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We are given with a string ‘str’ of any given length. The task is to rearrange the characters in such a manner that there will be maximum substrings that will be a palindrome string without adding or removing a character from the given input string. Palindrome string is the one in which the characters are arranged in such a manner that they pronounce the same from start and last.Let us see various input output scenarios for this −Input − string str = "itnin"Output − Rearrangement of the string to maximize the number of palindromic substrings is: iinnt.Explanation − We are given a string ... Read More
We are given an integer type number, let's say, number. The task is to rearrange number digit’s in such a manner that a number formed after rearrangement is also divisible by the given number i.e. ’number’.Let us see various input output scenarios for this −Input − int number = 100035Output − Rearrangement of a number which is also divisible by it is: 300105Explanation − we are given an integer number as ‘number’ i.e. 100035. Now, the task is to rearrange these given digits in such a manner that the formed number will be divisible by 100035. So, after rearranging the digits we got ... Read More
We are given with a string ‘str’ of any given length. The task is to rearrange the characters in such a manner that the output will be a palindrome string without adding or removing a character from the given input string. Palindrome string is the one in which the characters are arranged in such a manner that they pronounce the same from start and last.Let us see various input output scenarios for this −Input − string str = "itnin"Output − Rearrangement of characters to form palindrome if possible is: nitinExplanation − We are given a string type variable let’s say, str. Now we ... Read More
To display X-axis tick marks as minimum and maximum only without their values using plotly, we can use layout function of plot_ly package where we can pass the values for minimum and maximum using xaxis argument and the text using ticktext argument as shown in the below example.ExampleFollowing snippet creates a sample data frame −x
We are given an integer type array containing both positive and negative numbers, let's say, arr[] of any given size. The task is to rearrange an array in such a manner that when the lowest element in an array is odd then elements of an array will be rearranged in odd first and even second manner. When the lowest element in an array is even then elements of an array will be rearranged in even first and odd second manner and if the number of even/odd elements is more than the number of odd/even elements then it will place the ... Read More
If we have a string vector that contains more than one element then there might exists some common values in all the elements. If we want to find those values then intersect function can be used along strsplit function and Reduce function.Check out the below Examples to understand how it can be done.Example 1>x1=c("Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data, and apply knowledge and actionable insights from data across a broad range of application domains.", "Data science is the domain of study that ... Read More
To find the sum of values based on two groups if missing values are present, we can use group_by and summarise function of dplyr package.For example, if we have a data frame called df that contains a numerical column say Num and two grouping columns say Grp1 and Grp2 then, the sum of values in Num based on Grp1 and Grp2 if missing values are present in df can be found by using the below mentioned command −df%>%group_by(Grp1, Grp2)%>%summarise(Sum=sum(Num, na.rm=TRUE))Example 1Following snippet creates a sample data frame −grp1Read More
We are given integer variables, let's say, N and K. The task is to firstly calculate the permutation of N and then rearrange the permutation in such a manner that it will be K distance from every element.Let us see various input output scenarios for this −Input − int n = 20, int k = 2Output − Rearrangement of first N numbers to make them at K distance is: 3 4 1 2 7 8 5 6 11 12 9 10 15 16 13 14 19 20 17 18.Explanation − we are given integer variables ‘N’ i.e. 20 and ‘K’ i.e. 2. Now ... Read More
The error “Calling var(x) on a factor x is defunct” occurs when we try to apply a numerical function on factor data.For example, if we have a factor column in a data frame then applying numerical functions on that column would result in the above error. To deal with this problem, we can use as.numeric function along with the numerical function as shown in the below examples.Example 1Following snippet creates a sample data frame −x
Trimmed mean is the mean that find the mean of values by excluding a small percentage of smallest and largest values. If we have a 5% trimmed mean that means 2.5% of smallest values and 2.5% of largest values are trimmed from the data and then the mean of the remaining data is calculated.In R, we can simply use trim argument inside mean function to find the trimmed mean. Check out the below Examples to understand how it can be done.Example 1Following snippet creates a sample data frame −x