Learn how to master Excel for data analysis and uncover actionable insights with this step-by-step guide. Perfect for beginners and pros ...

pandas is a Python module that's popular in data science and data analysis. It's offers a way to organize data into ...

Phoenix Group is on a mission to create “much more clarity” for consumers with its rebrand to Standard Life, as the financial services group looks to become “match-fit for the future”. Earlier this ...

Founder and gender equity advocate Noga Edelstein. Source: Supplied. Equity Clear, the data transparency initiative created by Scale Investors, Giant Leap and Alberts, has secured sponsorship from ...

On Tuesday, the Bureau of Labor Statistics (BLS) published a revision of its latest job numbers, a report that shows just how far off its estimates of overall employment were from reality. The latest ...

Jaguar Land Rover (JLR) has warned that it believes “some data” has been accessed in a cyber attack which caused the car maker to halt production. JLR had previously said there was “no evidence” data ...

PRINCETON, N.J., Sept. 09, 2025 (GLOBE NEWSWIRE) -- MISTRAS Group, Inc. (NYSE: MG), a global leader in technology-enabled asset protection solutions, today announced its partnership with Batchelor & ...

Insurance business Phoenix Group will rebrand as Standard Life in March next year, as it looks to focus attention on its “most trusted brand”. The business believes Standard Life represents “the ...

(Alliance News) - Phoenix Group Holdings PLC on Monday said it plans to change its name to Standard Life PLC next year after reporting better than expected operating profit but total cash generation ...

PORTLAND, Ore. (KOIN) – The United States Department of Health and Human Services has reached a settlement with a Washington state nonprofit after being accused of unlawfully deleting public health ...

Several organizations focused on conservation and other environmental issues are joining together to create the Maryland Data Centers Analysis Group. The mission of the Maryland Data Centers Analysis ...

import numpy as np import pandas as pd import matplotlib.pyplot as plt df = pd.read_csv('banco.csv') # Quartiles for the 'age' column q1 = np.quantile(df['age'], 0.25 ...