# Working with an analysis in Amazon Quick Sight
Working with an analysis

In Quick Sight, an analysis is the same thing as a dashboard, except that it can only be accessed by the authors you choose. You can keep it private, and make it as robust and detailed as you like. When and if you decide to publish it, the shared version of it is called a dashboard. 

Use the following sections to learn how to interact with a Quick Sight analysis.

**Topics**
+ [

# Starting an analysis in Quick Sight
](creating-an-analysis.md)
+ [

# Generating an analysis with natural language prompts
](generating-an-analysis.md)
+ [

# Adding a title and description to an analysis
](adding-a-title-and-description.md)
+ [

# Sharing Quick Sight analyses
](sharing-analyses.md)
+ [

# Renaming an analysis
](renaming-an-analysis.md)
+ [

# Duplicating analyses
](duplicating-an-analysis.md)
+ [

# Customize date and time values of an analysis
](analysis-date-time.md)
+ [

# The analysis menu
](analysis-menu.md)
+ [

# Configure analysis settings
](analysis-settings.md)
+ [

# Item limits for Amazon Quick Sight analyses in the Quick Sight APIs
](analysis-item-limits.md)
+ [

# Saving changes to analyses
](saving-changes-to-an-analysis.md)
+ [

# Exporting data from Quick Sight analyses
](exporting-data-analysis.md)
+ [

# Deleting an analysis
](deleting-an-analysis.md)

# Starting an analysis in Quick Sight
Starting an analysis

In Quick Sight, you analyze and visualize your data in analyses. When you're finished, you can publish your analysis as a dashboard to share with others in your organization. 

Use the following procedure to create a new analysis.

**To create a new analysis**

1. On the Amazon Quick start page, choose **Analyses**, and then choose **New analysis**.

1. Choose the dataset that you want to include in your new analysis, and then choose **USE IN ANALYSIS** in the top right.

1. In the **New sheet** pop-up that appears, choose the sheet type that you want. You can choose between an **Interactive sheet** and a **Pixel perfect report**. To create a pixel perfect report, you need the pixel perfect reports add-on for your account. For more information about pixel perfect reports, see [Working with pixel perfect reports in Amazon Quick Sight](working-with-reports.md). For more information on sheets, see [Adding and managing sheets](working-with-multiple-sheets.md).

1. (Optional) If you choose **Interactive sheet**, follow these steps:
   + (Optional): Choose the type layout that you want for your interactive sheet. You can choose one of the following options:
     + Free-form
     + Tiled

     The default option is **Free-form**.

     For more information about interactive sheet layouts, see [Types of layout](types-of-layout.md).
   + Choose the canvas size that you want your sheet optimized for. You can choose one of the following options:
     + 1024px
     + 1280px
     + 1366px
     + 1600px
     + 1920px

     For more information on formatting interactive sheets, see [Working with interactive sheets in Amazon Quick Sight](working-with-interactive-sheets.md).

1. (Optional) If you choose **Pixel perfect report**, follow these steps:
   + (Optional) Choose the paper size that you want for your paginated report. You can choose from the following options:
     + US letter (8.5 x 11 in.)
     + US legal (8.5 x 14 in.)
     + A0 (841 x 1189 mm)
     + A1 (594 x 841 mm)
     + A2 (420 x 594 mm)
     + A3 (297 x 420 mm)
     + A4 (210 x 297 mm)
     + A5 (148 x 210 mm)
     + Japan B4 (257 x 364 mm)
     + Japan B5 (182 x 257 mm)

     The default paper size is US letter (8.5 x 11 in.)
   + (Optional) Choose the orientation of the sheet. You can choose between **Portrait** or **Landscape**. The default option is portrait.

     Before you can create Amazon Quick Sight pixel perfect reports, first get the pixel perfect reporting add-on for your Quick account. For more information on getting the pixel perfect reporting add-on, see [Get the Quick pixel perfect reports add-on](qs-reports-getting-started.md#qs-reports-getting-started-subscribe).

     For more information on formatting pixel perfect reports, see [Working with pixel perfect reports in Amazon Quick Sight](working-with-reports.md).

1. Choose **Add**.

1. Create a visual. For more information about creating visuals, see [Adding visuals to Quick Sight analyses](creating-a-visual.md).

After you are done creating the analysis, you can iterate on it by modifying the visual, adding more visuals, adding scenes to the default story, or adding more stories.

You can also generate a complete multi-sheet analysis from a natural language prompt. For more information, see [Generating an analysis with natural language prompts](generating-an-analysis.md).

# Generating an analysis with natural language prompts
Generating an analysis with natural language prompts

With Quick Sight, you can generate multi-sheet analyses from natural language prompts. Describe the analysis you want, and Quick Sight creates multiple organized sheets with visuals, filter controls, and calculated fields such as year-over-year growth and month-over-month comparisons. 

Before generation begins, you can review and modify an interactive plan that outlines the proposed structure.

The generated output is a native Quick Sight analysis. It works with existing publishing workflows, embedding patterns, CI/CD pipelines, and point-and-click editing in the analysis surface. After generation, you can refine each visual. 

## Prerequisites


To generate an analysis from a natural language prompt, you need the following:
+ An Amazon account
+ Amazon Quick Enterprise Edition with at least one Author Pro user
+ At least one dataset in your Quick Sight account

## Generating an analysis


Use the following procedure to generate an analysis from a natural language prompt.

**To generate an analysis from a natural language prompt**

1. Do one of the following:
   + Open a dataset and choose **Generate analysis**.
   + From the **Analyses** page, choose **Generate analysis**.  
![\[Dataset page with Generate analysis button\]](http://docs.amazonaws.cn/en_us/quick/latest/userguide/images/visualize-data-figure-1.png)

1. Choose **Add data** to select one to three datasets for the analysis. If your data spans multiple tables (for example, orders in one dataset and products in another), you can select them together.  
![\[Add additional datasets\]](http://docs.amazonaws.cn/en_us/quick/latest/userguide/images/visualize-data-figure-2a.png)  
![\[Add additional datasets\]](http://docs.amazonaws.cn/en_us/quick/latest/userguide/images/visualize-data-figure-2b.png)

1. Enter a natural language prompt that describes the analysis that you want to create. You can describe the business questions that you want answered, the metrics that you care about, and how you want the information organized across sheets.

   Example prompt:

   "Create an operations dashboard showing order volume trends, revenue KPIs, delivery performance comparing estimated vs actual delivery dates, and product category breakdown by revenue and order count. Include calculated fields for total revenue, average order value, and month-over-month order growth."  
![\[Prompt input screen with example\]](http://docs.amazonaws.cn/en_us/quick/latest/userguide/images/visualize-data-figure-3.png)

1. Do one of the following:
   + Choose **Generate analysis** to begin generation immediately.
   + Choose **Preview analysis outline** to review an outline first.

1. Wait while Quick Sight analyzes your dataset structure and column statistics. Real-time progress updates display the current status.  
![\[Streaming progress screen showing steps completing\]](http://docs.amazonaws.cn/en_us/quick/latest/userguide/images/visualize-data-figure-4.png)
**Note**  
If you navigate away from the progress screen, you can check the generation status on the **Analyses** page by choosing the **Generations** tab. Choose the generation name to return to the progress screen.  
![\[Generations tab to check status\]](http://docs.amazonaws.cn/en_us/quick/latest/userguide/images/visualize-data-figure-5.png)

1. Quick Sight presents a two-pane view:
   + The left pane shows your initial prompt and a summary of the selected datasets.
   + The right pane shows the proposed filter controls, sheets, and visuals planned for each sheet.

   You can edit sheet names, add or remove visuals, adjust the plan, and refine the prompt before generating.  
![\[Two-pane plan view with context on left, outline details on right\]](http://docs.amazonaws.cn/en_us/quick/latest/userguide/images/visualize-data-figure-6.png)

1. Choose **Generate**. Real-time progress updates display the current status. Generation takes 2 to 5 minutes depending on the number of sheets and visuals.  
![\[Generation progress showing sheets being created one by one\]](http://docs.amazonaws.cn/en_us/quick/latest/userguide/images/visualize-data-figure-7.png)

![\[Completed analysis with multiple sheets and visuals\]](http://docs.amazonaws.cn/en_us/quick/latest/userguide/images/visualize-data-figure-8.gif)


## Publishing a generated analysis


 After you are satisfied with the generated analysis, choose **Publish** to create a dashboard. 

You can share the dashboard with other users, embed it in applications, or schedule email deliveries. For more information about publishing and sharing, see [Publishing dashboards](creating-a-dashboard.md) and [Sharing Quick Sight analyses](sharing-analyses.md).

![\[Publish and share dialog\]](http://docs.amazonaws.cn/en_us/quick/latest/userguide/images/visualize-data-figure-9.gif)


# Adding a title and description to an analysis
Adding titles and descriptions to an analysis

In addition to the analysis name, you can add a title and description to an analysis. A useful title and description provides context about the information in the analysis.

## Add a title and description


Use the following procedure to add a title and description to an analysis. Titles and descriptions can contain up to 1,024 characters. Titles and descriptions are not supported for pixel perfect reports.

**To add a title and description to an analysis**

1. On the analysis page, choose **Sheets** in the application bar and then choose **Add title**.

1. For **Sheet title**, enter a title and press **Enter**. To remove a title, choose **Sheets** in the application bar and then choose **Delete title**. Or, to remove the title, you can select the title and then choose the **x**-shaped delete icon.

   To create a dynamic sheet title, you can add existing parameters to the sheet title. For more information, see [Using parameters in titles and descriptions in Amazon Quick](parameters-in-titles.md).

1. Choose **Sheets** in the application bar, and then choose **Add description**.

1. In the description space that appears on the sheet, enter the description that you want and press **Enter**. To remove a description, choose **Sheets** in the application bar and then choose **Delete description**. Or, to remove the description, you can select the description and then choose the **x**-shaped delete icon.

# Sharing Quick Sight analyses


You can share an analysis with one or more other users by emailing them a link, making it easy to collaborate and disseminate findings. You can only share an analysis with other users in your Quick account.

After you share an analysis, you can review the other users who have access to it, and also revoke access from any user.

**Topics**
+ [

## Sharing an analysis
](#share-an-analysis)
+ [

# Viewing the users that an analysis is shared with
](view-users-analysis.md)
+ [

# Revoking access to an analysis
](revoke-access-to-an-analysis.md)

## Sharing an analysis


Use the following procedure to share an analysis.

**To share an analysis**

1. Open the [Quick console](https://quicksight.aws.amazon.com/).

1. Open the analysis that you want to change.

1. On the analysis page, choose **File** on the application bar, and then choose **Share**.

   You can only share analyses with users or groups who are in your Quick account.

1. Add a user or group to share with. To do this, for **Type a user name or email**, enter the first user or group that you want to share this analysis with. Then choose **Share**. Repeat this step until you have entered information for everyone you want to share the analysis with.

   To edit sharing permissions for this analysis, choose **Manage analysis permissions**.

   The **Manage analysis permissions** screen appears. On this screen, choose **Invite user** to edit permissions and add more users or groups.

1.  For **Permission**, choose the role to assign to each user or group. The role determines the permission level to grant to that user or group.

1. Choose **Share**.

   The users that you have shared the analysis with get emails with a link to the analysis. Groups don't receive invitation emails.

# Viewing the users that an analysis is shared with


If you have shared an analysis, you can use the following procedure to see which users or groups have access to it.

**To view which users or groups have access to an analysis**

1. Open the [Quick console](https://quicksight.aws.amazon.com/).

1. Open the analysis that you want to change.

1. On the analysis page, choose **File** on the application bar, and then choose **Share**.

1. Choose **Manage analysis permissions**.

1. Review who this analysis has been shared with. You can search to locate a specific account by typing a search term. The search returns any user, group, or email address that contains the search term. Searching is case-sensitive, and wildcards are not supported. Delete the search term to view all users and groups.

# Revoking access to an analysis


Use the following procedure to revoke access to an analysis.

**To revoke access to an analysis**

1. Open the [Quick console](https://quicksight.aws.amazon.com/).

1. Open the analysis that you want to change.

1. On the analysis page, choose **File** on the application bar, and then choose **Share**.

1. Choose **Manage analysis permissions**.

1. Locate the user or group whose access you want to revoke, and then choose the trash-can icon next to the user or group. 

1. Choose **Confirm**.

# Renaming an analysis


Use the following procedure to rename an analysis.

**To rename an analysis**

1. Open the analysis that you want to rename.

1. In the **Analysis name** box in the application bar, select the current name and then enter a new name.

# Duplicating analyses


You can duplicate analyses in Quick Sight. Use the following procedure to learn how.

**To duplicate an analysis**

1. From the Quick homepage, choose **Analyses**, and then open the analysis that you want to duplicate.

1. In the analysis, choose **Save as** in the application bar at upper right.

1. In the **Save a copy** page that opens, enter a name for the analysis, and then choose **Save**.

   The new analysis opens. You can find the original analysis by returning to the Quick start page and selecting **Analyses**.

# Customize date and time values of an analysis
Date and time settings

In Amazon Quick, authors can set custom time zones and week start days of an analysis. When you set a custom week start or time zone, all visuals in the analysis that use datetime data are formatted to reflect the time zone or week start that the analysis uses.

## Setting custom time zones in an analysis
Custom time zones

Quick authors can use *custom time zones* to help manage data across multiple geographic regions. When you set a custom time zone, all visible dimensions, measures, calculated fields, and filters are converted to the chosen time zone at query run time. Daylight Savings Time (DST) adjustments are applied automatically to eliminate the need for time consuming workarounds that don't accurately handle historical dates.

*Custom time zones* refer to the use of IANA time zone abbreviations that represent specific geographic regions around the world. Each time zone is defined as an offset from Coordinated Universal Time (UTC). Time zones are different from simple offsets because they incorporate DST.

The default time zone for all analyses is `UTC`.

The following rules apply to time zones.
+ **Datetime displays with a granularity that is lower than `hour` are converted to the selected time zone.** For example, if you set the timezone of an analysis to `America/New_York (UTC-04:00)`, the datetime value `Dec.1, 2020 12:00am` in `UTC+00:00` is converted and displayed as `Nov.30, 2020 7:00pm`. Daylight Savings Time (DST) is incorporated into the datetime conversion.
+ **Datetime literals that are added to calculations or selected in filters honor the selected time zone of the analysis.** For example, if you manually enter a literal into a calculated field such as `01-01-2022 7:00pm`, or select a fixed filter time, Quick Sight applies the chosen timezone to the literal value.
+ **Measures that are aggregated above the `hour/minute` granularity are aggregated based on the timezone that the analyss is set to.** When Quick Sight processes a dataset, all timestamps are initially converted at the lowest granularity level. Values are then aggregated based on the boundary of the selected time zone for the analysis. For example, a sum of hourly revenues at the day level with a `UTC+00:00` time zone aggregate all hourly revenues from `12am-11pm` for the `UTC` time zone. When you convert `UTC+00:00` to `New_York (UTC-04:00)`, all revenue datapoints are aggregated from `8:00pm-7:00pm(+1day)` in `UTC` to correspond with the start and end of the day in `New_York (UTC-04:00)`.
+ **The `now()` function, rolling date filter, and parameters are converted to the chosen time zone.** Relative date filters, rolling date filters, and relative date parameters that use the `now()` function also honor the chosen time zone when they are applied to the visual. For example, when you select a relative filter such as `last week` or a rolling date filter such as `start of the month`, the chosen timezone is automatically applied to the filter to display the values `last week of New_York time zone` and `start of the month of New_York time zone`, respectively.

**To set the custom time zone of an analysis**

1. From the analysis that you want to change, navigate to the top menu and choose **Edit**.

1. Choose **Analysis settings**, and then choose **Date and time**.

1. Toggle **Convert time zone** ON, and choose the **Time zone** that you want.

1. Choose **Apply**.

When an analysis is assigned a time zone, an icon appears at the top of the analysis that indicates which time zone the analysis uses. This icon also appears on any dashboard that is published from the analysis.

**Considerations**

The following considerations apply to custom time zones.
+ To use custom time zones, all datetime columns in a dataset must be normalized to UTC. If your datetime columns aren't normalized in your data source, you need to convert the columns in your data source before you can use this feature.
+ For analyses that are not assigned a custom time zone, author and reader experiences are unaffected.
+ Once a time zone is added to an analysis, the time zone is applied to all visuals and sheets in the analysis.
+ Quick authors can choose only one time zone for an analysis. All dashboards that are published from the analysis use the time zone that the analysis uses. To create a dashboard that uses a different time zone than the one that the analysis uses, change the time zone of the analysis and republish the dashboard.
+ Quick readers can't change the time zone of a dashboard.
+ If you set the time zone of an analysis that uses a dataset that is stored in Direct Query and experience slow load times, consider storing the dataset in SPICE. SPICE is engineered to handle time zone conversions in a performant way.
+ Custom time zones do not support the following database engines:
  + Timestream
  + OpenSearch Service
  + Teradata
  + SqlServer

## Setting custom week start days in an analysis
Custom week start days

Quick authors can define the week start day of an analysis to align their data with the schedule that their company or industry follows. When you set a custom week start day, all dimensions, calculated fields, and filters that are aggregated at the week level are calculated to align with the new week start day. The default week start day is `Sunday`.

**To set the custom week start day of an analysis**

1. From the analysis that you want to change, navigate to the top menu and choose **Edit**.

1. Choose **Analysis settings**, and then choose **Date and time**.

1. For **Custom start day**, choose the start day that you want.

1. Choose **Apply**.

**Considerations**

The following considerations apply to custom week start days.
+ Datetime fields are converted at run time. When you work with calculated fields that use datetime values, define the fields at the analysis level instead of the dataset level.
+ Once you choose a new week start day, the change is applied to all visuals and sheets in the analysis.
+ Quick authors can choose only one week start day for an analysis. All dashboards that are published from the analysis use the week start day that the analysis uses. To create a dashboard that uses a different week start day than the one that the analysis uses, change the week start day of the analysis and republish the dashboard.
+ Quick readers can't change the week start day of a dashboard.

# The analysis menu


While working on an analysis, Amazon Quick provides several menu options. You use these menu options to efficiently perform tasks without needing to manually navigate through your analysis to find the assets that you want to change.

You can use these options to perform the following tasks.
+ *File* – Perform analysis management tasks, including creating, sharing, and publishing. Authors can use this option to make changes across all sheets or visuals in an analysis.
+ *Edit* – Navigate between changes that you make to the analysis. You can undo or redo changes that you make.
+ *Data* – Manage datasets, data fields, and parameters. Changes that you make by using this option are applied to all sheets in the analysis.
+ *Insert* – Use an ingress point where you can add visuals, text boxes, insights, reporting objects, filters, and parameters to an analysis. The content that you insert can be data or objects.
+ *Sheets* – Manage the sheet settings of the analysis, including layout settings, actions to add or remove assets from a sheet, and sheet properties.
+ *Objects* – Manage objects and their features, including style, canvas placement, sizing, card background, and borders. You can also manage these objects by using the **Properties** pane when working on a visual object.
+ *Search* – Access the *Quick search* bar. Quick search is a search bar that will begin showing results for the asset you are searching for as you type. The suggested results continue to modify as you type until you see the result that you're looking for.

  To use quick search, open the **Search** menu, and in the **Search analysis actions** box, begin typing a name or phrase associated with the asset you are trying to find.

# Configure analysis settings


Amazon Quick authors can use the Analysis settings menu to configure the refresh and date time settings of an analysis. To access the Analysis Settings menu, choose **Edit**, and then choose **Analysis Settings**. The following settings can be configured in the Analysis settings menu:

**Refresh settings**
+ **Reload visuals every time I switch sheets** – Use this setting to reload every visual in a Quick Sight analysis whenever the user switches to a different sheet in the analysis.
+ **Update visuals manually** – Use this setting to only update applicable visuals in an analysis when the user applies their changes. When this setting is toggled on, the analysis loads the visuals blank by default because the queries won't be fired until the user selects the **UPDATE VISUALS** button located in the toolbar or on the impacted visuals. The **UPDATE VISUALS** button confirms that the user is finished with the filter and control choices that they want to apply to the affected visuals. The image below shows the **UPDATE VISUALS** button.

  When **Update visuals manually** is toggled on, authors can still add visuals, edit visuals, and edit control selections, but the affected visuals won't update until the author applies the new changes. This allows authors to build analyses without increasing their database load and gives better control over which values are loaded in an analysis.

**Date and time settings**
+ **Convert time zone** – Use this setting to convert all date field related visualizations, filters, and parameters to reflect the chosen time zone. All daylight savings adjustments are made automatically. For more information about time zone configuration, see [Customize date and time values of an analysis](analysis-date-time.md).
+ **Start of the week** – Use this setting to choose the week start day for an analysis.

**Interactivity**
+ Use this setting to highlight specific data points across visuals in a sheet. When you select or hover over a data point on a visual, related data across other visuals will stand out, while unrelated data is dimmed. Highlighting allows you to understand correlations, spot patterns, trends, and outliers, and facilitate stronger, more informed analyses. Select either **On selection** or **On hover** to turn highlighting on, or **No highlight** to turn it off.
+ To customize highlighting on a per-sheet level see [Adding and managing sheets](working-with-multiple-sheets.md).

# Item limits for Amazon Quick Sight analyses in the Quick Sight APIs
Item limits for Quick Sight analyses

Use the following table to review the current limits or quotas for different analysis items in Amazon Quick Sight that are created and managed with the Amazon Quick Sight APIs. If your analysis contains more than the supported number of analysis items, remove items to optimize the performance of the analysis. New analysis items cannot be added to an analysis that contains more than the supported number of analysis items.


| Analysis item | Limit | 
| --- | --- | 
|  [Sheets](https://docs.amazonaws.cn/quicksuite/latest/userguide/working-with-multiple-sheets)  |  20 sheets per analysis  | 
|  [Visuals](https://docs.amazonaws.cn/quicksuite/latest/userguide/creating-a-visual)  |  50 visuals per sheet  | 
|  [Calculated fields](https://docs.amazonaws.cn/quicksuite/latest/userguide/working-with-calculated-fields)  |  500 per analysis and 200 per dataset\$1  | 
|  [Bookmarks](https://docs.amazonaws.cn/quicksuite/latest/userguide/dashboard-bookmarks-create)  |  200 per dashboard  | 
|  [Custom actions](https://docs.amazonaws.cn/quicksuite/latest/userguide/custom-actions)  |  10 per visual  | 
|  [Filter groups](https://docs.amazonaws.cn/quicksuite/latest/userguide/add-a-compound-filter)  |  2000 per analysis  | 
|  [Filters](https://docs.amazonaws.cn/quicksuite/latest/userguide/adding-a-filter)  |  20 filters per filter group  | 
|  [Parameters](https://docs.amazonaws.cn/quicksuite/latest/userguide/parameters-in-quicksight)  |  400 per analysis  | 
|  [Controls](https://docs.amazonaws.cn/quicksuite/latest/userguide/filter-controls)  |  200 per sheet  | 
|  [Text boxes](https://docs.amazonaws.cn/quicksuite/latest/userguide/textbox)  |  100 per sheet  | 
|  [Image components](https://docs.amazonaws.cn/quicksuite/latest/userguide/image-component)  |  10 per sheet  | 
|  [Layer map visuals](https://docs.amazonaws.cn/quicksuite/latest/userguide/layered-maps)  |  5 per sheet  | 

\$1 The per dataset limit applies to calculations that were created in the analysis. Dataset level calculations are not included in this limit. For more information about dataset level calculations, see [Adding calculated fields](adding-a-calculated-field-analysis.md).

# Saving changes to analyses


When working on an analysis, you can set Autosave either on (the default) or off. When Autosave is on, your changes are automatically saved every minute or so. When Autosave is off, your changes aren't automatically saved, which means that you can make changes and pursue different lines of inquiry without permanently altering the analysis. If you decide that you want to save your results after all, re-enable Autosave. Your changes up to that point are then saved.

In either Autosave mode, you can undo or redo up to 200 changes that you make by choosing **Undo** or **Redo** on the application bar.

## Changing the Autosave mode


Changed to To change the Autosave mode for an analysis, choose **File** and then choose **Autosave On** or **Autosave OFF**.

## When Autosave can't save changes


Suppose that one of the following things occurs: 
+ Autosave is on and another user makes a conflicting change to the analysis.
+ Autosave is on and there is a service failure, such that your most recent changes can't be saved.
+ Autosave is off, you turn it on, and one of the backlogged changes now being saved to the server conflicts with another user's changes.

In this case, Amazon Quick Sight gives you the option to do one of two things. You can either let Amazon Quick Sight turn Autosave off and continue working in unsaved mode, or reload the analysis from the server and then redo your most recent changes. 

If your client authentication expires while you are editing an analysis, you are directed to sign in again. On successful sign-in, you are directed back to the analysis where you can continue working normally.

If your permissions on the analysis are revoked while you are editing it, you can't make any further changes.

# Exporting data from Quick Sight analyses
Exporting data from analyses

**Note**  
Export files can directly return information from the dataset import. This makes the files vulnerable to CSV injection if the imported data contains formulas or commands. For this reason, export files can prompt security warnings. To avoid malicious activity, turn off links and macros when reading exported files.

You can export data from an analysis to a CSV or PDF file. To export data from an analysis or dashboard to a CSV file, follow the procedure in [Exporting data from visuals](exporting-data.md).

Use the procedure below to export an analysis as a PDF.

1. From the analysis that you want to export, choose **File > Export to PDF**. Quick Sight begins to prepare the analysis for download. 

1. Choose **VIEW EXPORTS** in the blue pop-up to open the **Exports** pane on the right.

1. Choose **DOWNLOAD** in the green pop-up.

1. To see all analyses or reports that are ready to download, choose **File** then **Exports**. The Exports panel will open on the right side of the screen. Select **Click to download** next to the file that you want to save to your preferred location.

The process for exporting to a PDF works the same way for both dashboards and analyses.

You can also attach a PDF to dashboard email reports. For more information, see [Scheduling and sending Quick Sight reports by email](sending-reports.md).

# Deleting an analysis


If you have the permissions to do so, you can delete an analysis from the **Analyses** page. When you delete an analysis, it doesn't affect any dashboards that are based on that analysis. They continue to show the deleted analysis, but you can't make changes to the analysis once you delete it. Navigate to the Analyses page and find the analysis that you want to remove. Choose the details icon (⋮) on the analysis, then choose **Delete**. Confirm your choice by choosing **Delete** again. You can't undo this action.