https://srinivaspublication.com/journal/index.php/ijmts/issue/feed International Journal of Management, Technology and Social Sciences (IJMTS) 2021-06-10T15:19:51+00:00 Managing Editor ijmts@srinivaspublication.com Open Journal Systems <p><strong>International Journal of Management, Technology, and Social Sciences (IJMTS) (ISSN - 2581-6012)</strong> is an online, not-for-profit, university sponsored free publication, blind peer-reviewed, open-access, bi-annual but continuous weekly uploading of accepted papers, plagiarism free, refereed research journal published by Srinivas Publication, Srinivas University, India. IJMTS offers free publication opportunity to its authors, allows to keep Copyright of the scholarly paper with the authors. It provides a global author-centric publishing platform for Professors, Research scholars, academicians, professionals, and students engaged in Research. The main aim of IJMTS is to become the world’s leading Author-Centred fast publication journal that is preferred and trusted by the research community through publishing authentic, peer-reviewed, and scientifically developed research articles of international calibre. IJMTS publishes research papers in the field Management, Technology, Education, and Social Sciences. The Journal publishes scholarly articles in English. IJMTS accepts exceptional research contribution from the authors in the form of original papers, review papers, conceptual framework, analytical and simulation models, case studies, empirical research, and technical notes. All submissions are also checked for plagiarism. The length of the manuscript must be between five (5) to twenty (20) journal pages excluding references. The journal follows the <a href="https://publicationethics.org/">|C|O|P|E|</a> (Committee on Publication Ethics) guidance while accepting scholarly papers for publication.</p> https://srinivaspublication.com/journal/index.php/ijmts/article/view/352 Green and Eco-friendly Nanotechnology – Concepts and Industrial Prospects 2021-03-09T10:07:30+00:00 Shubhrajyotsna Aithal shubhraaithal@gmail.com Aithal P. S. psaithal@gmail.com <p>Nanotechnology is considered as a tool for solving problems and providing comfort in thelivelihood of human beings, also possess challenges and treats if not used carefully.nanotechnology if used properly can support to realize the 17 Sustainable Development Goals(SDG) to be realized by 2030. Nanotechnology, being multidisciplinary frontier technologyuseful for innovative solutions in primary, secondary, tertiary, and quaternary industry sectorshas shown slow progress due to its potential risks due to predicted nanotoxicity. To counterthis but to use nanotechnology solutions in societal progress, green and eco-friendlynanotechnology solutions play a major role in realizing sustainable development goals andeliminates the threat of the technification of development processes. This paper discusses theconcept, current research outcome, and the industrial prospects of achieving global SDG andmuch more using green and eco-friendly nanotechnology in 21st century.</p> 2021-03-10T00:00:00+00:00 Copyright (c) 2021 https://srinivaspublication.com/journal/index.php/ijmts/article/view/363 A Panel Data Analysis of Stock Returns and Accounting Information in Indian Paint Industry 2021-03-10T03:32:33+00:00 Pradeep Kumar Rangi pradeep.rangi@gmail.com Aithal P. S. psaithal@gmail.com <p>The accounting ratios and published financial information serve as a critical tool for investors, creditors, and other stakeholders to ascertain companies' profitability, control, and financial status, which may significantly impact the Stock returns and performance on exchanges. This paper aims to examine whether crucial accounting information affects the price of paint companies in India. In this paper, nine-years (2012-2020) accounting ratios such as returns on asset, equity, and cash cycles for the five listed paint companies in India as explanatory (independent) variables to estimate stock returns. Secondary data is collected chronologically and at a regular yearly frequency. Variables data are derived from the company’s financial statements, Stock Exchange and related website. The study aims to assess and elaborate these accounting ratios effectiveness to substantiate the stock returns of these listed companies. The study uses three-panel data models, the pooled OLS, fixed and random effects, to assess stock returns for the cross-sectional data of these five paint companies. This research indicates that accounting information is significant and positively affects the price of Paint company stock returns on the stock exchange. Both Fixed and Random effect model found to fit the data, significance level of 0.05 (Fixed (FE) at F= 6.3625, p&lt;0.000 and R2 of 0.5462, i.e., fixed effect elaborates for about 55% of the return variance. Random effect at F=10.8647 and p&lt;0.000 and R2 of 0.4429, i.e., elaborates for about 44% of stock return variance. Based on the Hausman data test alternative hypothesis is found to be consistent and therefore Random Effect (RE) model is being used to conclude the findings. The paper's fundamental limitation includes use of limited regressors, companies, and time period. A further qualitative analysis together with other accounting performance indicators as regressors may be included in future studies. These ratios include interest coverage, debt ratios, effective tax rates, asset turnover ratios, dividend distribution ratios, sustainable growth, and top line revenue growth</p> 2021-03-10T00:00:00+00:00 Copyright (c) 2021 https://srinivaspublication.com/journal/index.php/ijmts/article/view/364 An Implementation of IoT and Data Analytics in Smart Agricultural System – A Systematic Literature Review 2021-03-10T03:36:58+00:00 Vikranth K. vikranth.kadya@gmail.com Krishna Prasad K. karanikrishna@gmail.com <p>India is a country that depends on agriculture, where about half the population relies heavily on agriculture for their livelihood. However, most of the practices undertaken in the agricultural process are not for profit and yield favorable. It should upgrade with current technologies to boost seed quality, check soil infertility, check the water level, environmental changes, and market price prediction, and achieve in agriculture sensitivity of faults and background understanding. The advancement in technology and developments is seen as a significant aspect in their financial development and agricultural production growth. The Internet of Things (IoT), Wireless Sensor Networks (WSN), and data analytics accomplish these upgrades. These technologies help in providing solutions to agricultural issues such as resource optimization, agricultural land monitoring, and decision-making support, awareness of the crop, land, weather, and market conditions for farmers. Smart agriculture is based on data from sensors, data from cloud platform storage and data from databases, all three concepts need to be implemented. The data are collected from different sensors and stored in a cloud-based back end support, which is then analyzed using proper analytics techniques, and then the relevant information is transferred to a user interface, which naturally supported the decision to conclude. The IoT applications mainly use sensors to monitor the situation, which collects a large size of data every time, so in the case of the Internet of Things (IoT) application, sensors contribute more. Data analytics requires data storage, data aggregation, data processing and data extraction. To retrieve data and information from database, we must use data mining techniques. It acts a significant position in the selection-making process on several agricultural issues. The eventual objective of data mining is to acquire information form data transform it for some advanced use into a unique human-comprehensible format. Big data's role in Agriculture affords prospect to increase the farmers' economic gain by undergoing a digital revolution in this aspect that we examine with precision. This paper includes reviewing a summary of some of the conference papers, journals, and books that have been going in favor of smart agriculture. The type of data required for smart farming system are analyzed and the architecture and schematic diagram of a proposed intelligent farming system are included. It also involves implementing different components of the smart farming system and integrating IoT and data analytics in the smart farming system. Based on the review, research gap, research agendas to carry out further research are identified</p> 2021-03-10T00:00:00+00:00 Copyright (c) 2021 https://srinivaspublication.com/journal/index.php/ijmts/article/view/365 Infatuation, Romantic Relationship and Learning Behaviour among School Going Adolescents 2021-03-10T03:41:55+00:00 Gururaj Ganapati Gouda gururajitgi@gmail.com Laveena D’Mello lavynoronha@gmail.com <p>The adolescence is an important period in which one's character, behaviour, habits, and future lifestyles are developed. Influence of peer is more than the influence of adults, parents, and teachers in this period. Therefore, this research paper aims to explore the potential impact of infatuation and romantic relation to learning behaviour of school-going adolescents. Total of 108 adolescent students were surveyed using the questionnaire method. Both the primary and secondary data are used in this study and it is descriptive in nature. Result highlights that a majority of the respondents have experienced distraction, stress, and low academic performance due to infatuation and romantic relationship. It has a negative impact on learning behaviour among adolescents undergoing infatuation or romantic relation. It is recommended that creation of awareness among teachers and parents in the school and home to provide appropriate support and care to the adolescents is essential. A flexible environment in the school and home must be created to make the adolescents develop positive behaviour towards learning.</p> 2021-03-10T00:00:00+00:00 Copyright (c) 2021 https://srinivaspublication.com/journal/index.php/ijmts/article/view/493 Literature Survey and Research Agenda of Risk Determinants in Indian Equities and Machine Learning 2021-03-17T07:08:26+00:00 Pradeep Kumar Rangi pradeep.rangi@gmail.com Aithal P.S. psaithal@gmail.com <p>Notwithstanding the financial slowdown and severity of the Coronavirus pandemic during 2020, several retail investors ventures directly to the secondary equities market, setting off gigantic purchasing. A review of SEBI data indicates that over 6 million new dematerialization accounts between April and September 2020 are about 125 percent growth on year on year basis. At the same time, data reported by AMFI shows net outflows from equity funds by retail investors. These data points indicate that retail investors may have opted to invest using direct stock investments instead of relying on the equity mutual fund manager. Equity Investment is a dynamic process requiring and require considering different variables in selecting and, more importantly, avoiding stocks. The cornerstone of wealth creation is to invest in stores at a price considerably smaller than their intrinsic value. The very foundation of creating long-term wealth using equities is deeply embedded. One is buying businesses at a price substantially below its intrinsic value (intrinsic value indicates the entity's future cash flows after estimating the number of accounting risk, macro-economic, managerial, and behavioral risk determinants). This Literature review, therefore, is organized to cover Behavioral, Accounting, Macro-economic, Volatility, and Management theories and Forecasting and ML techniques for clustering, predictions, and classification to support risk decisions using different models, e.g., ARIMA, LSTM, VAR, Facebook Prophet, ARCH and GARCH family models, etc. The literature review also establishes that the concept of risk is highly subjective and is perceived by different investors differently; it is not always entirely objective and outside the beliefs, cognitive and socio-cultural considerations requiring careful assessment before making investment decisions. However, examining the critical risk indicators would allow investors to make a more informed decision. The research gap and identified agenda for further review were defined and assessed using valuable ABCD and SWOT management frameworks. Consequently, the literature investigation findings are analyzed by offering recommendations for creating a comprehensive research agenda pertinent to long-term equity investors in the Indian Equity market.</p> 2021-03-15T00:00:00+00:00 Copyright (c) 2021 https://srinivaspublication.com/journal/index.php/ijmts/article/view/494 Survey of Twitter Viewpoint on Application of Drugs by VADER Sentiment Analysis among Distinct Countries 2021-03-17T07:29:35+00:00 Rajesh Bose bose.raj00028@gmail.com Aithal P.S. psaithal@gmail.com Sandip Roy sandiproy86@gmail.com <p>Who does not know that Twitter is an august social networking podium now? Here the folks around the globe are able to establish their viewpoints. Every day, almost 500 million tweets are established in twitter, and this volume contains 8TB data. The data that we derive from twitter is very much significant if we illustrate it, because we are able to derive significant news in the mode of sentiment analysis. From Twitter data, we get to know about the information and remarks of the augmentation of various product, novel fashion etc. Exploration of emotions, viewpoints, subjectivity and motive from a normal message or tweet for the application of drugs for the therapy of COVID-19, is the prime objective of this sentiment analysis. Now, comes clustering. It’s a method by which one can detect homogeneous substances, combine together and create a class or cluster. There was an initiative from of going on with a research from our end and the result of it showed that the implementation of clustering is able to get infirm and solid positive or negative tweets while getting clustered with outcomes of distinct dictionaries and present robust scaffolding on our prediction. The research analyzes the polarity calculation, applying VADER sentiment analysis for the application of drug for the therapy of COVID-19.</p> 2021-03-17T00:00:00+00:00 Copyright (c) 2021 https://srinivaspublication.com/journal/index.php/ijmts/article/view/502 Online Language Teaching: Methods and Strategies, Possibilities and Opportunities 2021-03-17T09:25:46+00:00 Bharathi S. Rai raibharathi@yahoo.com Rajeshwari M. rajimuraleedhar@gmail.com <p>Online Teaching has been an effective method to meet a great number of learners at the global level. Learning this way leads the eager learners to find different ways to discover new horizons of knowledge. The online content of language learning has led many information seekers to concentrate on the acquisition of exuberant language skills. This paper study various methods and techniques that could be used to connect diverse information aspirants. Challenges are also being discussed in the existing eligible system for online language teaching. The virtual classroom here is designed with cyberspace to create a language learning atmosphere. The paper outlines the reasoning, design, including the use of these lesson plans that facilitate action and reflection across the learning cycle. The techniques and approaches set out in this paper will provide insight into the outcome of the initiative. This research also provides a look at the shots of online teaching. This study examines potential approaches and techniques and explores the wider possibilities and varied prospects for achieving the objective of helping the target group of students to achieve their goals. Possibilities have brought more benefits not only to the pupils, but also to the aspirants, irrespective of their age group. It also suggests some potential online training methodologies for teachers to take classes online.</p> 2021-03-17T00:00:00+00:00 Copyright (c) 2021 https://srinivaspublication.com/journal/index.php/ijmts/article/view/556 Foreign Aid Movements in Nepal 2021-04-10T05:25:27+00:00 Anjay Kumar Mishra anjaymishra2000@gmail.com Aithal P. S. psaithal@gmail.com <p><strong>Purpose:</strong> Development needs fund and foreign aid is one of the majour source of fund for developing countries. The Paper aims to analyse the trends and composition of foreign aids with case reference to the Swiss aid.</p> <p><strong>Design/Methodology/Approach:</strong> The study is based on secondary data from 2001/02 to 2014/15.Descriptive statistics has been applied to develop the trends and compositions.</p> <p><strong>Findings/Result:</strong> In FY 2014/15, the total foreign aid commitment increased by totaling to Rs.1195.5 million as compared to Rs.2125.9 million in FY 2014/15. Of the total commitment in FY 2014/15 the contribution of bilateral aid was totaling and multilateral aid contributed. While categorizing the total foreign aid the share of grant assistance constituted and loan assistance million. In FY 2014/15 the foreign grant assistant subsequently increased by whereas foreign loan assistance decreased. The bilateral aid disbursement was out of total bilateral aid commitment. Multilateral aid disbursement was 56 percent. The amount of loan is increasing in the economy. This condition also indicates that in future debt burden in budgetary system is directly reducing the development expenditure which decreases the flow of budget in poverty reduction sectors. In amount Swiss aid is much less but is efficiency is widespread in increasing people's living standard. Due to 100% grant Swiss aid doesn't create fiscal burden in the economy.</p> <p><strong>Originality/Value:</strong> it is an empirical research to signify the urgency of increasing Swiss aid and Swiss project in Nepal for sustained and broad-based economic development.</p> <p><strong>Paper Type:</strong> Analytical Policy Research</p> 2021-04-10T00:00:00+00:00 Copyright (c) 2021 https://srinivaspublication.com/journal/index.php/ijmts/article/view/562 Foreign Aid Contribution for the Development of Nepal 2021-04-22T04:16:54+00:00 Anjay Kumar Mishra anjaymishra2000@gmail.com Aithal P. S. psaithal@gmail.com <p><strong>Purpose:</strong> Nepal is small and beautiful country with a great deficiency in infrastructure development.&nbsp;&nbsp; Foreign aid is believed as key component for development in Nepal. The Paper aims to assess foreign aid contribution for developing Nepal.</p> <p><strong>Design/Methodology/Approach:</strong> The study is based on secondary data from 2001/02 to 2014/15 with special reference to Swiss aid. The correlation and regression with normality test have been applied to conform the contributory association among GDP, Swiss Aid and total Aid.</p> <p><strong>Findings/Result:</strong> The real GDP and Aid are highly associated. The regression line is well fit and explained that 85 percent real GDP depends on Swiss aid and the remaining 14 percent other variables. The coefficient of LNTAD is 0.35 and it shows that one percent increase in the total aid increases real GDP by 0.35 percent. The coefficient of LNTAD is positive and significant, meaning that the increase in the total aid increases economic growth in Nepal. By using Brush- Godfery LM test, the P value is more than 5 five percent, which is 32 percent indicates that there is no autocorrelation among the error terms.&nbsp;</p> <p><strong>Originality/Value:</strong> It is an empirical research to signify the contribution of aid for development of Nepal using inferential model.</p> <p><strong>Paper Type:</strong> Analytical Policy Research</p> 2021-04-22T00:00:00+00:00 Copyright (c) 2021 https://srinivaspublication.com/journal/index.php/ijmts/article/view/585 Analysis of GDP using the n-variable Regression Model 2021-05-20T04:17:36+00:00 Krishna Kumar Chaudhary srinivaspublication@gmail.com Anjay Kumar Mishra anjaymishra2000@gmail.com <p><strong>Purpose:</strong> Gross Domestic Product(GDP) depends on Agriculture, Service, and industry performance. The main aim of the study is to assess the relationship between dependent variable GDP and Independent variables agriculture, industry, and service sector by using the n-variable Regression Model at initial condition.</p> <p><strong>Design/Methodology/Approach:</strong> The study is an application of the n-variable Regression Model at the initial condition to analyze the situation of GDP along with reasons not becoming zero GDP even after using the initial condition. The secondary data of the GDP of Nepal from the Central Bureau of Statistics of 10 years till 2019/20 has been analyzed.&nbsp; By finding cofactors of correlation coefficient matrix, Mean and standard deviation of the individual data to establish the linear relationship between dependent and independent variable.</p> <p><strong>Findings/Result:</strong> Under initial conditions, if all the independent variables zero, the GDP is −751028.431 billion, negative sign shows that GDP decreases highly if the entire major factor has no role in GDP. It is non-zero GDP.&nbsp; It means in the 11<sup>th</sup> year the stated amount will be expended from the previous year saving for forex to import which will not be possible in a sustainable economy. It will not be possible in real conditions however it may be hypothetical possible either because of the impact of informal economy or disinvestment or negative net exports. It is significant for forecasting the future GDP of a country effectively assuming different conditions for policy formulation.</p> <p><strong>Originality/Value:</strong> It is the first empirical research using the n-variable Regression Model for GDP Analysis.</p> <p><strong>Paper Type:</strong> Analytical Policy Research</p> 2021-05-20T00:00:00+00:00 Copyright (c) 2021 https://srinivaspublication.com/journal/index.php/ijmts/article/view/620 Leisure and Quality of Life among Parents of Children with Autism Spectrum Disorder – A Review Based Analysis 2021-06-06T12:52:38+00:00 Menezes Ida Sylvia dishaasd2006@gmail.com Laveena D’Mello lavynoronha@gmail.com <p><strong>Purpose:</strong> Owing to the time-consuming job of caring for their child's family and friends, parents of children with autism spectrum disorder risk losing family relationships.&nbsp; The main aim was to identify and intervene in the quality of life of parents, the interventions offered to parents as primary caregivers of children with ASD. To explore parents' perspectives on beneficent for children with autism in connection with formative years, resources, and to confront the consequences of upraising a child with ASD.</p> <p><strong>Design/Methodology/Approach</strong>: Systematic literature, resulting in the publication of 27 studies that focused on the living standards of parents of children with ASD. Systematic literature scrutiny was performed using the search words "autism spectrum disorder," ‘primary caregiver/ parents/ mother” and "Quality of life" in the electronic databases Research gate, Academia, Google Scholar, and PsycInfo.</p> <p><strong>Findings/Result</strong>: QOL autism-specific assessment tools were limited and hence, most studies have employed a general measure tool to assess the influence of the diagnosed disorder on the physical and psychological well-being of parents/caregivers.</p> <p><strong>Originality/Value:</strong> The sequel of this study advocate that to date, the appraisal of quality life in parents of children with ASD into clinical practice has been rationalized by the shortage of autism-specific scales.&nbsp; As generically do not catch all pertinent aspects of living with ASD raising the need for immediate measures. Implementing parental interventions in parallel with the child’s interventions may raise QOL.</p> <p><strong>Paper Type:</strong> Systematic literature review.</p> 2021-06-06T00:00:00+00:00 Copyright (c) 2021 https://srinivaspublication.com/journal/index.php/ijmts/article/view/621 Smart Cities Development During and Post COVID-19 Pandemic – A Predictive Analysis 2021-06-06T13:08:17+00:00 Dipak S. Gade dipak.pdf@srinivasuniversity.edu.in Aithal P. S. psaithal@gmail.com <p><strong>Purpose</strong>: <em>The Smart Cities due to their important role in infrastructure building activities and offering smart services to their residents in living an enjoyable life are always in the limelight and discussions. The current COVID-19 pandemic has however changed the situation, and has forced us to rethink the way we operate, carry out day to day activities and services. COVID-19 pandemic has changed the normal routine life to a significant extent, damaged the economies of many countries, shifted our business priorities, and so on. In such situations, how can Smart Cities remain unaffected due to COVID-19? This paper has analysed and discussed in detail the impact of the COVID-19 pandemic on Smart Cities operations and development and also, how this impact can be measured. It has described in detail how Smart Cities has changed their priorities and how they are more focusing on building Smart Healthcare facilities, Smart Isolation Wards, Smart Medicare facilities, services related to Telemedicine, Virtual Doctor, dedicated COVID-19 Command and Control Centres and so on. The paper has also highlighted the post COVID-19 Pandemic era for Smart Cities development and operations. Finally, the paper has concluded that Smart Cities development during and post COVID-19 Pandemic has witnessed a short obstacle in its growth journey, Smart Cities are definitely going to win the war against COVID-19 and will become Smarter in the future to tackle such pandemics. </em></p> <p><strong>Design/Methodology/Approach</strong>: <em>This research paper made use of available secondary data in research journal papers, online books, white papers, and dedicated websites on the research subject area to analyze the impact of COVID-19 Pandemic on Smart Cities Development and Operations.</em></p> <p><strong>Findings/Result</strong>: <em>Due to COVID-19 Pandemic, it is observed that many sectors growth slow down due to budget cut and financial constraints, however, certain sectors such as Medical Infrastructure, Insurance, and eCommerce have seen booms, this has made Smart Cities to have a strong&nbsp; focus on certain Smart Services related to Medical facilities, IT infrastructure to facilitate contactless transactions, Telemedicine Service, Smart Isolation Wards, etc. whereas services with respect to entertainment parks, tourism, etc. slowed down due to less priority and budget constraints. </em></p> <p><strong>Originality/Value</strong>: <em>Based on the available secondary data, this research has identified the impact of COVID-19 on ongoing Smart Cities development and also how its priorities and focus got shifted to build up certain services and infrastructure. The paper has also highlighted post COVID-19, how Smart Cities development, operations, and maintenance activities will be affected.</em></p> <p><strong>Paper Type</strong>: <em>Secondary data-based Research</em>&nbsp;&nbsp;</p> 2021-06-06T00:00:00+00:00 Copyright (c) 2021 https://srinivaspublication.com/journal/index.php/ijmts/article/view/630 Students’ Perception of the Effectiveness of Technology Assisted Online Education During COVID-19 Pandemic: An Empirical Study 2021-06-10T15:19:51+00:00 Vinayachandra veeciashu@gmail.com Geetha Poornima K. poornima.sanjay@gmail.com Rajeshwari M. rajimuraleedhar@gmail.com Krishna Prasad K. krishnaprasadkcci@srinivasuniversity.edu.in <p><strong>Purpose</strong>: The whole calendar year 2020, as well as early indications, suggest, the year 2021, would be challenging for the global community. The COVID-19 pandemics spread through the world, affecting all facets of human endeavor, from industrial development to academic calendar re-adjustments at all educational institutions around the world. Stakeholders and administrators of academic institutions have no choice but to use internet technology, and therefore online learning, to continue academic activities in all institutions around the world. This paper aims to determine if students in higher educational institutions are happy with technology-assisted Online Education during COVID-19 Pandemic. The study used an online survey to find out how students are coping with online education, which has been around for years but is still not widely used, and how happy they are with it.</p> <p><strong>Methodology</strong>: Convenience sampling was employed to collect data for the analysis because it is a non-probability sampling methodology. The aim of using this method is to come up with hypotheses and conduct exploratory research on the topic. It also addresses budget and time constraints. As participants in this research, students from higher education institutions responded to the survey. Higher education students are preferred because they have already been exposed to technology, online platforms, and the ability to adapt, which is the essence of remote learning.</p> <p><strong>Findings/Result</strong>:&nbsp; The study's findings show that adding online education was a good decision since the majority of students surveyed supported it in this epidemic since it allowed them to complete their studies.&nbsp; In terms of satisfaction with online education, the study discovered that there is a gender divide. Students are self-sufficient in terms of the devices they use to take online classes, with a large percentage of students attending online classes using their smartphones. Synchronous delivery options, such as live classes, are not preferred by online educators. Female students spend more time on online education activities than male students. Finally, the study discovered that the most significant barrier to students participating in online education is a lack of internet connectivity in both rural and suburban settings.</p> <p><strong>Originality: </strong>&nbsp;This study examines how satisfied students are with technology-assisted online education at higher education institutions. The results of this study would be very useful to the administrators of higher education institutions in making potential emergency decisions about the planning of online learning services for students from various backgrounds.</p> <p><strong>Paper Type:</strong>&nbsp; Exploratory data analysis (EDA). This type is used to comprehend and summarize the contents of a dataset, usually to answer a particular query or to prepare for more sophisticated statistical modeling in subsequent stages of data analysis.</p> 2021-06-10T00:00:00+00:00 Copyright (c) 2021