Explore Titanic Dataset: Survival Rates, Age, and Correlations

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PracHub provides an interactive SQL console where you can write and test queries against real database schemas. Get instant feedback and compare your solution with the expected output.

Q: What difficulty level is this coding question?

This is a Medium difficulty Data Manipulation (SQL/Python) question, commonly asked during Onsite rounds at Spokeo.

Q: What role is this question designed for?

This question is commonly asked for Data Scientist candidates at Spokeo during technical interviews.

Question

titanic_passengers

+--------------+--------+--------+-----+----------+
| passenger_id | pclass | sex    | age | survived |
+--------------+--------+--------+-----+----------+
| 1            | 3      | male   | 22  | 0        |
| 2            | 1      | female | 38  | 1        |
| 3            | 3      | female | 26  | 1        |
| 4            | 1      | female | 35  | 1        |
| 5            | 3      | male   | 35  | 0        |
+--------------+--------+--------+-----+----------+

##### Scenario

HackerRank Jupyter-Notebook task – exploratory analysis of a classic dataset

##### Question

Perform an EDA on the data: calculate survival rate by sex, average age by class, and the correlation between age and survival. Produce clean visualizations and discuss any insights.

##### Hints

Write readable pandas code, label plots, and explain findings briefly.

PracHub · Accepted Answer

This question evaluates exploratory data analysis, descriptive statistics, group-wise aggregation, correlation interpretation, and data visualization skills in a Data Manipulation (SQL/Python) context for a data scientist role.

Quick Overview

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