Data analysis with python

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

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

[amp_mcq option1=”Seaborn” option2=”Numpy” option3=”Pandas” option4=”SciPy” correct=”option2″]

Detailed SolutionIn Python, which library provides tools for working with large and multidimensional arrays and matrices and is often used in scientific computing?

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

Detailed SolutionThe . . . . . . . . project builds on top of pandas and matplotlib to provide easy plotting of data.

[amp_mcq option1=”SQLalchemy” option2=”SQLite” option3=”Pandas SQL” option4=”Pandas” correct=”option4″]

Detailed SolutionWhich Python library is commonly used for working with SQL databases and performing SQL-like operations on dataframes?

[amp_mcq option1=”Statsmodels” option2=”Numpy” option3=”Pandas” option4=”Pandas TimeSeries” correct=”option4″]

Detailed SolutionIn Python, which library provides tools for working with time series data, including time-based indexing and resampling?

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

Detailed SolutionWhich Python library is commonly used for distributed data processing and parallel computing, especially for big data analysis?

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

Detailed SolutionSeries is a one-dimensional labeled array capable of holding any data type.

[amp_mcq option1=”.desc()” option2=”.describe()” option3=”.rank()” option4=”none of the mentioned” correct=”option2″]

Detailed SolutionUsing . . . . . . . . on categorical data will produce similar output to a Series or DataFrame of type string.

[amp_mcq option1=”Structured ndarray” option2=”Series” option3=”DataFrame” option4=”All of the mentioned” correct=”option4″]

Detailed SolutionWhich of the following input can be accepted by DataFrame?

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

Detailed SolutionAndrews curves allow one to plot multivariate data.