# Export data to Excel

## 📂 Generate the Excel file

Go to **Data Export** and click on the small arrow icon next to the **Excel** format option to generate the data export file for download.

<figure><img src="https://1025048312-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F-M8fLhS0bmfBRyq0HdUm%2Fuploads%2FSvxPpoXtdQGjh9bL9Mf5%2FScreenshot%202024-07-03%20135606.jpg?alt=media&#x26;token=beace85b-4ae8-41ad-ae58-a67907d0e06d" alt=""><figcaption></figcaption></figure>

## ⚡️ Transform data in Excel

After loading and opening the file, transform your data set into a table format by pressing **Ctrl+T** and then clicking **OK**.

<figure><img src="https://1025048312-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F-M8fLhS0bmfBRyq0HdUm%2Fuploads%2FcYEpzF3f1gU0xScw4qVf%2Fimage.png?alt=media&#x26;token=ad651cdf-4ebd-490a-bc80-7abc1ddab8a2" alt=""><figcaption></figcaption></figure>

## 🔧Excel Data Analysis tool

In Excel, to create a simple statistical table, use the **Data Analysis** tool located in the upper right corner under the **Data** ribbon.

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If the tool is not activated, follow these steps:

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1. **Go to File**: Navigate to the bottom and select **Options**.
2. **Choose Add-ins**: In the left panel, click on **Add-ins**.
3. **Select Analysis ToolPak**: Find and select **Analysis ToolPak** in the list.
4. **Press Go**: Click the **Go** button to continue.
5. **Add-ins Window**: In the Add-ins window, check **Analysis ToolPak** and press **OK**.

## 🔢 Descriptive statistics in Excel

With the Data Analysis tool, you can create simple descriptive statistics, such as a data summary.

For this walkthrough, we will focus on the column **General\_satisfaction**, which represents the survey question, "How would you rate your overall satisfaction with our service?" The responses range from 1 (Very unsatisfied) to 5 (Very satisfied).

<figure><img src="https://1025048312-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F-M8fLhS0bmfBRyq0HdUm%2Fuploads%2FEXBatQKRhLhYezpBnyui%2FScreenshot%202024-07-03%20161231.jpg?alt=media&#x26;token=382ce9d6-3b3d-4ca5-8c5a-cf187ee2510f" alt=""><figcaption></figcaption></figure>

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1. **Open Data Analysis**: In the **Data Analysis** tool, select **Descriptive Statistics**.
2. **Set Input Range**: Specify the **Input Range** that corresponds to the column you want to analyze, such as **General\_satisfaction**.
3. **Choose Output Range**: Define the **Output Range** where you want the statistical summary to appear on your Excel sheet.
4. **Select Summary Statistics**: Check the **Summary statistics** option and click **OK** to generate the statistical summary.

<figure><img src="https://1025048312-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F-M8fLhS0bmfBRyq0HdUm%2Fuploads%2FRxujrDJulSFfIAkE4wv6%2Fimage.png?alt=media&#x26;token=a4099a2d-bb01-4c78-9de3-5fc57e5fbced" alt=""><figcaption></figcaption></figure>

This summary provides a quick understanding of overall customer satisfaction and its distribution:

* **Average Rating (Mean)**: The average rating for overall satisfaction is 3.04 out of 5.
* **Variability (Standard Deviation)**: Ratings vary widely around the mean, with a standard deviation of approximately 1.40, indicating diverse opinions.
* **Mode**: The most frequent rating for overall satisfaction is 3 ("Neutral" ), reflecting the typical response.
* **Number of Responses (Count)**: This summary is based on feedback from 205 respondents, providing a comprehensive view of satisfaction levels.

## 📈 Visualization in Excel

To create a visualization:

1. Select the input range of data (e.g., column or rows) that you want to visualize, such as **General\_satisfaction**.
2. Navigate to the **Insert** tab.
3. Choose the appropriate graph type for your data. For example, select **Boxplot** (or **Box and Whisker Plot**) to visualize **General\_satisfaction**.

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This visualization complements the summary statistics by visually representing the central tendency and distribution of satisfaction levels among respondents.

* **Mean:** The plot displays the mean satisfaction rating prominently at 3.04, shown as a line within the box.
* **Distribution**: It shows the range of ratings from 1 to 5 (Minimum and Maximum in the summary) using the box and whisker format:
  * Where the box spans from the 25th to the 75th percentile (2 to 4), indicating where the middle 50% of ratings fall.&#x20;
  * The absence of the outliers indicates that all the answers fall within the given range.
* **Symmetry**: The symmetrical distribution of the box plot suggests that roughly equal numbers of people rated their satisfaction as low, moderate, and high. In other words, there's no strong tendency towards extreme opinions—like everyone being very satisfied or very dissatisfied.

## 📊 Advanced visualization in Excel

When you dive deeper into visualizations, like breaking down box plots into different groups, you can spot unique trends and differences between segments.

To explore subgroup dynamics using a box plot:

<figure><img src="https://1025048312-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F-M8fLhS0bmfBRyq0HdUm%2Fuploads%2Fg6WRb8SkKxuxiGALaSzC%2FScreenshot%202024-07-04%20161153.jpg?alt=media&#x26;token=385c00c2-8784-4bf3-84a3-98071f980e57" alt=""><figcaption></figcaption></figure>

1. Right-click on the box plot and select **Select Data**.
2. In the **Select Data Source** dialog box, under the **Horizontal (Category) Axis Labels**, click **Edit**.
3. Select the column range that represents the subgroups you want to explore. In this walkthrough, we're using the column that reflects client tenure, based on the survey question "How long have you been using our service?" The answers range from Less than 1 month to More than 2 years.

<figure><img src="https://1025048312-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F-M8fLhS0bmfBRyq0HdUm%2Fuploads%2FyUiLsq2NHmd18O5nhDYG%2Fimage.png?alt=media&#x26;token=411347d8-ac6c-4e8a-a9f0-e92968218343" alt=""><figcaption></figcaption></figure>

**Key insights:**

* **Less than 1 month, 1-6 months, 6-12 months**: Satisfaction is moderate and steady with no extremes for new customers.
* **1-2 years**: Shows more variability with some lower satisfaction, indicating diverse experiences.
* **More than 2 years**: High satisfaction with a strong trend towards maximum ratings for long-term customers.

#### Overall Conclusion:

Satisfaction increases with longer service use. However, overall satisfaction is moderate, suggesting room for improvement, especially for those in the 1-2 year range.
