Articles on Trending Technologies

Technical articles with clear explanations and examples

Matching Nonprintable Characters using Java regex

Maruthi Krishna
Maruthi Krishna
Updated on 11-Mar-2026 1K+ Views

There are 7 common non printable characters used in general and each character has its own hexadecimal representation.NamecharactersHexa-decimal representationbell\a0x07Escape\e0x1BForm feed\f0x0CLine feed0x0ACarriage return\r0X0DHorizontal tab\t0X09Vertical tab\v0X0BExample 1import java.util.Scanner; import java.util.regex.Matcher; import java.util.regex.Pattern; public class RegexExample1 {    public static void main(String[] args) {       Scanner sc = new Scanner(System.in);       System.out.println("Enter input text: ");       String input = sc.nextLine();       String regex = "\x09";       //Creating a pattern object       Pattern pattern = Pattern.compile(regex);       //Matching the compiled pattern in the String       Matcher matcher = ...

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How to deal with the error “Error in int_abline---plot.new has not been called yet” in R?

Nizamuddin Siddiqui
Nizamuddin Siddiqui
Updated on 11-Mar-2026 5K+ Views

The above error means plot is not being created yet hence abline function cannot be used to draw anything on the plot. Therefore, a plot needs to be created first to use abline function for creating a line or any other thing. Mostly, abline is used to create regression line on the plot, thus we need to create a scatterplot first before using abline.Exampleabline(lm(y~x))Output

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How to create correlation matrix plot in R?

Nizamuddin Siddiqui
Nizamuddin Siddiqui
Updated on 11-Mar-2026 434 Views

To create a correlation matrix plot, we can use ggpairs function of GGally package. For example, if we have a data frame called df that contains five columns then the correlation matrix plot can be created as ggpairs(df). A correlation matrix plot using ggpairs display correlation value as well as scatterplot and the distribution of variable on diagonal.Examplelibrary(GGally) ggpairs(df)Output

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Program to check whether one value is present in BST or not in Python

Arnab Chakraborty
Arnab Chakraborty
Updated on 11-Mar-2026 1K+ Views

Suppose we have a binary search tree and another input called val, we have to check whether val is present in the tree or not.So, if the input is likeval = 7, then the output will be True, as 7 is present in the tree.To solve this, we will follow these steps−Define a function solve() . This will take root, valif root is null, thenreturn Falseif data of root is same as val, thenreturn Trueif data of root < val, thenreturn solve(left of root, val)return solve(right of root, val)Let us see the following implementation to get better understanding−class TreeNode:   ...

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How to find the mean of columns of an R data frame or a matrix?

Nizamuddin Siddiqui
Nizamuddin Siddiqui
Updated on 11-Mar-2026 2K+ Views

If all the columns in an R data frame are numeric then it makes sense to find the mean for each of the columns. This calculation will help us to view how different the values of means are for each of the columns but to make sure that they are significantly different, we will need to run a hypothesis test. To find the column means of a data frame or a matrix we can use colMeans function.ExampleConsider the below data frame −set.seed(9) x1

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How to create a boxplot using ggplot2 for single variable without X-axis labels in R?

Nizamuddin Siddiqui
Nizamuddin Siddiqui
Updated on 11-Mar-2026 5K+ Views

The important part of a boxplot is Y−axis because it helps to understand the variability in the data and hence, we can remove X−axis labels if we know the data description. To create a boxplot using ggplot2 for single variable without X−axis labels, we can use theme function and set the X−axis labels to blank as shown in the below example.Exampleggplot(df,aes(x=factor(0),y))+geom_boxplot()+theme(axis.title.x=element_blank(),axis.text.x=element_blank(),axis.ticks.x=element_blank())Output

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How to perform shapiro test for all columns in an R data frame?

Nizamuddin Siddiqui
Nizamuddin Siddiqui
Updated on 11-Mar-2026 5K+ Views

The shapiro test is used to test for the normality of variables and the null hypothesis for this test is the variable is normally distributed. If we have numerical columns in an R data frame then we might to check the normality of all the variables. This can be done with the help of apply function and shapiro.test as shown in the below example.Exampleapply(df, 2, shapiro.test)Output$x1 Shapiro-Wilk normality test data: newX[, i] W = 0.94053, p-value = 0.2453 $x2 Shapiro-Wilk normality test data: newX[, i] W = 0.95223, p-value = 0.4022 $x3 Shapiro-Wilk normality test data: newX[, i] W = ...

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How to change the color of points in a scatterplot using ggplot2 in R?

Nizamuddin Siddiqui
Nizamuddin Siddiqui
Updated on 11-Mar-2026 20K+ Views

To color the points in a scatterplot using ggplot2, we can use colour argument inside geom_point with aes. The color can be passed in multiple ways, one such way is to name the particular color and the other way is to giving a range or using a variable. If range or a variable will be used then the color of the points will be in different shades.Exampleggplot(df,aes(x,y))+geom_point(aes(colour=x))Output

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How to increase the width of the median line in boxplot using ggplot2 in R?

Nizamuddin Siddiqui
Nizamuddin Siddiqui
Updated on 11-Mar-2026 1K+ Views

The default width of the median line is wider than the rest of the lines that represent minimum, first quartile, third quartile or maximum but we can make it a little wider to make it more appealing. This can be done with the help of fatten argument inside geom_boxplot function, the default value of fatten is 2.Exampleggplot(df,aes(x,y))+geom_boxplot(fatten=6)Output

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HTML DOM Input Month readOnly Property

karthikeya Boyini
karthikeya Boyini
Updated on 11-Mar-2026 167 Views

The HTML DOM input month readOnly property returns and modify whether the input month field is read-only or not in an HTML document.SyntaxFollowing is the syntax −1. Returning readOnlyobject.readOnly2. Modifying readOnlyobject.readOnly = true | falseExample    html{       height:100%;    }    body{       text-align:center;       color:#fff;       background: linear-gradient(62deg, #FBAB7E 0%, #F7CE68 100%)       center/cover no-repeat;       height:100%;    }    p{       font-weight:700;       font-size:1.1rem;    }    input{       display:block;       width:35%;     ...

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