Aplikace na konverzi mezi různými způsoby reprezentace statistických dat ve formátu CSV

The research topic of the thesis deals with the transformation of statistical data between various representations in CSV format. The thesis has two main goals.The first goal is to compare different approaches of the publication of statistical data, with a focus on comparison of statistical data in CSV format with other approaches. In order to fulfil this goal, an identification of groups of statistical data’s users is carried out, based on the analogy of common characteristics of the users, which are described in the sources of information of this work. These groups of users, based on the synthesized characteristics, are drawn into a matrix. Hereafter an identification of suitable formats for statistical data publication is introduced. These formats are compared based on the defined criteria which are listed in the analysis of the groups of users. This process leads to the evaluation of the formats. They further, according to the evaluation, are projected into statistical data users’ matrix. The results thus show which format is suited for which category of groups of users.The second goal is to design and implement a computer software for conversion between different ways of representation of statistical data in CSV format. In order to accomplish this goal, it is necessary to analyse the data structure of statistical data in CSV format and identify requirements of the software functions. After that, on the basis of acquired knowledge, a software is designed, tested and implemented.The result of this thesis is the categorization of formats based on groups of statistical data users and the modular software, which transforms statistical data from one way of representation of CSV format to another. This software is open-source which enables users to add more modules in the future.