Knowee
Questions
Features
Study Tools

In data science using R under exploratory analysis, which of the following applications of ggplot2 helps to reduce the overplotting of points?AestheticsFacetingGeometric objectsPositional adjustments

Question

In data science using R under exploratory analysis, which of the following applications of ggplot2 helps to reduce the overplotting of points?AestheticsFacetingGeometric objectsPositional adjustments

🧐 Not the exact question you are looking for?Go ask a question

Solution

The application of ggplot2 that helps to reduce the overplotting of points in data science using R under exploratory analysis is Faceting.

Here's a step-by-step explanation:

  1. Overplotting occurs when a large number of points overlap on a plot, making it difficult to interpret the data.

  2. ggplot2 is a data visualization package for the statistical programming language R. It provides several tools to help with overplotting.

  3. Aesthetics in ggplot2 refers to visual properties of objects like color, shape, and size. While they can help in distinguishing different groups of data, they don't necessarily reduce overplotting.

  4. Geometric objects, or geoms, are the actual marks we put on a plot. Examples include points, lines, and bars. While they represent the data, they don't directly address overplotting.

  5. Positional adjustments are techniques to adjust the position of points to reduce overplotting, such as "jittering". However, this is not the best method when dealing with a large number of points.

  6. Faceting is a technique that creates multiple plots, one for each level of a factor or combination of factors. This can significantly reduce overplotting by spreading the data across multiple plots, making it easier to interpret. Therefore, Faceting is the correct answer.

This problem has been solved

Similar Questions

A data analyst is working with the penguins data. The analyst creates a scatterplot with the following code: ggplot(data = penguins) + geom_point(mapping = aes(x = flipper_length_mm, y = body_mass_g, alpha = species))What does the alpha aesthetic do to the appearance of the points on the plot? 1 pointMakes the points on the plot larger Makes some points on the plot more transparentMakes the points on the plot smallerMakes the points on the plot more colorful

Question 2Which R library will you use for data visualizations such as histograms, bar charts, and scatterplots? Select all that apply.1 pointLatticePlotlyggplotLeaflet

Following statements are TRUE about the ggplot2 except.facet_wrap() wraps a 1D sequence of panels into 3D. '+' is the key to add component to the plotgeom_bar() makes the height of the bar proportional to the number of casesAesthetic mappings describe how variables in the data are mapped to visual properties (aesthetics) of geoms

Question 2Which R library is used for machine learning?1 pointdplyrcaret ggplotstringr

Which of the following are operations you can perform in ggplot2? Select all that apply. 1 pointChange the colors and dimensions of your plotAdd a title and subtitle to your plot Create scatterplots and bar chartsAutomatically clean data before creating a plot

1/1

Upgrade your grade with Knowee

Get personalized homework help. Review tough concepts in more detail, or go deeper into your topic by exploring other relevant questions.