Moderate Missing Data Question 203 of 220

How do you handle missing values?

Data Science track · Speak this in 60–90 seconds · Faridabad & Delhi NCR

PICTURE THIS: 1, 2, 2, 8

Mean3.25average
Median2middle
Mode2most often

Simple meaning

I first ask why data is missing.

1

WHY — Missing Data instead of guessing?

Why interviewers care about Missing Data:

This is a process

question about Missing Data.

Panels listen for order,

trade-offs, and what you would actually do on a Data Science project - not buzzwords.

Stay structured

Name the idea, why it exists, then one short example.

Close cleanly

End with when you use it and one common pitfall.

2

STEPS — What happens step by step?

Before you speak the answer, walk the interviewer through these steps:

  1. 1
    I first ask why

    data is missing.

  2. 2
    Options include drop, mean

    or median impute, or model-based impute.

  3. 3
    Blind fill can bias

    results, so I document the choice.

  4. 4
    Give an example

    One tiny concrete case you can say aloud.

  5. 5
    Common mistake

    What juniors usually get wrong.

  6. 6
    Close

    When you pick this over the alternative.

3

EXAMPLE — See it in action

Here's a short line you can speak, broken into clear beats:

Say this line
“Options include drop, mean or median impute, or model-based impute.”
Break into beats
Optionsincludedropmeanormedian
Speaking order
2987408337471632900

Note: Adapt this scaffold to your own project — keep it under 60–90 seconds.

Key takeaway

I first ask why data is missing. Options include drop, mean or median impute, or model-based impute.

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