Noise Lab

print('Hello World, from python!')

packages = ["matplotlib", "pandas", "numpy"]

Parameters

API parameters

Contribution budget:

Epsilon:

Min: 0, Max: 64

Your conversion data

Average daily attributable conversion count PER BUCKET:

Data you want to track: Measurement goals

Data you want to track: Dimensions

Your aggregation strategy

Batching frequency:

Scaling:

Budget split (used for Scaling):

⚠️ The total contribution budget is split across measurement goals following the percentages below, so the sum of all percentages can't exceed 100.

Budget % for measurement goal 1:Budget % for measurement goal 2:

Key strategy:

Simulations

No simulations yet. To generate your first simulation, click the ▶️ SIMULATE button at the bottom the Parameters panel on the left.

Parameters

API Parameters

Contribution budget:

Epsilon:

Min: 0, Max: 64

Your conversion data

TOTAL daily attributable conversion count:

Average daily attributable conversion count PER BUCKET:

Percentage of buckets with 0 conversions:

Min: 0, Max: 10

Data you want to track: Measurement goals

Show/Hide measurement goals

Number of measurement goals:

Data you want to track: Dimensions

Show/Hide dimensions

Number of dimensions to track:

Your aggregation strategy

Batching frequency:

Scaling:

Budget split (used for Scaling):

Please how you prefer to split the budget:

percentage
value

⚠️ The total contribution budget is split across measurement goals following the percentages/values below, so the sum of all percentages/values can't exceed 100/total contribution budget.

Key strategy:

Simulations

No simulations yet. To generate your first simulation, click the ▶️ SIMULATE button at the bottom the Parameters panel on the left.

Parameters

API parameters

Your conversion data

Data you want to track: Measurement goals

Data you want to track: Dimensions

Your aggregation strategy

Simulations

Parameters

API Parameters

Your conversion data

Data you want to track: Measurement goals

Data you want to track: Dimensions

Your aggregation strategy

Key structures

Simulations