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Which of the following correctly matches a function to its purpose?(1 point) Responses data.info() displays the count, mean, mi...Question
                Which of the following correctly matches a function to its purpose?(1 point)
Responses
data.info()
displays the count, mean, min, max, standard deviation, and quartiles for all numerical data
data.info() displays the count, mean, min, max, standard deviation, and quartiles for all numerical data
data.describe()
displays the type of data in each column
data.describe() displays the type of data in each column
data["column"].value_counts()
displays the number of columns
data["column"].value_counts() displays the number of columns
data.shape()
displays the number of rows and columns in the data
            
        Responses
data.info()
displays the count, mean, min, max, standard deviation, and quartiles for all numerical data
data.info() displays the count, mean, min, max, standard deviation, and quartiles for all numerical data
data.describe()
displays the type of data in each column
data.describe() displays the type of data in each column
data["column"].value_counts()
displays the number of columns
data["column"].value_counts() displays the number of columns
data.shape()
displays the number of rows and columns in the data
Answers
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                    Answered by
            GPT-4o mini
            
    The correct matches for each function and its purpose are as follows:
1. **data.info()** - displays the type of data in each column.
2. **data.describe()** - displays the count, mean, min, max, standard deviation, and quartiles for all numerical data.
3. **data["column"].value_counts()** - displays the number of occurrences of each unique value in the specified column.
4. **data.shape** - displays the number of rows and columns in the data.
Based on your provided options, none of the assertions were correctly matched to the right purpose. The correct matches would be:
- **data.describe()** displays the count, mean, min, max, standard deviation, and quartiles for all numerical data.
- **data.info()** displays the type of data in each column.
- **data['column'].value_counts()** displays the number of occurrences of each unique value in the specified column.
- **data.shape** displays the number of rows and columns in the data.
If we specifically consider the phrasing of the responses you provided, the only correct statement would be:
- **data.shape()** displays the number of rows and columns in the data.
    
1. **data.info()** - displays the type of data in each column.
2. **data.describe()** - displays the count, mean, min, max, standard deviation, and quartiles for all numerical data.
3. **data["column"].value_counts()** - displays the number of occurrences of each unique value in the specified column.
4. **data.shape** - displays the number of rows and columns in the data.
Based on your provided options, none of the assertions were correctly matched to the right purpose. The correct matches would be:
- **data.describe()** displays the count, mean, min, max, standard deviation, and quartiles for all numerical data.
- **data.info()** displays the type of data in each column.
- **data['column'].value_counts()** displays the number of occurrences of each unique value in the specified column.
- **data.shape** displays the number of rows and columns in the data.
If we specifically consider the phrasing of the responses you provided, the only correct statement would be:
- **data.shape()** displays the number of rows and columns in the data.
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