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LinkedIn skill assessment answers and questions — R (प्रोग्रामिंग भाषा)

आर has established itself as a leading programming language in the realm of data analysis and statistical computing, renowned for its powerful capabilities and extensive library of packages. इस व्यापक मार्गदर्शिका में, we’re delighted to present a curated collection of skill assessment questions तथा जवाब के लिये आर.

Whether you’re a data scientist looking to enhance your analytical skills or a beginner eager to delve into the world of data science, this resource is tailored to help you become proficient in आर और इसके अनुप्रयोग. Join us as we explore the core concepts of R programming, including data manipulation, VISUALIZATION, statistical modelling, और अधिक, empowering you to unlock the full potential of this versatile language.

Q1. How does a matrix differ from a data frame?

  • A matrix may contain numeric values only.
  • A matrix must not be singular.
  • A data frame may contain variables that have different modes.
  • A data frame may contain variables of different lengths.

Q2. What value does this statement return?

unclass(as.Date("1971-01-01"))

  • 1
  • 365
  • 4
  • 12

Q3. What do you use to take an object such as a data frame out of the workspace?

  • remove()
  • erase()
  • detach()
  • • ओएस इंस्टाल करने के विभिन्न तरीके()

Q4. Review the following code. What is the result of line 3?

xvect<-c(1,2,3)
xvect[2] <- "2"
xvect
  • [1] 1 2 3
  • [1] “1” 2 “3”
  • [1] “1” “2” “3”
  • [1] 7 9

Q5. The variable height is a numeric vector in the code below. Which statement returns the value 35?

  • height(length(height))
  • height[length(height)]
  • height[length[height]]
  • height(5)

Q6. नीचे दी गई छवि में, the data frame is named rates. बयान sd(rates[, 2]) returns 39. As what does R regard Ellen’s product ratings?

छवि

  • sample with replacement
  • आबादी
  • trimmed sample
  • नमूना <– not sure

क्यू 7. Which choice does R regard as an acceptable name for a variable?

  • Var_A!
  • \_VarA
  • .2Var_A
  • Var2_A

क्यू 8. What is the principal difference between an array and a matrix?

  • A matrix has two dimensions, while an array can have three or more dimensions.
  • An array is a subtype of the data frame, while a matrix is a separate type entirely.
  • A matrix can have columns of different lengths, but an array’s columns must all be the same length.
  • A matrix may contain numeric values only, while an array can mix different types of values.

प्रश्न 9. Which is not a property of lists and vectors?

  • प्रकार
  • लंबाई
  • attributes
  • अदिश

प्र10. नीचे दी गई छवि में, the data frame on lines 1 के माध्यम से 4 is named StDf. State and Capital are both factors. Which statement returns the results shown on lines 6 तथा 7?

छवि

  • StDf[1:2,-3]
  • StDf[1:2,1]
  • StDf[1:2,]
  • StDf[1,2,]

प्रश्न 11. Which function displays the first five rows of the data frame named pizza?

  • BOF(pizza, 5)
  • पहला(pizza, 5)
  • सर्वश्रेष्ठ कॉलेज(pizza, 5)
  • सिर(pizza, 5)

प्र12. You accidentally display a large data frame on the R console, losing all the statements you entered during the current session. What is the best way to get the prior 25 statements back?

  • console(-25)
  • console(reverse=TRUE)
  • इतिहास()
  • इतिहास(max.show = 25)

प्रश्न 13. d.pizza is a data frame. It’s a column named temperature contains only numbers. If you extract temperature using the [] accessors, its class defaults to numeric. How can you access temperature so that it retains the class of data.frame?

> class( d.pizza[ , "temperature" ] )
> "numeric"
  • class( d.pizza( , "temperature" ) )
  • class( d.pizza[ , "temperature" ] )
  • class( d.pizza$temperature )
  • class( d.pizza[ , "temperature", drop=F ] )

प्र14. What does c contain?

a <- c(3,3,6.5,8)
b <- c(7,2,5.5,10)
c <- a < b
  • [1] NaN
  • [1] -4
  • [1] 4 -1 -1 2
  • [1] TRUE FALSE FALSE TRUE

प्रश्न 15. Review the statements below. Does the use of the dim function change the class of y, and if so what is y’s new class?

> y <- 1:9
> dim(y) <- c(3,3)
  • नहीं, y’s new class isarray”.
  • हां, y’s new class is “आव्यूह”.
  • नहीं, y’s new class isvector”.
  • हां, y’s new class isinteger”.

प्र16. क्या है mydf$y in this code?

mydf <- data.frame(x=1:3, y=c("a","b","c"), stringAsFactors=FALSE)

  • सूची
  • string
  • factor
  • character vector

प्रश्न 17. How does a vector differ from a list?

  • Vectors are used only for numeric data, while lists are useful for both numeric and string data.
  • Vectors and lists are the same thing and can be used interchangeably.
  • A vector contains items of a single data type, while a list can contain items of different data types.
  • Vectors are like arrays, while lists are like data frames.

प्रश्न 18. What statement shows the objects on your workspace?

  • list.objects()
  • print.objects()
  • getws()
  • ls()

क्यू19. What function joins two or more column vectors to form a data frame?

  • rbind()
  • cbind()
  • bind()
  • coerce()

प्र20. Review line 1 नीचे. What does the statement in line 2 वापस करना?

1 mylist <- list(1,2,"C",4,5)
2 unlist(mylist)
  • [1] 1 2 4 5
  • “सी”
  • [1] “1” “2” “सी” “4” “5”
  • [1] 1 2 सी 4 5

प्र21. What is the value of y in this code?

x <- NA
y <- x/1
  • Inf
  • Null
  • NaN
  • वह

प्र22. Two variable in the mydata data frame are named Var1 and Var2. How do you tell a bivariate function, such as cor.test, which two variables you want to analyze?

  • cor.test(Var1 ~ Var2)
  • cor.test(mydata$(Var1,Var2))
  • cor.test(mydata$Var1,mydata$Var2)
  • cor.test(Var1,Var2, mydata)

प्र23. A data frame named d.pizza is part of the DescTools package. A statement is missing from the following R code and an error is therefore likely to occur. Which statement is missing?

library(DescTools)
deliver <- aggregate(count,by=list(area,driver), FUN=mean)
print(deliver)
  • attach(d.pizza)
  • summarize(deliver)
  • mean <- rbind(d.pizza,count)
  • deliver[!complete.cases(deliver),]

प्र24. How to name rows and columns in DataFrames and Matrices F in R?

  • data frame: names() and rownames() आव्यूह: colnames() and row.names()
  • data frame: names() and row.names() आव्यूह: dimnames() (not sure)
  • data frame: colnames() and row.names() आव्यूह: names() and rownames()
  • data frame: colnames() and rownames() आव्यूह: names() and row.names()

प्रश्न25. Which set of two statements-followed by the cbind() function-results in a data frame named vbound?

  • ­
v1<-list(1,2,3)
v2<-list(c(4,5,6))
vbound<-cbind(v1,v2)
  • ­
v1<-c(1,2,3)
v2<-list(4,5,6))
vbound<-cbind(v1,v2)
  • ­
v1<-c(1,2,3)
v2<-c(4,5,6))
vbound<-cbind(v1,v2)
  • ­ none

प्र26. ournames is a character vector. What values does the statement below return to Cpeople?

Cpeople <- ournames %in% grep("^C", ournames, value=TRUE)

  • records where the first character is a C
  • any record with a value containing a C
  • TRUE or FALSE, depending on whether any character in ournames is C
  • TRUE and FALSE values, depending on whether the first character in an ournames record is C

प्र27. What is the value of names(वी[4])?

v <- 1:3
names(v) <- c("a", "b", "c")
v[4] <- 4
  • “”
  • डी
  • NULL
  • वह

प्रश्न 28. Which of the following statements doesn’t yield the code output below. Review the following code. What is the result of line 3?

x <- c(1, 2, 3, 4)
Output: [1] 2 3 4
  • एक्स[कीबोर्ड संशोधक चाबियों का एक समूह है जिसका उपयोग अन्य कुंजियों के व्यवहार को बदलने के लिए किया जा सकता है(2, 3, 4)]
  • एक्स[-1]
  • एक्स[कीबोर्ड संशोधक चाबियों का एक समूह है जिसका उपयोग अन्य कुंजियों के व्यवहार को बदलने के लिए किया जा सकता है(-1, 0, 0, 0)]
  • एक्स[कीबोर्ड संशोधक चाबियों का एक समूह है जिसका उपयोग अन्य कुंजियों के व्यवहार को बदलने के लिए किया जा सकता है(-1, 2, 3, 4)]

प्र29. Given DFMerged <- merge(DF1, DF2) and the image below, how many rows are in DFMerged?

छवि

  • 6
  • 9
  • 3
  • 0

क्यू30. What does R return in response to the final statement?

x<-5:8
names(x)<-letters[5:8]
x
  • e f g h “5” “6” “7” “8”
  • 5 6 7 8
  • e f g h
  • e f g h 5 6 7 8

प्रश्न31. How do you return “अक्टूबर” from x in this code?

x<-as.Date("2018-10-01")
  • attr()
  • महीने(एक्स)
  • as.month(एक्स)
  • महीना(एक्स)

प्र32. How will R respond to the last line of this code?

fact<-factor(c("Rep","Dem","Dem","Rep"))
fact
[1] Rep Dem Dem Rep
Levels: Rep Dem
fact[2]<-"Ind"
  • >
  • [,2]हम स्टैनफोर्ड विश्वविद्यालय में प्रोफेसर शांहुई फैन के नेतृत्व में एक टीम द्वारा विकसित शीतलन प्रणाली पर नजर रख रहे हैं जो एक इमारत और बीम से थर्मल गर्मी खींचती है
  • invalid factor level, NA generated
  • हम स्टैनफोर्ड विश्वविद्यालय में प्रोफेसर शांहुई फैन के नेतृत्व में एक टीम द्वारा विकसित शीतलन प्रणाली पर नजर रख रहे हैं जो एक इमारत और बीम से थर्मल गर्मी खींचती है

प्रश्न 33. What does R return?

StartDate<- as.Date("2020/2/28")
StopDate<- as.Date("2020/3/1")
StopDate-StartDate
  • “1970-01-02”
  • time difference of one day
  • time difference of two days
  • error in x-y: nonnumeric argument to binary operator

प्रश्न34. What does the expression mtrx * mtrx करना ?

> mtrx <- matrix( c(3,5,8,4), nrow= 2,ncol=2,byrow=TRUE)
> newmat <- mtrx * mtrx
  • it transpose mtrx
  • it premultiplies the current netwmat row by the newmat column.
  • it returns the results of a matrix multiplication
  • It squares each cell in mtrx
> newmat
     [,1] [,2]
[1,]    9   25
[2,]   64   16

# The `%*%` operator gives matrix multiplication
> mtrx %*% mtrx
     [,1] [,2]
[1,]   49   35
[2,]   56   56

क्यू35. Which function in R combines different values into a single object?

  • connect()
  • concat()
  • संपर्क Ajay करें()
  • कीबोर्ड संशोधक चाबियों का एक समूह है जिसका उपयोग अन्य कुंजियों के व्यवहार को बदलने के लिए किया जा सकता है()

प्र36. Which file contains settings that R uses for all users of a given installation of R?

  • Rdefaults.site
  • Renviron.site
  • Rprofile.site
  • Rstatus.site

प्रश्न37. अगर mdf is a data frame, which statement is true ?

  • ncol(mdf) equals लंबाई(mdf).
  • The number of rows must equals the number of columns.
  • The legnth of any column in mdf may differ from any other column in mdf
  • All columns must have the same data type.

प्रश्न 38. A list can contain a list as an element. MyList has five columns, and the third column’s item is a list of three items. How do you put all seven values in MyList into a single vector?

  • vector(MyList, length = 7)
  • coerce(MyList, nrows = 1)
  • unlist(MyList)
  • coerce(MyList, nrows = 7)

प्र39. Which strings could be returned by the function ls(path =^V”)?

  • ANOVAData, anovadata
  • VisitPCA, VarX
  • VisitPCA, varx
  • Xvar, Yvar

क्यू40. StDf is a data frame. Based on this knowledge, what does this statement return?

StDf[, -1]
  • all but the first row and first column of StDf
  • all but the final column of StDf
  • all but the first column of StDf
  • only the first column of StDf

प्र41. Which statement enables you to interactively open a single file?

  • file.list()
  • file.select()
  • file.choose()
  • file.open()

प्र42. How are these data types alike: तार्किक, integer, numeric, और चरित्र?

  • Each is a type of data frame.
  • Each is a type of atomic vector.
  • Each is a type of complex vector.
  • Each is a type of raw vector.

प्रश्न 43. क्या करता है MyMat[ ,3] subsetting operation return for this code?

MyMat = matrix(c(7, 9, 8, 6, 10, 12),nrow=2,ncol=3, byrow = TRUE)
  • :
[ ,3]
[1, ] 8
[2, ] 12
  • :
[1] 8 12
  • :
[1] 10 12
  • :
[ ,3]
[1, ] 10
[2, ] 12

प्रश्न 44. What does the function power.anova.test वापस करना?

  • the probability of making a Type I error
  • the probability of not making a Type II error
  • the probability of making a Type II error
  • the probability of not making a Type I error

क्यू45. Review the statement below. What is the effect of covariate:factor on the analysis?

result <- lm(outcome ~ covariate + factor + covariate:factor, data = testcoef)
  • It forces the intercepts of the individual regressions to zero.
  • It calls for the effect of the covariate within each level of the factor.
  • It calls for the effect of each variable from covariate to factor in testcoef.
  • It forces the covariate to enter the equation before the factor levels.
# Example call to demonstrate.  `Species` is a Factor.  Petal.Length, Petal.Width are numeric.
# see `help(formula)` for more details on the formula specification.  `:` is "effect modification" or "interaction"

> summary(lm(Petal.Length ~ Petal.Width + Species + Petal.Width:Species, data = iris))
...
Petal.Width:Speciesversicolor   1.3228     0.5552   2.382   0.0185 *
Petal.Width:Speciesvirginica    0.1008     0.5248   0.192   0.8480
...

प्र46. A variable whose type is numeric can contain which items?

  • integers and real values
  • पूर्णांकों, वास्तविक, and raw values
  • real values only
  • पूर्णांकों, वास्तविक, and logical values

प्रश्न 47. What is the legitimate name of a data class in R?

  • property
  • integer
  • संख्या
  • variant

प्रश्न 48. How do you extract the values above the main diagonal from a square matrix named Rmat?

  • Rmat[upper.tri(Rmat)]
  • upper.triangular(Rmat)
  • upper.tri(Rmat)
  • upper.diag(Rmat)

प्र49. x is a vector of type integer, as shown on line 1 नीचे. What is the type of the result returned by the statement > MEDIAN(एक्स)?

x <- c(12L, 6L, 10L, 8L, 15L, 14L, 19L, 18L, 23L, 59L)

  • numeric
  • integer
  • एक
  • दोहरा

क्यू50. A list named a is created using the statement below. Which choice returns TRUE?

a <- list("10", TRUE, 5.6)

  • is.list(ए[1])
  • is.numeric(ए[1])
  • is.logical(ए[1])
  • is.character(ए[1])

प्रश्न51. How do you obtain the row numbers in a data frame named pizza for which the value of pizza$delivery_min is greater than or equal to 30?

  • :
late_delivery <- pizza$delivery_min >= 30
index_late <- index(late_delivery)
index_late
  • :
late_delivery <- pizza$delivery_min >= 30
rownum_late <- rownum(late_delivery)
rownum_late
  • :
late_delivery <- pizza$delivery_min >= 30
which_late <- which(late_delivery)
which_late
  • :
late_delivery <- pizza$delivery_min >= 30
late <- piza$late_delivery
pizza$late

प्रश्न52. Which function returns [1] TRUE FALSE TRUE?

indat <- c("Ash Rd","Ash Cir","Ash St")

  • grepl(“[Rd|Ave|डॉ|अनुसूचित जनजाति]”, indat)
  • grepl(“Rd|Ave|डॉ|अनुसूचित जनजाति”, indat)
  • grepl(“Rd,Ave,डॉ,अनुसूचित जनजाति”, indat)
  • grepl(“[Rd],[Ave],[डॉ],[अनुसूचित जनजाति]”, indat)

प्रश्न53. Which statement returns the fourth row of a data frame named मछली?

  • मछली[4, ]
  • मछली( ,4)
  • मछली(4, )
  • मछली{4, }

प्रश्न54. What is the value of csum?

a <- c(1.2, 2, 3.5, 4)
b <- c(1.2, 2.2, 3.5, 4)
csum <-sum(a == b)
  • 8
  • 3
  • 0.2
  • 21.6

प्रश्न54. A list named is created using the statement below. Which choice returns TRUE?

a <- list("10", TRUE, 5.6)
  • is.list(ए[1])
  • is.numeric(ए[1])
  • is.logical(ए[1])
  • is.character(ए[1])

प्रश्न55. What is the result of these three lines of code?

vect1 <- c(1:4)
vect2 <- c(1:2)
vect1 * vect2
  • [1] 1 4 3 8
  • ERROR
  • [1] 1 2 3 4 1 2
  • [1] 1 2 3 4 2 4 6 8

प्रश्न56. Which choice returns [1] “2019-09-28”?

  • प्रारूप(as.POSIXct(“Sep-28-2019 07:54:31 AM”,format=’%b%d%Y’))
  • as.POSIXlt(“Sep-28-2019 07:54:31 AM”,format=’%b-%d-%Y’)
  • as.POSIXct(“Sep-28-2019 07:54:31 AM UTC”)
  • प्रारूप(as.POSIXct(“Sep-28-2019 07:54:31 AM UTC”,format=’%b-%d-%Y’))

प्रश्न57. The variable potus is a character vector, as shown in line 1 नीचे. Wich statement returns the results shown?

1 potus <- c("GHW Bush", "Clinton", "GW Bush", "Obama")

Results: [1] "GHW BUsh" "Clinton" "Obama"
  • potus[-“GW Bush”]
  • potus[1:2 4]
  • potus[-3]
  • potus[1,2,4]

प्र 58. A data frame contains two factor -fact1 and fact2- and a numerical outcome variable. Which statement returns results that do NOT include an interaction term?

  • anova(lm(outcome ~ fact1 : fact2))
  • anova(lm(outcome ~ fact1 * fact2))
  • anova(lm(outcome ~ fact1 + fact2))
  • anova(lm(outcome ~ fact1 + fact2 + fact1 : fact2))

प्रश्न59. Review line 1 नीचे. What does the statement on line 2 वापस करना?

1 myvect <- c(-2,-1,0)
2 as.logical(myvect)
  • [1]-2 -1 0
  • [1]TRUE TRUE FALSE
  • [1]FALSE FALSE TRUE
  • [1]NA NA NA

क्यू 60. Which option setting can cause difficulty if you want to add to a variable’s possible values after you have designed an object’s initial data structure?

  • ()OPTIONS(colnames(एक्स)<-NULL)
  • ()OPTIONS(max.print=5)
  • ()OPTIONS(continue=”… “,
  • ()OPTIONS(stringAsFactors=TRUE

प्रश्न 61. In this image below, the data frame on lines 1 के माध्यम से 4 is named StDf. StDf contains no factors. Why does statement on line 6 वापस करना “चरित्र” while the statement on line 7 returnsdata.frame”?

छवि

  • Each value in the first row is a character value, but the values in the third column include both character and numeric values.
  • By specifying the final row, 3, and no column specified, StDf[3, ] calls for the complete structure.
  • Columns in a data frame are vectors generally containing a single type of data. Rows in a data frame are lists, but they belong to a structure that has multiple rows: the data frame.
  • Each value in the first column is a character value, but the values in the third row include both character and numeric values.

प्रश्न 62. Review line 1. What does the statement on line 3 वापस करना?

mtrx <- matrix(1:6, 3, 2)

mtrx[, -1]

छवि

  • ­

  • ­

  • ­

  • [1] 4 5 6

प्रश्न 63. Why does sum(!is.na(pizza$week)) return the number of rows with valid, non-NA values in the column named week?

  • The exclamation point in !is.na(pizza$week) reverses the meaning of the test it precedes.
  • !is.na(pizza$week) counts the number of NA values in the column.
  • !is.na(pizza$week) returns a vector of TRUE/FALSE values, in which TRUE is treated as a 0 and FALSE as a 1.
  • !is.na(pizza$week) counts the number of non-missing values in the column.

प्रश्न 64. How do you get documentation of an installed and loaded R package named dplyr and packages with dplyr as an alias?

  • मदद(dplyr)
  • ? dplyr
  • ?? dplyr
  • Press the F1 key.

प्रश्न 65. नीचे दी गई छवि में, the data frame named iris includes a numeric vector named Petal.Length. Do the functions labeled Pair 1 and Pair 2 return the same information?

छवि

  • नहीं, both the length and the class of the returned structures are different.
  • हां, both pairs of statements return an object with the same length and class.
  • नहीं, the length is the same but the class is different.
  • नहीं, the class is the same but the length is different.

प्रश्न 66. NS _ for R are the main feature that make it different from the original S language.

  • closure rules
  • scoping rules
  • environment rules
  • इनमे से कोई भी नहीं

संदर्भ

प्रश्न 67. Which of the following is a base package for R programming ?

  • औजार
  • util
  • लैंग
  • All of the above

संदर्भ

लेखक

  • हेलेन बस्सी

    नमस्ते, I'm Helena, एक ब्लॉग लेखक जिसे शिक्षा क्षेत्र में ज्ञानवर्धक सामग्री पोस्ट करने का शौक है. मेरा मानना ​​है कि शिक्षा व्यक्तिगत और सामाजिक विकास की कुंजी है, और मैं अपने ज्ञान और अनुभव को सभी उम्र और पृष्ठभूमि के शिक्षार्थियों के साथ साझा करना चाहता हूं. मेरे ब्लॉग पर, आपको सीखने की रणनीतियों जैसे विषयों पर लेख मिलेंगे, ऑनलाइन शिक्षा, व्यवसायिक नीति, और अधिक. मैं अपने पाठकों की प्रतिक्रिया और सुझावों का भी स्वागत करता हूं, इसलिए बेझिझक एक टिप्पणी छोड़ें या किसी भी समय मुझसे संपर्क करें. मुझे आशा है कि आपको मेरा ब्लॉग पढ़ने में आनंद आएगा और यह उपयोगी और प्रेरणादायक लगेगा.

    सभी पोस्ट देखें

के बारे में हेलेन बस्सी

नमस्ते, I'm Helena, एक ब्लॉग लेखक जिसे शिक्षा क्षेत्र में ज्ञानवर्धक सामग्री पोस्ट करने का शौक है. मेरा मानना ​​है कि शिक्षा व्यक्तिगत और सामाजिक विकास की कुंजी है, और मैं अपने ज्ञान और अनुभव को सभी उम्र और पृष्ठभूमि के शिक्षार्थियों के साथ साझा करना चाहता हूं. मेरे ब्लॉग पर, आपको सीखने की रणनीतियों जैसे विषयों पर लेख मिलेंगे, ऑनलाइन शिक्षा, व्यवसायिक नीति, और अधिक. मैं अपने पाठकों की प्रतिक्रिया और सुझावों का भी स्वागत करता हूं, इसलिए बेझिझक एक टिप्पणी छोड़ें या किसी भी समय मुझसे संपर्क करें. मुझे आशा है कि आपको मेरा ब्लॉग पढ़ने में आनंद आएगा और यह उपयोगी और प्रेरणादायक लगेगा.

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