Learn ggplot2 Using Shiny App

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In the previous chapter, you have learned how to make a plot with just a click, without coding and applying various themes to the plot.

In this chapter, you can learn how to make a plot summarized data distribution.

In this chapter, you can learn how to make a scatter plots to show the relationship between two variables.

In this chapter, you can learn about jittering. The scatter plot can be used for visualizing both continuous and categorical variables and jittering helps to make better looking plots.

The biopsy data in the MASS package contains histogic data from 699 breast tumors. The result of biopsy was recorded as “” or “malignancy” in class column. With this data, we wants to make this plot.

In this chapter, you can learn how to label points in a scatter plot. We use the mtcars data extracted from 1974 Motor Trend US magazine. This data comprises fuel consumption and 10 aspects of automobile design and performance for 32 automobiles(1973–1974 models).

In this chapter, you can learn how to make a 2D density plot using 2D data.

In this chapter, you can learn how to draw a 2D contour. Function stat_contour() is used to display contours of a 3D surface in 2D.

Scatter plot usually shows the relationship between x- and y-axis variables. You can map the third variable to the size of area of dots and your plot shows the relationship among the three variables.

In this chapter, you can learn how to make a cleveland dot plot and how to sort a data using preprocessing.

In this chapter, you can learnBoxplot how to make a Wilkinson dotplot and a dotplot overlaid on box plot.

In this chapter, you will learn how to make a bar plot.

In this chapter, you will learn to make a bar plot representing values in the dataset.

In this chapter, you will learn how to add labels to bar plots representing counts. You can add labels using geom_text() function. If you want to add labels to a stacked bar plot or a proportional bar plot, some calculation will be needed.

In this chapter, you will learn how to add labels to bar plots representing values of data. The preprocessing is different from those representing counts. We will use the cabaage_exp data in the package gcookbookGcookbook. This data set has groupwise means, standard deviations, counts, and standard errors of the mean for the cabbages data set from the MASSMASS package.

In this chapter, you will learn how to draw a line graph.

In this chapter, you will learn how to make a multiplotMultiplot with error bars.

In this chapter, you will learn how to make a boxplot. Your goal is notched boxplot with median values.

In this chapter, you will learn how to make a violin plotViolin plot. The goal of this chapter is a violin plot overlapped with box plot, scatter plot, and statistical summary.

The R code for the area plot is cited from the book “R Graphics Cookbook” writtenR Graphics Cookbook by Winston ChangChang, Winston.

You can draw a polar plot (circular plot) using a polar coordinate system that expresses the coordinate system as an angle and a length. You can use the coord_polar () function to convert usual Cartesian coordinate to the polar coordinate system.

In addition to standard title, axis labels, and legends, you can add individual text or graphical elements, tables to intuitively understand graphs. In this chapter, you will learn how to annotateAnnotate the graph.

Tables and drawings can also be placed on the plot with annotation_custom() function.

In this chapter, you can learn how to put the regression line and the regression result table together in the scatter plot.

A heat map (or heatmap) is a graphical representation of data where the individual values contained in a matrix are represented as colors.

When drawing a bar graph, it is common to compare the height of the bars by placing a categorical variable on the x-axis and a continuous variable on the y-axis.

When drawing a bar graph, it is common to place a categorical variable on the x-axis and a continuous variable on the y-axis.

There are several ways to draw a map. In this chapter, you can learn how to draw a map using map data in the mapsMaps package.

In this chapter, you can learn how to make a choropleth map. A choropleth map is a thematic map in which areas are shaded or colored according to variable values.

To make an interactive plot using ggplot2, you can use the plotly or the ggiraphGgiraph package. The two packages have different advantages. I have created the package ggiraphExtraGgiraphExtra, which makes interactive plot easily using ggplot2 and ggiraphGgiraph package, and released it to CRAN and GitHub. In this chapter, you will learn how to make an interactive plot using ggiraphExtraGgiraphExtra package.