D467 WGU Exploring Data Questions and Answers Graded A+
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D467 WGU Exploring Data
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D467 WGU Exploring Data
D467 WGU Exploring Data Questions
and Answers Graded A+
What are some common techniques used in data exploration?
Common techniques include summary statistics, data visualization, and identifying data
distributions.
How does data visualization aid in exploring data?
Data visualization...
D467 WGU Exploring Data Questions
and Answers Graded A+
What are some common techniques used in data exploration?
✔✔ Common techniques include summary statistics, data visualization, and identifying data
distributions.
How does data visualization aid in exploring data?
✔✔ Data visualization helps to present complex information in a visual format, making it easier
to identify trends, outliers, and relationships.
What does it mean to have a representative sample in data analysis?
✔✔ A representative sample accurately reflects the characteristics of the larger population,
allowing for valid conclusions to be drawn.
Why is it important to identify outliers during data exploration?
✔✔ Identifying outliers is crucial because they can significantly affect the results of the analysis
and may indicate errors or unique phenomena.
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,What is the difference between univariate and multivariate analysis?
✔✔ Univariate analysis focuses on a single variable, while multivariate analysis examines
multiple variables to understand relationships and interactions.
How can summary statistics help in understanding a dataset?
✔✔ Summary statistics provide insights into the central tendency, dispersion, and distribution of
the data, helping to describe its overall characteristics.
What role does data cleaning play in data exploration?
✔✔ Data cleaning ensures that the dataset is accurate and consistent, removing errors and
inconsistencies that could distort analysis results.
How do histograms help in visualizing data distribution?
✔✔ Histograms display the frequency of data points within specified ranges, allowing analysts
to observe the shape and spread of the distribution.
What is the purpose of a scatter plot in data analysis?
✔✔ A scatter plot shows the relationship between two quantitative variables, helping to identify
correlations or patterns in the data.
2
, What does it mean to normalize data, and why is it important?
✔✔ Normalizing data adjusts the scale of the values, allowing for more accurate comparisons
and analyses across different variables.
How can a correlation matrix be useful in data exploration?
✔✔ A correlation matrix reveals the strength and direction of relationships between multiple
variables, helping to identify potential predictors in analysis.
What is the significance of data transformation in preparing datasets?
✔✔ Data transformation modifies data into a suitable format, enhancing its quality and making it
easier to analyze effectively.
What are the key components of exploratory data analysis (EDA)?
✔✔ Key components of EDA include visualizing data, summarizing statistics, and identifying
patterns or anomalies within the dataset.
How do box plots contribute to understanding data variability?
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