Badm 211 HWK – Questions With Full
Explanations
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Practice questions for this set
Learn 1 /7 Study with Learn
using charts, tables, and dashboards to understand data
Choose an answer
The term "business intelligence"
1 Display rows of data 2
may be best defined as ____________.
pd.pivot_table(credit_df,
values='Balance', index=
3 ['Education_bin'], columns= 4 Catergorical Data v. numeric
['Gender_Male'], aggfunc=np.mean,
margins=False)
Don't know?
Terms in this set (63)
Display rows of data credit_df.head(17)
, Choose the answer that C) There are two predictors measured in currency,
best describes the four predictors measured in integer values, and four
display you have created: categorical predictors
A) There are six numeric
predictors, four
categorical predictors,
and a numeric response
variable.B) There are six
numeric predictors, five
categorical predictors,
and a numeric response
variable.C) There are two
predictors measured in
currency, four predictors
measured in integer
values, and four
categorical predictors.D)
There are three
predictors measured in
currency, three
predictors measured in
integer values, and four
categorical predictors.
description of the dataset credit_df.describe()
showing the number of
samples, mean, standard
deviation, minimum,
quartiles, and maximum
values for all attributes
onvert all categorical credit_df = pd.get_dummies(credit_df, prefix_sep='_')
variables to their dummy- print(credit_df.columns)
coded values in the same
dataframe using the all-
inclusive k method. Use
underscore as a prefix
separator.
Catergorical Data v. dummies will show as catergory_subtype for
numeric catergorical data
Explanations
Save
Practice questions for this set
Learn 1 /7 Study with Learn
using charts, tables, and dashboards to understand data
Choose an answer
The term "business intelligence"
1 Display rows of data 2
may be best defined as ____________.
pd.pivot_table(credit_df,
values='Balance', index=
3 ['Education_bin'], columns= 4 Catergorical Data v. numeric
['Gender_Male'], aggfunc=np.mean,
margins=False)
Don't know?
Terms in this set (63)
Display rows of data credit_df.head(17)
, Choose the answer that C) There are two predictors measured in currency,
best describes the four predictors measured in integer values, and four
display you have created: categorical predictors
A) There are six numeric
predictors, four
categorical predictors,
and a numeric response
variable.B) There are six
numeric predictors, five
categorical predictors,
and a numeric response
variable.C) There are two
predictors measured in
currency, four predictors
measured in integer
values, and four
categorical predictors.D)
There are three
predictors measured in
currency, three
predictors measured in
integer values, and four
categorical predictors.
description of the dataset credit_df.describe()
showing the number of
samples, mean, standard
deviation, minimum,
quartiles, and maximum
values for all attributes
onvert all categorical credit_df = pd.get_dummies(credit_df, prefix_sep='_')
variables to their dummy- print(credit_df.columns)
coded values in the same
dataframe using the all-
inclusive k method. Use
underscore as a prefix
separator.
Catergorical Data v. dummies will show as catergory_subtype for
numeric catergorical data
