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

Which technique is used for handling missing data?

Normalization

Scaling

Imputation

2 / 40

What is the purpose of data preprocessing in data analysis?

Model evaluation

Visualizing data

Cleaning and transforming data

3 / 40

Which visualization technique is used for time series data?

Scatter plot

Line chart

Box plot

4 / 40

What does a pie chart show in data visualization?

Proportional representation of categories in a whole

Correlation between two variables

Distribution of a numerical variable

5 / 40

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

Median

Variance

Mean

6 / 40

What does a violin plot show in data visualization?

Distribution of a numerical variable across different categories

Central tendency of data

Correlation between two variables

7 / 40

What is data exploration used for?

Preprocessing data

Training models

Discovering patterns and trends in data

8 / 40

What is the purpose of data aggregation in data exploration?

Summarizing data at a higher level

Sorting data

Visualizing data

9 / 40

What is the purpose of feature engineering in data exploration?

Sorting data

Imputing missing values

Creating new features from existing data

10 / 40

Which visualization technique is used to display hierarchical data structures?

Tree map

Scatter plot

Line chart

11 / 40

What is dimensionality reduction used for in data exploration?

Sorting data

Imputing missing values

Reducing the number of variables while preserving important information

12 / 40

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

Plotting time series data

Displaying hierarchical clustering

Visualizing pairwise correlations between numerical variables

13 / 40

Which statistical measure describes the range of data values?

Variance

Range

Standard deviation

14 / 40

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

Displaying histograms

Plotting scatter plots

Showing the correlation matrix visually

15 / 40

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

Sorting data

Showing pairwise correlations between variables

Imputing missing values

16 / 40

Which statistical measure describes the central value of a dataset?

Median

Variance

Standard deviation

17 / 40

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

Scatter plot

Histogram

Bar chart

18 / 40

What is correlation analysis used for in data exploration?

Assessing the strength of the relationship between variables

Imputing missing values

Sorting data

19 / 40

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

Bar chart

Box plot

Scatter plot

20 / 40

What is the purpose of data transformation in data exploration?

Sorting data

Modifying the data to improve model performance

Imputing missing values

21 / 40

Which visualization technique is used for exploring categorical data?

Bar chart

Histogram

Box plot

22 / 40

What is the purpose of data sampling in data exploration?

Extracting a subset of data for analysis

Sorting data

Imputing missing values

23 / 40

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

Standard deviation

Median

Mean

24 / 40

What does a scatter plot matrix visualize?

Distribution of a single variable

Time series data

Pairwise relationships between multiple variables

25 / 40

What is outlier detection used for in data exploration?

Sorting data

Identifying data points that deviate from the norm

Grouping data

26 / 40

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

Encoding

Imputation

Normalization

27 / 40

Which visualization technique is used for showing trends over time?

Line chart

Scatter plot

Bar chart

28 / 40

What does a box plot show?

Frequency of categorical variables

Summary of a numerical variable's distribution

Correlation between two variables

29 / 40

What does a dendrogram show in data analysis?

Central tendency of data

Correlation between two variables

Hierarchical clustering of variables or observations

30 / 40

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

Histogram

Box plot

Bar chart

31 / 40

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

Mean

Standard deviation

Count

32 / 40

Which visualization technique is used for geographical data?

Histogram

Choropleth map

Box plot

33 / 40

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

3D Scatter plot

Line chart

Heat map

34 / 40

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

Training models

Understanding the data before applying formal statistical methods

Imputing missing values

35 / 40

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

Providing insights into data patterns and relationships

Sorting data

Imputing missing values

36 / 40

What does a cumulative distribution function (CDF) show?

Distribution of categorical data

Scatter plot

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

37 / 40

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

Spread of data

Skewness

Central tendency

38 / 40

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

Scatter plot

Bar chart

Histogram

39 / 40

What does skewness measure in data distribution?

Asymmetry of the distribution

Spread of data

Central tendency

40 / 40

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

Box plot

Histogram

Scatter plot

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