Speeding up the exploratory data analysis process using flexible automation and consistent reporting allows analysts to deliver analyses quickly while ensuring precise, accurate results.

Find the best online data science certifications and develop the essential skills to open up new career opportunities in this high-demand field.

Discover how Python in Excel transforms data analysis with advanced features. Is it worth the hype? Find out if it’s right for your workflow.

David Draper, James S. Hodges, Colin L. Mallows, Daryl Pregibon, Exchangeability and Data Analysis, Journal of the Royal Statistical Society. Series A (Statistics in ...

Pandas makes it easy to quickly load, manipulate, align, merge, and even visualize data tables directly in Python.

This article compares different alternative techniques to prepare data, including extract-transform-load (ETL) batch processing, streaming ingestion and data wrangling. The article also discusses ...

A. C. Kimber, Exploratory Data Analysis for Possibly Censored Data From Skewed Distributions, Journal of the Royal Statistical Society. Series C (Applied Statistics), Vol. 39, No. 1 (1990), pp. 21-30 ...

The Exploratory Data Analysis Problem The prudent scientist must interrogate the data with a laundry list of statistical questions to determine the data’s fit-for-use in AI and ML projects.