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Technical articles with clear explanations and examples

Software Inspection Guiding Principles

Vineet Nanda
Vineet Nanda
Updated on 06-Mar-2021 547 Views

Testing Shows the Presence of DefectsEach application must pass through a search of testing phases such as system integration testing, user acceptance testing and beta testing, etc. before they are released into production. Some form of defects will always be found, Regardless of how much testing one conducts.The core purpose of the testing team should focus on finding the defects in an application. The inspection team must use different methods to discover as many errors as they can. It helps in reducing the number of undiscovered errors in a software application. Even though the testing team fails to find any ...

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How to create a histogram without bins in base R?

Nizamuddin Siddiqui
Nizamuddin Siddiqui
Updated on 06-Mar-2021 483 Views

We can set type argument to s in plot function to create a histogram without bins but first we need to create the histogram and store it in an object. For example, if we have a vector say x then the histogram of x can be stored in an object called p then we can use the command plot(c(p$counts,0),type="s") to create the histogram without bins as shown in the below example.Example> x p plot(c(p$counts,0),type="s")Output

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How to create bar plot in base R with different limits for Y-axis?

Nizamuddin Siddiqui
Nizamuddin Siddiqui
Updated on 05-Mar-2021 2K+ Views

To create a bar plot in base R with different limits for Y-axis, we can use ylim argument but generally that behaves badly, such as extending the bars below X-axis. Therefore, we need to fix those things. Check out the below example to understand how it can be done.Example> x barplot(x)OutputExample> barplot(x,ylim=c(300,600))OutputExample> barplot(x,ylim=c(300,600),xpd=FALSE)OutputExample> box(bty="l") Output

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How to extract the row for groupwise maximum in another column of an R data.table object?

Nizamuddin Siddiqui
Nizamuddin Siddiqui
Updated on 05-Mar-2021 569 Views

To extract the row for groupwise maximum in another column of an R data.table object, can make use of which.max function by defining the grouping column. It means that if we have a categorical/grouping column and a numerical column then we groupwise maximum will be the maximum for each grouping level in the numerical column and we can extract the row based on these two columns. Check out the examples to understand how it works.Example1Loading data.table package and creating a data.table object −> library(data.table) > x1 x2 x3 DT1 DT1Output   x1 x2 x31:  B  3  2 2:  C  6  0 ...

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How to display raise to the power on X-axis in base R plot?

Nizamuddin Siddiqui
Nizamuddin Siddiqui
Updated on 05-Mar-2021 544 Views

To display anything different than the vector or column names on the axes, we need to use xlab for X-axis and ylab for Y-axis. Therefore, if we want to display raise to the power on X-axis then xlab argument will be along with the plot function. For example, if we have a vector called x and we want to create a point chart for x -square with X-axis showing x^2 then it can be done as plot(x^2,xlab="x^2").Example> x y plot(x,y)OutputExample> plot(x/1000,y,xlab="x/10^3")Output

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How to remove rows in a data.table object with NA's in R?

Nizamuddin Siddiqui
Nizamuddin Siddiqui
Updated on 04-Mar-2021 2K+ Views

If a row contains missing values then their sum will not finite, therefore, we can use is.finite function with the data.table object to remove the rows with NA’s. For example, if we have a data.table object called DT that contains some rows with NA’s then the removal of those rows can be done by using DT[is.finite(rowSums(DT))].Example1Loading data.table package and creating a data.table object −> library(data.table) > x1 x2 DT1 DT1Output   x1  x2 1:  1   2 2:  NA  4 3:  1   2 4:  NA  5 5:  1   6 6:  1   8 7:  NA  3 8:  1   ...

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How to create a histogram with dots instead of bars in base R?

Nizamuddin Siddiqui
Nizamuddin Siddiqui
Updated on 04-Mar-2021 841 Views

To create a histogram with dots instead of bars, we can use the plot function in base R. The x values will be based on the sorting of the vector values and the y values will be based on the sequence of the table for the vector values. Therefore, we would be needing sorting and table with sequence. Check out the below examples to understand how it can be done.Example1> x1 plot(sort(x1),sequence(table(x1)))OutputExample2> x2 plot(sort(x2),sequence(table(x2)))Output

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How to highlight a bar in base R histogram?

Nizamuddin Siddiqui
Nizamuddin Siddiqui
Updated on 04-Mar-2021 691 Views

To highlight a bar in base R histogram, we need to understand the X-axis values and pass the col argument inside hist function appropriately. We just need to put a separate value for the bar that we want to highlight and set the colouring of the rest of the bars to 0 (that is default in base R). Check out the below examples to understand how it works.Example1> x hist(x,col = c(rep(0,5),4,rep(0,5)))OutputExample2> y hist(y,col = c(rep(0,3),4,rep(0,9)))Output

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How to display upper and lower quartiles through different line in a boxplot in R?

Nizamuddin Siddiqui
Nizamuddin Siddiqui
Updated on 04-Mar-2021 275 Views

To display the upper and lower quartiles through different line in base R boxplot, we can use abline function but we need to find the quartiles inside abline using quantile for the respective quartiles. The lines created by using abline and quantiles and the boxplot function may not coincide because of the differences in calculation. The calculation method for boxplot is explained below −The two ‘hinges’ are versions of the first and third quartile. The hinges equal the quartiles for odd n (where n x boxplot(x)OutputExample> abline(h=quantile(x,c(0.25,0.75)),col="blue")Output

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Differences between MySQL standard and MySQL Enterprise Servers

AmitDiwan
AmitDiwan
Updated on 02-Mar-2021 2K+ Views

MySQL Enterprise EditionMySQL Enterprise Edition comes with advanced features, management tools, and technical support that helps users achieve the highest levels of MySQL scalability, security, reliability, and uptime. It reduces the risk, complication, and cost associated with development, deployment, and management of business-critical MySQL applications.MySQL Database Service is a fully managed database service that helps deploy cloud-native applications using the MySQL, which is considered as the world’s most popular open source database. It is completely developed, managed and supported by the MySQL Team.MySQL Standard EditionMySQL standard edition ensures that user delivers high-performance and provides scalability on OLTP applications (Online Transaction ...

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