polish wording

Author: shellmayr

develop-docs/application/dynamic-sampling/extrapolation.mdx

@@ -3,7 +3,7 @@ title: Extrapolation
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-Sentry’s system uses sampling to reduce the amount of data ingested, for reasons of both performance and cost. When configured, Sentry only ingests a fraction of the data according to the specified sample rate of a project: if you sample at 10% and initially have 1000 requests to your site in a given timeframe, you will only see 100 spans in Sentry. Without making up for the sample rate, any metrics derived from these spans will misrepresent the true volume of the application. When different parts of the application have different sample rates, there will even be a bias towards some of them, skewing the total volume towards parts with higher sample rates. This bias especially impacts numerical attributes like latency, reducing their accuracy. To account for this fact, Sentry uses extrapolation to smartly combine the data to account for sample rates. 
+Dynamic sampling reduces the amount of data ingested, for reasons of both performance and cost. When configured, on a fraction of the data is ingested, according to the specified sample rate of a project: if you sample at 10% and initially have 1000 requests to your site in a given timeframe, you will only see 100 spans in Sentry. Without making up for the sample rate, any metrics derived from these spans will misrepresent the true volume of the application. When different parts of the application have different sample rates, there will even be a bias towards some of them, skewing the total volume towards parts with higher sample rates. This bias especially impacts numerical attributes like latency, reducing their accuracy. To account for this fact, Sentry uses extrapolation to smartly combine the data to account for sample rates. 
 
 ### Accuracy & Expressiveness
 What happens during extrapolation, how does one handle this type of data, and when is extrapolated data accurate and expressive? Let’s start with some definitions: