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

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

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 ...

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

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 ...

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.