Data analysis with python

1. Which Python library is commonly used for creating interactive and web-based dashboards for data analysis and visualization?

Pandas
Seaborn
Panel
Dash

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

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

Seaborn
Numpy
Pandas
SciPy

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

3. The . . . . . . . . project builds on top of pandas and matplotlib to provide easy plotting of data.

yhat
Seaborn
Vincent
None of the mentioned

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

4. Which Python library is commonly used for working with SQL databases and performing SQL-like operations on dataframes?

SQLalchemy
SQLite
Pandas SQL
Pandas

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

5. In Python, which library provides tools for working with time series data, including time-based indexing and resampling?

Statsmodels
Numpy
Pandas
Pandas TimeSeries

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

6. Which Python library is commonly used for distributed data processing and parallel computing, especially for big data analysis?

Pandas
Seaborn
Dask
Matplotlib

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

7. Series is a one-dimensional labeled array capable of holding any data type.

TRUE
nan
nan
nan

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

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

.desc()
.describe()
.rank()
none of the mentioned

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

9. Which of the following input can be accepted by DataFrame?

Structured ndarray
Series
DataFrame
All of the mentioned

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

10. Andrews curves allow one to plot multivariate data.

TRUE
nan
nan
nan

Detailed SolutionAndrews curves allow one to plot multivariate data.

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