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ctesta01/data.csv

Created January 13, 2023 16:17
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A secret message! Level 3
Raw
data.csv
msg X1 X2
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msg5 0.687615587846763 0.255021713215259
msg5 0.689386241235647 0.39382204988472
msg5 0.691992636626058 0.355334543065394
msg5 0.696598414795244 0.261933753405995
msg5 0.694888615347664 0.40052328461729
msg5 0.698001981505945 0.353896457765668
msg5 0.706002311756935 0.269512699493967
msg5 0.714564068692206 0.282018477520436
msg5 0.71685656098635 0.255154405086285
msg5 0.71791926149588 0.308065719475801
msg5 0.721435443110677 0.324552778106859
msg5 0.719616908850726 0.284877384196185
msg5 0.724607368266549 0.340463215258856
msg5 0.724983487450462 0.252384196185286
msg5 0.725792602377807 0.698514134877384
msg5 0.725792602377807 0.405096219346049
msg5 0.726711300588447 0.671004149120634
msg5 0.72802494181292 0.724876735435319
msg5 0.731541123427718 0.741421336334558
msg5 0.734214002642008 0.258133940735695
msg5 0.73471304858359 0.757356948228883
msg5 0.730564729194188 0.407050408719346
msg5 0.735089167767503 0.669243869209809
msg5 0.735898282694848 0.821989952316076
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msg5 0.740670409511229 0.823944141689373
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msg5 0.753489652135623 0.680810626702997
msg5 0.760590660012721 0.289659652840852
msg5 0.76228533685601 0.693013453678474
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msg5 0.774741991413474 0.275070248637602
msg5 0.776762124929232 0.300896911898274
msg5 0.779783135182739 0.321138453678474
msg5 0.78008847250226 0.254189373297003
msg5 0.781935270805812 0.707995572207085
msg5 0.782598775069053 0.345148005945009
msg5 0.781093130779392 0.287338215258856
msg5 0.78437531754903 0.670437277300356
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msg5 0.790075957727873 0.745776566757493
msg5 0.790481432555409 0.319039509536785
msg5 0.792302950242184 0.771446412352407
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msg5 0.806638044914135 0.255962619209809
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msg5 0.816026346690151 0.262842491674236
msg5 0.818396814912667 0.716461045514179
msg5 0.819270145310436 0.669418426430518
msg5 0.818293751076905 0.776489752399005
msg5 0.820599840088994 0.739986376021798
msg5 0.822732276530163 0.763147138964578
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msg5 0.825820123293703 0.75311080835604
msg5 0.826849405548217 0.770674386920981
msg5 0.833586525759577 0.676909485694823
msg5 0.838319933494283 0.301429343230292
msg5 0.843277819714412 0.684455689632801
msg5 0.847268249956924 0.308365898308145
msg5 0.845791941875826 0.284205722070845
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msg5 0.855482166446499 0.32185016462307
msg5 0.85923351747328 0.7095878746594
msg5 0.8610964332893 0.264032697547684
msg5 0.86446499339498 0.33573537774385
msg5 0.86522692960936 0.252659108602569
msg5 0.86825462351387 0.290543499416115
msg5 0.870961502170221 0.265438886726353
msg5 0.871152575957728 0.314543596730245
msg5 0.873447820343461 0.345153269754768
msg5 0.869237120211361 0.332356948228883
msg5 0.879062087186262 0.270510473433243
msg5 0.888044914134742 0.278182476158038
msg5 0.897464406282108 0.286775280048441
msg5 0.905748568912373 0.295087420526794
msg5 0.911624834874505 0.30528780653951
Raw
script.R
# for this challenge, download the data, read it in, and plot it in ggplot2 but use a
# facet wrap to get each of the distinct messages
# you might start with something like this before adding the facet_wrap:
library(tidyverse)
df <- readr::read_csv("data.csv")
ggplot(df, aes(x = X1, y = X2)) +
geom_point() +
theme_void()
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