Aisiri2023

DESCRIPTION

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+Title: Data Visualization
+ShortName: Data Visualization
+Date: 2023-07-25
+Lifecycle: experimental
+Authors@R: c(
+    person(given = "Neil", family = "Hatfield", email = "neil.hatfield@psu.edu", role = c("aut", "cre")),
+    person(given = "Anna (Yinqi)", family = "Zhang", role = c("aut")),
+    person(given = "Yiyun", family = "Gong", role = c("aut")),
+    person(given = "Ethan", family = "Wright", role = c("ctb")),
+    person(given = "Yijun", family = "Yao", role = c("ctb")),
+    person(given = "Aisiri", family = "Cherrimane", role = ("ctb"))
+  )
+Chapter: Chapter 11
+Description: The goal of the app is to provide users with a comprehensive introduction to data visualization, covering both basic and advanced techniques using ggplot, Rplot, and other tools.
+LearningObjectives: c(
+    "The student will learn to understand how to create simple data visualization plots using ggplot and Rplot.",
+    "The student will learn to understand how to create advanced data visualization using 3D plots, line plots, contour plots, and heat maps."
+  )
+DisplayMode: Normal
+URL: https://psu-eberly.shinyapps.io/Data_Visualization
+BugReports: https://github.com/EducationShinyAppTeam/Data_Visualization/issues
+License: CC-BY-NC-SA-4.0
+Tags: simulation
+Type: Shiny

aceText.R

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+initialAceText <- 'This is some markdown text. It may also have embedded R code which will be executed. Please also read the output message for more hints.
+
+You can add a new code chuck with following two lines
+```{r}
+```
+```{r}
+#structure on datasets we used in previous cases
+str(cars)
+str(trees)
+str(iris)
+```
+It can even include graphical elements.
+```{r}
+#ggplot with one variable
+#ggplot(aes(x=dist), data=cars)+geom_histogram()
+```
+```{r}
+#ggplot with two variable
+#ggplot(aes(x=Sepal.Length, y=Petal.Length), data=iris)+
+#geom_line()
+```
+```{r}
+#Rplot with one variable
+plot(cars$speed)
+```
+'