Research on Practical Application of Data Analysis and Visualization

2020 ◽  
Author(s):  
Rendong Li ◽  
Qingzhao Tao ◽  
Yongjian Luo ◽  
Lina Yan
Keyword(s):  
Data Analysis ◽  
Practical Application

Research of High-Speed Railway Running Economic Benefit Based on Gray Model

2012 ◽  
Vol 253-255 ◽  
pp. 1273-1277
Author(s):  
Xue Dong Du ◽  
Na Ren
Keyword(s):  
Data Analysis ◽  
Prediction Model ◽  
Economic Benefit ◽  
High Speed ◽  
Accurate Prediction ◽  
Gray Model ◽  
Practical Application ◽  
High Speed Railway ◽  
Railway Stations ◽  
Train Operation

The research of high-speed railway running economic benefit is important to timely know well the train operation state for the railway administration. A prediction model of high-speed railway running economic benefit is proposed in this article based on Gray model. The Gray model is a good example to make accurate prediction of the development of matters. According to the data analysis of Beijing and Shanghai railway stations, we can know that the result of prediction model is accurate, so the prediction based on Gray model is scientific and reasonable in the practical application.

scholarly journals A Practical Application of Analytic Guiding Frame (AGF) and Overall Guiding Frame (OGF): An Illustration from Literacy Education

2019 ◽  
Author(s):  
Su Li Chong
Keyword(s):  
Qualitative Research ◽  
Data Analysis ◽  
Analytical Method ◽  
Iterative Process ◽  
Qualitative Data ◽  
Literacy Education ◽  
Analytical Problem ◽  
Practical Application ◽  
Qualitative Data Analysis ◽  
Research Questions

This paper illustrates how the Analytic Guiding Frame (AGF) and the Overall Guiding Frame (OGF) are applied when analytic shifts occur in qualitative data analysis. Analytic shifts mainly occur when a proposed analytical method is found to be not fully amenable for analysis because of the contextually-bound nature of qualitative data. In this paper, the illustration located in the field of literacy education revolves around how a methodological and analytical problem was confronted during the fieldwork/analysis stage of research and how analytic negotiations were made with the help of the AGF/OGF framework. From here, it is proposed that much more consideration on matters of epistemology, methodology, research objective and research questions in qualitative research must be made when the iterative process of qualitative data analysis takes place.

scholarly journals Entropy Variations of Multi-Scale Returns of Optimal and Noise Traders Engaged in “Bucket Shop Trading”

Mathematics ◽  
2022 ◽  
Vol 10 (2) ◽  
pp. 215
Author(s):  
Alejandro Raúl Hernández-Montoya ◽  
Carlos Manuel Rodríguez-Martínez ◽  
Manuel Enríque Rodríguez-Achach ◽  
David Hernández-Enríquez
Keyword(s):  
Data Analysis ◽  
Coarse Grained ◽  
Entropy Measure ◽  
Practical Application ◽  
Noise Traders ◽  
Multi Scale

In this paper a comparative, coarse grained, entropy data analysis of multi-scale log-returns distribution, produced by an ideal “optimal trader” and one thousand “noise traders” performing “bucket shop” trading, by following four different financial daily indices, is presented. A sole optimal trader is assigned to each one of these four analyzed markets, DJIA, IPC, Nikkei and DAX. Distribution of differential entropies of the corresponding multi-scale log-returns of the optimal and noise traders are calculated. Kullback-Leiber distances between the different optimal traders returns distributions are also calculated and results discussed. We show that the entropy of returns distribution of optimal traders for each analyzed market indeed reaches minimum values with respect to entropy distribution of noise traders and we measure this distance in σ units for each analyzed market. We also include a discussion on stationarity of the introduced multi-scale log-returns observable. Finally, a practical application of the obtained results related with ranking markets by their entropy measure as calculated here is presented.

scholarly journals Modern Techniques in Data Analysis, with Application to the Water Pollution

2018 ◽  
Vol 72 (3) ◽  
pp. 184-192 ◽  
Author(s):  
Haroon M. Barakat ◽  
Osama Mohareb Khaled ◽  
N. Khalil Rakha
Keyword(s):  
Water Pollution ◽  
Drinking Water ◽  
Data Analysis ◽  
Normal Family ◽  
Distribution Theory ◽  
Data Sets ◽  
Practical Application ◽  
Asymmetry Parameters ◽  
Best Fit

Abstract This paper presents a comparison of most capable families of distributions for modelling asymmetry. Kum-normal, stable-symmetric normal family and two of the full families were chosen, where the quality of the fit, the flexibility and the amount of asymmetry parameters were factors used for comparison. The objective of this study was to generate data with increasing levels of asymmetry and to choose the best fit. The distributions were also compared in modelling two data sets of pollution of the drinking water in the El-Sharkia governorate in Egypt. Much of this paper is concerned with the distribution theory, exploring the properties of some new recent families of distributions and, where appropriate, extolling their virtues. Relatively, much of this paper is devoted to practical application.

The Big Data Illusion

2021 ◽  
Vol 13 (2) ◽  
pp. 157-166
Author(s):  
Dirk Schmücker ◽  
Julian Reif
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Open Data ◽  
Big Data Analysis ◽  
Practical Application ◽  
Tourism Research ◽  
Call To Action ◽  
Research And Practice ◽  
Potential Impact

Abstract Big Data analysis has drawn considerable interest both in tourism research and practice. The authors argue that, although the potential impact is promising, implementation often fails due to insufficient access to the data needed: Although Big Data is there, it is often not available for practical application. The authors therefore call to action in generating and using not only big, but open data.

CIM/XML Format-Based SCADA Data Analysis and Application

2012 ◽  
Vol 241-244 ◽  
pp. 3040-3046
Author(s):  
Shu Peng Wang ◽  
Yi Fei Xu ◽  
Su Xia Ma ◽  
Lin Hai Qi
Keyword(s):  
Data Analysis ◽  
Heterogeneous System ◽  
Information Model ◽  
Voltage Sag ◽  
Practical Application ◽  
Common Information ◽  
Common Information Model

With the putting forward and continuous expansion of the IEC 61970, the data interaction among heterogeneous system becomes possible, and continues to be put into practical application. In this paper, Firstly, CIM (common information model) was introduced, and the CIM/XML format was used to describe SCADA data. Secondly, SCADA data were analyzed and stored in database through the program. Finally, the specific application of analyzing SCADA data is described through the application in area of voltage Sag.

Survey on data analysis in social media: A practical application aspect

2020 ◽  
Vol 3 (4) ◽  
pp. 259-279 ◽  
Author(s):  
Qixuan Hou ◽  
Meng Han ◽  
Zhipeng Cai
Keyword(s):  
Social Media ◽  
Data Analysis ◽  
Practical Application
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