International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395 -0056
Volume: 04 Issue: 03 | Mar -2017
p-ISSN: 2395-0072
www.irjet.net
Graphical Analysis of Simulated Financial Data using R Shubhi Gangele1, Pamila Koli2, Prof.Nilima Nikam3 Dept. of Computer Engineering, YTIET, Chandhai, Karjat-410201. --------------------------------------------------------------------***--------------------------------------------------------------------machine analysis may make them otherwise Abstract-We have particularly seen in case of Indian intractable.Visual analytics advances science and markets that they are not efficient. When a good event or bad event happens, the market valuation of a particular technology developments in analytical reasoning, product or company is slow to respond. It may take from interaction, data transformations and hours to days for the market price to reach its actual representations for computation and visualization, valuation. Even with publicly available information like analytic reporting, and technology transition. financial sheets, there seems to be an delay in market As a research agenda, visual analytics brings adjusting to the actual valuation of the company. Keeping together several scientific and technical communities this in mind we have developed a tool which would calculate from computer science, information visualization, basic financial ratios to help investors realize the market cognitive and perceptual sciences, interactive design, value of the company with publicly available graphic design, and social sciences. information.Two of the tools we have developed are DuPont analysis on financial data available from a company in London. Similar we have developed ANOVA analysis on simulated data.Our simulation can generate random numbers in huge amounts & then perform a analysis on it.The following paper demonstrates the process & rationale behind doing it.
1.2 About R Programming R and its libraries implement a wide variety of statistical and graphical techniques, including linear and nonlinear modeling, classical statistical tests, time-series analysis, classification, clustering, and others. R is easily extensible through functions and extensions, and the R community is noted for its active contributions in terms of packages. Many of R's standard functions are written in R itself, which makes it easy for users to follow the algorithmic choices made. For computationally intensive tasks, C, C++, and Fortran code can be linked and called at run time. Advanced users can write C, C++, Java, .NET or Python code to manipulate R objects directly. R is highly extensible through the use of user-submitted packages for specific functions or specific areas of study. Due to its S heritage, R has stronger objectoriented programming facilities than most statistical computing languages.Another strength of R is static graphics, which can produce quality graphs, including mathematical symbols. Dynamic and interactive graphics are available through additional packages.
Key Words:Dupont analysis, Big data,R,Anova analysis.
1.Introduction
Financial analysis refers to an assessment of the viability, stability and profitability of a business, subbusiness or project. It is performed by professionals who prepare reports using ratios that make use of information taken from financial statements and other reports. These reports are usually presented to top management as one of their bases in making business decisions. Financial Statements are used for a Multitude of Different Purposes.Readers of a financial statement are seeking to understand key facts about the performance and disposition of a business. For example, return on assets (ROA) is a common ratio used to determine how efficient a company is at using its assets and as a measure of profitability. This ratio could be calculated for several similar companies and compared as part of a larger analysis.
2. Analytical Techniques
1.1 Graphical Analysis
2.1 Dupont Analysis
Graphical analytics is "the science of analytical reasoning facilitated by interactive visual interfaces." It can attack certain problems whose size, complexity, and need for closely coupled human and Š 2017, IRJET
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DuPont analysis is a method of performance measurement that was started by the DuPont Corporation in the 1920s. With this method, assets |
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