layout
From working notebook to live dashboard.
Turn the charts, tables and explanations in your notebook into a dashboard your team can use. Add filters, schedule refreshes and share it, with the analysis still connected underneath.
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The analysis, with its code and context
Inspect the queries, calculations and context behind the result.
Layout
A focused view for your team
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Give people answers they can explore.
Bring charts, tables, written explanations and interactive inputs into one view. Let your team explore a period or segment without editing SQL.
build anything
Data Apps
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Bring the key results into one view, with the underlying analysis still available.
Filters
Target Revenue Input
python
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import code_execution_environment as cee
month_options = ["All Months (2026 YTD)", "January", "February", "March", "April", "May", "June", "July", "August"]
month_filter = cee.ui.radio(month_options, value="All Months (2026 YTD)", label="Month (2026) — applies to the paper type, account manager, and region breakdowns below")
month_filter
Target Revenue
$1,2M
1
target_revenue
1
5m ago
Add filters to make it interactive
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Weekly Sales June 2026
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Name or email...
View
Share
Who has access
Everyone at Dunder Mifflin
34 people
No access
M
Michael Scott
michaelscott@dunder-mifflin.com
Full access
d
Dwight Schrute (You)
dwight.schrute@dunder-mifflin.com
View
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Email, Slack
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Embedded
app.orbithq.com/insights
Insights
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Keep improving the same analysis.
Ask a follow-up, adjust a chart, or update the underlying code. Keep reports organized with tags and make reviewed work easy to recognize.
more
Monthly Sales Trend
python
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import altair as alt
import pandas as pd
monthly_trend_plot_df = monthly_sales_trend.copy()
monthly_trend_plot_df["sale_month"] = pd.to_datetime(monthly_trend_plot_df["sale_month"])
chart_monthly_trend = alt.Chart(monthly_trend_plot_df).mark_bar().encode(
x=alt.X("yearmonth(sale_month):O", title="Month", axis=alt.Axis(format="%b %Y", labelAngle=-45)),
y=alt.Y("net_revenue:Q", title="Net Revenue", axis=alt.Axis(format="~s")),
tooltip=[alt.Tooltip("sale_month:T", format="%b %Y"), alt.Tooltip("net_revenue:Q", format=",.0f"), "orders", "units_sold"]
).properties(title="Monthly Net Revenue Trend (Jan 2024 – Aug 2026)")
chart_monthly_trend
Manager performance
2
trend_chart
4
1m ago
Change the color to #456732
Claude Sonnet 4.6
Customize with code or ask AI
Edit the underlying visualization or ask the agent for a change.
Sales June 2026
Status
Make the status of your work clear
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Sales June 2026
1
Tags
Art Club
Party Planning
Dunder Mifflin
Add tag
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Choose the view that explains the data
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What caused the drop?
Claude Sonnet 4.6
Have a follow-up question? Just ask
Return to the analysis to investigate what changed and why.
Drag, resize, move
Everything you love about classic dashboards
