For Data Science Learners
ggdogs on ggplot2, With the help of the function instead of, you may use the package to add dog-related photos in place of dots in ggplot2. ggdogsgeom_doggeom_point You can send any of the sentences listed above to the feature to use the associated dog images. There are currently 15 different breeds of dogs accessible, called…
How to Add a caption to ggplot2 Plots in R?, the graphs in ggplot2 can have captions added using one of the methods listed below. With the following data frame in R, the following examples demonstrate how to use each technique in practice. A Side-by-Side Boxplot in R: How to Do It – Data Science…
How to Label Outliers in Boxplots in ggplot2, This article offers a detailed illustration of how to name outliers in ggplot2 boxplots. Step 1: Construct the data frame. Create the following data frame first, which will include details on the 60 distinct basketball players who played for three separate teams and scored points. How to…
How to add labels at the end of each line in ggplot2?, Using the ggplot2 R library, this article shows how to display the last value of each line as a label. Using either the ggrepel text labeling or the ggplot2 secondary axis functions, many methods are shown. Test for Normal Distribution in R-Quick Guide…
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 In this article, you’ll learn how to change the colors of ggplot2 visuals in the R programming language by utilizing different themes. Let’s start by making some sample data in R. set.seed(123)                            df <- data.frame(x = rnorm(100),                   y = rnorm(100),                   group = paste0(“group_”, LETTERS[1:5])) head(df)                                      x         y  group 1 0.7842588 -0.3663221 group_A 2 …
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Best GGPlot Themes, This tutorial covers everything you need to know about the greatest ggplot2 themes, including. How to use the built-in ggplot2 themes to change the appearance of plots. How to change the appearance of plots using the ggthemes library’s predefined themes. How to change the plot panel background and gridlines, as well as…
How to Display Percentages on Histogram in R, A histogram is one of the most commonly used charts to illustrate the distribution of a dataset. Histograms plot the frequency of observations of a variable using non-overlapping intervals, also called bin widths, on the horizontal axis and the count or percentage frequency on the vertical axis….
Data Science Strategies for Improving Customer Experience in R, Customer experience plays a crucial role in the success of any business. In today’s data-driven age, companies have access to vast amounts of customer data that can be used to improve the customer experience. In this article, we will explore data science strategies for improving customer…
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Predict potential customers in R, Finding variables that can be utilized to determine whether a potential customer is a high earner may be of interest to a marketing analyst. Information from the 1994 United States Census, which includes records from 32561 adults and a binary variable indicating whether each person makes more than $50000 or…
Dynamic data visualizations in R, Plot.ly specializes in dynamic data visualizations online and has a particular aptitude for translating R, Python, and other data processing tools’ code to produce data graphics. The plotly.js javascript library, which is open source and used in this project, is the foundation for it. The plotly package in R provides…
