Practice Data Cleaning And Analysis (1.3.5) - Unit 2: User Research & Problem Definition

Practice: Data Cleaning and Analysis

Lesson 1.3.5Unit 2: User Research & Problem Definition

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10 questions

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4 cards from this section. Quick, good the night before a test.
Exercise
6 questions · about 4 min · pass mark 70%. Hints available.
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Quiz
4 questions · about 3 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
What does data cleaning involve?
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Think about ensuring the data is accurate.
Question 2.
Name one technique used in descriptive statistics.
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Consider what summarizes data.
3Question 3.
What is the first step in preparing data for analysis?
- Data Cleaning
- Data Visualization
- Data Collection
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Consider what you do with unverified information.
4Question 4.
True or False: Descriptive statistics can only be used for quantitative data.
- True
- False
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Think about whether categories can be summarized too.
Question 5.
Given a dataset collected from a user survey with numerous missing answers and outliers, outline a comprehensive approach to prepare this data for analysis.
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Consider the integrity of the data during your cleaning process.
Question 6.
Using a correlation analysis technique, hypothesize how user engagement might influence app satisfaction. What data points would you include, and how would you measure correlation?
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Think about engagement metrics you can gather from your app.

6 more questions in this section. Enroll free to practise them all.