-coverage
includesbeam/e8e91ffe-0f55-4816-b933-d08b613b7929
ex:sprint-completion-percentages
hasPartbeam/e8e91ffe-0f55-4816-b933-d08b613b7929
ex:sprint-completion-percentages

References (6)

6 references
  1. ctx:claims/beam/16d89879-916d-41b5-b2b5-74925939f0b9
    • full textbeam-chunk
      text/plain1 KBdoc:beam/16d89879-916d-41b5-b2b5-74925939f0b9
      Show excerpt
      Here's an example implementation: ```python import pandas as pd import numpy as np # Generate sample data for 50 tasks np.random.seed(0) # For reproducibility task_ids = [f'Task {i+1}' for i in range(50)] sprint_durations = np.random.cho
  2. ctx:claims/beam/845ef0dd-c655-43a6-9b85-4b9a8fb2942a
  3. ctx:claims/beam/320d3af8-439e-425a-92c5-57b8d18095d4
  4. ctx:claims/beam/5d44e0b4-028d-4fe8-84d0-79e0ac5c66bd
    • full textbeam-chunk
      text/plain1 KBdoc:beam/5d44e0b4-028d-4fe8-84d0-79e0ac5c66bd
      Show excerpt
      - The `app.py` file sets up a Flask application. - It defines a route `/` to render the dashboard template. - It defines a route `/update` to handle updates to the sprint completion percentages via a POST request. 2. **Dashboard T
  5. ctx:claims/beam/5215883d-26b8-405f-95fc-207252834309
    • full textbeam-chunk
      text/plain1 KBdoc:beam/5215883d-26b8-405f-95fc-207252834309
      Show excerpt
      $('#update-form').on('submit', function(event) { event.preventDefault(); var sprint = $('#sprint').val(); var percentage = $('#percentage').val(); $.ajax({
  6. ctx:claims/beam/e8e91ffe-0f55-4816-b933-d08b613b7929
    • full textbeam-chunk
      text/plain1 KBdoc:beam/e8e91ffe-0f55-4816-b933-d08b613b7929
      Show excerpt
      </tr> {% endfor %} </tbody> </table> </body> </html> ``` ### Explanation 1. **User Instructions:** - Stored in a JSON file (`user_instructions.json`) and loaded into the Flask application. - Displ

See also

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