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Data analysis with python

1. Which of the following plots are often used for checking randomness in time series?

[amp_mcq option1=”Autocausation” option2=”Autorank” option3=”Autocorrelation” option4=”None of the mentioned” correct=”option3″]

Detailed SolutionWhich of the following plots are often used for checking randomness in time series?

2. What is the primary purpose of the “groupby” method in Pandas when working with categorical data?

[amp_mcq option1=”Sorting data” option2=”Filtering data” option3=”Reshaping data” option4=”Grouping and aggregating data” correct=”option4″]

Detailed SolutionWhat is the primary purpose of the “groupby” method in Pandas when working with categorical data?

3. In Python, which library provides tools for working with complex data structures and data manipulation, often used for data analysis in the financial sector?

[amp_mcq option1=”Seaborn” option2=”Dask” option3=”Matplotlib” option4=”Seaborn” correct=”option2″]

Detailed SolutionIn Python, which library provides tools for working with complex data structures and data manipulation, often used for data analysis in the financial sector?

4. What is the primary purpose of the “pivot_table” function in Pandas when aggregating data?

[amp_mcq option1=”Aggregate and summarize data” option2=”Reshape data” option3=”Sort data” option4=”Group data” correct=”option1″]

Detailed SolutionWhat is the primary purpose of the “pivot_table” function in Pandas when aggregating data?

5. Which Python library is commonly used for creating interactive data dashboards and web applications for data visualization?

[amp_mcq option1=”Pandas” option2=”Seaborn” option3=”Dash” option4=”Bokeh” correct=”option3″]

Detailed SolutionWhich Python library is commonly used for creating interactive data dashboards and web applications for data visualization?

6. What is the primary purpose of the “explode” function in Pandas when working with nested data in a DataFrame?

[amp_mcq option1=”Filtering data” option2=”Sorting data” option3=”Explode list-like columns” option4=”Grouping and aggregating data” correct=”option3″]

Detailed SolutionWhat is the primary purpose of the “explode” function in Pandas when working with nested data in a DataFrame?

7. cov and corr supports the optional min_periods keyword.

[amp_mcq option1=”TRUE” option2=”nan” option3=”nan” option4=”nan” correct=”option2″]

Detailed Solutioncov and corr supports the optional min_periods keyword.

8. Which of the following is used for testing for membership in the list of column names?

[amp_mcq option1=”in” option2=”out” option3=”elseif” option4=”none of the mentioned” correct=”option1″]

Detailed SolutionWhich of the following is used for testing for membership in the list of column names?

9. Which of the following is a foundational exploratory visualization package for the R language in pandas ecosystem?

[amp_mcq option1=”yhat” option2=”Seaborn” option3=”Vincent” option4=”None of the mentioned” correct=”option2″]

Detailed SolutionWhich of the following is a foundational exploratory visualization package for the R language in pandas ecosystem?

10. Which Python library is often used for working with large-scale, multidimensional arrays and data manipulation in scientific computing?

[amp_mcq option1=”Dask” option2=”Seaborn” option3=”xarray” option4=”Pandas” correct=”option4″]

Detailed SolutionWhich Python library is often used for working with large-scale, multidimensional arrays and data manipulation in scientific computing?

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