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      Personal name in Igbo Culture: A dataset on randomly selected personal names and their statistical analysis

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          Abstract

          This data article contains the statistical analysis of Igbo personal names and a sample of randomly selected of such names. This was presented as the following: 1). A simple random sampling of some Igbo personal names and their respective gender associated with each name. 2). The distribution of the vowels, consonants and letters of alphabets of the personal names. 3). The distribution of name length. 4). The distribution of initial and terminal letters of Igbo personal names. The significance of the data was discussed.

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          Survey datasets on the externalizing behaviors of primary school pupils and secondary school students in some selected schools in Ogun State, Nigeria

          This data article contains the partial analysis (descriptive statistics) of data obtained from 1770 primary school pupils and secondary school students in three Local Government Areas of Ogun State, Nigeria. The schools are either privately owned or public (government owned) schools. The aim of the field survey is to measure the level and patterns of externalizing behavior of the respondents. The data was collected using a standardized questionnaire. The questionnaire is a modification of Achenbach manual for Child behavior checklist (Achenbach, 2001) [1] and manual for Youth self-report (Achenbach and Rescorla, 2001) [2]. The questionnaire was designed to suit the demographic and socio-cultural nature of the target population. Analysis of the data can provide useful insights to the patterns of externalizing behavior of primary school pupils and secondary school students.
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            Survey data on factors affecting negotiation of professional fees between Estate Valuers and their clients when the mortgage is financed by bank loan: A case study of mortgage valuations in Ikeja, Lagos State, Nigeria

            In this article, two sets of questionnaires were administered to professionals and clients (commercial banks) on their willingness to negotiate the professional fees charged by the Estate Valuers assuming that the mortgage in valuation was financed by bank loan. A range of fees options were provided. Other factors such as the business environment and mortgage valuation can influence the negotiated fees when the data obtained from the survey data is analyzed.
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              Residential construction cost: An Italian survey

              This paper reports data describing development projects for new buildings according to construction costs in North-East Italy. A survey was carried out on local companies undertaking new residential development projects in two Italian regions (Veneto and Lombardy). The aim of this survey was to record new real estate construction projects, collecting both technical and socio-economic cost features. It is extremely difficult to collect such data for the Italian real estate construction sector, due to its lack of transparency, so that the novelty for the Italian scenario is the dataset itself. Another interest perspective of this survey is that socio-economic characteristics were also recorded; they are often studied in urban economics, but are usually related to property purchase prices and values, not to construction costs. The data come from an analysis of Canesi and Marella regarding the relationship between the trend of construction costs and the socio-economic conditions of the reference setting, such as the mean years of schooling of the workforce, housing market trends, and average per capita income.
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                Author and article information

                Contributors
                Journal
                Data Brief
                Data Brief
                Data in Brief
                Elsevier
                2352-3409
                01 September 2017
                December 2017
                01 September 2017
                : 15
                : 72-80
                Affiliations
                [a ]Department of Mathematics, Covenant University, Canaanland, Ota, Nigeria
                [b ]Department of Mathematics, University of Lagos, Akoka, Lagos, Nigeia
                [c ]Department of Computer Science, University of Nigeria, Nsukka, Nigeria
                [d ]Digital Bridge Institute, International Centre for Information & Communications Technology Studies, Abuja, Nigeria
                [e ]Computer Science and Informatics Prograamme, Department of Mathematics, Computing & Physical Sciences, Federal University Otuoke, Otuoke, Nigeria
                [f ]African Institute for Mathematical Sciences, Cameroon
                Author notes
                Article
                S2352-3409(17)30422-5
                10.1016/j.dib.2017.08.045
                5612788
                8a8743e0-474f-4173-ba1a-b3aa9af2e9dd
                © 2017 The Authers

                This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

                History
                : 28 April 2017
                : 28 July 2017
                : 29 August 2017
                Categories
                Data Article

                igbo name,personal name,statistics,distribution,linguistics,onomastics

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