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Trillion-Row Spreadsheet
The Trillion-Row Spreadsheet (TRS) allows you to visually interact with your data.
Analyze
The Analyze tab displays the object browser and the Analysis Timeline.
Running custom code
You can run custom SQL, Python, R, or K3 code within the TRS Analysis Timeline.
Use custom code in your analysis
Use the Code panel to add custom code to your TRS Analysis Timeline.

Trillion-Row Spreadsheet
The Trillion-Row Spreadsheet (TRS) allows you to visually interact with your data.
- Analyze
  The Analyze tab displays the object browser and the Analysis Timeline.
  - Object browser
    The object browser provides a hierarchy of folders and objects to which you have access. Use the object browser to select the base table or query for your analysis.
  - Analysis Timeline
    The Analysis Timeline displays a visual representation of your data analysis in the Trillion-Row Spreadsheet.
  - Selecting rows
    Selecting rows is one of the most basic tasks in the 1010data Insights Platform. Use row selection to isolate data that is important to your analysis and create more efficient queries.
  - Sorting rows
    You may reorder the rows of a table such that the values in a particular column are in ascending or descending order.
  - Arranging columns
    You can display a subset of the columns in a table and specify the order in which they appear.
  - Linking tables and worksheets
    Use linking to combine tables or worksheets into a single, bigger table with columns from both.
  - Computed column
    A computed column is a column that you add to a table, whose values are typically based on one or more existing columns.
  - Summarizations and tabulations
    Some of the basic ways to analyze your data include quick summaries, tabulations, and cross tabulations.
  - Merging tables and worksheets
    You can merge two or more tables or worksheets to combine their rows together into a single, larger worksheet.
  - Amending values
    Replace the values in a table or worksheet using the amend operation.
  - Running custom code
    You can run custom SQL, Python, R, or K3 code within the TRS Analysis Timeline.
    - Code panel
      The Code panel allows you to insert custom code from SQL, Python, R, or K3 into your TRS Analysis Timeline.
    - Use custom code in your analysis
      Use the Code panel to add custom code to your TRS Analysis Timeline.
  - Miscellaneous operations
    In addition to the five basic operations, you can choose to use a miscellaneous operation in the Trillion-Row Spreadsheet.
- Query
  The Query tab displays the current timeline query as Macro Language XML code. It also provides the ability to undo and redo operations in the timeline.
- View
  Select among the ways to view and interact with the data resulting from your analysis.
- Visualize
  The 1010data Insights Platform provides a mechanism to generate high-quality charts, which in turn can support the notion of visual data discovery.
- Develop
  Use the query that represents your analysis as a base for further development.
- Export
  Export the data resulting from your analysis to various destinations.
- Results pane
  The results pane is displayed on the right side of the Trillion-Row Spreadsheet window and Macro Language Workshop.

Use custom code in your analysis

Use the Code panel to add custom code to your TRS Analysis Timeline.

To use the TRS Analysis Timeline to insert code:

In the New Operation panel of the timeline, click Code.
The Code panel appears in the timeline.
Select the desired language from the drop-down list.
The sample code in the code editor changes based on the language you choose.
Edit the code in the code editor. Use the syntax of Python, SQL, R, or K3, as you normally would.

Note: Your account must have access to 1010data's latest cloud environments in order to use the Python or R languages. For more information about R functions that can be used in the 1010data Insights Platform, see the Using R in the Query Language guide. For more information about Python functions that can be used in the 1010data Insights Platform, see the Using Python in the Query Language guide.
Click the Submit operation () icon.