To get a statistical summary of all the columns in a data frame df using the describe() method, you would use the following code:

```python
df.describe(include='all')
```

Here's a step-by-step breakdown:

1. `df` is your DataFrame. This is the data you're working with.

2. `.describe()` is a method that provides descriptive statistics of a DataFrame or Series. It gives you count, mean, standard deviation, minimum and maximum values and the quantiles of the data.

3. `include='all'` is an optional parameter. By default, `.describe()` provides the statistical summary of numerical columns only. If you want the statistical summary of all columns (including object type, categorical data), you need to use `include='all'`.

So, the correct answer from your options is `df.describe(include='all')`.

Question

To get a statistical summary of all the columns in a data frame df using the describe() method, you would use the following code:

```python
df.describe(include='all')
```

Here's a step-by-step breakdown:

1. `df` is your DataFrame. This is the data you're working with.

2. `.describe()` is a method that provides descriptive statistics of a DataFrame or Series. It gives you count, mean, standard deviation, minimum and maximum values and the quantiles of the data.

3. `include='all'` is an optional parameter. By default, `.describe()` provides the statistical summary of numerical columns only. If you want the statistical summary of all columns (including object type, categorical data), you need to use `include='all'`.

So, the correct answer from your options is `df.describe(include='all')`.

Knowee AI · Accepted Answer

To get a statistical summary of all the columns in a data frame df using the describe() method, you would use the following code:

```python
df.describe(include='all')
```

Here's a step-by-step breakdown:

1. `df` is your DataFrame. This is the data you're working with.

2. `.describe()` is a method that provides descriptive statistics of a DataFrame or Series. It gives you count, mean, standard deviation, minimum and maximum values and the quantiles of the data.

3. `include='all'` is an optional parameter. By default, `.describe()` provides the statistical summary of numerical columns only. If you want the statistical summary of all columns (including object type, categorical data), you need to use `include='all'`.

So, the correct answer from your options is `df.describe(include='all')`.

How would you use the describe() method with a data frame df to get a statistical summary of all the columns in the data frame?1 pointdf.describe(include=“all”)df.describe(include=“columns”)df.describe(include=“None”)df.describe(include=“summary”)

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