Practice Data Preparation And Cleaning (5.6.1) - Empirical Research Methods in HCI
Students

Academic Programs

AI-powered learning for grades 8-12, aligned with major curricula

Professional

Professional Courses

Industry-relevant training in Business, Technology, and Design

Games

Interactive Games

Fun games to boost memory, math, typing, and English skills

Data Preparation and Cleaning

Practice - Data Preparation and Cleaning

Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is data transcription?

💡 Hint: Think about how we make raw data usable in statistical software.

Question 2 Easy

Why is error checking important in data preparation?

💡 Hint: Consider what happens if mistakes go unnoticed.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is the first step in data preparation?

Data Cleaning
Data Entry
Data Analysis
Data Visualization

💡 Hint: Think about how data starts its journey in research.

Question 2

True or False: Imputation is always a better method than exclusion when dealing with missing data.

True
False

💡 Hint: Consider when each method may be appropriate.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

You have a dataset with 30% of its values missing. Discuss how you would evaluate the impact of this missing data on your research conclusions.

💡 Hint: How does the missingness relate to the study design?

Challenge 2 Hard

Analyze the effect of outliers on a linear regression model and suggest a method for addressing them.

💡 Hint: What methods exist that minimize the influence of outliers?

Get performance evaluation

Reference links

Supplementary resources to enhance your learning experience.