Programming Articles - Page 1126 of 3363

To create grouped line chart using ggplotly in R, we can follow the below steps −First of all, create a data frame.Then, create the line chart using ggplot2.After that, convert the ggplot2 chart into ggplotly chartCreate the data frameLet’s create a data frame as shown below − Live Demox

To convert numeric levels of a factor into string in R data frame, we can follow the below steps −First of all, consider an in-built data set or create new one.Then, use mutate function with ifelse to create string column based numeric column representing a factor.Consider an-inbuilt data setLet’s have a look at mtcars data set in base R − Live Demodata(mtcars) head(mtcars, 25)On executing, the above script generates the below output(this output will vary on your system due to randomization) −Output                      mpg cyl disp hp drat wt qsec vs am ... Read More

To define the number of breaks in base R histogram, we can use breaks argument along with hist function.Create the histogram with small number of breaksUse a vector with normal distribution and the histogram of the same vector with ten breaks − Live Demox

To check the data frame structure without using str function in R, we can follow the below steps −First of all, load the data or create new data or use an in-built data set.Then, use glimpse function of tibble package.Example 1Use in-built data setConsider the mtcars data set, load the tibble package and use glimpse function to look at the structure of mtcars data −library(tibble) glimpse(mtcars)OutputRows: 32 Columns: 11 $ mpg   21.0, 21.0, 22.8, 21.4, 18.7, 18.1, 14.3, 24.4, 22.8, 19.2, 17.8, ~ $ cyl   6, 6, 4, 6, 8, 6, 8, 4, 4, 6, 6, 8, 8, ... Read More

To convert ggplot2 graph into a plotly graph in R, we can follow the below steps −First of all, create a data frame.Then, create a ggplot2 graph and save it in an object.After that, load plotly package and create the ggplot2 graph using ggplotly function.Create the data frameLet's create a data frame as shown below − Live Demox

To display NA group values in scatterplot created with ggplot2 using color brewer in R, we can follow the below steps −First of all, create a data frame.Then, create the scatterplot with default colors.After that, use scale_color_brewer function to create the scatterplot with color of points (including NA) based on color palette given in scale_color_brewer.Create the data frameLet's create a data frame as shown below − Live Demox

To create scatterplot using ggplot2 without grey background in R, we can follow the below steps −First of all, create a data frame.Then, create the scatterplot using geom_point function of ggplot2 package.After that, add theme_minimal() function to the ggplot function.Create the data frameLet's create a data frame as shown below − Live Demox

To display NA frequency for a ggplot2 graph using color brewer in R, we can follow the below steps −First of all, create a data frame.Then, create the chart with default colors.After that, use scale_colour_brewer function to create the bar chart and set the color of NA values bar with na.value.Create the data frameLet's create a data frame as shown below − Live DemoGroup

To create the bar chart with ggplot2 using color brewer in R, we can follow the below steps −First of all, create a data frame.Then, create the chart with default colors.After that, use scale_colour_brewer function to create the bar chart.Create the data frameLet's create a data frame as shown below − Live DemoGroup

To change the color of points for ggplot2 scatterplot using color brewer in R, we can follow the below steps −First of all, create a data frame.Then, create the point chart with default colors.After that, use scale_colour_brewer function to create the point chart.Create the data frameLet's create a data frame as shown below − Live Demox