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SciPyR (Custom Analysis)

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Infoveave gives users the option to design unique analyses using advanced analytics. In data science, advanced analytics is a subfield that focuses on making predictions about the future utilizing high-level languages, models, and algorithms. Infoveave supports custom analysis for programming language like R and Python. The capability enables any organization to use the SciPyR workbench to run large statistical models and future-proof a number of its operational components. The workbench also makes it easier and more accurate to build out plans, strategies and campaigns in advance.

The section covers details on Infoveave support for custom analysis with 

Create Custom Analysis

How to use the Infoveave SciPyR workbench

  1. To build an SciPyR book in Infoveave,  pick the SciPyR book from AnalysisSciPyR .
    • All SciPyR Books, if any, will be displayed under SciPyR Book tab. 
  1. To create a new SciPyR book based on languages such as R or Python click New. The Add Book dialog box will display.

The below sections will explain in details on creating SciPyR book based on languages such as R or Python

Python Programming

You can use your own Python code to do an analysis. SciPyR workbench supports popular and frequently used Python packages while executing the code. Raise a request if you need additional packages.

  1. Add Book dialog box, assign a name and select Python as the language from drop-down.
  2. Click on Optional Upload of Jupyter Book to upload a file.
    • You can select your file from any of the supported locations.
    • After selecting your file, click on Select your Data to start parsing the file

The Optional Upload of Jupyter Book comes into play only when you have the python code saved on your system with an .ipynb extension.

  1. Click on Save to start creating your Python code in Infoveave. This will directly take you to the Python workbench.
  2. Create the Python code in the workbench. Click  to run the code. You will see all results in output cells.
  1. If you want to add a new cell for writing code, Click on New Cell to add cells in SciPyR book.
  2. If you want to execute all cells of the SciPyR book, click to Run All Cells to run. You will see all results in output cells.
  3. If you want all cells in the existing SciPyR Book, click on Save Book to save book.
  4. Click Share  if you want to share the SciPyR book with other users.
  5. Click on  to edit or reanalyze the SciPyR book.
  6. Click on  to delete the SciPyR book and Infoveave will ask for confirmation. Select Yes to delete the book.

R Programming

You can use your own R programming code to do an analysis. The SciPyR workbench supports popular and frequently used R packages while executing the code. Raise a request if you need additional packages.

  1. Add Book dialog box, assign a name and select R as the programming language from drop-down.
  2. Click on Optional Upload of Jupyter Book to upload a file.
    • You can select your file from any of the supported locations.
    • After selecting your file, click on Select your Data to start parsing the file

The Optional Upload of Jupyter Book comes into play only when you have the python code saved on your system with an .ipynb extension.

  1. Click on Insert Infoveave Data to insert data via SQL query for execution.
  2. If you want to add a new cell for writing code, Click on New Cell to add cells in SciPyR book.
  3. If you want to execute all cells of the SciPyR book, click to Run All Cells to run. You will see all results in output cells.
  4. If you want all cells in the existing SciPyR Book, click on Save Book to save book.
  5. Click Share  if you want to share the SciPyR book with other users.
  6. Click on  to edit or reanalyze the SciPyR book.
  7. Click on  to delete the SciPyR book and Infoveave will ask for confirmation. Select Yes to delete the book.

Managing SciPyR Analysis

SciPyR analysis can be managed with the options to share, edit, move to a folder, add a description, and delete.

  1. Share the SciPyR analysis with the team/role from the share option.
    • Choose between the options
    • To share with the users, select the “share with users” tab. Pick the user(s) with whom the SciPyR analysis  needs to be shared from the share dialogue box.
    • Choose the “share with role” tab to make a SciPyR analysis available to a certain work role. From the dialog box, choose a role.
    • Select the users from the presented list of users.
      • If you wish to share your SciPyR analysis with all, then select Share With Everyone.
    • Select the user from the available list and click  to share the SciPyR analysis .
    • To remove a particular user/role from the shared list, select the user/role and click  .

    • Click Save to share your SciPyR analysis with the selected users.

      • Shared personals receive a notification after the successful share.
    • To unshare a SciPyR analysis, just unselect users or uncheck the Share With Everyone.
  1. Edit any of your SciPyR analysis with the Edit option.
  2. To move to a folder, create a folder by clicking the New Folder option, then drag the SciPyR analysis into the desired folder using the drag-and-drop feature.
    • You may also choose a folder from a drop-down menu by clicking the folder symbol on the SciPyR analysis.
  1. Click “Add Description” and fill out the description details to add a description to the SciPyR analysis.
    • Select the Editor Type.
    • Add necessary Tags (if required).
    • Add Description and Content.
    • Click Ok
  1. If you want to delete SciPyR analysis, click on Delete .
    • Type in “delete‘ in the text box.
    • Click Yes.