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First steps of data exploration and visualization with Tidyverse

October 8, 2018
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First steps of data exploration and visualization with Tidyverse

CategoriesIntroduction Tags Data Visualisation R Programming tidyverse Tips & Tricks In this post, I will show you, how to use visualization and transformation for exploring your data in R. I will use several functions that come with Tidyverse package. In general, there are two types of variables, categorical and continuous. In this section, I will show the best option to examine their distributions using the...

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Mapping the Prevalence of Alzheimer Disease Mortality in the USA

August 18, 2018
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Mapping the Prevalence of Alzheimer Disease Mortality in the USA

In comparison with other statistical software (e.g., SAS, STATA, and SPSS), R is the best for data visualization. Therefore, in all posts I have written for DataScience+ I take advantage of R and make plots using ggplot2 to visualize all the findings. For example, previously I plotted the percentiles of body mass index in the Related Post Analysis of Los...

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Weight loss in the U.S. – An analysis of NHANES data with tidyverse

July 27, 2018
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Weight loss in the U.S. – An analysis of NHANES data with tidyverse

Based on a paper published in JAMA last year, the weight gain is increasing among US adults while there is no difference in the percentage of people that were trying to lose weight. The authors used the data from the National Health and Nutrition Examination Survey NHANES from 1988 to 2014 and calculated the proportion Related PostMachine Learning Results...

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