The user inputs is on the right panel, the output is on the left panel. The last outputs contain the data table.Īt the bottom of the application, there is a footer application.3D relative network plot, this is my favor plot, you will learn a lot about how the keywords connect.You will learn how to apply US map, add different colors, the hoover, and so on. US map represents the compare of the subjects by region. ![]() You either remove or explore more the subject you select. There is an icon, which contains 2 buttons, one is Remove and another one is Explore. ![]() Display the list of information boxes, which include the range of date, name of the key word, which date has the maximum of hits, the average of hits, and ranking between the keywords users provide. Google Trends normalizes search data to make comparisons between terms easier.These are the features we cover in this chapter.Īdd, Remove, Explore, Close, Download buttons with actionButton and downloadButton We will practice how to implement Google trend data into the app, create the information boxes with complex function, an US map, and 3D networks plot. Trends (number of hits) over the time as well as geographic representation of the results can be displayed. It is an interface for retrieving and displaying the information returned online by Google Trends is provided. For this example, we will compare Apple with Facebook and Samsung, adding each by clicking on the '+' icon. Google Trend Visualization Application is the third application in this book, the purpose of this application help the user explores the gtrendsR package ( ). To compare search terms, click on Compare and type in your terms or topics. Probability Distribution Shiny ApplicationĬhapter 11 Google Trend Visualization Application. ![]()
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