## How do you make an interactive plot in R?

Scatter and bubble plots: use plotly . The best way to build an interactive bubble chart from R is through the plotly library. If you know how to make a ggplot2 chart, you are 10 seconds away to rendering an interactive version= just call the ggplotly() function, and you’re done.

**How do you take user input in R?**

How to Read User Input in R?

- readline() function. We can read the input given by the user in the terminal with the readline() function. Code: input_read <- readline()
- scan() function. We can also use the scan() function to read user input. This function, however, can only read numeric values and returns a numeric vector.

### Is there an input function in R?

When we are working with R in an interactive session, we can use readline() function to take input from the user (terminal). This function will return a single element character vector. So, if we want numbers, we need to do appropriate conversions.

**Can markdown be interactive?**

R Markdown documents are a perfect platform for interactive content. To make your documents interactive, add: Interactive JavaScript visualizations based on htmlwidgets, or.

#### How do you make an interactive graph in Excel?

Steps to Make an Interactive Chart in Excel

- Prepare Data. First of all, copy this table and paste it below the original table.
- Insert Option Buttons. So next, you have to insert option buttons to automate value in cell A1.
- Insert Secondary Axis Chart. Now, it’s time to get down to the real thing.

**What is an interactive plot?**

Interactive Data Visualization Definition Interactive data visualization refers to the use of software that enables direct actions to modify elements on a graphical plot.

## How do I input a vector in R?

How to create vector in R?

- Using c() Function. To create a vector, we use the c() function: Code: > vec <- c(1,2,3,4,5) #creates a vector named vec.
- Using assign() function. Another way to create a vector is the assign() function. Code:
- Using : operator. An easy way to make integer vectors is to use the : operator. Code:

**Which keyword is used for taking input from the user?**

We can use raw_input() to enter numeric data also. In that case we use typecasting.For more details on typecasting refer this. Refer to the article Taking list as input from the user for more information.

### What is an input vector in R?

Vector is a basic data structure in R. It contains element of the same type. The data types can be logical, integer, double, character, complex or raw. A vector’s type can be checked with the typeof() function. Another important property of a vector is its length.

**How do I make an interactive markdown in R?**

You can make an R Markdown document interactive in two steps:

- add runtime: shiny to the document’s YAML header.
- add Shiny widgets and Shiny render functions to the file’s R code chunks.

#### How to create an interactive map in R?

Creating Interactive Spatial Maps in R Using Leaflet Create an interactive leaflet map using R and rmarkdown. Customize an interactive map with data-driven popups. You will need a computer with internet access to complete this lesson. Static maps are useful for creating figures for reports and presentation.

**How to take input from the user in R?**

When we are working with R in an interactive session, we can use readline() function to take input from the user (terminal). This function will return a single element character vector.

## What’s the best way to enter data in R?

I’ve created some R code for use by people who know nothing of R (though I’m pretty green myself). I’ve been having people paste in the initial data to the R console (with mixed results), and I was hoping to set up a more user friendly way for people to enter in data.

**Which is the best tool for interactive charts in R?**

Interactive maps with leaflet. Build a stunning interactive map in minute thanks to the leaflet package. It allows to build any type of maps: background, bubble, choropleth , hexbin and more. The rgl package is the best tool to work in 3D from R. Here is an illustration: a 3d scatterplot showing the relationship between 3 numerical variables.