# SCM Coding Days report

The report displays the coding days count based on the selected settings in the widget configuration.
It is recommended to configure the widget settings to measure the **Total Coding Days** for an individual developer. This will help display the count of the days on which the developer made code commits.

**What data is included in Coding Days?**

A day with a Commit counts as a Coding Day if the commit is:

A direct commit to the default branch.

Not a merge commit.

Not in a deleted branch

A day with a Pull Request as a Coding Day if:

The PR is opened against the default branch.

If a PR from a feature branch is merged into the default branch.

In the SCM Coding Days report the metric displays the coding days count based on the selected metrics in the widget configuration.

### Coding Days Single Stat report

In this report the metric displays the coding days count per month based on the selected metrics in the widget configuration.

## Calculation Example

**Average Coding Days Per Week**

**Average Coding Days Per Week**

This metric calculates the average number of days in a week where code commits were made, over a given time period.

**Example:** Let's say we want to calculate the **Average Coding Days Per Week** for a developer between **October 1, 2023**, and **December 31, 2023** (a total of **92 days** or approximately **13 weeks**).

During this period, the developer made code commits on the following days:

**Week 1:**Monday, Wednesday, Friday**(3 days)****Week 2:**Tuesday, Thursday**(2 days)****Week 3:**Monday, Wednesday, Friday, Saturday**(4 days)**... and so on, for a total of

**23 Coding Days**.

To calculate the **Average Coding Days Per Week**, we divide the **Total Number of Coding Days (23)** by the **Total number of weeks (13)**

**Median Coding Days Per Week**

**Median Coding Days Per Week**

This metric calculates the median number of days in a week where code commits were made, over a given time period. The median is the middle value in a sorted list of values.

**Example: **Using the same data as above, let's find the number of **Coding Days Per Week**:

**Week 1:**3 days**Week 2:**2 days**Week 3:**4 days... and so on, for a total of

**13 weeks**.

Sorting the number of Coding Days per week in ascending order, we get: 2, 2, 2, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4

Since there are **13 weeks**, the **Median** is the **7th value (the middle value)**, which is **3**.

Therefore, the **Median Coding Days Per Week is 3 days.**

**Average Coding Days Per Two Weeks**

**Average Coding Days Per Two Weeks**

This metric calculates the average number of days in a two-week period where code commits were made, over a given time period.

**Example: **Let's say we want to calculate the **Average Coding Days Per Two Weeks** for a developer between **October 1, 2023**, and **November 14, 2023** (a total of **45 days** or approximately **6 two-week periods**).

During this period, the developer made code commits on the following days:

**Two Week Period 1:**Monday, Wednesday, Friday, Saturday**(4 days)****Two Week Period 2:**Tuesday, Thursday**(2 days)****Two Week Period 3:**Monday, Wednesday, Friday, Sunday**(4 days)**... and so on, for a total of

**18 Coding Days**.

To calculate the **Average Coding Days Per Two Weeks**, we divide the **Total Number of Coding Days (18)** by the **Total Number of Two-Week Periods (6):**

**Median Coding Days Per Two Weeks**

**Median Coding Days Per Two Weeks**

This metric calculates the median number of days in a two-week period where code commits were made, over a given time period.

**Example:** Using the same data as above, let's find the number of coding days per two-week period:

**Two Week Period 1:**4 days**Two Week Period 2:**2 days**Two Week Period 3:**4 days... and so on, for a total of

**6 Two-Week Periods**.

Sorting the number of coding days per two-week period in ascending order, we get: 2, 2, 3, 4, 4, 4

Since there are **6 two-week periods**, the **Median is the 4th value (the middle value), which is 4**.

Therefore, the **Median Coding Days Per Two Weeks is 4 days**.

**Average Coding Days Per Month**

**Average Coding Days Per Month**

This metric calculates the average number of days in a month where code commits were made, over a given time period.

**Example: **Let's say we want to calculate the **Average Coding Days Per Month** for a developer between **October 1, 2023**, and **December 31, 2023 **(a total of **92 days** or approximately **3 months**).

During this period, the developer made code commits on the following days:

**October:**10 days**November:**8 days**December:**5 days

To calculate the **Average Coding Days Per Month**, we add the number of **Coding Days** for each month and divide by the **Total Number of Months**:

**Median Coding Days Per Month**

**Median Coding Days Per Month**

This metric calculates the median number of days in a month where code commits were made, over a given time period.

**Example:** Using the same data as above, let's find the number of coding days per month:

**October:**10 days**November:**8 days**December:**5 days

Sorting the number of coding days per month in ascending order, we get: 5, 8, 10

Since there are **3 months**, the **Median is the 2nd value (the middle value), which is **8.

Therefore, the **Median Coding Days Per Month is 8 days**.

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