Data
PromptBeginner5 minmarkdown
context_definition: In this dataset
context refers to the underlying frame that defines what the conversation is really about: whether it is operating at the level of surface tasks and information exchange
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Productivity
PromptBeginner5 minmarkdown
{ axis: problem framing (surface task vs underlying meaning)
weight: primary }
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Data
PromptBeginner5 minmarkdown
3. In this dataset
what does context changed mean?
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Data
PromptBeginner5 minmarkdown
2. In this dataset
what does stayed in the same context mean?
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Productivity
PromptBeginner5 minmarkdown
Her tears are about her
not your love - breaks the automatic equation
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Data
PromptBeginner5 minmarkdown
→ Offers techniques (visualization
breathing)
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Productivity
PromptBeginner5 minmarkdown
5. Separates automatic equations (e.g.
love = obedience)
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Data
PromptBeginner5 minmarkdown
In a technical dataset
context might mean problem scope.
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Data
PromptBeginner5 minmarkdown
In a philosophical dataset
context might mean abstraction level.
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Data
PromptBeginner5 minmarkdown
In a therapy dataset
context might mean emotional depth.
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Data
PromptBeginner5 minmarkdown
in any given dataset
then scans for transformative questions.
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Data
PromptBeginner5 minmarkdown
3. In this dataset
what does context changed mean?
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Data
PromptBeginner5 minmarkdown
2. In this dataset
what does stayed in the same context mean?
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Data
PromptBeginner5 minmarkdown
- Ensure the reader can distinguish between observed data
reported information
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Data
PromptBeginner5 minmarkdown
(data
trends
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Data
PromptBeginner5 minmarkdown
You can visualize data
but not to prove.
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Data
PromptBeginner5 minmarkdown
- Popularity sorting rationale (e.g.
based on viewership data from sources like Nielsen)
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Productivity
PromptBeginner5 minmarkdown
- And a note that schedules can change due to weather
injuries
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Productivity
PromptBeginner5 minmarkdown
Base the list on the most up-to-date schedules from reliable sources (e.g.
ESPN
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Productivity
PromptBeginner5 minmarkdown
Organize the information with a separate markdown table for each day that has at least one notable event. Place the date as a level-3 heading above each table (e.g.
### February 6
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Data
PromptBeginner5 minmarkdown
1. Grok (xAI) – Excellent real-time updates
tool access for verification
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Data
PromptBeginner5 minmarkdown
def get_mutual_connections(profile_data: dict
user_network: list = None) -> list[str]:
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Data
PromptBeginner5 minmarkdown
def get_recent_activity(profile_data: dict
days: int = 30) -> list[dict]:
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Data
PromptBeginner5 minmarkdown
from dataclasses import dataclass
asdict
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