diff --git a/data-explorer/kusto/query/extract-function.md b/data-explorer/kusto/query/extract-function.md
index c922c2c328..36789aa99f 100644
--- a/data-explorer/kusto/query/extract-function.md
+++ b/data-explorer/kusto/query/extract-function.md
@@ -36,7 +36,27 @@ If there's no match, or the type conversion fails: `null`.
## Examples
-The following example extracts the month from the string `Dates` and returns a table with the date string and the month.
+The following example extract the username, email, age from the string. The regular expressions are used to extract the information.
+
+:::moniker range="azure-data-explorer"
+> [!div class="nextstepaction"]
+> Run the query
+::: moniker-end
+
+```kusto
+let Text = "User: JohnDoe, Email: johndoe@example.com, Age: 29";
+print UserName = extract("User: ([^,]+)", 1, Text),
+EmailId = extract(@"Email: (\S+),", 1, Text),
+Age = extract(@"\d+", 0, Text)
+```
+
+**Output**
+
+| UserName | EmailId | Age |
+| --- | --- | --- |
+| JohnDoe | johndoe@example.com | 29 |
+
+The following example extracts the month from the string `Dates` and returns a table with the date string and the month as int type.
:::moniker range="azure-data-explorer"
> [!div class="nextstepaction"]
@@ -63,24 +83,6 @@ Dates
| 21-07-2023 | 7 |
| 10-03-2022 | 3 |
-The following example returns the username from the string. The regular expression `([^,]+)` matches the text following "User: " up to the next comma, effectively extracting the username.
-
-:::moniker range="azure-data-explorer"
-> [!div class="nextstepaction"]
-> Run the query
-::: moniker-end
-
-```kusto
-let Text = "User: JohnDoe, Email: johndoe@example.com, Age: 29";
-print UserName = extract("User: ([^,]+)", 1, Text)
-```
-
-**Output**
-
-| UserName |
-| --- |
-| JohnDoe |
-
## Related content
* [extract-all function](extract-all-function.md)
diff --git a/data-explorer/kusto/query/time-series-analysis.md b/data-explorer/kusto/query/time-series-analysis.md
index 8051665c9b..5765cc0a5c 100644
--- a/data-explorer/kusto/query/time-series-analysis.md
+++ b/data-explorer/kusto/query/time-series-analysis.md
@@ -146,7 +146,11 @@ demo_series3
:::image type="content" source="media/time-series-analysis/time-series-seasonality.png" alt-text="Time series seasonality.":::
-- Use [series_periods_detect()](series-periods-detect-function.md) to automatically detect the periods in the time series.
+- Use [series_periods_detect()](series-periods-detect-function.md) to automatically detect the periods in the time series, where:
+ - `num`: the time series to analyze
+ - `0.`: the minimum period length in days (0 means no minimum)
+ - `14d/2h`: the maximum period length in days, which is 14 days divided into 2-hour bins
+ - `2`: the number of periods to detect
- Use [series_periods_validate()](series-periods-validate-function.md) if we know that a metric should have specific distinct period(s) and we want to verify that they exist.
> [!NOTE]