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