weather

The data was extracted using the weatherData package
It contains average temperature readings for 19 airports for 2014.

datasets

For a given test market find the best control markets using time series matching and analyze the impact of an intervention. The intervention could be a marketing event or some other local business tactic that is being tested. The workflow implemented in the Market Matching package utilizes dynamic time warping (the 'dtw' package) to do the matching and the 'CausalImpact' package to analyze the causal impact. In fact, this package can be considered a "workflow wrapper" for those two packages. In addition, if you don't have a chosen set of test markets to match, the Market Matching package can provide suggested test/control market pairs and pseudo prospective power analysis (measuring causal impact at fake interventions).

Larsen Kim

MarketMatching

Market Matching and Causal Impact Inference

weather function

A time series dataset with 6,935 rows and 3 variables (19 airports and 365 days):<ul>
<li>Area: Airport code</li>
<li>Date: Date</li>
<li>Mean_TemperatureF: Average temperature</li>
</ul>

weather: Weather dataset

Description

Usage

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Format