2018
DOI: 10.5815/ijitcs.2018.01.04
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A Systematic Study of Data Wrangling

Abstract: Abstract-The paper presents the theory, design, usage aspects of data wrangling process used in data ware housing and business intelligence. Data wrangling is defined as an art of data transformation or data preparation. It is a method adapted for basic data management which is to be properly processed, shaped, and is made available for most convenient consumption of data by the potential future users. A large historical data is either aggregated or stored as facts or dimensions in data warehouses to accommoda… Show more

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Cited by 4 publications
(2 citation statements)
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“…In addition, the decisions taken by judges of the Constitutional Court of Ukraine (CCU) during 2019-2020, which relate to the fight against corruption, are of concern to society and our foreign partners. After all, the result of these decisions was a systematic [25,26] weakening of the institutional capacity of anti-corruption bodies, which led to the release from liability of persons involved in breaking the interests of the state on a particularly large scale.…”
Section: Current Issues Of the Improvement Of The Anti-corruption System In Ukrainementioning
confidence: 99%
“…In addition, the decisions taken by judges of the Constitutional Court of Ukraine (CCU) during 2019-2020, which relate to the fight against corruption, are of concern to society and our foreign partners. After all, the result of these decisions was a systematic [25,26] weakening of the institutional capacity of anti-corruption bodies, which led to the release from liability of persons involved in breaking the interests of the state on a particularly large scale.…”
Section: Current Issues Of the Improvement Of The Anti-corruption System In Ukrainementioning
confidence: 99%
“…To be able processing data according properly, effectively and efficiently, that it requires the ability in terms of a specific programming language that is specifically dedicated to processing data or information from many sources in the organization or the internet to become a useful data scientist for organizations or businesses (Endel and Piringer, 2015;Faisal, 2016;) The R language appears not only as a programming language in general, that it also has a myriad of specific capabilities for processing very large data. However, with the many advantages of the powerful R language, there are obstacles for beginners who will use the R language to process data sets for data cleansing (Kandel et al, 2011;Mailund, 2017;Patil and Hiremath, 2018).…”
Section: Introductionmentioning
confidence: 99%