Candidate’s interface

You can experience the candidate’s interface by following these steps:

1. Add a Data Science question to a test.

Note: You can either select an existing data science question from the library or create a new question.

2. Select the question and click Try question.

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3. You are directed to a candidate’s test interface. The dataset can be downloaded from Click here to download data set.

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4. You can use the editor provided to solve the question. To open the editor, click Edit project code. 

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5. You can set up your editor by selecting either the Jupyter or Script interface. Once selected, click Proceed.

Notes 

  • You cannot change the editor interface, once it is selected. 
  • Jupyter supports Python 3.5.2 and Script supports the following languages:
    • Python 2.7.6
    • Python 3.5.2
    • R (RScript 3.4.0)

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6. You can use the selected editor interface to solve the question and make your submission.

7. Once you have made your submission, click COMPILE & TEST to auto-evaluate the submission file. Here, your submission will run against the Sample Expected output and a score is generated.

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8. To make a submission, click SUBMIT. Here, your submission is auto-evaluated against the Full Expected output. A final score is generated and displayed.

Encountering error messages 

When you make a submission using the editor, it is important to make the submission in the required format. To ensure this, various error messages are displayed on the interface.

  • For a recruiter in the candidate interface, you can observe the following types of error messages if there is any incorrect format in the submission:
Error type Error message
Incorrect submission file type  Runtime Error - Please upload a csv file containing predictions in the format given in the sample submission file
Incorrect column name  Runtime Error - <Name_of_incorrect_column>
Incorrect size of the submission  Runtime Error - File does not contain the correct number of rows
Missing keys or index values  Runtime Error - File does not contain prediction for   <missing_index_value>
  • A candidate encounters only the following error message if there is any incorrect format of his or her submission: FILE_NOT_OK