Data Analysis with Pandas
Maria Enache
Economics and Applied Informatics, 2019, issue 2, 69-74
Abstract:
Data analysis is the process by which data is cleaned, analyzed and modeled using tools. This is used for marketing strategies to get the desired business result. Not many companies have realized the importance of using large data analytics to maximize their profit. Data analysis provides both the speed and accuracy of a business decision. It provides precision as well as a good statistical module and hi-tech tools to help and analyze data. Data analysis is the differentiator that gives companies a competitive edge over others. All data should make sense now. Data analysis makes numbers become real factors that, predictably, can make or destroy a company.
Keywords: Data analysis; Python (search for similar items in EconPapers)
Date: 2019
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.eia.feaa.ugal.ro/images/eia/2019_2/Enache1.pdf (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ddj:fseeai:y:2019:i:2:p:69-74
DOI: 10.35219/eai1584040933
Access Statistics for this article
More articles in Economics and Applied Informatics from "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration Contact information at EDIRC.
Bibliographic data for series maintained by Gianina Mihai ().