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EN
The article presents some proposals that might contribute towards improving quality while results of statistical analyses are presented in Polish publications within history and related disciplines. According to the author nowadays there are no clear standards determining the rules of such presentations, which often leads to a limited comparability of results and makes it impossible to apply the techniques of data meta-analysis, and insome cases also leads to serious methodological errors. The proposals included in the text consists of the following postulates: 1) to inform the reader of the number of the populations and subpopulations investigated; 2) to make a greater use of statistical measures that describe the distribution of the analysed communities; 3) to standardise the convention of recording such measures; 4) to inform the reader about the size of the standard errors; 5) to apply the commonly accepted rules concerning data grouping; 6) to take into account the spatial dimension of the analysed phenomenon, which should be presented in the form of maps and plans; 7) to urge the authors of academic texts to make public their data sets.
EN
In addition to data analysis, equally important issue, is the appropriate presentation of the analysis results during the economic, social and demographic studies. Depending on the legibility of the used form, it may make it easier or more difficult to interpret and draw conclusions. Especially difficult is the presentation of multidimensional data, according to the limitations of traditional types of graphs. The paper presents a graphical presentation of the three-dimensional data in the form of the so-called "map of differentiation" that is suitably modified spatial graph. There were presented different types of maps, layers determination ways and examples of specific applications for cigarettes consumption and diversification of logistics in the Polish food processing data.
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PL
W dobie XXI wieku mamy do czynienia z coraz większą ilością informacji wymagających odpowiedniego przetworzenia. Największym problemem jest kwestia selekcjonowania danych i wyodrębniania z nich tych najbardziej istotnych. Autorzy niniejszego opracowania podjęli próbę przedstawienia najważniejszych zasad prezentacji danych w nowoczesnych systemach Business Intelligence. Zasady te powinny pozwolić na ułatwienie czytelności zebranych informacji oraz ułatwienie ich interpretacji.
EN
In the XXI century we are dealing with large amount of data which we have to process. The pressure to achieve the biggest amount of information is on the top level. Very huge problem is filtration of the most significant information from this data stream. To solve above problem author of this article undertakes request to present main principles of data presentation in new Business Intelligence systems. The main role of assumed principles is readability and interpretation of presented data improvement. Keywords: BI reports, data presentation, dashboards visualization
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