Chart table frequency sex

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Lesson Two

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Comparing Frequency Distributions

The present paper aims to provide basic guidelines to present epidemiological data using tables and graphs in Dermatology. Although simple, the preparation of tables and graphs should follow basic recommendations, which make it much easier to understand the data under analysis and to promote accurate communication in science. Additionally, this paper deals with other basic concepts in epidemiology, such as variable, observation, and data, which are useful both in the exchange of information between researchers and in the planning and conception of a research project. Among the essential stages of epidemiological research, one of the most important is the identification of data with which the researcher is working, as well as a clear and synthetic description of these data using graphs and tables. For example, the use of a certain type of data impacts the amount of time it will take to collect the desired information throughout the field work and the selection of the most appropriate statistical tests for data analysis. The correct preparation of tables allows researchers to present information about tens or hundreds of individuals efficiently and with significant visual appeal, making the results more easily understandable and thus more attractive to the users of the produced information. Therefore, it is very important for the authors of scientific articles to master the preparation of tables and graphs, which requires previous knowledge of data characteristics and the ability of identifying which type of table or graph is the most appropriate for the situation of interest.
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Visual Dashboard: Performing Statistical Analyses with Visual Tools

Frequency distributions can also be presented graphically - typically in the form of a chart. Appropriate charts for presenting frequency distribution include bar charts including grouped bar charts as well as pie charts. The simplest bar chart is used to display the data from a one-variable frequency table. Each value or category of the variable is represented by a bar.
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