Data Visualization Home work 4

Antanas Kaminskas

2022-04-19

Task

Create examples of bad visualizations with your data and then, correct versions

  1. 4 erroneous visualizations and correct versions.
  2. 4 lyging/misleading vizualization and correct versions.

First task

library(pracma)
## Warning: paketas 'pracma' buvo sukurtas pagal R versiją 4.1.3
library(ggplot2)
library(plot3D)
library(rgl)
library(viscomplexr)

Data set

k <- seq(-13, 49.8, by = 0.1)
k
##   [1] -13.0 -12.9 -12.8 -12.7 -12.6 -12.5 -12.4 -12.3 -12.2 -12.1 -12.0 -11.9
##  [13] -11.8 -11.7 -11.6 -11.5 -11.4 -11.3 -11.2 -11.1 -11.0 -10.9 -10.8 -10.7
##  [25] -10.6 -10.5 -10.4 -10.3 -10.2 -10.1 -10.0  -9.9  -9.8  -9.7  -9.6  -9.5
##  [37]  -9.4  -9.3  -9.2  -9.1  -9.0  -8.9  -8.8  -8.7  -8.6  -8.5  -8.4  -8.3
##  [49]  -8.2  -8.1  -8.0  -7.9  -7.8  -7.7  -7.6  -7.5  -7.4  -7.3  -7.2  -7.1
##  [61]  -7.0  -6.9  -6.8  -6.7  -6.6  -6.5  -6.4  -6.3  -6.2  -6.1  -6.0  -5.9
##  [73]  -5.8  -5.7  -5.6  -5.5  -5.4  -5.3  -5.2  -5.1  -5.0  -4.9  -4.8  -4.7
##  [85]  -4.6  -4.5  -4.4  -4.3  -4.2  -4.1  -4.0  -3.9  -3.8  -3.7  -3.6  -3.5
##  [97]  -3.4  -3.3  -3.2  -3.1  -3.0  -2.9  -2.8  -2.7  -2.6  -2.5  -2.4  -2.3
## [109]  -2.2  -2.1  -2.0  -1.9  -1.8  -1.7  -1.6  -1.5  -1.4  -1.3  -1.2  -1.1
## [121]  -1.0  -0.9  -0.8  -0.7  -0.6  -0.5  -0.4  -0.3  -0.2  -0.1   0.0   0.1
## [133]   0.2   0.3   0.4   0.5   0.6   0.7   0.8   0.9   1.0   1.1   1.2   1.3
## [145]   1.4   1.5   1.6   1.7   1.8   1.9   2.0   2.1   2.2   2.3   2.4   2.5
## [157]   2.6   2.7   2.8   2.9   3.0   3.1   3.2   3.3   3.4   3.5   3.6   3.7
## [169]   3.8   3.9   4.0   4.1   4.2   4.3   4.4   4.5   4.6   4.7   4.8   4.9
## [181]   5.0   5.1   5.2   5.3   5.4   5.5   5.6   5.7   5.8   5.9   6.0   6.1
## [193]   6.2   6.3   6.4   6.5   6.6   6.7   6.8   6.9   7.0   7.1   7.2   7.3
## [205]   7.4   7.5   7.6   7.7   7.8   7.9   8.0   8.1   8.2   8.3   8.4   8.5
## [217]   8.6   8.7   8.8   8.9   9.0   9.1   9.2   9.3   9.4   9.5   9.6   9.7
## [229]   9.8   9.9  10.0  10.1  10.2  10.3  10.4  10.5  10.6  10.7  10.8  10.9
## [241]  11.0  11.1  11.2  11.3  11.4  11.5  11.6  11.7  11.8  11.9  12.0  12.1
## [253]  12.2  12.3  12.4  12.5  12.6  12.7  12.8  12.9  13.0  13.1  13.2  13.3
## [265]  13.4  13.5  13.6  13.7  13.8  13.9  14.0  14.1  14.2  14.3  14.4  14.5
## [277]  14.6  14.7  14.8  14.9  15.0  15.1  15.2  15.3  15.4  15.5  15.6  15.7
## [289]  15.8  15.9  16.0  16.1  16.2  16.3  16.4  16.5  16.6  16.7  16.8  16.9
## [301]  17.0  17.1  17.2  17.3  17.4  17.5  17.6  17.7  17.8  17.9  18.0  18.1
## [313]  18.2  18.3  18.4  18.5  18.6  18.7  18.8  18.9  19.0  19.1  19.2  19.3
## [325]  19.4  19.5  19.6  19.7  19.8  19.9  20.0  20.1  20.2  20.3  20.4  20.5
## [337]  20.6  20.7  20.8  20.9  21.0  21.1  21.2  21.3  21.4  21.5  21.6  21.7
## [349]  21.8  21.9  22.0  22.1  22.2  22.3  22.4  22.5  22.6  22.7  22.8  22.9
## [361]  23.0  23.1  23.2  23.3  23.4  23.5  23.6  23.7  23.8  23.9  24.0  24.1
## [373]  24.2  24.3  24.4  24.5  24.6  24.7  24.8  24.9  25.0  25.1  25.2  25.3
## [385]  25.4  25.5  25.6  25.7  25.8  25.9  26.0  26.1  26.2  26.3  26.4  26.5
## [397]  26.6  26.7  26.8  26.9  27.0  27.1  27.2  27.3  27.4  27.5  27.6  27.7
## [409]  27.8  27.9  28.0  28.1  28.2  28.3  28.4  28.5  28.6  28.7  28.8  28.9
## [421]  29.0  29.1  29.2  29.3  29.4  29.5  29.6  29.7  29.8  29.9  30.0  30.1
## [433]  30.2  30.3  30.4  30.5  30.6  30.7  30.8  30.9  31.0  31.1  31.2  31.3
## [445]  31.4  31.5  31.6  31.7  31.8  31.9  32.0  32.1  32.2  32.3  32.4  32.5
## [457]  32.6  32.7  32.8  32.9  33.0  33.1  33.2  33.3  33.4  33.5  33.6  33.7
## [469]  33.8  33.9  34.0  34.1  34.2  34.3  34.4  34.5  34.6  34.7  34.8  34.9
## [481]  35.0  35.1  35.2  35.3  35.4  35.5  35.6  35.7  35.8  35.9  36.0  36.1
## [493]  36.2  36.3  36.4  36.5  36.6  36.7  36.8  36.9  37.0  37.1  37.2  37.3
## [505]  37.4  37.5  37.6  37.7  37.8  37.9  38.0  38.1  38.2  38.3  38.4  38.5
## [517]  38.6  38.7  38.8  38.9  39.0  39.1  39.2  39.3  39.4  39.5  39.6  39.7
## [529]  39.8  39.9  40.0  40.1  40.2  40.3  40.4  40.5  40.6  40.7  40.8  40.9
## [541]  41.0  41.1  41.2  41.3  41.4  41.5  41.6  41.7  41.8  41.9  42.0  42.1
## [553]  42.2  42.3  42.4  42.5  42.6  42.7  42.8  42.9  43.0  43.1  43.2  43.3
## [565]  43.4  43.5  43.6  43.7  43.8  43.9  44.0  44.1  44.2  44.3  44.4  44.5
## [577]  44.6  44.7  44.8  44.9  45.0  45.1  45.2  45.3  45.4  45.5  45.6  45.7
## [589]  45.8  45.9  46.0  46.1  46.2  46.3  46.4  46.5  46.6  46.7  46.8  46.9
## [601]  47.0  47.1  47.2  47.3  47.4  47.5  47.6  47.7  47.8  47.9  48.0  48.1
## [613]  48.2  48.3  48.4  48.5  48.6  48.7  48.8  48.9  49.0  49.1  49.2  49.3
## [625]  49.4  49.5  49.6  49.7  49.8
j <- zeta(0.5 + k*1i)
j
##   [1]  0.443004783+0.65548310i  0.500167156+0.68530386i  0.558346891+0.71022929i
##   [4]  0.617141147+0.73030853i  0.676163409+0.74562140i  0.735045463+0.75627595i
##   [7]  0.793439096+0.76240594i  0.851017507+0.76416832i  0.907476446+0.76174061i
##  [10]  0.962535088+0.75531833i  1.015936651+0.74511247i  1.067448777+0.73134699i
##  [13]  1.116863688+0.71425635i  1.163998126+0.69408321i  1.208693104+0.67107613i
##  [16]  1.250813480+0.64548749i  1.290247369+0.61757141i  1.326905412+0.58758189i
##  [19]  1.360719927+0.55577109i  1.391643944+0.52238767i  1.419650152+0.48767535i
##  [22]  1.444729774+0.45187160i  1.466891379+0.41520645i  1.486159651+0.37790146i
##  [25]  1.502574129+0.34016884i  1.516187929+0.30221072i  1.527066458+0.26421846i
##  [28]  1.535286139+0.22637226i  1.540933146+0.18884069i  1.544102172+0.15178051i
##  [31]  1.544895220+0.11533647i  1.543420447+0.07964127i  1.539791039+0.04481561i
##  [34]  1.534124152+0.01096833i  1.526539901-0.02180346i  1.517160407-0.05341403i
##  [37]  1.506108911-0.08378877i  1.493508948-0.11286377i  1.479483582-0.14058543i
##  [40]  1.464154715-0.16690998i  1.447642452-0.19180301i  1.430064531-0.21523894i
##  [43]  1.411535823-0.23720048i  1.392167880-0.25767812i  1.372068556-0.27666955i
##  [46]  1.351341673-0.29417911i  1.330086750-0.31021724i  1.308398774-0.32479995i
##  [49]  1.286368030-0.33794824i  1.264079965-0.34968762i  1.241615106-0.36004759i
##  [52]  1.219049001-0.36906112i  1.196452216-0.37676420i  1.173890345-0.38319539i
##  [55]  1.151424059-0.38839538i  1.129109184-0.39240658i  1.106996792-0.39527275i
##  [58]  1.085133322-0.39703860i  1.063560712-0.39774953i  1.042316549-0.39745124i
##  [61]  1.021434231-0.39618950i  1.000943139-0.39400983i  0.980868810-0.39095732i
##  [64]  0.961233133-0.38707637i  0.942054524-0.38241051i  0.923348127-0.37700220i
##  [67]  0.905125998-0.37089271i  0.887397298-0.36412195i  0.870168476-0.35672836i
##  [70]  0.853443454-0.34874878i  0.837223808-0.34021840i  0.821508935-0.33117065i
##  [73]  0.806296220-0.32163714i  0.791581200-0.31164761i  0.777357704-0.30122987i
##  [76]  0.763618003-0.29040978i  0.750352938-0.27921120i  0.737552043-0.26765596i
##  [79]  0.725203656-0.25576387i  0.713295019-0.24355267i  0.701812371-0.23103801i
##  [82]  0.690741023-0.21823346i  0.680065421-0.20515045i  0.669769203-0.19179830i
##  [85]  0.659835232-0.17818413i  0.650245622-0.16431286i  0.640981743-0.15018719i
##  [88]  0.632024211-0.13580749i  0.623352859-0.12117178i  0.614946681-0.10627565i
##  [91]  0.606783765-0.09111214i  0.598841179-0.07567163i  0.591094846-0.05994170i
##  [94]  0.583519366-0.04390699i  0.576087803-0.02754894i  0.568771418-0.01084562i
##  [97]  0.561539340+0.00622860i  0.554358160+0.02370338i  0.547191440+0.04161278i
## [100]  0.539999100+0.05999571i  0.532736671+0.07889651i  0.525354368+0.09836555i
## [103]  0.517795950+0.11845998i  0.509997287+0.13924457i  0.501884585+0.16079274i
## [106]  0.493372133+0.18318771i  0.484359461+0.20652382i  0.474727711+0.23090806i
## [109]  0.464334979+0.25646178i  0.453010273+0.28332259i  0.440545650+0.31164634i
## [112]  0.426685855+0.34160911i  0.411114593+0.37340895i  0.393436174+0.40726681i
## [115]  0.373150786+0.44342598i  0.349620929+0.48214816i  0.322025633+0.52370373i
## [118]  0.289297768+0.56835080i  0.250038359+0.61629443i  0.202400566+0.66760964i
## [121]  0.143936427+0.72209974i  0.071405641+0.77903908i -0.019432076+0.83671260i
## [124] -0.133955813+0.89160992i -0.278507869+0.93707550i -0.459302890+0.96125428i
## [127] -0.679195281+0.94463296i -0.930565773+0.85913190i -1.184325121+0.67417999i
## [130] -1.383389636+0.37687945i -1.460354509+0.00000000i -1.383389636-0.37687945i
## [133] -1.184325121-0.67417999i -0.930565773-0.85913190i -0.679195281-0.94463296i
## [136] -0.459302890-0.96125428i -0.278507869-0.93707550i -0.133955813-0.89160992i
## [139] -0.019432076-0.83671260i  0.071405641-0.77903908i  0.143936427-0.72209974i
## [142]  0.202400566-0.66760964i  0.250038359-0.61629443i  0.289297768-0.56835080i
## [145]  0.322025633-0.52370373i  0.349620929-0.48214816i  0.373150786-0.44342598i
## [148]  0.393436174-0.40726681i  0.411114593-0.37340895i  0.426685855-0.34160911i
## [151]  0.440545650-0.31164634i  0.453010273-0.28332259i  0.464334979-0.25646178i
## [154]  0.474727711-0.23090806i  0.484359461-0.20652382i  0.493372133-0.18318771i
## [157]  0.501884585-0.16079274i  0.509997287-0.13924457i  0.517795950-0.11845998i
## [160]  0.525354368-0.09836555i  0.532736671-0.07889651i  0.539999100-0.05999571i
## [163]  0.547191440-0.04161278i  0.554358160-0.02370338i  0.561539340-0.00622860i
## [166]  0.568771418+0.01084562i  0.576087803+0.02754894i  0.583519366+0.04390699i
## [169]  0.591094846+0.05994170i  0.598841179+0.07567163i  0.606783765+0.09111214i
## [172]  0.614946681+0.10627565i  0.623352859+0.12117178i  0.632024211+0.13580749i
## [175]  0.640981743+0.15018719i  0.650245622+0.16431286i  0.659835232+0.17818413i
## [178]  0.669769203+0.19179830i  0.680065421+0.20515045i  0.690741023+0.21823346i
## [181]  0.701812371+0.23103801i  0.713295019+0.24355267i  0.725203656+0.25576387i
## [184]  0.737552043+0.26765596i  0.750352938+0.27921120i  0.763618003+0.29040978i
## [187]  0.777357704+0.30122987i  0.791581200+0.31164761i  0.806296220+0.32163714i
## [190]  0.821508935+0.33117065i  0.837223808+0.34021840i  0.853443454+0.34874878i
## [193]  0.870168476+0.35672836i  0.887397298+0.36412195i  0.905125998+0.37089271i
## [196]  0.923348127+0.37700220i  0.942054524+0.38241051i  0.961233133+0.38707637i
## [199]  0.980868810+0.39095732i  1.000943139+0.39400983i  1.021434231+0.39618950i
## [202]  1.042316549+0.39745124i  1.063560712+0.39774953i  1.085133322+0.39703860i
## [205]  1.106996792+0.39527275i  1.129109184+0.39240658i  1.151424059+0.38839538i
## [208]  1.173890345+0.38319539i  1.196452216+0.37676420i  1.219049001+0.36906112i
## [211]  1.241615106+0.36004759i  1.264079965+0.34968762i  1.286368030+0.33794824i
## [214]  1.308398774+0.32479995i  1.330086750+0.31021724i  1.351341673+0.29417911i
## [217]  1.372068556+0.27666955i  1.392167880+0.25767812i  1.411535823+0.23720048i
## [220]  1.430064531+0.21523894i  1.447642452+0.19180301i  1.464154715+0.16690998i
## [223]  1.479483582+0.14058543i  1.493508948+0.11286377i  1.506108911+0.08378877i
## [226]  1.517160407+0.05341403i  1.526539901+0.02180346i  1.534124152-0.01096833i
## [229]  1.539791039-0.04481561i  1.543420447-0.07964127i  1.544895220-0.11533647i
## [232]  1.544102172-0.15178051i  1.540933146-0.18884069i  1.535286139-0.22637226i
## [235]  1.527066458-0.26421846i  1.516187929-0.30221072i  1.502574129-0.34016884i
## [238]  1.486159651-0.37790146i  1.466891379-0.41520645i  1.444729774-0.45187160i
## [241]  1.419650152-0.48767535i  1.391643944-0.52238767i  1.360719927-0.55577109i
## [244]  1.326905412-0.58758189i  1.290247369-0.61757141i  1.250813480-0.64548749i
## [247]  1.208693104-0.67107613i  1.163998126-0.69408321i  1.116863688-0.71425635i
## [250]  1.067448777-0.73134699i  1.015936651-0.74511247i  0.962535088-0.75531833i
## [253]  0.907476446-0.76174061i  0.851017507-0.76416832i  0.793439096-0.76240594i
## [256]  0.735045463-0.75627595i  0.676163409-0.74562140i  0.617141147-0.73030853i
## [259]  0.558346891-0.71022929i  0.500167156-0.68530386i  0.443004783-0.65548310i
## [262]  0.387276659-0.62075084i  0.333411164-0.58112609i  0.281845323-0.53666504i
## [265]  0.233021683-0.48746285i  0.187384931-0.43365524i  0.145378251-0.37541973i
## [268]  0.107439456-0.31297666i  0.073996914-0.24658980i  0.045465291-0.17656662i
## [271]  0.022241143-0.10325812i  0.004698400-0.02705828i -0.006816218+0.05159699i
## [274] -0.011987824+0.13223137i -0.010537956+0.21433011i -0.002229099+0.29734259i
## [277]  0.013130910+0.38068531i  0.035684678+0.46374549i  0.065521273+0.54588510i
## [280]  0.102672563+0.62644544i  0.147109907+0.70475224i  0.198741279+0.78012114i
## [283]  0.257408873+0.85186366i  0.322887260+0.91929359i  0.394882145+0.98173365i
## [286]  0.473029778+1.03852248i  0.556897075+1.08902191i  0.645982487+1.13262429i
## [289]  0.739717652+1.16876001i  0.837469870+1.19690494i  0.938545408+1.21658782i
## [292]  1.042193668+1.22739749i  1.147612191+1.22898983i  1.253952527+1.22109430i
## [295]  1.360326912+1.20352005i  1.465815751+1.17616139i  1.569475844+1.13900266i
## [298]  1.670349305+1.09212224i  1.767473106+1.03569574i  1.859889158+0.96999819i
## [301]  1.946654834+0.89540519i  2.026853835+0.81239296i  2.099607271+0.72153715i
## [304]  2.164084828+0.62351050i  2.219515891+0.51907909i  2.265200470+0.40909744i
## [307]  2.300519777+0.29450219i  2.324946301+0.17630456i  2.338053215+0.05558149i
## [310]  2.339522966-0.06653440i  2.329154873-0.18886601i  2.306871605-0.31020397i
## [313]  2.272724365-0.42931987i  2.226896669-0.54498027i  2.169706577-0.65596130i
## [316]  2.101607284-0.76106389i  2.023185971-0.85912922i  1.935160841-0.94905426i
## [319]  1.838376314-1.02980732i  1.733796331-1.10044313i  1.622495793-1.16011749i
## [322]  1.505650155-1.20810105i  1.384523248-1.24379209i  1.260453405-1.26672805i
## [325]  1.134838037-1.27659555i  1.009116786-1.27323875i  0.884753469-1.25666575i
## [328]  0.763216990-1.22705294i  0.645961496-1.18474711i  0.534406014-1.13026518i
## [331]  0.429913860-1.06429144i  0.333772138-0.98767226i  0.247171624-0.90140821i
## [334]  0.171187383-0.80664363i  0.106760438-0.70465370i  0.054680833-0.59682904i
## [337]  0.015572401-0.48465807i -0.010120428-0.36970729i -0.022143508-0.25359963i
## [340] -0.020441248-0.13799123i -0.005162065-0.02454696i  0.023339223+0.08508505i
## [343]  0.064502196+0.18929949i  0.117564962+0.28655998i  0.181571669+0.37542509i
## [346]  0.255383429+0.45457351i  0.337692584+0.52282816i  0.427040223+0.57917867i
## [349]  0.521836782+0.62280174i  0.620385484+0.65307915i  0.720908342+0.66961273i
## [352]  0.821574371+0.67223622i  0.920529599+0.66102339i  1.015928427+0.63629241i
## [355]  1.105965849+0.59860605i  1.188909971+0.54876762i  1.263134285+0.48781259i
## [358]  1.327149102+0.41699579i  1.379631547+0.33777438i  1.419453518+0.25178656i
## [361]  1.445707034+0.16082643i  1.457726397+0.06681519i  1.455106650-0.02823088i
## [364]  1.437717852-0.12223519i  1.405714746-0.21309785i  1.359541478-0.29873425i
## [367]  1.299931080-0.37711463i  1.227899550-0.44630385i  1.144734435-0.50450065i
## [370]  1.051977930-0.55007572i  0.951404632-0.58160758i  0.844994151-0.59791582i
## [373]  0.734898957-0.59809067i  0.623407880-0.58151841i  0.512905834-0.54790185i
## [376]  0.405830412-0.49727537i  0.304626084-0.43001401i  0.211696823-0.34683624i
## [379]  0.129358024-0.24880010i  0.059788656-0.13729259i  0.004984593-0.01401230i
## [382] -0.033285888+0.11905469i -0.053523504+0.25966529i -0.054535292+0.40535586i
## [385] -0.035466996+0.55348426i  0.004170312+0.70127662i  0.064480113+0.84587824i
## [388]  0.145167439+0.98440751i  0.245533494+1.11401205i  0.364478244+1.23192581i
## [391]  0.500511191+1.33552616i  0.651770354+1.42238960i  0.816049327+1.49034508i
## [394]  0.990832097+1.53752354i  1.173335141+1.56240274i  1.360556120+1.56384613i
## [397]  1.549328366+1.54113481i  1.736380158+1.49399173i  1.918397686+1.42259738i
## [400]  2.092090458+1.32759635i  2.254257821+1.21009438i  2.401855200+1.07164574i
## [403]  2.532058617+0.91423085i  2.642326047+0.74022451i  2.730454185+0.55235496i
## [406]  2.794629269+0.35365465i  2.833470682+0.14740340i  2.846066192-0.06293486i
## [409]  2.831997823-0.27378062i  2.791357569-0.48151115i  2.724752329-0.68253520i
## [412]  2.633297702-0.87336838i  2.518600508-1.05070755i  2.382730181-1.21150257i
## [415]  2.228179405-1.35302356i  2.057814672-1.47292223i  1.874817665-1.56928553i
## [418]  1.682618616-1.64068037i  1.484823029-1.68618809i  1.285133323-1.70542766i
## [421]  1.087267150-1.69856680i  0.894874244-1.66632064i  0.711453746-1.60993747i
## [424]  0.540274010-1.53117186i  0.384296852-1.43224542i  0.246108190-1.31579592i
## [427]  0.127856874-1.18481591i  0.031203378-1.04258186i -0.042720195-0.89257570i
## [430] -0.093337566-0.73840033i -0.120642287-0.58369121i -0.125197663-0.43202610i
## [433] -0.108122341-0.28683525i -0.071061644-0.15131435i -0.016145112-0.02834239i
## [436]  0.054068930+0.07959315i  0.136660587+0.17046192i  0.228425881+0.24274514i
## [439]  0.325962678+0.29547716i  0.425762972+0.32827290i  0.524309195+0.34134016i
## [442]  0.618172093+0.33547606i  0.704107572+0.31204746i  0.779149892+0.27295563i
## [445]  0.840698630+0.22058564i  0.886596904+0.15774157i  0.915198567+0.08756920i
## [448]  0.925422274+0.01346761i  0.916790660-0.06100760i  0.889453230-0.13224752i
## [451]  0.844191943-0.19669639i  0.782408962-0.25095875i  0.706096500-0.29190413i
## [454]  0.617789177-0.31676643i  0.520499838-0.32323489i  0.417640224-0.30953414i
## [457]  0.312928384-0.27449054i  0.210285120-0.21758287i  0.113722138-0.13897532i
## [460]  0.027224864-0.03953157i -0.045366850+0.07919098i -0.100476806+0.21496718i
## [463] -0.134905904+0.36495000i -0.145937605+0.52573549i -0.131432172+0.69344557i
## [466] -0.089906725+0.86382659i -0.020598429+1.03236120i  0.076491412+1.19439090i
## [469]  0.200574114+1.34524565i  0.350072423+1.48037732i  0.522641960+1.59549299i
## [472]  0.715215250+1.68668436i  0.924067627+1.75054943i  1.144903643+1.78430265i
## [475]  1.372961993+1.78587023i  1.603136350+1.75396729i  1.830108990+1.68815432i
## [478]  2.048493642+1.58887074i  2.252983600+1.45744412i  2.438500924+1.29607407i
## [481]  2.600342396+1.10779093i  2.734317896+0.89638963i  2.836876975+0.66634032i
## [484]  2.905219668+0.42267776i  2.937387950+0.17087228i  2.932334744-0.08331423i
## [487]  2.889967976-0.33398349i  2.811167875-0.57526261i  2.697776482-0.80146809i
## [490]  2.552559124-1.00726693i  2.379138483-1.18783030i  2.181902696-1.33897482i
## [493]  1.965889780-1.45728710i  1.736651403-1.54022762i  1.500099745-1.58621027i
## [496]  1.262341774-1.59465487i  1.029505731-1.56601072i  0.807564955-1.50174978i
## [499]  0.602164362-1.40432945i  0.418454908-1.27712548i  0.260941214-1.12433669i
## [502]  0.133347218-0.95086398i  0.038504244-0.76216707i -0.021734743-0.56410303i
## [505] -0.046551709-0.36275139i -0.036188793-0.16423117i  0.008058948+0.02548466i
## [508]  0.083883440+0.20075131i  0.188035294+0.35642535i  0.316425359+0.48802308i
## [511]  0.464253266+0.59185909i  0.626159102+0.66516024i  0.796393626+0.70615128i
## [514]  0.969001694+0.71410882i  1.138013100+0.68938181i  1.297634677+0.63337745i
## [517]  1.442437397+0.54851260i  1.567532248+0.43813201i  1.668728995+0.30639581i
## [520]  1.742672370+0.15813954i  1.786950954-0.00128864i  1.800174840-0.16620846i
## [523]  1.782019176-0.33079988i  1.733231806-0.48930063i  1.655604414-0.63620261i
## [526]  1.551907828-0.76644007i  1.425793375-0.87556332i  1.281663386-0.95989163i
## [529]  1.124515033-1.01663993i  0.959762727-1.04401459i  0.793045051-1.04127460i
## [532]  0.630022909-1.00875573i  0.476175928-0.94785640i  0.336604335-0.86098521i
## [535]  0.215843447-0.75147196i  0.117697573-0.62344448i  0.045099530-0.48167572i
## [538]  0.000001153-0.33140604i -0.016700820-0.17814698i -0.005200370-0.02747328i
## [541]  0.033222506+0.11518910i  0.096247189+0.24477160i  0.180597413+0.35676023i
## [544]  0.282163263+0.44737408i  0.396156214+0.51371811i  0.517291958+0.55390420i
## [547]  0.639994650+0.56713543i  0.758615266+0.55374979i  0.867656160+0.51522105i
## [550]  0.961993459+0.45411588i  1.037088915+0.37400823i  1.089183014+0.27935318i
## [553]  1.115461701+0.17532436i  1.114189909+0.06762041i  1.084806158-0.03775296i
## [556]  1.027973868-0.13471747i  0.945586511-0.21736486i  0.840725443-0.28019848i
## [559]  0.717570969-0.31836486i  0.581268989-0.32786613i  0.437757270-0.30574494i
## [562]  0.293557009-0.25023418i  0.155536776-0.16086521i  0.030657099-0.03852934i
## [565] -0.074295100+0.11451055i -0.152972474+0.29466009i -0.199723624+0.49708461i
## [568] -0.209830028+0.71584943i -0.179714204+0.94410485i -0.107110677+1.17431011i
## [571]  0.008807491+1.39848861i  0.167352273+1.60850577i  0.366298307+1.79635937i
## [574]  0.601916535+1.95447200i  0.869063769+2.07597476i  1.161325963+2.15497139i
## [577]  1.471210933+2.18677259i  1.790384296+2.16809151i  2.109940675+2.09719205i
## [580]  2.420700725+1.97398397i  2.713523407+1.80006011i  2.979622167+1.57867351i
## [583]  3.210873363+1.31465433i  3.400105347+1.01426862i  3.541357173+0.68502362i
## [586]  3.630096822+0.33542578i  3.663390361-0.02529992i  3.640015168-0.38751943i
## [589]  3.560512372-0.74151659i  3.427175851-1.07782551i  3.243977575-1.38755588i
## [592]  3.016431537-1.66269911i  2.751400907-1.89640345i  2.456855292-2.08320747i
## [595]  2.141586977-2.21922283i  1.814896710-2.30225904i  1.486260901-2.33188507i
## [598]  1.164992906-2.30942533i  0.859911456-2.23788969i  0.579029073-2.12184029i
## [601]  0.329272684-1.96719992i  0.116247400-1.78100955i -0.055947155-1.57114430i
## [604] -0.184840663-1.34599919i -0.269651093-1.11415702i -0.311276479-0.88405168i
## [607] -0.312219805-0.66364059i -0.276450055-0.46009930i -0.209205121-0.27955087i
## [610] -0.116744657-0.12684107i -0.006063121-0.00536859i  0.115425067+0.08302259i
## [613]  0.240215081+0.13808426i  0.361042077+0.16113679i  0.471198440+0.15497468i
## [616]  0.564824341+0.12370895i  0.637159146+0.07255314i  0.684742747+0.00756180i
## [619]  0.705558012-0.06466694i  0.699107956-0.13731215i  0.666424066-0.20365994i
## [622]  0.610005106-0.25742820i  0.533688809-0.29307148i  0.442461770-0.30605265i
## [625]  0.342215643-0.29306875i  0.239460169-0.25222071i  0.141005608-0.18311891i
## [628]  0.053628597-0.08691897i -0.016263590+0.03371419i
kk <- seq(-30, 30, len = 629)
xx <- Re(zeta(.5 + kk*1i))
yy <- Im(zeta(.5 + kk*1i))
length(xx)
## [1] 629
length(yy)
## [1] 629

First task

Erroneous visualization. Visualization that shows not clear what, invalid axis representation values, the meaning of visualization is unclear

barplot(xx)

Correct visualization

plot(kk, xx, type = "l", col = "darkgreen", lty = 1, lwd = 3, xlim = c(-30, 30),
     xlab = " Imaginary part", ylab = "Function values",  main = expression(paste("Real part of","", zeta, "(s)")))
abline(v = 0, lty = 2 ,lwd = 2)
abline(h = 0, lty = 2 ,lwd = 2)

Erroneous visualization. Invalid axis representation values, the meaning of visualization is unclear and form the first view it make no sense.

boxplot(kk, yy, main = expression(paste("Imagenary part of","", zeta, "(s)")) )

Correct visualization

plot(kk, yy, type = "l", col = "red", lty = 1, lwd = 3, xlim = c(-30, 30),
     xlab = " Imaginary part",ylab = " Funtion values", main = expression(paste("Imaginary part of","", zeta, "(s)")))
abline(v = 0, lty = 2 ,lwd = 2)
abline(h = 0, lty = 2 ,lwd = 2)

Erroneous visualization. Visualization that shows not clear what, invalid axis representation values wrong axis lables

plot(abs(xx - yy), type = "l")

Correct visualization

plot(kk ,abs(xx-yy), type = "l", col = "red", lwd = 2,
    xlab = "Real part", ylab = "Function modulus value",
     main = expression(paste("Modulus of","", zeta, "(s)")) )

Erroneous visualization. Visualization that shows not clear what, invalid axis representation values, the meaning of visualization is unclear, wrong visualization used

plot.ts( abs(Re(xx) - Im(yy)))

Correct visualization

plot(kk, abs(Re(xx) - Im(yy)),  type = "l", col = "red", lwd = 2,
     xlab = "Real part", ylab = "Function modulus value",
     main = expression(paste("Modulus of","", zeta, "(s)")) )

Second task

nx <- seq(-15, 15, len = 300)
nx
##   [1] -15.00000000 -14.89966555 -14.79933110 -14.69899666 -14.59866221
##   [6] -14.49832776 -14.39799331 -14.29765886 -14.19732441 -14.09698997
##  [11] -13.99665552 -13.89632107 -13.79598662 -13.69565217 -13.59531773
##  [16] -13.49498328 -13.39464883 -13.29431438 -13.19397993 -13.09364548
##  [21] -12.99331104 -12.89297659 -12.79264214 -12.69230769 -12.59197324
##  [26] -12.49163880 -12.39130435 -12.29096990 -12.19063545 -12.09030100
##  [31] -11.98996656 -11.88963211 -11.78929766 -11.68896321 -11.58862876
##  [36] -11.48829431 -11.38795987 -11.28762542 -11.18729097 -11.08695652
##  [41] -10.98662207 -10.88628763 -10.78595318 -10.68561873 -10.58528428
##  [46] -10.48494983 -10.38461538 -10.28428094 -10.18394649 -10.08361204
##  [51]  -9.98327759  -9.88294314  -9.78260870  -9.68227425  -9.58193980
##  [56]  -9.48160535  -9.38127090  -9.28093645  -9.18060201  -9.08026756
##  [61]  -8.97993311  -8.87959866  -8.77926421  -8.67892977  -8.57859532
##  [66]  -8.47826087  -8.37792642  -8.27759197  -8.17725753  -8.07692308
##  [71]  -7.97658863  -7.87625418  -7.77591973  -7.67558528  -7.57525084
##  [76]  -7.47491639  -7.37458194  -7.27424749  -7.17391304  -7.07357860
##  [81]  -6.97324415  -6.87290970  -6.77257525  -6.67224080  -6.57190635
##  [86]  -6.47157191  -6.37123746  -6.27090301  -6.17056856  -6.07023411
##  [91]  -5.96989967  -5.86956522  -5.76923077  -5.66889632  -5.56856187
##  [96]  -5.46822742  -5.36789298  -5.26755853  -5.16722408  -5.06688963
## [101]  -4.96655518  -4.86622074  -4.76588629  -4.66555184  -4.56521739
## [106]  -4.46488294  -4.36454849  -4.26421405  -4.16387960  -4.06354515
## [111]  -3.96321070  -3.86287625  -3.76254181  -3.66220736  -3.56187291
## [116]  -3.46153846  -3.36120401  -3.26086957  -3.16053512  -3.06020067
## [121]  -2.95986622  -2.85953177  -2.75919732  -2.65886288  -2.55852843
## [126]  -2.45819398  -2.35785953  -2.25752508  -2.15719064  -2.05685619
## [131]  -1.95652174  -1.85618729  -1.75585284  -1.65551839  -1.55518395
## [136]  -1.45484950  -1.35451505  -1.25418060  -1.15384615  -1.05351171
## [141]  -0.95317726  -0.85284281  -0.75250836  -0.65217391  -0.55183946
## [146]  -0.45150502  -0.35117057  -0.25083612  -0.15050167  -0.05016722
## [151]   0.05016722   0.15050167   0.25083612   0.35117057   0.45150502
## [156]   0.55183946   0.65217391   0.75250836   0.85284281   0.95317726
## [161]   1.05351171   1.15384615   1.25418060   1.35451505   1.45484950
## [166]   1.55518395   1.65551839   1.75585284   1.85618729   1.95652174
## [171]   2.05685619   2.15719064   2.25752508   2.35785953   2.45819398
## [176]   2.55852843   2.65886288   2.75919732   2.85953177   2.95986622
## [181]   3.06020067   3.16053512   3.26086957   3.36120401   3.46153846
## [186]   3.56187291   3.66220736   3.76254181   3.86287625   3.96321070
## [191]   4.06354515   4.16387960   4.26421405   4.36454849   4.46488294
## [196]   4.56521739   4.66555184   4.76588629   4.86622074   4.96655518
## [201]   5.06688963   5.16722408   5.26755853   5.36789298   5.46822742
## [206]   5.56856187   5.66889632   5.76923077   5.86956522   5.96989967
## [211]   6.07023411   6.17056856   6.27090301   6.37123746   6.47157191
## [216]   6.57190635   6.67224080   6.77257525   6.87290970   6.97324415
## [221]   7.07357860   7.17391304   7.27424749   7.37458194   7.47491639
## [226]   7.57525084   7.67558528   7.77591973   7.87625418   7.97658863
## [231]   8.07692308   8.17725753   8.27759197   8.37792642   8.47826087
## [236]   8.57859532   8.67892977   8.77926421   8.87959866   8.97993311
## [241]   9.08026756   9.18060201   9.28093645   9.38127090   9.48160535
## [246]   9.58193980   9.68227425   9.78260870   9.88294314   9.98327759
## [251]  10.08361204  10.18394649  10.28428094  10.38461538  10.48494983
## [256]  10.58528428  10.68561873  10.78595318  10.88628763  10.98662207
## [261]  11.08695652  11.18729097  11.28762542  11.38795987  11.48829431
## [266]  11.58862876  11.68896321  11.78929766  11.88963211  11.98996656
## [271]  12.09030100  12.19063545  12.29096990  12.39130435  12.49163880
## [276]  12.59197324  12.69230769  12.79264214  12.89297659  12.99331104
## [281]  13.09364548  13.19397993  13.29431438  13.39464883  13.49498328
## [286]  13.59531773  13.69565217  13.79598662  13.89632107  13.99665552
## [291]  14.09698997  14.19732441  14.29765886  14.39799331  14.49832776
## [296]  14.59866221  14.69899666  14.79933110  14.89966555  15.00000000
ny <- seq(-15, 15, len = 300)
ny
##   [1] -15.00000000 -14.89966555 -14.79933110 -14.69899666 -14.59866221
##   [6] -14.49832776 -14.39799331 -14.29765886 -14.19732441 -14.09698997
##  [11] -13.99665552 -13.89632107 -13.79598662 -13.69565217 -13.59531773
##  [16] -13.49498328 -13.39464883 -13.29431438 -13.19397993 -13.09364548
##  [21] -12.99331104 -12.89297659 -12.79264214 -12.69230769 -12.59197324
##  [26] -12.49163880 -12.39130435 -12.29096990 -12.19063545 -12.09030100
##  [31] -11.98996656 -11.88963211 -11.78929766 -11.68896321 -11.58862876
##  [36] -11.48829431 -11.38795987 -11.28762542 -11.18729097 -11.08695652
##  [41] -10.98662207 -10.88628763 -10.78595318 -10.68561873 -10.58528428
##  [46] -10.48494983 -10.38461538 -10.28428094 -10.18394649 -10.08361204
##  [51]  -9.98327759  -9.88294314  -9.78260870  -9.68227425  -9.58193980
##  [56]  -9.48160535  -9.38127090  -9.28093645  -9.18060201  -9.08026756
##  [61]  -8.97993311  -8.87959866  -8.77926421  -8.67892977  -8.57859532
##  [66]  -8.47826087  -8.37792642  -8.27759197  -8.17725753  -8.07692308
##  [71]  -7.97658863  -7.87625418  -7.77591973  -7.67558528  -7.57525084
##  [76]  -7.47491639  -7.37458194  -7.27424749  -7.17391304  -7.07357860
##  [81]  -6.97324415  -6.87290970  -6.77257525  -6.67224080  -6.57190635
##  [86]  -6.47157191  -6.37123746  -6.27090301  -6.17056856  -6.07023411
##  [91]  -5.96989967  -5.86956522  -5.76923077  -5.66889632  -5.56856187
##  [96]  -5.46822742  -5.36789298  -5.26755853  -5.16722408  -5.06688963
## [101]  -4.96655518  -4.86622074  -4.76588629  -4.66555184  -4.56521739
## [106]  -4.46488294  -4.36454849  -4.26421405  -4.16387960  -4.06354515
## [111]  -3.96321070  -3.86287625  -3.76254181  -3.66220736  -3.56187291
## [116]  -3.46153846  -3.36120401  -3.26086957  -3.16053512  -3.06020067
## [121]  -2.95986622  -2.85953177  -2.75919732  -2.65886288  -2.55852843
## [126]  -2.45819398  -2.35785953  -2.25752508  -2.15719064  -2.05685619
## [131]  -1.95652174  -1.85618729  -1.75585284  -1.65551839  -1.55518395
## [136]  -1.45484950  -1.35451505  -1.25418060  -1.15384615  -1.05351171
## [141]  -0.95317726  -0.85284281  -0.75250836  -0.65217391  -0.55183946
## [146]  -0.45150502  -0.35117057  -0.25083612  -0.15050167  -0.05016722
## [151]   0.05016722   0.15050167   0.25083612   0.35117057   0.45150502
## [156]   0.55183946   0.65217391   0.75250836   0.85284281   0.95317726
## [161]   1.05351171   1.15384615   1.25418060   1.35451505   1.45484950
## [166]   1.55518395   1.65551839   1.75585284   1.85618729   1.95652174
## [171]   2.05685619   2.15719064   2.25752508   2.35785953   2.45819398
## [176]   2.55852843   2.65886288   2.75919732   2.85953177   2.95986622
## [181]   3.06020067   3.16053512   3.26086957   3.36120401   3.46153846
## [186]   3.56187291   3.66220736   3.76254181   3.86287625   3.96321070
## [191]   4.06354515   4.16387960   4.26421405   4.36454849   4.46488294
## [196]   4.56521739   4.66555184   4.76588629   4.86622074   4.96655518
## [201]   5.06688963   5.16722408   5.26755853   5.36789298   5.46822742
## [206]   5.56856187   5.66889632   5.76923077   5.86956522   5.96989967
## [211]   6.07023411   6.17056856   6.27090301   6.37123746   6.47157191
## [216]   6.57190635   6.67224080   6.77257525   6.87290970   6.97324415
## [221]   7.07357860   7.17391304   7.27424749   7.37458194   7.47491639
## [226]   7.57525084   7.67558528   7.77591973   7.87625418   7.97658863
## [231]   8.07692308   8.17725753   8.27759197   8.37792642   8.47826087
## [236]   8.57859532   8.67892977   8.77926421   8.87959866   8.97993311
## [241]   9.08026756   9.18060201   9.28093645   9.38127090   9.48160535
## [246]   9.58193980   9.68227425   9.78260870   9.88294314   9.98327759
## [251]  10.08361204  10.18394649  10.28428094  10.38461538  10.48494983
## [256]  10.58528428  10.68561873  10.78595318  10.88628763  10.98662207
## [261]  11.08695652  11.18729097  11.28762542  11.38795987  11.48829431
## [266]  11.58862876  11.68896321  11.78929766  11.88963211  11.98996656
## [271]  12.09030100  12.19063545  12.29096990  12.39130435  12.49163880
## [276]  12.59197324  12.69230769  12.79264214  12.89297659  12.99331104
## [281]  13.09364548  13.19397993  13.29431438  13.39464883  13.49498328
## [286]  13.59531773  13.69565217  13.79598662  13.89632107  13.99665552
## [291]  14.09698997  14.19732441  14.29765886  14.39799331  14.49832776
## [296]  14.59866221  14.69899666  14.79933110  14.89966555  15.00000000

Erroneous visualization. Visualization that shows not clear what, invalid axis representation values, the meaning of visualization is unclear, wrong visualization used

plot( Re(zeta(nx)))

Correct visualization

plot(nx, Re(zeta(nx)), xlab = "Real part",
     ylab = "Function values", lwd = 2, lty = 2, 
     main = expression(paste(" Real part of","", zeta, "(s)")) )

abline(v = 0, col = "red", lty = 2, lwd = 2)
abline(v = 1, col = "red", lty = 2, lwd = 2)
abline(h = 0, col = "red", lty = 2, lwd = 2)

Erroneous visualization. Visualization that shows not clear what, invalid axis representation values, the meaning of visualization is unclear, no legend

plot( zeta(.5 + nx), type = "l", col = "red",
     ylab = "Function values", xlab = "Real part",
     main = expression(paste("Different real part of","", zeta, "(s)")) )
lines( zeta(1 + nx),nx, type = "l", col = "green", ylim = c(-10,2))
lines(nx, zeta(2 + nx), type  = "l", col = "blue")
lines(nx, zeta(3 + nx), type  = "l", col = "black")
abline(v = 0, lty = 2 ,lwd = 2, col = "magenta")
abline(v = 1, lty = 2 ,lwd = 2, col = "magenta")
abline(h = 0, lty = 2 ,lwd = 2, col = "magenta")
abline(v = 0.5, lty = 3 ,lwd = 3, col = "gold")

Correct visualization

plot(nx, zeta(.5 + nx*1i), type = "l", col = "red",
     ylab = "Function values", xlab = "Real part",
     main = expression(paste("Different real part of","", zeta, "(s)")) )
## Warning in xy.coords(x, y, xlabel, ylabel, log): menamosios dalys atmestos
## keičiant duomenų tipą
lines(nx, zeta(1 + nx*1i), type = "l", col = "green", ylim = c(-10,2))
## Warning in xy.coords(x, y): menamosios dalys atmestos keičiant duomenų tipą
lines(nx, zeta(2 + nx*1i), type  = "l", col = "blue")
## Warning in xy.coords(x, y): menamosios dalys atmestos keičiant duomenų tipą
lines(nx, zeta(3 + nx*1i), type  = "l", col = "black")
## Warning in xy.coords(x, y): menamosios dalys atmestos keičiant duomenų tipą
abline(v = 0, lty = 2 ,lwd = 2, col = "magenta")
abline(v = 1, lty = 2 ,lwd = 2, col = "magenta")
abline(h = 0, lty = 2 ,lwd = 2, col = "magenta")
abline(v = 0.5, lty = 3 ,lwd = 3, col = "gold")
legend("bottomleft", legend=c("Real part 0.5", "Real part 1",
                              "Real part 2", "Real part 3"),
       col=c("red", "green", "blue", "black"), lty=1:2, cex=0.8)

Erroneous visualization. Visualization that shows not clear what, invalid axis representation values, the meaning of visualization is unclear, wrong visualization used

plot( zeta(.5 + nx*1i), type = "l", col = "red",
      ylab = "Function values", xlab = "Real part" )
lines( zeta(1 + nx*1i), type = "l", col = "green", ylim = c(-10,2))
lines( zeta(2 + nx*1i), type  = "l", col = "blue")
lines( zeta(3 + nx*1i), type  = "l", col = "black")

Correct visualization

plot( zeta(.5 + nx*1i), type = "l", col = "red",
     ylab = "Function values", xlab = "Real part",
     main = expression(paste("Different real part of","", zeta, "(s)")) )
lines( zeta(1 + nx*1i), type = "l", col = "green", ylim = c(-10,2))
lines( zeta(2 + nx*1i), type  = "l", col = "blue")
lines( zeta(3 + nx*1i), type  = "l", col = "black")
abline(v = 0, lty = 2 ,lwd = 2, col = "magenta")
abline(v = 1, lty = 2 ,lwd = 2, col = "magenta")
abline(h = 0, lty = 2 ,lwd = 2, col = "magenta")
abline(v = 0.5, lty = 3 ,lwd = 3, col = "gold")
legend("bottomleft", legend=c("Real part 0.5", "Real part 1",
                              "Real part 2", "Real part 3"),
       col=c("red", "green", "blue", "black"), lty=1:2, cex=0.8)

Erroneous visualization. Visualization that shows not clear what, invalid axis representation values, the meaning of visualization is unclear, wrong too big x axis limits

plot( 1/zeta(.5 + nx), type = "l", col = "red",
      ylab = "Function values", xlab = "Real part" )
lines( 1/zeta(1 + nx), type = "l", col = "green", ylim = c(-10,2))
lines( 1/zeta(2 + nx), type  = "l", col = "blue")
lines( 1/zeta(3 + nx), type  = "l", col = "black")

Correct visualization

plot(nx, 1/zeta(.5 + nx*1i), type = "l", col = "red",
      ylab = "Function values", xlab = "Real part",
      main = expression(paste("Different real part of","",  zeta^-1, "(s)")) )
## Warning in xy.coords(x, y, xlabel, ylabel, log): menamosios dalys atmestos
## keičiant duomenų tipą
lines(nx, 1/zeta(1 + nx*1i), type = "l", col = "green", ylim = c(-10,2))
## Warning in xy.coords(x, y): menamosios dalys atmestos keičiant duomenų tipą
lines(nx, 1/zeta(2 + nx*1i), type  = "l", col = "blue")
## Warning in xy.coords(x, y): menamosios dalys atmestos keičiant duomenų tipą
lines(nx, 1/zeta(3 + nx*1i), type  = "l", col = "black")
## Warning in xy.coords(x, y): menamosios dalys atmestos keičiant duomenų tipą
abline(v = 0, lty = 2 ,lwd = 2, col = "magenta")
abline(v = 1, lty = 2 ,lwd = 2, col = "magenta")
abline(h = 0, lty = 2 ,lwd = 2, col = "magenta")
abline(v = 0.5, lty = 3 ,lwd = 3, col = "gold")
legend("top", legend=c("Real part 0.5", "Real part 1",
                              "Real part 2", "Real part 3"),
       col=c("red", "green", "blue", "black"), lty=1:2, cex=0.8)