List of Irregular Verbs Across Romance Languages

Overview

This dataset contains all irregular verbs in all known Romance languages—including Portugese, Spanish, French, and Italian. Lorem ipsum dolor sit amet, consectetur adipisicing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.

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Source of data

Lorem ipsum dolor sit amet, consectetur adipisicing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.

Description of variables

Lorem ipsum dolor sit amet
consectetur adipisicing elit
sed do eiusmod
tempor incididunt ut labore et dolore magna aliqua
Ut enim ad minim veniam
quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.

Using data with Python

Start Python:

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import numpy as np
import pandas as pd

Open the file:

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file_path = 'data.csv'
with open(file_path, 'r') as file:

Read data:

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    lines = file.readlines()

Parse and process data:

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data = []
for line in lines:
    line_data = line.strip().split(',')  # Split the line into a list of values
    line_data = [float(value) for value in line_data]  # Convert values to floats
    data.extend(line_data)  # Extend the main list with values from the line

Compute summary statistics using NumPy:

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data_array = np.array(data)  # Convert the list to a NumPy array
mean = np.mean(data_array)
median = np.median(data_array)
std_dev = np.std(data_array)
min_value = np.min(data_array)
max_value = np.max(data_array)

Display summary statistics:

print(f"Mean: {mean}")
print(f"Median: {median}")
print(f"Standard Deviation: {std_dev}")
print(f"Minimum Value: {min_value}")
print(f"Maximum Value: {max_value}")

Overview#

Download#

Source of data#

Description of variables#

Using data with Python#

Start Python:#

Open the file:#

Read data:#

Parse and process data:#

Compute summary statistics using NumPy:#

Display summary statistics:#