Data Exploration and Visualization MCQs With Answers

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Data Exploration and Visualization Online Quiz

By presenting 3 options to choose from, Data Exploration and Visualization Quiz which cover a wide range of topics and levels of difficulty, making them adaptable to various learning objectives and preferences. You will have to read all the given answers of Data Exploration and Visualization Questions and Answers and click over the correct answer.

• Test Name: Data Exploration and Visualization MCQ Quiz Practice
• Type: Quiz Test
• Total Questions: 40
• Total Marks: 40
• Time: 40 minutes

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Data Exploration and Visualization Quiz

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1 / 40

What is outlier detection used for in data exploration?

Sorting data

Grouping data

Identifying data points that deviate from the norm

2 / 40

Which statistical measure describes the variability of data points around the mean?

Variance

Mean

Median

3 / 40

What is the purpose of data transformation in data exploration?

Imputing missing values

Sorting data

Modifying the data to improve model performance

4 / 40

Which type of plot is used to display the frequency of categorical variables?

Histogram

Scatter plot

Bar chart

5 / 40

What is dimensionality reduction used for in data exploration?

Reducing the number of variables while preserving important information

Sorting data

Imputing missing values

6 / 40

What does a scatter plot matrix visualize?

Time series data

Distribution of a single variable

Pairwise relationships between multiple variables

7 / 40

What does a pie chart show in data visualization?

Distribution of a numerical variable

Correlation between two variables

Proportional representation of categories in a whole

8 / 40

Which type of plot is used to visualize the relationship between three variables?

Line chart

3D Scatter plot

Heat map

9 / 40

What is the purpose of data preprocessing in data analysis?

Model evaluation

Cleaning and transforming data

Visualizing data

10 / 40

Which technique is used for scaling numerical variables to a standard range?

Encoding

Normalization

Imputation

11 / 40

What is the purpose of data aggregation in data exploration?

Visualizing data

Sorting data

Summarizing data at a higher level

12 / 40

What is the purpose of feature engineering in data exploration?

Creating new features from existing data

Sorting data

Imputing missing values

13 / 40

Which visualization technique is used to display hierarchical data structures?

Scatter plot

Line chart

Tree map

14 / 40

Which statistical measure describes the central value of a dataset?

Variance

Median

Standard deviation

15 / 40

Which visualization technique is used for exploring categorical data?

Bar chart

Histogram

Box plot

16 / 40

What does a cumulative distribution function (CDF) show?

Probability that a random variable is less than or equal to a certain value

Distribution of categorical data

Scatter plot

17 / 40

What is data exploration used for?

Preprocessing data

Discovering patterns and trends in data

Training models

18 / 40

What does skewness measure in data distribution?

Asymmetry of the distribution

Central tendency

Spread of data

19 / 40

What does a box plot show?

Summary of a numerical variable's distribution

Correlation between two variables

Frequency of categorical variables

20 / 40

Which statistical measure describes the spread of data around the mean?

Mean

Standard deviation

Median

21 / 40

Which visualization technique is used for geographical data?

Box plot

Histogram

Choropleth map

22 / 40

What is the purpose of data visualization in exploratory data analysis?

Imputing missing values

Sorting data

Providing insights into data patterns and relationships

23 / 40

Which type of plot is suitable for comparing the distribution of a numerical variable across categories?

Bar chart

Histogram

Box plot

24 / 40

Which type of plot is used to visualize the relationship between a categorical and a numerical variable?

Bar chart

Box plot

Scatter plot

25 / 40

Which visualization technique is used for time series data?

Scatter plot

Box plot

Line chart

26 / 40

Which statistical measure describes the frequency of values in a dataset?

Standard deviation

Mean

Count

27 / 40

Which type of plot is used to visualize the distribution of a numerical variable?

Bar chart

Histogram

Scatter plot

28 / 40

What does a dendrogram show in data analysis?

Central tendency of data

Hierarchical clustering of variables or observations

Correlation between two variables

29 / 40

What is the purpose of a correlation heatmap in data visualization?

Visualizing pairwise correlations between numerical variables

Plotting time series data

Displaying hierarchical clustering

30 / 40

Which type of plot is suitable for visualizing the relationship between two numerical variables?

Histogram

Box plot

Scatter plot

31 / 40

Which technique is used for handling missing data?

Scaling

Imputation

Normalization

32 / 40

What is the purpose of a correlation matrix in data analysis?

Showing pairwise correlations between variables

Sorting data

Imputing missing values

33 / 40

Which visualization technique is used for showing trends over time?

Scatter plot

Bar chart

Line chart

34 / 40

Which statistical measure describes the range of data values?

Range

Variance

Standard deviation

35 / 40

What does a violin plot show in data visualization?

Correlation between two variables

Distribution of a numerical variable across different categories

Central tendency of data

36 / 40

What is correlation analysis used for in data exploration?

Sorting data

Imputing missing values

Assessing the strength of the relationship between variables

37 / 40

What is the purpose of data sampling in data exploration?

Extracting a subset of data for analysis

Imputing missing values

Sorting data

38 / 40

What is the purpose of exploratory data analysis (EDA)?

Training models

Understanding the data before applying formal statistical methods

Imputing missing values

39 / 40

Which statistical measure describes the tendency of data to cluster around a central value?

Skewness

Central tendency

Spread of data

40 / 40

What is the purpose of a heat map in data visualization?

Displaying histograms

Showing the correlation matrix visually

Plotting scatter plots

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