Dataford
Interview QuestionsInterview GuidesExperiencesCoaching
New
Pricing
Get started
Dataford
Popular roles
Software EngineerData AnalystData ScientistData EngineerBusiness AnalystAI EngineerMachine Learning EngineerProduct Manager
Browse
Browse All RolesEvery role hub, from analyst to MLBrowse All CompaniesCompany-specific interview loopsAll Interview GuidesThe full guide library
Top questions by role
Software EngineerData AnalystData ScientistData EngineerBusiness AnalystAI EngineerMachine Learning EngineerProduct Manager
Top questions by skill
SQLPythonStatisticsMachine LearningA/B TestingSystem DesignGenerative AIProduct SenseMetricsBehavioral
Browse all questions →Try a mock interview
Experiences
Practice
Mock InterviewsTimed interview simulations with feedbackCoaching1:1 coaching with people at your target companiesSuccess PathYour 6-week structured planModulesCurated lessons by topicWebinarsTalks from ex-Big Tech data leadsPlaygroundA free-form scratch editor
Learn
BlogInterview strategy and career adviceTech Job Market ReportHiring trends across data and AI rolesFor UniversitiesDataford for career centersAbout DatafordWho we are and how we build
Pricing
Build my plan
Analyze Click-Through Rates Function
00:00
5 left

Analyze Click-Through Rates Function

EasyPython

Problem

Write a function to analyze click-through rates from a given dataset.

Implement analyze_ctr(dataset), where dataset is a list of dictionaries. Each dictionary contains non-negative integer clicks and impressions values. Return the overall click-through rate as a floating-point ratio: total clicks divided by total impressions. Return 0.0 when total impressions is zero.

Constraints

  • 0 <= len(dataset) <= 10^5
  • Each record contains integer fields clicks and impressions
  • 0 <= clicks <= impressions
  • 0 <= impressions <= 10^9

Function Signature

def analyze_ctr(dataset):
Interviewer

Your question is Analyze Click-Through Rates Function. Start with the requirements in the Question tab.

Run and submit as often as you like. When you're ready, talk me through your approach or go straight to the code.

You need to log in / sign up to run or submit.
CodePython 3
Sign up free to run your codeLog inLn 2
Run your code to see test output here.