library(tidyverse)AFI 2.4
Begin by loading the tidyverse package in the code chunk above and adding your name as the author.
The readr package includes functions for reading tabular data into R. Each code chuck below should read in the specified data file, storing it in an appropriately named object, and then print the data. The data are stored in the data folder.
Importing Data
Let’s start by reading in the AllCountries.csv data. Modify this code by filling in the ______ to do so:
all_countries <- read_csv("data/AllCountries.csv")
all_countries# A tibble: 217 × 25
Country LandArea Population Density GDP Rural CO2 PumpPrice Military
<chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
1 Afghanistan 653. 30.6 46.8 665 74.1 35.3 1.28 8.65
2 Albania 27.4 2.90 106. 4460 44.6 12.8 1.81 NA
3 Algeria 2382. 39.2 16.5 5361 30.5 24.6 0.29 NA
4 American Sa… 0.2 0.055 275 NA 12.7 NA NA NA
5 Andorra 0.47 0.079 168. NA 13.8 9.5 1.67 NA
6 Angola 1247. 21.5 17.2 5783 57.5 44.8 0.63 13.8
7 Antigua and… 0.44 0.09 204. 13342 75.4 16.6 NA NA
8 Argentina 2737. 41.4 15.1 14715 8.5 16.9 1.46 NA
9 Armenia 28.5 2.98 105. 3505 37 13.9 1.25 16.8
10 Aruba 0.18 0.103 572. NA 57.9 10.4 NA NA
# ℹ 207 more rows
# ℹ 16 more variables: Health <dbl>, ArmedForces <dbl>, Internet <dbl>,
# Cell <dbl>, HIV <dbl>, Hunger <dbl>, Diabetes <dbl>, BirthRate <dbl>,
# DeathRate <dbl>, ElderlyPop <dbl>, LifeExpectancy <dbl>, FemaleLabor <dbl>,
# Unemployment <dbl>, EnergyUse <dbl>, Electricity <dbl>, Developed <dbl>That was easy, right? Note that including the #| message: false at the beginning of the code chunk suppresses unneeded messages and cleans up your output for whoever reads it (me!).
Now try the minn_stp_weather.csv data:
minn_stp_weather <- read_csv("data/minn_stp_weather.csv",
skip = 17)
minn_stp_weather# A tibble: 1,388 × 12
MonthY MonthS Year LowTemp HighTemp WarmestMin ColdestHigh AveMin AveMax
<dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
1 1 1 1900 -15 51 36 -4 12.6 30
2 2 2 1900 -17 37 20 1 -1.3 18.5
3 3 3 1900 -10 54 31 8 17.2 33.9
4 4 4 1900 26 81 60 34 42.5 63
5 5 5 1900 33 90 68 50 49.9 74.1
6 6 6 1900 46 94 69 67 57.4 80.1
7 7 7 1900 51 95 69 66 60.7 81.2
8 8 8 1900 58 94 75 74 67 86.3
9 9 9 1900 36 92 70 54 52.5 70.5
10 10 10 1900 34 79 60 48 48.3 67.2
# ℹ 1,378 more rows
# ℹ 3 more variables: meanTemp <dbl>, TotPrecip <chr>, Max24hrPrecip <chr>Did you look at the data file before trying?
Now try the white_nonhisp_death_rates_from_1999_to_2013.txt data:
white_death_rates <- read_tsv("data/white_nonhisp_death_rates_from_1999_to_2013.txt")
white_death_rates# A tibble: 150 × 5
Age Year Deaths Population Rate
<dbl> <dbl> <dbl> <dbl> <dbl>
1 45 1999 8304 3166393 262.
2 45 2000 8604 3207271 268.
3 45 2001 8836 3152637 280.
4 45 2002 9217 3256317 283
5 45 2003 9287 3260376 285.
6 45 2004 9210 3211340 287.
7 45 2005 9352 3279109 285.
8 45 2006 9100 3222835 282.
9 45 2007 8805 3137876 281.
10 45 2008 8751 3074171 285.
# ℹ 140 more rowsHere’s a trickier one. Read in the deaton.txt data:
deaton <- read_table("data/deaton.txt")
deaton# A tibble: 10 × 4
age death_rate_1989 death_rate_2013 change
<dbl> <dbl> <dbl> <dbl>
1 45 262. 261. -1.6
2 46 293. 290. -3.1
3 47 306. 324. 17.6
4 48 337. 343. 5.7
5 49 359 384. 25.5
6 50 377. 422. 45.5
7 51 429 466. 37.1
8 52 445. 481. 36.4
9 53 545. 527. -18.4
10 54 555. 573. 17.4You might need to search for a function that wasn’t discussed.
Now read in the pga2004.csv data (the help page for read_csv might be useful):
pga <- read_csv("data/pga2004.csv",
col_names = FALSE)Warning: One or more parsing issues, call `problems()` on your data frame for details,
e.g.:
dat <- vroom(...)
problems(dat)colnames(pga) <- c(
"Name",
"Age",
"AvgDrive",
"DrivingAccuracy",
"Driving accuracy %",
"Greens on regulation (%)",
"Average # of putts",
"Save Percent",
"Money Rank",
"# Events",
"Total Winnings ($)",
"Average winnings ($)"
)
pga# A tibble: 210 × 11
Name Age AvgDrive DrivingAccuracy `Driving accuracy %`
<chr> <dbl> <dbl> <dbl> <dbl>
1 Aaron Baddeley 23 288 53.1 58.2
2 Adam Scott 24 295. 57.7 65.6
3 Alex Cejka 34 286. 64.2 63.8
4 Andre Stolz 34 298. 59 63
5 Arjun Atwal 31 289. 60.5 62.5
6 Arron Oberholser 29 285. 68.8 67
7 Bart Bryant 42 282. 74.2 68.9
8 Ben Crane 28 284. 64.4 64.2
9 Ben Curtis 27 282. 64.3 63.4
10 Bernhard Langer 47 282. 62.6 65.3
# ℹ 200 more rows
# ℹ 6 more variables: `Greens on regulation (%)` <dbl>,
# `Average # of putts` <dbl>, `Save Percent` <dbl>, `Money Rank` <dbl>,
# `# Events` <dbl>, `Total Winnings ($)` <dbl>Lastly, read in the noise.txt data:
noise <- read.table("data/noise.txt")
noise V1 V2 V3 V4 V5
1 -0.6745839309 0.8312876610 -1.2421219647 0.2074835357 0.2902906753
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1894 0.0379913474 0.3844639134 2.0645979332 -0.2671894024 0.9510807056
1895 -1.1343792321 -0.4149413359 -1.3843257756 0.3728284285 0.9270314692
1896 0.3959260015 -0.3401778265 -1.6490199621 -0.9955106427 1.0420951871
1897 0.1680864223 0.2001628522 0.0301041135 0.1107681730 1.5945727060
1898 0.2134548500 1.6579931239 -0.1407330180 0.3400994925 -0.7848677604
1899 1.0977945626 0.0296254335 -0.5189612679 -1.0485606147 -0.4805756549
1900 -1.2943909089 -0.3262132636 0.2701220027 0.6039876189 1.0743623806
1901 -0.6128075202 -0.0064072711 -1.1594654014 -0.2800594707 -0.0750891638
1902 0.5648503786 -0.6055469152 -0.3729105066 -0.5380117359 0.2790012553
1903 -1.3689332357 1.4804773355 -0.2015167396 0.7729438894 1.1870599082
1904 -1.3223508721 -0.1216523777 -0.1840803740 0.1825624678 -0.3815120483
1905 -0.9391805436 -0.7917333184 0.0627715367 0.0813993774 -0.9312810141
1906 -0.1233426542 -0.7306795874 -1.5300174888 0.5531531577 -2.0260808779
1907 0.9060629729 1.2351668560 -0.1801402536 0.6090381338 -0.9138422476
1908 1.1210888582 0.0814445404 -1.3850248899 -0.0677288425 0.1123428935
1909 -1.4303716783 -1.7638397987 1.0269086912 -0.3682987345 1.2877481664
1910 0.3665094589 0.4471668048 -0.5315540734 1.5500440264 -0.4821065639
1911 1.2571880173 1.0317789056 -1.3299328730 -1.1595725936 -1.5165544960
1912 0.8154475667 0.3258849585 -1.5021207138 0.5948750665 -0.8035462219
1913 -1.3161212150 -0.6006966101 0.3739591656 -0.3715091481 -0.0133129189
1914 -1.2465561383 1.3330414547 -0.4684064447 -0.5929480105 1.4552996984
1915 -0.3683768386 -1.1000525159 -1.9281456986 -1.0244464305 -0.4086458572
1916 -0.0399257039 -1.1137305941 0.6458756483 1.1134725772 0.5873543804
1917 -0.6067428780 -0.8179971617 -1.4778106824 -0.4523082738 0.6176196016
1918 -0.2166125310 0.5875394369 -0.9597988888 1.0297474125 2.3532655540
1919 1.2162494761 1.0036467289 1.4126809210 -0.0274782450 1.2514897133
1920 0.2558473902 2.0252158849 -0.4385989902 1.0984661997 -0.0996079016
1921 1.1073245566 0.3420594195 0.4208162903 1.2615199524 0.5902773663
1922 0.6511083597 -0.2570021195 0.4538810484 0.3498329217 1.4347775221
1923 -0.2583420380 0.7078137873 -0.5533988286 -1.9709942688 0.2797559755
1924 -0.6438673335 -0.1629513252 0.5199853236 0.0728057552 -0.0640506406
1925 1.3897482245 1.0232149359 -0.4521740467 -0.2297760464 0.7130522111
1926 0.9518084176 -0.2608379222 -1.4971617780 -0.1258076205 -0.9285751267
1927 -1.3400335061 0.9171530875 0.5762260694 -1.2477799076 1.3603008445
1928 0.4395037639 -0.2335171440 0.2251928310 1.7811991799 -0.9541918876
1929 0.8028791504 -1.2026700431 0.5061640897 -1.1323148583 0.1688613696
1930 -0.7110810380 -2.2459389262 1.2060826757 0.0943279118 -1.8561604379
1931 -1.2743610213 0.5861437183 0.0283790728 -0.9880120020 -0.8179707691
1932 -0.3104147237 0.1165400427 1.0104642751 1.3737465061 0.1133094270
1933 1.2245393365 0.2574956573 -0.6642837076 -0.8710627756 -0.4674818530
1934 0.1225366476 -1.2752029322 -0.4721855689 0.4940996036 -0.6568333233
1935 -0.4648309345 -2.1274727300 1.4837302779 -0.7019679105 -1.0575193256
1936 -0.1365926175 -1.1778061857 0.0870222627 1.0974879546 -0.6193502661
1937 1.3292912567 -1.0230594082 -0.3907948202 -0.6765310471 -0.8029666780
1938 0.7760314368 -0.3511739034 2.2704575407 -0.0318811615 0.5022592609
1939 0.5607156074 -0.1132352527 0.2733592662 1.5926782691 -0.4094111708
1940 0.3730589161 0.6015688505 -0.7443267767 0.3085234852 0.1902285735
1941 -1.1986453166 -0.3954051207 -0.6062253083 0.0319610512 0.4301136618
1942 2.3641991248 0.2474481681 0.8660235339 1.3285069709 0.1029955082
1943 -0.0999900067 1.9781402660 0.2070841551 0.8264503638 1.1267898472
1944 0.7017254712 -0.5319930808 1.1353725399 0.9788582595 1.2906200156
1945 -0.6099949478 0.0628260597 0.8447404503 -0.2832572285 -0.8062783367
1946 -0.4282070205 -0.0158428102 -0.3197772223 0.8232522758 0.4946854462
1947 -1.1759920630 -0.1109640571 -0.3673882200 -0.4035558973 -2.0000768306
1948 -1.2544473021 -0.6091223816 0.4673603242 0.7334797878 -0.2370660665
1949 -0.1836474325 -2.5945926526 -0.2604176971 0.4707363576 -2.0428891891
1950 -0.4114936691 0.3202602549 0.5452543515 -0.6001209759 -2.7279501621
1951 -1.0646375997 0.7240659321 -0.7787396979 -2.0990384997 0.6505593235
1952 -0.2641839483 0.7283865795 -0.6865272769 0.1853935883 0.3199852281
1953 -0.8999615718 -0.5967382161 -0.0257851962 -0.3668673619 -0.0012425915
1954 0.4742080801 -0.7808160917 1.2991708021 -0.8952783873 -0.1776982449
1955 -0.1229170005 -1.6340934442 -1.0066876631 -0.2852704203 -1.6070913809
1956 0.0523905996 0.9522458842 -0.7501869006 0.7060703814 -1.4688625839
1957 -0.6846736667 1.4064105053 -0.9269268134 0.3293818966 -1.0935266509
1958 -1.4485702790 -1.1282438092 0.4367278983 -1.8979134532 -1.1448198402
1959 1.3435217121 -2.1904117479 0.8390253154 0.5449821775 0.8544664988
1960 0.2035463747 -2.1904999651 -1.2254012416 0.5045439527 0.0314003239
1961 -0.4949693244 -0.5821797989 -0.0362476266 2.2743175691 -1.5073294349
1962 -0.0068597976 -0.9114543510 -1.4555014008 -0.8714393799 -1.6030716577
1963 0.7047220663 -1.2005635291 -0.1739674310 0.9669195259 -1.2428825847
1964 0.9620399062 -0.4617622613 2.3426713622 0.8353942051 0.3454142286
1965 -1.7185380370 0.4917220901 -1.2157775129 -0.7649547705 -0.6881937939
1966 0.5784850079 1.3505710606 -0.5388075263 0.8199782178 -0.6358147574
1967 -1.0970251136 0.2916487532 -1.9658872633 0.4651019808 0.4134884561
1968 -0.6649378079 0.7252997736 -0.5761156013 0.1522609550 1.2188537501
1969 1.9003836411 -1.8697533200 0.0893871292 0.4078747386 -0.1267066587
1970 -1.1638714620 0.3745021036 -0.9363400775 1.3132969691 0.2589192333
1971 -0.6037036593 0.1052394859 -0.3992738696 -0.4201390610 0.0624275384
1972 0.6649135958 -0.4752770435 -0.0363198172 -0.7291404859 -1.7110246264
1973 -0.4914969183 -0.2153711813 -0.7228082563 0.3831768175 -0.7352057673
1974 0.5332121507 -0.1519207599 -1.2569762204 0.9389202887 0.7497717562
1975 0.2042843590 0.7287913327 0.5227125185 1.6046812545 0.1781651482
1976 0.5860879624 -1.0247381472 0.1300452204 1.7516450983 -0.3896000188
1977 0.0743472580 -1.1248363894 0.3343337189 -1.4551189774 -0.2117406057
1978 0.5729040813 0.4467242004 0.7881822932 -0.4533542660 0.0238152602
1979 -0.9278390961 -2.2916716392 1.7628141967 0.2785916154 -1.0450454755
1980 -1.3014815268 -1.1035193185 -0.3765201293 0.3970934750 -1.0975975655
1981 -0.9974446929 -0.6963848081 -0.4424339657 0.2229483947 0.1193099167
1982 -1.4224932699 -0.0219013239 -0.4539499010 2.6391158752 1.1563414709
1983 0.1141159059 -0.5601059449 -1.2115376593 -0.4165062920 0.7537989103
1984 -0.2593989475 -0.9687526107 1.6408754099 0.4141406338 -1.3796790921
1985 0.5983085293 0.7491472452 -0.1315480340 1.9904926709 0.0409727572
1986 1.0025984251 -1.2121355406 1.3688631065 0.4646031410 -1.3792469116
1987 -1.3842103995 -0.2206870780 0.1071937994 -1.2594450812 1.4614464408
1988 0.8720238358 -0.1038975840 -2.8474349737 -0.6627889442 1.1383710782
1989 0.8962335688 0.5617907664 -1.1521358594 0.2777139137 -1.9586187386
1990 -0.6937620300 -0.0396494127 0.8927295213 -0.9092674047 -0.4846858679
1991 -0.7545547097 1.5500702236 -1.1720089903 -0.4720367971 1.2236068861
1992 0.9986781243 -1.2698087213 1.0608847052 -1.9824958867 -0.6595292176
1993 -0.0282099433 0.9005598580 0.1642505105 -1.9648058345 0.3563407892
1994 0.5800463680 1.0238696830 2.0946756034 -1.5430273711 0.1260637457
1995 0.2181889387 -0.1305653693 0.4562445823 0.1048867944 -1.7017531336
1996 -0.2600764821 -0.5225799675 -0.5941268410 -0.1287741893 0.9127724822
1997 0.2196063339 1.4541269528 0.9803042395 -0.7377544709 1.2705235650
1998 0.6583248570 0.0271624419 -0.4762571942 1.1679903042 -0.8601316570
1999 -0.2830489865 -2.3047250025 -1.3707446903 0.1941744460 0.4919068228
2000 -0.4155092816 0.8017902555 -0.1382261653 -0.6645324639 -0.3658330631
2001 -0.1028697759 -0.0677728036 -0.9465145392 1.2589236241 -0.9824289893
2002 -0.1930150261 1.1807693716 1.4159247078 -1.7495584290 -0.1705158663
2003 0.5846758706 1.5685387714 1.1540219114 1.5136195102 1.2472405249
2004 1.5994448936 -0.9658423076 -0.9369319740 -1.0203290543 -1.3352265433
2005 0.0559114742 1.4340408203 -0.7487186321 -1.8510965917 1.3821246772
2006 -0.2346033804 0.4430805242 0.6130759343 -0.0627639526 -0.7526626828
2007 -0.4468046584 0.1216542097 -0.0577995466 1.0703775589 -0.0750674470
2008 -0.7957778699 0.8280347098 -1.1793529437 1.0704131879 0.5990140359
2009 0.4356878208 -0.6041640883 0.1686939245 0.2270356029 1.1637359717
2010 -1.7453136331 0.8705864547 0.1480967698 0.5862575091 -0.8120771897
2011 0.2351270994 0.3139915759 -0.0716811199 -0.4250872028 0.7830237098
2012 0.1970060382 -1.4394197598 -0.3987165660 -0.2019082590 -0.2237475145
2013 -0.9476597492 0.2395661255 0.1323998381 0.8210240637 0.1048413145
2014 0.2552169396 -0.5680235192 0.3266266867 1.0016283742 -0.0921985243
2015 1.2347921786 -0.5377642615 1.1678255060 0.8847385010 -0.8361551959
2016 0.5990238511 -0.2670927079 -0.3799042490 1.3828823056 0.2438578084
2017 -1.4288586732 0.0642492966 -1.2786996541 -0.7733690034 -1.0024065871
2018 0.5332066735 1.1155356129 -0.6040061835 -0.3189946246 -0.1942393465
2019 -1.0044883023 1.0979959002 -0.9966087880 0.1704588073 -0.0424031619
2020 -0.3712162439 0.7143852434 0.3130989795 0.0061693353 -0.8140950407
2021 2.0540273345 0.7880188818 -0.5941915064 0.6308758168 0.2002740170
2022 1.5046175766 1.7735306347 -0.3831370993 1.7121312458 2.7800640276
2023 0.3928884218 -0.4677468539 -1.4781798343 -1.7118021408 1.9518297459
2024 -1.9174465213 0.0716221918 -1.9190626224 -1.1126084714 0.7494242087
2025 0.3931727012 -1.4825321471 0.3244011646 1.7983993375 0.1743370906
2026 -0.0193739171 -0.9206201077 0.3742837691 -1.2643760765 0.0086052106
2027 -0.1629505186 1.6238100307 -0.3884387455 0.9201436305 -0.3235788721
2028 -0.8640200998 0.0495765680 -1.0505620010 -0.5879828373 -0.1092677369
2029 -0.3351440806 -1.5705135253 -0.2328256194 0.2485992502 -0.5949851288
2030 1.9359339764 -1.6247681360 -0.7629278288 0.5207597665 -0.7174261862
2031 -0.8598983854 -0.9577253991 -0.0882543993 -0.1771786976 2.4001952783
2032 -0.6613395605 2.2146220836 0.9635051960 -0.5504896479 0.9739801477
2033 1.6705227879 0.0947968439 -0.9445722230 -0.6362348751 -0.2370625505
2034 0.1557634578 -0.8607575648 0.1528779050 0.4441124118 -0.4963527586
2035 -0.4212218243 1.0356497094 0.3294162690 -0.0821598421 0.7208496031
2036 0.7384327253 0.3131709754 -2.0290200495 -0.4070952726 1.4274246006
2037 -0.1683235103 -0.9144467765 0.5581318799 1.2433748867 -0.1808583295
2038 -0.3129953579 -1.5661895900 -0.2614646620 -0.1169697788 0.0408281369
2039 0.6041034225 0.2287871868 0.2066687650 0.6360073195 0.3982280692
2040 0.6646119543 -0.2876840919 0.3850129053 0.5077134963 1.0325788154
2041 -0.0973168683 0.2783295477 0.8772997409 0.7546005582 0.8209209926
2042 1.4138087042 -0.6268703157 -0.3619277631 0.0164422828 -0.4807565814
2043 -2.0150236360 -0.0728876682 -0.2339119408 -2.1592682030 1.6674898559
2044 0.2697776341 -0.9501000968 0.0241626415 0.4449957388 -0.6301848976
2045 -0.0908622074 -0.1504868834 1.2398749564 -1.2226084301 -0.7196671837
2046 -1.2397668052 -0.9440074054 0.1526938279 -1.7636338853 1.0666176642
2047 0.1580876376 0.2127191445 -0.9485861276 0.0317529799 0.6100119886
2048 -1.0182210465 -1.7755780167 0.5346393928 0.1022372883 0.3477566578
2049 1.2107166710 -0.2352905710 2.2041122489 0.5799696398 0.1009094393
2050 -0.6982850212 -0.8335535911 0.0203389939 1.0259974674 0.6478321112
2051 0.2048816189 -0.9760367108 0.9604293048 -0.6490161224 -0.8631252545
2052 -0.0558774526 1.7300045953 0.0689066959 -0.6765604214 1.4133051560
2053 -0.2999012876 -1.6444757754 -0.5724128797 -0.7662003032 0.5680585833
2054 0.0282040324 0.0107798868 1.5372022144 0.1887851329 -0.0520048464
2055 -0.2061466012 -0.1678731329 -0.4636754561 0.9493741506 -0.3475487114
2056 0.7596234197 -1.3656571489 -0.0499421343 -0.2997711002 -0.9895042433
2057 2.5753240378 -0.9883678649 0.3864255141 0.7774868757 0.1922364248
2058 -1.5225714761 -0.2512076456 -0.3690324977 0.9760670041 0.2861568969
2059 -0.8791295722 0.6297963151 0.1234162014 1.1383977408 1.1105909235
2060 -1.0851671127 0.1438538952 1.5561651688 0.4853112336 1.9153617469
2061 -1.0079888634 -0.7580528317 -0.9321358281 -1.1865002500 2.2419492237
2062 0.7856971837 0.4279569282 -0.3249754635 1.7477382217 0.3604267161
2063 1.3511893353 0.1464858336 -1.8717400989 -0.4810480640 -0.4107975778
2064 0.0357645275 -0.7894530997 0.1166701387 -1.0498490838 1.7626419760
2065 0.8572807648 1.3695466594 0.6522494349 1.0934342028 0.7501029675
2066 -0.0310117297 0.3316794539 -0.7683847415 0.4071062716 -0.4708200583
2067 -0.7271731580 -0.7092518700 0.2518381959 0.8195650430 -0.5091327051
2068 -2.2343410127 -0.3560290428 -1.1278985489 0.0041472182 1.5884281499
2069 0.8637086210 1.6551579267 0.4356596784 -1.0799609726 -2.2295235570
2070 -0.5729600040 -0.1237710207 -0.4817043720 -1.4816554643 -1.1687472803
2071 0.9569756714 -0.0996959649 -0.2627073516 0.0608967827 -0.0895335069
2072 0.8555356525 -1.7188720018 0.2465102542 -0.1897066898 -1.7997483872
2073 0.4095203880 -0.9892220457 -0.1083370601 -2.6444743205 0.5060440790
2074 -0.1826133592 -0.6342741805 0.1567756252 0.0019370776 0.5105887876
2075 -0.3033404297 -0.4858916049 0.1422867597 0.7688533620 -0.3863955614
2076 -0.9470858238 0.1740782215 0.4112987776 1.5354983802 0.6697335109
2077 -0.5915039992 -0.2607506877 1.4769134402 0.0734581261 0.0022105410
2078 1.2541902901 0.9879471467 -0.2310320382 -0.0228326370 0.7945048822
2079 0.3630438445 -0.5487456634 -0.0966415456 -1.5674164005 -0.6859669975
2080 -0.4738845065 -0.7514224058 -0.5109306816 -0.6574986084 -1.3827288030
2081 -0.8212405765 -0.8647797753 -0.7146855940 1.0360107265 0.3548164131
2082 -0.2888128861 1.0450094370 0.4170327383 1.7829092585 -0.2639365524
2083 -0.4575703878 -0.1036907944 -1.0411928835 0.0108331394 0.4939846182
2084 1.8806481227 -1.6272669527 1.3397101594 -1.2528926452 -1.0906574978
2085 0.4200340859 -0.7083990466 0.0222228449 -1.9829833194 -0.7001030604
2086 -1.2870439164 -2.6509415945 0.5649478852 -0.6733187288 0.3836718206
2087 -0.8742700765 -0.0325014243 -0.3431726455 -1.4075688229 0.3206226102
2088 -0.8961824332 -0.5743534211 -0.0496467182 -0.4653289863 1.7254498613
2089 0.6400317957 -0.8497713143 -0.5739465919 -0.8659994471 0.2908361324
2090 1.1877482082 -0.4847438458 1.5484163540 -0.3450145904 0.3722161196
2091 -0.7243823792 -0.6376664616 -0.5542590744 0.1448286201 1.7278770156
2092 0.7051028006 1.3829406867 2.7286105428 -1.1376288891 -1.6913428652
2093 1.7091446034 0.2864197271 -1.0059218876 0.1834510882 1.1343702945
2094 0.6173367546 -0.2047253847 -0.4281226421 -0.1123830202 0.3577842568
2095 -1.1570413720 -0.5783514937 -1.5392467698 0.1959753279 -1.2200925105
2096 -0.9865071674 1.1523421679 0.6085591677 0.6331688993 1.5728600499
2097 -0.3803389069 1.2247913884 1.3957695658 0.5923046964 1.2100479056
2098 0.1024660518 0.4048266253 -0.1522827942 -0.6105688013 0.4161747659
2099 0.2154743603 0.3438290042 0.0845592776 -0.4311598556 -0.0653142595
2100 -0.1081403037 -0.4911092225 -0.5634254287 1.1668909157 -1.3443833888
2101 -0.6354141928 0.9358754597 0.5172678673 2.1841926349 0.3956666213
2102 0.4809311251 -2.3254283791 2.2037535310 1.1219373375 0.5295958085
2103 -0.7918760333 2.0392411287 0.2923986021 0.2139523818 -1.1111106531
2104 0.1586118590 -2.2351823563 -0.9430872898 -0.7109852140 0.4158009863
2105 1.6115244650 1.1796677438 0.9510325824 -0.0570157989 1.7197281011
2106 -1.4973789398 0.6916860873 1.1015378184 -0.1168520379 -0.2732492441
2107 0.9898619048 -1.2587310359 -0.1771243799 -1.2045803532 0.3131944087
2108 0.3590344040 1.2484257595 -0.8483610702 1.5578429970 0.1745428707
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