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The util.inspect() method returns the string representation of the objects that are intended for the debugging process.Syntaxutil.inspect(object, [showHidden], [depth], [colors])ParametersThe parameters are defined as below:object − A JavaScript primitive type or an object is given as input.optionsshowHidden − This is set as false by default. If true, this option includes the non-enumerable symbols and properties that are included in the formatted result. WeakMap and WeakSet are also included.depth − It specifies the number of recursions to be applied while formatting objects.colors − The output is set styled with ANSI color codes if this value is set to true. Colors passed are customizable.customInspect − The ... Read More
The timer module in Node.js consists of different functions that can control and alter the timings of code execution. In this article, we will see how to use some of these functions.setTimeout() MethodThe setTimeout() method schedules the code execution after a designated amount of milliseconds. Only after the timeout has occurred, the code will be executed. The specified function will be executed only once. This method returns an ID that can be used in clearTimeout() method.SyntaxsetTimeout(function, delay, [args])ParametersThe parameters are defined below:function − This parameter takes input for the function that will be executed.delay − This is the time duration after which ... Read More
The util.types.isInt32Array() method checks whether the passed value is a built-in Int32Array instance or not. If the above condition is satisfied, it returns True, else False.Syntaxutil.types.isInt32Array(value)Parametersvalue − This input takes input for the required parameter and checks if it's an Int32Array instance or not. Returns True or False based upon the input value passed.Example 1Create a file with name isInt32Array.js and copy the below code snippet.After creating the file, use the following command to run this code and check the output -node isInt32Array.jsProgram Code// util.types.isInt32Array() Demo Example // Importing the util module const util = require('util'); // Passing normal ... Read More
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
To create plotly bar chart with negative values in R, we can follow the below steps −First of all, create a data frame.Then, create the bar chart using plotly with horizontal orientation.Create the data frameLet's create a data frame as shown below − Live DemoGroup
To subset an R data frame with condition based on only one value from categorical column, we can follow the below steps −First of all, create a data frame.Then, subset the data frame with condition using filter function of dplyr package.Create the data frameLet's create a data frame as shown below − Live DemoClass
To create groupwise correlation matrix for an R data frame, we can follow the below steps −First of all, create a data frame.Then, find the correlation matrix by splitting the data frame based on categorical column.Create the data frameLet's create a data frame as shown below − Live Demov1