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Data Science Data Analysis with Python
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Which of the following makes use of pandas and returns data in a Series or DataFrame
OutPy
none of the mentioned
pandaSDMX
freedapi
Which of the following is implemented on DataFrame to compute the correlation between like-labeled Series contained in different DataFrame objects
corwith
none of the mentioned
corrwith
corwit
Which of the following method is used for transforming a SparseSeries indexed by a MultiIndex to ascipy.
sparse.
coo_matrix
Series.to_coo()
none of the mentioned
SparseSeries.to_cooser()
SparseSeries.to_coo()
Which of the following method produces a data ranking with ties being assigned the mean of the ranks for the group
partition_rank
dense_rank
none of the mentioned
RANK
Which of the following plots are used to check if a data set or time series is random
random
Lead
Lag
none of the mentioned
Which of the following works analogously to the form of the dict constructor
DataFrame.from_dict
DataFrame.from_records
DataFrame.from_items
All of the mentioned
Which of the following library is similar to Pandas
none of the mentioned
OutPy
NumPy
RPy
Which of the following takes a dict of dicts or a dict of array-like sequences and returns a DataFrame
All of the mentioned
DataFrame.from_records
DataFrame.from_dict
DataFrame.from_items
Which of the following is prominent python “statistics and econometrics library”
Bokeh
Seaborn
none of the mentioned
Statsmodels
Which of the following is used to generate an index with time delta
none of the mentioned
TimedeltaIndex
LeadIndex
TimeIndex
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