how do you rectify this code error on these tables Error in `group_by()`: ! Must group by variables found in `.data`. ✖ Column `Feedback` is not found. Run `rlang::last_trace()` to see where the error occurred. > # Print the sentiment analysis results > print(sentiment_data) Error: object 'sentiment_data' not found

able 2: Customer Feedback Data

Feedback	Sentiment Score
The service was excellent and the prices were reasonable.	0.85
The selection was good, but the restaurant was not very clean.	0.65
The quality of the products was poor and the staff was unhelpful.	-0.75

Source: Customer Survey Analysis (2023)

 

Table 3 presents the correlation results for key customer service attributes.

Table 3: Correlation Matrix of Customer Feedback Keywords

Quality

Service

Price

Selection

Cleanliness

Atmosphere

Convenience

Location

Staff

Wait Time

Quality	1.00	0.45	-0.23	0.57	0.38	0.32	0.24	0.15	0.18	-0.05
Service	0.45	1.00	0.12	0.65	0.51	0.46	0.39	0.28	0.62	0.21
Price	-0.23	0.12	1.00	-0.35	-0.26	-0.15	-0.20	-0.31	-0.08	0.13
Selection	0.57	0.65	-0.35	1.00	0.43	0.38	0.31	0.12	0.23	-0.10
Cleanliness	0.38	0.51	-0.26	0.43	1.00	0.49	0.36	0.21	0.29	-0.05
Atmosphere	0.32	0.46	-0.15	0.38	0.49	1.00	0.27	0.18	0.25	-0.08
Convenience	0.24	0.39	-0.20	0.31	0.36	0.27	1.00	0.34	0.21	-0.15
Location	0.15	0.28	-0.09	0.22	0.15	0.18	0.30	1.00	0.18	-0.13
Staff	0.18	0.62	-0.08	0.23	0.29	0.25	0.21	0.18	1.00	0.12
Wait Time	-0.05	0.21	0.13	-0.10	-0.05	-0.08	-0.15	-0.13	0.12	1.00

Source: Customer Survey Analysis (2023)

 Note: The values in the table represent the Pearson correlation coefficient between the corresponding pairs of feedback keywords.

Answer rating: 100% (QA)

To rectify the error and print the sentiment analysis results we first need to define and ... View the full answer