The variable satsifaction_ratings has been assigned to a Pandas Data Frame that contains customer satisfaction ratings for a small business. This DataFrame is indexed by a column labelled Date, and contains columns labelled Average Rating (giving the average customer rating to the nearest integer) and Supervisor (containing the name of the employee supervising the business over that period (as a string)). The first date in the index column is 21-09-24. Using this information, identify which of the following calls would not result in an error being raised. a. satsifaction_ratings['21-09-24'] b. satsifaction_ratings['Supervisor']['21-09-24'][0] Oc. satsifaction ratings.loc[0] ○ d. satsifaction_ratings['Date'] e. satsifaction_ratings.head(4)[0] satsifaction ratings.loc['Average Rating'] Clear my choice
The variable satsifaction_ratings has been assigned to a Pandas Data Frame that contains customer satisfaction ratings for a small business. This DataFrame is indexed by a column labelled Date, and contains columns labelled Average Rating (giving the average customer rating to the nearest integer) and Supervisor (containing the name of the employee supervising the business over that period (as a string)). The first date in the index column is 21-09-24. Using this information, identify which of the following calls would not result in an error being raised. a. satsifaction_ratings['21-09-24'] b. satsifaction_ratings['Supervisor']['21-09-24'][0] Oc. satsifaction ratings.loc[0] ○ d. satsifaction_ratings['Date'] e. satsifaction_ratings.head(4)[0] satsifaction ratings.loc['Average Rating'] Clear my choice
Chapter5: Working With Excel Tables, Pivottables, And Pivotcharts
Section: Chapter Questions
Problem 10RA
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Please can you help me select the correct option in python
![The variable satsifaction_ratings has been assigned to a Pandas Data Frame that contains customer satisfaction ratings for a small business.
This DataFrame is indexed by a column labelled Date, and contains columns labelled Average Rating (giving the average customer rating to the nearest integer) and
Supervisor (containing the name of the employee supervising the business over that period (as a string)). The first date in the index column is 21-09-24.
Using this information, identify which of the following calls would not result in an error being raised.
a. satsifaction_ratings['21-09-24']
b. satsifaction_ratings['Supervisor']['21-09-24'][0]
Oc. satsifaction ratings.loc[0]
○ d. satsifaction_ratings['Date']
e. satsifaction_ratings.head(4)[0]
satsifaction ratings.loc['Average Rating']
Clear my choice](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Ff0dd315e-af2e-45ca-8218-d2c0ca649154%2F4f9e82ba-a064-4fc3-9d0c-2e6f547b838e%2Fu76zn1q_processed.png&w=3840&q=75)
Transcribed Image Text:The variable satsifaction_ratings has been assigned to a Pandas Data Frame that contains customer satisfaction ratings for a small business.
This DataFrame is indexed by a column labelled Date, and contains columns labelled Average Rating (giving the average customer rating to the nearest integer) and
Supervisor (containing the name of the employee supervising the business over that period (as a string)). The first date in the index column is 21-09-24.
Using this information, identify which of the following calls would not result in an error being raised.
a. satsifaction_ratings['21-09-24']
b. satsifaction_ratings['Supervisor']['21-09-24'][0]
Oc. satsifaction ratings.loc[0]
○ d. satsifaction_ratings['Date']
e. satsifaction_ratings.head(4)[0]
satsifaction ratings.loc['Average Rating']
Clear my choice
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