statistical summary of the dataframe.

Sure, I can provide you with a statistical summary of a dataframe. In Python, you can use the describe() method to get a statistical summary of a dataframe. Here is an example code snippet:

import pandas as pd

# create a sample dataframe
df = pd.DataFrame({'A': [1, 2, 3, 4, 5], 'B': [2, 4, 6, 8, 10], 'C': [3, 6, 9, 12, 15]})

# get the statistical summary of the dataframe
summary = df.describe()

# print the summary
print(summary)

This will output the following statistical summary of the dataframe:

              A          B          C
count  5.000000   5.000000   5.000000
mean   3.000000   6.000000   9.000000
std    1.581139   3.162278   4.743416
min    1.000000   2.000000   3.000000
25%    2.000000   4.000000   6.000000
50%    3.000000   6.000000   9.000000
75%    4.000000   8.000000  12.000000
max    5.000000  10.000000  15.000000

This summary provides information such as the count, mean, standard deviation, minimum, maximum, and quartiles for each column in the dataframe.