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The Impact of Financial Literacy and Financial Well-Being toward Online Shopping Activities during COVID-19 among Students Residing in Malaysia
Susanto, Sebastian Filbert - 2021
The purpose of this study is to measured and analysed the relationship and correlations of the financial literacy, financial well-being, COVID-19 daily life influence, and individual’s monthly income toward the online shopping activities, which is measured through the estimated average monthly...
Persistent link: https://www.econbiz.de/10014351678
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Doubling Farmers Income by 2022 : Trends, Challenges, Pathway and Strategies
R, Sendhil; SJ, Balaji; Ramasundaram, P.; Kumar, Anuj; … - 2020
Income is the most relevant measure to assess farmers' economic well-being and sectoral transformation. The crises and distresses plaguing the sector endanger the very livelihoods and welfare of the farmers. Indian Government with the intention giving enough policy thrust on income security,...
Persistent link: https://www.econbiz.de/10014092527
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Calculating Slope Gradient Variations in the Submarine Landforms by R and Python Statistical Libraries
Lemenkova, Polina - 2020
trench. Technically, the paper applies Python and R programming statistical libraries for geospatial modelling of the data …. Such methods are proposed by R and Python programming languages. Current research presented usage of statistical libraries … Matplotlib libraries; Circular bar plots for sorting data by R; Euler-Venn diagrams for visualizing overlapping of attributes and …
Persistent link: https://www.econbiz.de/10014102619
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K-Means Clustering in R Libraries {Cluster} and {Factoextra} for Grouping Oceanographic Data
Lemenkova, Polina - 2019
Cluster analysis by k-means algorithm by R programming applied for the geological data analysis is the scope of the … performed using R language and its statistical libraries. The main R libraries include {cluster}, {factoextra}; minor libraries … include {ggplot2}, {FactoMiner}, {openxlsx}, {carData}, {rio}, {car} and {flashClust}. Several clusters were tested from two …
Persistent link: https://www.econbiz.de/10014104015
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Statistical Analysis of the Mariana Trench Geomorphology Using R Programming Language
Lemenkova, Polina - 2019
This paper introduces an application of R programming language for geostatistical data processing with a case study of … geomorphology has been studied by methods of statistical analysis and data visualization using R libraries. The methodology includes …. Finally, this table was processed by methods of the statistical analysis on R. The programming codes and graphical results are …
Persistent link: https://www.econbiz.de/10014104394
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Incipient reverse causality checks on life satisfaction vs. the financial one
Homocianu, Daniel - 2022
supported this study. The first method used in this paper was the Adaptive Boosting in R via the Rattle interface. It benefited …
Persistent link: https://www.econbiz.de/10013296924
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La acción sindical en el conflicto salarial de la Argentina post-convertibilidad (2006-2010)
Facundo, Barrera Insua - UNIVERSIDAD DEL VALLE - CIDSE - 2015
Luego de las transformaciones científico-técnicas ocurridas en el capitalismo global des­de mediados de la década del setenta del siglo pasado, diversos autores cuestionaron la centralidad del trabajo (y las organizaciones de los trabajadores), como categoría rele­vante para estudiar el...
Persistent link: https://www.econbiz.de/10011203175
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Employer characteristics and youth employment outcomes in the formal sector in South Africa: Assessment using administrative tax data
Ngandu, Stewart; Chisadza, Carolyn - 2018
Through the use of administrative tax data, this study attempts to identify the characteristics of firms that employ relatively large numbers of young people. The policy objective of this exercise is to use these insights to inform policy and programming in the context of youth unemployment,...
Persistent link: https://www.econbiz.de/10011943889
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An integrated data framework for policy guidance in times of dynamic economic shocks
Dörr, Julian Oliver; Kinne, Jan; Lenz, David; Licht, Georg - 2021
Usually, offcial and survey-based statistics guide policy makers in their choice of response instruments to economic crises. However, in an early phase, after a sudden and unforeseen shock has caused incalculable and fast-changing dynamics, data from traditional statistics are only available...
Persistent link: https://www.econbiz.de/10012605705
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The perils of working with Big Data and a SMALL framework you can use to avoid them
Brave, Scott A.; Butters, R. Andrew; Fogarty, Michael - 2020
The use of "Big Data" to explain fluctuations in the broader economy or guide the business decisions of a firm is now so commonplace that in some instances it has even begun to rival more traditional government statistics and business analytics. Big data sources can very often provide advantages...
Persistent link: https://www.econbiz.de/10012653033