Question

Which of the following correctly matches a function to its purpose?(1 point)
Responses

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
data.shape() displays the number of rows and columns in the data

data.describe()

displays the type of data in each column
data.describe() displays the type of data in each column

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

Answer 1

The correct matches of functions to their purposes are:

1. **data["column"].value_counts()** - **displays the number of unique values in the specified column** (this is actually what it does, but it's not in your provided options).
2. **data.shape()** - **displays the number of rows and columns in the data** (this is correct).
3. **data.describe()** - **displays the count, mean, min, max, standard deviation, and quartiles for all numerical data** (this is correct).
4. **data.info()** - **displays the type of data in each column** (this is correct, but it also provides information like non-null counts).

Therefore, the only correct match from the options you provided is:
- **data.shape()** displays the number of rows and columns in the data.

If you're required to select the best or most accurate statement, that would be your response.