Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

docs: minor updates in getting-started.md #1072

Merged
Merged
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
4 changes: 2 additions & 2 deletions docs/getting-started.md
Original file line number Diff line number Diff line change
Expand Up @@ -146,7 +146,7 @@ import pandasai.pandas as pd
sales_by_country = pd.DataFrame({
"country": ["United States", "United Kingdom", "France", "Germany", "Italy", "Spain", "Canada", "Australia", "Japan", "China"],
"sales": [5000, 3200, 2900, 4100, 2300, 2100, 2500, 2600, 4500, 7000],
"deals_opened": [142, 80, 70, 90, 60, 50, 40, 30, 110, 120]
"deals_opened": [142, 80, 70, 90, 60, 50, 40, 30, 110, 120],
"deals_closed": [120, 70, 60, 80, 50, 40, 30, 20, 100, 110]
})

Expand Down Expand Up @@ -175,7 +175,7 @@ An agent will also be able to ask clarification questions if it does not have en
agent.clarification_question('What is the GDP of the United States?')
```

this will return up to 3 clarification questions that the agent can ask to the user to get more information to answer the query.
this will return up to 3 clarification questions that the agent can ask the user to get more information to answer the query.

### Explanation

Expand Down
Loading