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The Flexjson is a lightweight library for serializing and deserializing Java objects into and from JSON format. A JSONSerializer is the main class for performing serialization of Java objects to JSON. We can serialize a JSON string to an Output Handler using the WriterOutputHandler class and it implements the OutputHandler interface.Syntaxpublic class WriterOutputHandler extends Object implements OutputHandlerExampleimport java.io.*; import flexjson.JSONSerializer; import flexjson.OutputHandler; import flexjson.WriterOutputHandler; public class JsonOutputHandlerTest { public static void main(String[] args) { JSONSerializer serializer = new JSONSerializer().prettyPrint(true); // pretty print JSON Employee emp = new Employee("Raja", "Ramesh", 28, "Hyderabad"); OutputHandler out = new WriterOutputHandler(new ... Read More
The JSON is one of the widely used data-interchange formats and is a lightweight and language independent. We can convert a JSONObject to cookie using the toString() method and convert a cookie to JSONObject using the toJSONObject() method of org.json.Cookie class.Convert JSONObject to cookieSyntaxpublic static java.lang.String toString(JSONObject jo) throws JSONExceptionExampleimport org.json.Cookie; import org.json.JSONObject; public class JSONObjectToCookieTest { public static void main(String args[]) { JSONObject jsonObject = new JSONObject(); jsonObject.put("path", "/"); jsonObject.put("expires", "Thu, 07 May 2020 12:00:00 UTC"); jsonObject.put("name", "username"); jsonObject.put("value", "Adithya"); String cookie = Cookie.toString(jsonObject); ... Read More
A JSONObject is an unordered collection of name/value pairs and parses text from a String to produce a map-like object. However, we can auto-increment the property of a JSONObject using the increment() method of JSONObject class. If there is no such property, create one with a value of 1. If there is such a property and if it is an Integer, Long, Double or Float then add one to it.Syntaxpublic JSONObject increment(java.lang.String key) throws JSONExceptionExampleimport org.json.JSONException; import org.json.JSONObject; public class IncrementJSONObjectTest { public static void main(String[] args) throws JSONException { JSONObject jsonObj = new JSONObject(); jsonObj.put("year", 2019); ... Read More
Concatenation can be done by using paste function in R.Example> paste("I", "Love", "R", sep=" ") [1] "I Love R"If we want to specify characters between words then it can be done by using collapse argument as follows −> x x [1] "I" "Love" "R" > paste(x, collapse="-") [1] "I-Love-R"
Just like mean and median there is no in-built function in R to find the mode.We can make use of the following user created function for this purpose> Modes
We can do this by using table function with as.data.frameExample> X as.data.frame(table(X)) X Freq 1 21 2 2 23 3 3 24 1 4 25 5 5 34 2 6 47 2 7 64 1 8 69 5 9 70 1
We can colnames function to change the column names and rownames function to change the row names.Example> df df ID Salry 1 1 10000 2 2 30000 3 3 22000 4 4 27000 5 5 18000 > colnames(df) df EmployeeID Salary 1 1 10000 2 2 30000 3 3 22000 4 4 27000 5 5 18000 > rownames(df)
We can do this by using sessionInfo().> sessionInfo() R version 3.6.1 (2019-07-05) Platform: x86_64-w64-mingw32/x64 (64-bit) Running under: Windows 10 x64 (build 18363) Matrix products: default Random number generation: RNG: Mersenne-Twister Normal: Inversion Sample: Rounding locale: [1] LC_COLLATE=English_India.1252 LC_CTYPE=English_India.1252 [3] LC_MONETARY=English_India.1252 LC_NUMERIC=C [5] LC_TIME=English_India.1252 attached base packages: [1] stats graphics grDevices utils datasets methods base other attached packages: [1] ggplot2_3.2.1 loaded via a namespace (and not attached): [1] Rcpp_1.0.2 withr_2.1.2 crayon_1.3.4 dplyr_0.8.3 [5] assertthat_0.2.1 grid_3.6.1 R6_2.4.0 gtable_0.3.0 [9] magrittr_1.5 scales_1.0.0 pillar_1.4.2 rlang_0.4.0 [13] lazyeval_0.2.2 glue_1.3.1 purrr_0.3.2 munsell_0.5.0 [17] compiler_3.6.1 pkgconfig_2.0.2 colorspace_1.4-1 tidyselect_0.2.5 [21] tibble_2.1.3So here we have base packages and ggplot2 ... Read More
We can create an empty data frame as follows −> df str(df) 'data.frame': 0 obs. of 5 variables: $ Income : num $ Age : int $ EducationLevel: Factor w/ 0 levels: $ MaritalStatus : logi $ StateLiving : chrWe can edit this data frame by using −> edit(df)This edit command will open a spreadsheet and we can enter the data in the data frame.
Consider the below list −> List df df X1 X2 X3 X4 X5 X6 X7 X8 X9 X10 1 x c t g d l j y i q 2 s k u j i w x o p n 3 h p e c y m o d z s 4 c f e d n w v b k h 5 u y g j i m l x k s 6 q k f v y b c i x z 7 x i v m f j h t g b 8 c z ... Read More