Estadísticas de imágenes satelitales

Se buscan estadísticas básicas (summaries) de información de imágenes satelitales

VE-CC-AJ

DataIntelligence

date: 21-07-2021

0.1 Lectura tabla madre

Esta tabla es la que contiene la información comunal, provincial y regional asociada a una columna llamada Parcela_ID y es la que tenemos que unir a cada tabla sobre la que deseamos obtener las estadísticas básicas (sumaries).

malla_sf <- read_sf("../../../archivos_grandes/mallas 1 kms chile/Malla_1km_Chile_GCS_xComuna.shp")
malla_df <- as.data.frame(malla_sf) 
abc <- head(malla_df,5)
kbl(abc) %>%
  kable_styling(bootstrap_options = c("striped", "hover")) %>%
  kable_paper() %>%
  scroll_box(width = "100%", height = "300px")
Malla1k Malla2k Malla4k Malla8k Malla16k Parcela_ID REGION NOM_REGION PROVINCIA NOM_PROVIN COMUNA NOM_COMUNA geometry
1 0 0 0 0 1 12 REGIÓN DE MAGALLANES Y DE LA ANTÁRTICA CHILENA 122 ANTÁRTICA CHILENA 12201 CABO DE HORNOS POINT (-68.73185 -56.5077)
1 0 0 0 0 3 12 REGIÓN DE MAGALLANES Y DE LA ANTÁRTICA CHILENA 122 ANTÁRTICA CHILENA 12201 CABO DE HORNOS POINT (-67.27731 -55.97484)
1 0 0 0 0 4 12 REGIÓN DE MAGALLANES Y DE LA ANTÁRTICA CHILENA 122 ANTÁRTICA CHILENA 12201 CABO DE HORNOS POINT (-67.2613 -55.97462)
1 2 0 0 0 5 12 REGIÓN DE MAGALLANES Y DE LA ANTÁRTICA CHILENA 122 ANTÁRTICA CHILENA 12201 CABO DE HORNOS POINT (-67.30974 -55.96631)
1 0 0 0 0 6 12 REGIÓN DE MAGALLANES Y DE LA ANTÁRTICA CHILENA 122 ANTÁRTICA CHILENA 12201 CABO DE HORNOS POINT (-67.29373 -55.96609)

0.2 Lectura tabla 1

http://ide.dataintelligence-group.com/descargas_gee/indice_ndgi.csv

tabla <- read_csv("../../../archivos_grandes/4_indice_ndgi.csv")
## 
## -- Column specification --------------------------------------------------------
## cols(
##   .default = col_double()
## )
## i Use `spec()` for the full column specifications.
abc <- head(tabla,5)
kbl(abc) %>%
  kable_styling(bootstrap_options = c("striped", "hover")) %>%
  kable_paper() %>%
  scroll_box(width = "100%", height = "300px")
Parcela_ID 2000_04 2000_05 2000_06 2000_07 2000_08 2000_09 2000_10 2000_11 2000_12 2001_01 2001_02 2001_03 2001_04 2001_05 2001_06 2001_07 2001_08 2001_09 2001_10 2001_11 2001_12 2002_01 2002_02 2002_03 2002_04 2002_05 2002_06 2002_07 2002_08 2002_09 2002_10 2002_11 2002_12 2003_01 2003_02 2003_03 2003_04 2003_05 2003_06 2003_07 2003_08 2003_09 2003_10 2003_11 2003_12 2004_01 2004_02 2004_03 2004_04 2004_05 2004_06 2004_07 2004_08 2004_09 2004_10 2004_11 2004_12 2005_01 2005_02 2005_03 2005_04 2005_05 2005_06 2005_07 2005_08 2005_09 2005_10 2005_11 2005_12 2006_01 2006_02 2006_03 2006_04 2006_05 2006_06 2006_07 2006_08 2006_09 2006_10 2006_11 2006_12 2007_01 2007_02 2007_03 2007_04 2007_05 2007_06 2007_07 2007_08 2007_09 2007_10 2007_11 2007_12 2008_01 2008_02 2008_03 2008_04 2008_05 2008_06 2008_07 2008_08 2008_09 2008_10 2008_11 2008_12 2009_01 2009_02 2009_03 2009_04 2009_05 2009_06 2009_07 2009_08 2009_09 2009_10 2009_11 2009_12 2010_01 2010_02 2010_03 2010_04 2010_05 2010_06 2010_07 2010_08 2010_09 2010_10 2010_11 2010_12 2011_01 2011_02 2011_03 2011_04 2011_05 2011_06 2011_07 2011_08 2011_09 2011_10 2011_11 2011_12 2012_01 2012_02 2012_03 2012_04 2012_05 2012_06 2012_07 2012_08 2012_09 2012_10 2012_11 2012_12 2013_01 2013_02 2013_03 2013_04 2013_05 2013_06 2013_07 2013_08 2013_09 2013_10 2013_11 2013_12 2014_01 2014_02 2014_03 2014_04 2014_05 2014_06 2014_07 2014_08 2014_09 2014_10 2014_11 2014_12 2015_01 2015_02 2015_03 2015_04 2015_05 2015_06 2015_07 2015_08 2015_09 2015_10 2015_11 2015_12 2016_01 2016_02 2016_03 2016_04 2016_05 2016_06 2016_07 2016_08 2016_09 2016_10 2016_11 2016_12 2017_01 2017_02 2017_03 2017_04 2017_05 2017_06 2017_07 2017_08 2017_09 2017_10 2017_11 2017_12 2018_01 2018_02 2018_03 2018_04 2018_05 2018_06 2018_07 2018_08 2018_09 2018_10 2018_11 2018_12 2019_01 2019_02 2019_03 2019_04 2019_05 2019_06 2019_07 2019_08 2019_09 2019_10 2019_11 2019_12 2020_01 2020_02 2020_03 2020_04 2020_05 2020_06 2020_07 2020_08 2020_09 2020_10 2020_11 2020_12 2021_01 2021_02 2021_03 2021_04 2021_05
267847 0.1258471 0.1066222 0.2293803 0.0831130 0.0472291 0.3384963 0.1719201 0.5899067 0.6928049 0.6493834 0.4953341 0.4961861 0.3049411 0.2518476 0.0537644 0.1957048 0.2586991 0.4995848 0.4091685 0.6500114 0.7165501 0.5279150 0.6567320 0.3424967 0.4514693 0.0901429 0.1360734 0.1890924 0.2933352 0.0930897 0.5407569 0.5617932 0.5612413 0.3416005 0.6581128 0.3902457 0.2895282 0.4995158 0.0756109 0.1368246 0.2922525 0.3330983 0.3473100 0.3453798 0.3252006 0.5467526 0.5823506 0.4155908 0.3400275 0.0906226 0.0109188 0.3360478 0.1472678 0.3908311 0.2460810 0.6552235 0.5270876 0.3756698 0.6659249 0.3807061 0.2385949 0.1561000 0.2037255 0.2131417 0.1668757 0.3566980 0.3366054 0.4093588 0.4151637 0.6338996 0.5796109 0.4962114 0.3380627 0.2129941 0.1497982 0.1507107 0.2626836 0.1650982 0.4948174 0.5971427 0.4441610 0.7838318 0.4759408 0.4527297 0.5154772 0.1794797 0.1645030 0.2431840 0.4115733 0.5684519 0.4693378 0.5373346 0.6038097 0.7491623 0.4791336 0.3079312 0.3168190 0.2050710 0.1331366 0.2719072 0.2603540 0.4374405 0.5226590 0.7069263 0.6520431 0.6181098 0.5306580 0.6567264 0.5578275 0.2281150 0.3876001 0.1725591 0.2200692 0.4211202 0.3379284 0.2086906 0.7437432 0.5268391 0.3948167 0.3426430 0.1864559 0.2241652 0.1930349 0.1088820 0.3065698 0.1499617 0.6269324 0.6533970 0.4719908 0.4155228 0.7093649 0.2395347 0.4033240 0.4105641 0.1644046 0.1313090 0.1470022 0.2015395 0.5328532 0.4057155 0.6773311 0.6508635 0.3835748 0.3608338 0.1346818 0.0989063 0.1876326 0.3599186 0.2065777 0.3416605 0.5503016 0.2245619 0.2786363 0.6895414 0.3345416 0.3384368 0.7347342 0.2546951 0.0789068 0.3358597 0.2034124 0.2313789 0.5798241 0.6906303 0.6977813 0.7306239 0.2865096 0.3878020 0.2631609 0.2943164 0.2653514 0.4686905 0.3614335 0.3075573 0.4357900 0.4436680 0.4630274 0.4099583 0.4426965 0.3304565 0.3060642 0.1295204 0.1385141 0.0690759 0.2581398 0.3433666 0.8476980 0.5524307 0.6428121 0.6135572 0.3872745 0.6914508 0.4070049 0.4063463 0.2021537 0.1092644 0.1381908 0.4717962 0.5894028 0.6264352 0.5369205 0.4812799 0.6292396 0.3547386 0.5118440 0.2298790 0.1563758 0.3442996 0.4792075 0.3286034 0.3348625 0.4363654 0.6007677 0.5415169 0.4781482 0.5422564 0.2667023 0.1955426 0.2890420 0.2288287 0.2048617 0.2878368 0.6043518 0.5371665 0.7128938 0.6783124 0.4719378 0.4364414 0.1697154 0.3035273 0.0798120 0.2404646 0.2204375 0.6126667 0.1215987 0.6261218 0.5577145 0.5142868 0.7341693 0.3218056 0.4550553 0.1646114 0.0422123 0.3116624 0.0981813 0.1603259 0.5980756 0.4676077 0.6906844 0.6911135 0.7249860 0.2859546 0.4600493 0.2066408
267715 0.3803689 0.4953081 0.7406526 0.3619543 0.3860795 0.6294131 0.5921026 0.6543641 0.5615683 0.7336177 0.7599821 0.7662988 0.7622109 0.5428140 0.1843117 0.6696398 0.7125977 0.7518304 0.7167495 0.4811070 0.7590530 0.7519214 0.7480695 0.3540315 0.5687980 0.6864725 0.7345935 0.4502956 0.4433477 0.4180194 0.6933325 0.5780419 0.6528400 0.4323639 0.6296281 0.7366098 0.5931745 0.6573642 0.6284431 0.7054363 0.6637206 0.6949214 0.5297132 0.5812843 0.3473749 0.7346623 0.7569644 0.5946566 0.5323520 0.7522153 0.6657032 0.6735419 0.5759336 0.4047080 0.6085081 0.7411004 0.5692191 0.6158311 0.7483586 0.5676332 0.7323827 0.7511101 0.4347810 0.6872249 0.5853032 0.7861119 0.4090078 0.6421382 0.7532185 0.7505715 0.6947215 0.6387549 0.7393597 0.6142517 0.4656430 0.7339821 0.7445719 0.6845271 0.6791663 0.6398938 0.4964411 0.7716882 0.7372404 0.7326901 0.7183756 0.6313543 0.6935020 0.4470375 0.6789395 0.6017635 0.6568784 0.6345382 0.6301240 0.6596071 0.7597545 0.7212815 0.6736704 0.7370616 0.7110961 0.6502936 0.7554785 0.6480942 0.5324999 0.7450841 0.7300774 0.7345454 0.5501626 0.6067423 0.5545308 0.7245104 0.4872499 0.6061149 0.5072575 0.6001078 0.5198085 0.3753437 0.5137647 0.6899447 0.6154998 0.7555028 0.4352412 0.6020875 0.3549937 0.7200402 0.7649539 0.5381710 0.7430649 0.7511140 0.5933096 0.6973152 0.7589871 0.6210902 0.5548609 0.5986987 0.6353831 0.5704029 0.7295566 0.5767723 0.5751059 0.5785169 0.7430939 0.6602786 0.5224018 0.7557011 0.7435826 0.3467218 0.6595703 0.6146256 0.7223920 0.5835164 0.5141358 0.7238749 0.3815865 0.7712997 0.6101209 0.7889541 0.7610474 0.4964167 0.6056800 0.5317398 0.6635815 0.7638291 0.4556492 0.7599977 0.7656948 0.7335353 0.6220990 0.6460949 0.6331232 0.6714994 0.7289367 0.6810383 0.6054162 0.5694965 0.6998549 0.5945965 0.7162827 0.7387602 0.7686483 0.7389629 0.5645342 0.5810977 0.6882061 0.5332808 0.4772924 0.4175624 0.7768647 0.7185197 0.6955115 0.7689456 0.7379485 0.7601116 0.6982134 0.7673644 0.6575910 0.6385709 0.7586733 0.7091134 0.6304874 0.7695605 0.5582016 0.6241372 0.7160947 0.7543954 0.4481445 0.7858437 0.2301559 0.7891467 0.6004363 0.7490807 0.5921217 0.6195411 0.7377508 0.6280348 0.7108398 0.7629775 0.6383976 0.6793770 0.7627268 0.7995757 0.7363972 0.5567889 0.5434169 0.6020768 0.5832573 0.7229834 0.5559547 0.7036030 0.4368655 0.4547091 0.7743116 0.7636283 0.6884515 0.5059515 0.5977126 0.7673095 0.5883397 0.6383568 0.7324539 0.7150117 0.7598670 0.7788633 0.5691868 0.8386500 0.6716898 0.7849282 0.7711988 0.6034966 0.5957400 0.7427678 0.7703298 0.6671923 0.6130629 0.7335565
267714 0.4832253 0.7001022 0.5119658 0.5606434 0.4073254 0.5019460 0.6254296 0.7017722 0.5415684 0.7333316 0.7317972 0.7520840 0.7438636 0.5072703 0.1411277 0.5407146 0.5382130 0.7298792 0.5016331 0.5720743 0.7139168 0.7453774 0.7345882 0.4419222 0.6505530 0.6219487 0.6781468 0.4684619 0.3822936 0.5035958 0.4779235 0.5201857 0.5009612 0.4186213 0.5985887 0.7388042 0.6873236 0.5949165 0.5822643 0.6527109 0.5241590 0.7474362 0.5051515 0.5333118 0.3345726 0.6915054 0.7304378 0.5521908 0.5131022 0.7122776 0.6498092 0.6460512 0.5738261 0.4680555 0.4527810 0.7239487 0.5711970 0.6373602 0.7267185 0.5809932 0.5741698 0.7165073 0.5083452 0.6489635 0.5898392 0.7456431 0.4344001 0.6412764 0.6082785 0.5450215 0.7495195 0.6824127 0.7196606 0.5908524 0.4731450 0.7210342 0.6967678 0.6541250 0.7138851 0.5077022 0.5623289 0.7289053 0.7362868 0.6383318 0.5018267 0.6594731 0.6828135 0.5570596 0.6833439 0.6025414 0.6885842 0.6053234 0.5752304 0.6423074 0.7636981 0.7161417 0.6274074 0.7230224 0.6431884 0.6798402 0.7178873 0.6177576 0.6814353 0.6798141 0.7164967 0.7193025 0.5877429 0.5503296 0.5120105 0.7111018 0.4502046 0.6194145 0.4648879 0.6956431 0.4798481 0.2784416 0.5132268 0.6986545 0.5838797 0.7638143 0.5947384 0.6627544 0.4267037 0.7198342 0.7434961 0.3976694 0.7277696 0.7330618 0.6692562 0.6427289 0.7127151 0.6767339 0.6239269 0.5737414 0.7147806 0.5656886 0.7008867 0.5131056 0.6640644 0.5600390 0.6999553 0.6855488 0.4554106 0.7462358 0.7002122 0.3561364 0.7047815 0.7160888 0.7055461 0.5866667 0.3200547 0.6824782 0.4257341 0.7314172 0.5031608 0.7737274 0.5504660 0.4722282 0.5227781 0.5215142 0.6491230 0.7005247 0.5564200 0.6987144 0.7148175 0.7711282 0.5935452 0.7339520 0.7427342 0.6421747 0.5624478 0.6062445 0.5518090 0.6143821 0.6732137 0.6695538 0.7034719 0.6917796 0.7175752 0.6567807 0.4038758 0.5603628 0.6483873 0.5290865 0.4995715 0.4336492 0.7392876 0.6704941 0.7022923 0.7546397 0.7562395 0.7604392 0.7547077 0.7338901 0.6112041 0.5642493 0.6157033 0.6757613 0.6575307 0.7513207 0.5979299 0.6730503 0.7603712 0.7526435 0.6386701 0.7844878 0.1559307 0.7911018 0.5750449 0.6710805 0.5349989 0.6359656 0.5406938 0.7234538 0.7100227 0.7581108 0.7002782 0.6602722 0.7215952 0.7085735 0.7249825 0.4203996 0.6979436 0.5848296 0.5695161 0.6715075 0.5682902 0.6587518 0.4217949 0.5526923 0.7206565 0.7379491 0.6379071 0.5235019 0.6251909 0.7268035 0.6124780 0.7183365 0.7292267 0.7301006 0.6902454 0.7560465 0.6799614 0.7465114 0.6356588 0.7718080 0.7177662 0.7003960 0.7438958 0.7417671 0.7417676 0.6287631 0.6550280 0.6948635
267713 0.2611426 0.3952597 0.5831253 0.4137798 0.3264628 0.5114615 0.5113319 0.4604856 0.4882748 0.6102145 0.5873494 0.6427411 0.6069465 0.4137424 0.1235177 0.4606529 0.5042201 0.4665904 0.4841545 0.4650506 0.5160873 0.5669175 0.5587608 0.4001842 0.5264497 0.3886149 0.4817135 0.3837391 0.3274481 0.3176227 0.3663595 0.3816876 0.4981895 0.3114367 0.4694761 0.5955925 0.6050789 0.5044143 0.4524501 0.5398530 0.3931352 0.5687568 0.4452681 0.4091398 0.2589007 0.6542674 0.5764731 0.4299070 0.4519315 0.5196996 0.4653238 0.4338787 0.4938052 0.4213875 0.3373146 0.6109650 0.4104663 0.5812605 0.5559058 0.5039039 0.4409546 0.6111587 0.4691932 0.4860886 0.5080923 0.5870042 0.2137108 0.4226560 0.4346822 0.4992716 0.5760119 0.6600430 0.6657764 0.5101290 0.3982593 0.4844986 0.5786549 0.5681861 0.6229075 0.5103269 0.4132960 0.5861939 0.6023065 0.4139189 0.5424094 0.4793252 0.4591969 0.4401011 0.5257943 0.5578207 0.3955604 0.4321623 0.5262471 0.6232731 0.4614808 0.5079735 0.4191965 0.5737010 0.4000303 0.5531973 0.6383230 0.5164936 0.5951695 0.5667709 0.5005260 0.4769976 0.4897742 0.4956104 0.4973722 0.4972640 0.4227006 0.4079544 0.3865521 0.5790411 0.5680041 0.2658599 0.4893597 0.5797191 0.6596422 0.5595952 0.3061600 0.4932427 0.3003543 0.5527586 0.5957623 0.2844815 0.5320678 0.5027245 0.3520231 0.5493377 0.5440265 0.6110618 0.5244377 0.4172890 0.5406562 0.4797075 0.5511391 0.4639056 0.4699818 0.4668714 0.4362587 0.4756033 0.3492489 0.5881104 0.5061626 0.4396836 0.4793482 0.5586082 0.5490821 0.4716071 0.4304907 0.5419438 0.3765666 0.5828046 0.4860605 0.6458265 0.5707886 0.3607152 0.5105336 0.3592214 0.4451944 0.5409003 0.4083132 0.6199374 0.5592991 0.5631707 0.5917099 0.4617210 0.6514323 0.4733908 0.3836156 0.4583426 0.4595350 0.5264083 0.4370705 0.4768339 0.4894826 0.5973861 0.5302386 0.4823793 0.2544456 0.4282333 0.4425786 0.4744442 0.4401366 0.3553142 0.6887315 0.5392258 0.5964823 0.5330818 0.5496979 0.5990086 0.4664280 0.5248047 0.3679496 0.3195691 0.3900813 0.4946840 0.5789605 0.4769845 0.5162289 0.5959813 0.6571429 0.6503262 0.5119481 0.7090560 0.1125884 0.6556543 0.5462681 0.6425241 0.2817638 0.4912288 0.4450727 0.6612452 0.5771460 0.5355807 0.6019515 0.5230477 0.5716006 0.5725053 0.5507929 0.3970922 0.5146845 0.5255502 0.4929993 0.4866550 0.4504423 0.4718757 0.3421840 0.5545454 0.5246677 0.6786721 0.5517561 0.4510867 0.5725778 0.5736589 0.5031506 0.6609797 0.5724730 0.5800642 0.4894794 0.6532926 0.5931452 0.6450694 0.5344211 0.6635295 0.5168172 0.6397301 0.5598484 0.6118920 0.4516958 0.4708380 0.5469277 0.5401278
267712 0.4547167 0.6563932 0.6053436 0.6981080 0.3529129 0.5398088 0.6085082 0.6928738 0.4622971 0.6957133 0.6065510 0.7229838 0.7079386 0.5000408 0.2164211 0.4813102 0.6061707 0.6959254 0.6015372 0.4499926 0.6966881 0.6944158 0.6765950 0.3699021 0.5623374 0.4509543 0.6227279 0.5609844 0.3646477 0.5124902 0.7079290 0.4605024 0.6629019 0.4248891 0.6688701 0.7037491 0.6814740 0.6248984 0.4587929 0.6177842 0.5916021 0.5358283 0.4744387 0.4092796 0.4373368 0.6673012 0.6982018 0.5588148 0.4899277 0.6753268 0.6437256 0.5334671 0.5374659 0.3357590 0.4685315 0.6990027 0.5303640 0.6458344 0.6952461 0.5673252 0.5796429 0.6865675 0.4975024 0.6558357 0.5503752 0.6480731 0.4818044 0.6619780 0.5271592 0.6337712 0.6915911 0.6847801 0.6687710 0.6563838 0.4670988 0.6829228 0.6010160 0.6281571 0.7073068 0.5951997 0.3880003 0.5591632 0.6642982 0.4601634 0.6958184 0.6078283 0.6301203 0.5101771 0.5222566 0.6135088 0.5064167 0.5489508 0.5414745 0.5947770 0.6430372 0.6453116 0.5078971 0.4334027 0.6394345 0.6518868 0.6250417 0.6608978 0.6396908 0.6565829 0.6944780 0.6808007 0.5128541 0.6977909 0.5897025 0.6761298 0.4754926 0.5991706 0.4637392 0.5608857 0.6136113 0.4545268 0.5404332 0.6571622 0.7359449 0.7247268 0.3802720 0.5477577 0.2870214 0.6853293 0.6737782 0.5708508 0.6739561 0.6700832 0.5964483 0.5522502 0.6907023 0.6965123 0.5093285 0.5065784 0.6919770 0.5328795 0.6826400 0.4485483 0.5346657 0.5271834 0.6948242 0.6756233 0.5544072 0.7129827 0.6394886 0.4701629 0.6790834 0.5722380 0.6371814 0.4828645 0.4599259 0.6713347 0.5026871 0.7015773 0.6191967 0.7128431 0.5669962 0.5916072 0.5578154 0.4305320 0.6763584 0.6923837 0.4541859 0.6688696 0.6955233 0.7023767 0.7106151 0.6399001 0.7137238 0.6210122 0.5425829 0.5822155 0.6126683 0.6285701 0.6661381 0.6098407 0.6499412 0.6708413 0.6831898 0.6703511 0.4129413 0.5228449 0.6661242 0.5555670 0.5293980 0.4005808 0.7054160 0.6695635 0.6659482 0.7008768 0.7055906 0.6792097 0.6902622 0.6784289 0.7014394 0.6474046 0.5611969 0.6158949 0.6624151 0.7056415 0.5649056 0.6133915 0.7085002 0.7181533 0.5887969 0.7677211 0.2118739 0.7198706 0.5658970 0.6994476 0.4847050 0.6792096 0.5601634 0.7446912 0.6944551 0.6780972 0.6228193 0.6441290 0.7209100 0.7088233 0.6711117 0.4722665 0.6704764 0.5654027 0.5939378 0.6720047 0.5036068 0.7215979 0.2966610 0.5476121 0.5691583 0.7236997 0.5953367 0.7341303 0.7090694 0.6733212 0.5919740 0.6958376 0.7042018 0.7088205 0.6642962 0.7211332 0.6410148 0.7454240 0.5975906 0.6819476 0.5538669 0.6478238 0.6524869 0.7131571 0.6218687 0.6486182 0.6689903 0.6267120

0.3 Las unimos

union <- merge(x=malla_df, y=tabla, by="Parcela_ID", all.x = TRUE)
abc <- head(union,5)
kbl(abc) %>%
  kable_styling(bootstrap_options = c("striped", "hover")) %>%
  kable_paper() %>%
  scroll_box(width = "100%", height = "300px")
Parcela_ID Malla1k Malla2k Malla4k Malla8k Malla16k REGION NOM_REGION PROVINCIA NOM_PROVIN COMUNA NOM_COMUNA geometry 2000_04 2000_05 2000_06 2000_07 2000_08 2000_09 2000_10 2000_11 2000_12 2001_01 2001_02 2001_03 2001_04 2001_05 2001_06 2001_07 2001_08 2001_09 2001_10 2001_11 2001_12 2002_01 2002_02 2002_03 2002_04 2002_05 2002_06 2002_07 2002_08 2002_09 2002_10 2002_11 2002_12 2003_01 2003_02 2003_03 2003_04 2003_05 2003_06 2003_07 2003_08 2003_09 2003_10 2003_11 2003_12 2004_01 2004_02 2004_03 2004_04 2004_05 2004_06 2004_07 2004_08 2004_09 2004_10 2004_11 2004_12 2005_01 2005_02 2005_03 2005_04 2005_05 2005_06 2005_07 2005_08 2005_09 2005_10 2005_11 2005_12 2006_01 2006_02 2006_03 2006_04 2006_05 2006_06 2006_07 2006_08 2006_09 2006_10 2006_11 2006_12 2007_01 2007_02 2007_03 2007_04 2007_05 2007_06 2007_07 2007_08 2007_09 2007_10 2007_11 2007_12 2008_01 2008_02 2008_03 2008_04 2008_05 2008_06 2008_07 2008_08 2008_09 2008_10 2008_11 2008_12 2009_01 2009_02 2009_03 2009_04 2009_05 2009_06 2009_07 2009_08 2009_09 2009_10 2009_11 2009_12 2010_01 2010_02 2010_03 2010_04 2010_05 2010_06 2010_07 2010_08 2010_09 2010_10 2010_11 2010_12 2011_01 2011_02 2011_03 2011_04 2011_05 2011_06 2011_07 2011_08 2011_09 2011_10 2011_11 2011_12 2012_01 2012_02 2012_03 2012_04 2012_05 2012_06 2012_07 2012_08 2012_09 2012_10 2012_11 2012_12 2013_01 2013_02 2013_03 2013_04 2013_05 2013_06 2013_07 2013_08 2013_09 2013_10 2013_11 2013_12 2014_01 2014_02 2014_03 2014_04 2014_05 2014_06 2014_07 2014_08 2014_09 2014_10 2014_11 2014_12 2015_01 2015_02 2015_03 2015_04 2015_05 2015_06 2015_07 2015_08 2015_09 2015_10 2015_11 2015_12 2016_01 2016_02 2016_03 2016_04 2016_05 2016_06 2016_07 2016_08 2016_09 2016_10 2016_11 2016_12 2017_01 2017_02 2017_03 2017_04 2017_05 2017_06 2017_07 2017_08 2017_09 2017_10 2017_11 2017_12 2018_01 2018_02 2018_03 2018_04 2018_05 2018_06 2018_07 2018_08 2018_09 2018_10 2018_11 2018_12 2019_01 2019_02 2019_03 2019_04 2019_05 2019_06 2019_07 2019_08 2019_09 2019_10 2019_11 2019_12 2020_01 2020_02 2020_03 2020_04 2020_05 2020_06 2020_07 2020_08 2020_09 2020_10 2020_11 2020_12 2021_01 2021_02 2021_03 2021_04 2021_05
1 1 0 0 0 0 12 REGIÓN DE MAGALLANES Y DE LA ANTÁRTICA CHILENA 122 ANTÁRTICA CHILENA 12201 CABO DE HORNOS POINT (-68.73185 -56.5077) 0.3973215 0.2146300 0.1518731 0.1393840 0.0448156 0.0303526 0.5459300 0.4028059 0.2001724 0.3319951 0.6872389 0.4537359 0.4895110 0.3271727 0.2436677 0.0331593 0.1863969 0.3631693 0.0145289 0.5584424 0.3649698 0.3358672 0.4191244 0.1568334 0.1994133 0.2346375 0.0002681 0.0001796 0.3805019 0.4263387 0.4147148 0.2428569 0.5127967 0.4026468 0.3711418 0.3902935 0.1865722 0.2550929 -0.1130332 0.1014110 0.3680592 0.1588193 0.3258201 0.3218594 0.1253790 0.2030271 0.4203821 0.5297751 0.1342806 0.3247042 -0.0724159 0.1991210 0.2560700 0.1820745 0.3002679 0.4891661 0.4670699 0.3644476 0.2783649 0.4492001 0.3218165 0.1194264 0.1451221 0.2518471 0.1694565 0.5055332 0.4942373 0.2613541 0.4648265 0.6763652 0.3948718 0.3611051 0.4909779 0.2094595 0.2665684 0.3568725 0.3114973 0.1482260 0.5061330 0.3183820 0.5237706 0.3795621 0.5396512 0.1976682 0.2630415 0.2670577 0.0314706 0.1437885 0.2595116 -0.0141670 0.0756519 0.5309498 0.4077301 0.4411156 0.4931130 0.1842254 0.4737489 0.2094096 0.1533994 0.2308918 0.3475128 0.1972657 0.2328706 0.4251827 0.4115110 0.6350197 0.2698338 0.2983661 0.5039750 0.2758114 0.1713811 0.0693439 0.1540578 0.0729030 0.2413731 0.3408315 0.5085428 0.5676711 0.4715877 0.3311237 0.5082301 0.1137091 0.1253027 0.0555896 0.2718761 0.3315076 0.1955967 0.3675182 0.1896015 0.4172126 0.2734840 0.4861871 0.0262251 0.2319362 0.1191576 0.1992612 0.4483174 0.3389156 0.1455103 0.3602508 0.3436535 0.2392478 0.7158683 0.4739185 0.3733273 0.2233478 0.0018651 -0.1801725 0.3657100 0.2762284 0.0744593 0.1590244 0.1831221 0.2423926 0.3815734 0.3100812 0.2604021 -0.0066088 0.0337845 0.0423953 0.2279281 0.4315422 0.4557948 0.3356753 0.0369608 0.4279975 0.4169388 0.0726285 0.4309376 0.1556493 0.1418307 0.3342667 0.4257647 0.3344239 0.4290860 0.3683859 0.2877634 0.1323857 0.4592455 0.6521953 0.2347886 0.3299306 0.1409166 0.0791857 0.2433861 0.3570259 0.3677760 0.0981448 0.6642106 0.3157753 0.1756666 0.4671720 0.3853311 0.3441328 -0.0191278 0.1694000 -0.0274727 0.4050136 0.2452453 0.0302496 0.2337385 0.2422648 0.4410334 0.2757591 0.1516334 0.1685713 0.0506467 0.1449733 0.2266760 0.2240800 0.1281162 0.3309761 0.2698140 0.2168590 0.3882581 0.6270700 0.4951232 0.0279726 0.0767755 0.2206375 0.2159663 0.4740904 0.4052665 0.5697842 0.3079102 0.5476224 0.2220436 0.3373755 0.4636123 0.1747648 -0.0222014 -0.0036558 0.3276795 0.1719980 0.2828249 0.3308627 0.5089225 0.4605694 0.2645424 0.4375688 0.3419004 0.3237963 -0.0717229 0.1293134 0.1282168 0.2326074 0.5852037 0.1452783 0.2807197 0.4869900 0.2582437 0.1624982 0.3086590 0.0923483
3 1 0 0 0 0 12 REGIÓN DE MAGALLANES Y DE LA ANTÁRTICA CHILENA 122 ANTÁRTICA CHILENA 12201 CABO DE HORNOS POINT (-67.27731 -55.97484) 0.2019121 0.2971516 0.2732316 -0.1228680 0.1145698 0.2101227 0.3817056 0.2048071 0.1565023 0.4894629 0.4644592 0.2590545 0.4000604 0.4199428 -0.1372478 -0.0521884 0.1293602 0.4097144 0.5174862 0.5495389 0.4200448 0.3307449 0.3695115 0.2410675 0.2526246 0.1896384 -0.0313977 0.0589065 0.2544328 0.6261229 0.2493143 0.3978083 0.3558161 0.3089245 0.4351968 0.4041951 0.0327788 0.1007594 0.0455593 0.2233590 0.3168871 0.2787922 0.4398955 0.3055702 0.1155201 0.2820437 0.3461594 0.3872437 0.2916330 0.5656996 0.0933890 0.2522264 0.3796747 0.3037615 0.1667846 0.3298210 0.3620471 0.4882937 0.3117957 0.2256261 0.1692073 0.2968934 0.0406197 0.2034765 0.1904050 0.4161870 0.6539698 0.3215595 0.2459480 0.4030388 0.4880761 0.2949579 0.2702498 0.1225843 0.3989988 0.0595549 0.2495136 0.0211354 0.6471679 0.3956292 0.3897551 0.2909186 0.1539061 0.2182016 0.2128887 0.1124244 0.0005326 0.0023111 0.1440825 -0.0291773 0.1114783 0.2968038 0.2432001 0.4042704 0.5711961 0.3068095 0.3055968 0.2647724 0.0581169 0.0930685 0.3028010 0.3705021 0.2962695 0.4974354 0.2798482 0.1679209 0.2480307 0.2730406 0.0654864 -0.0705705 0.0575625 0.0612765 0.1489575 0.4213479 0.3406918 0.1232852 0.1873140 0.4501258 0.5873255 0.2882554 0.3461648 0.4050584 -0.0088314 0.2817274 0.2867134 0.6508061 0.5735008 0.5125513 0.3853793 0.2512615 0.3982383 0.4768272 0.2549323 0.3445160 0.0365716 0.2114923 0.5014066 0.3344937 0.1587099 0.6633649 0.3369069 0.6219262 0.4190660 0.3817759 0.1564075 0.3566276 -0.0577256 0.0234765 0.4689167 0.3886219 0.4782299 0.0296728 0.3452405 0.2811309 0.1445903 0.3815596 0.4796174 0.2112006 0.2109464 -0.0110200 -0.1701647 0.4504696 0.3096207 0.4182698 0.3126968 0.3522675 0.3657465 0.2599567 0.6066660 0.2896263 0.0616528 0.0161947 0.3114125 0.4269470 0.3355842 0.3833872 0.5758890 0.3886679 0.5759244 0.4597330 0.2874912 0.0385521 0.0480288 0.0946252 0.2254717 0.3700892 0.2436418 0.0837234 0.3842109 0.2853101 0.3410858 0.3436788 0.2296640 0.5591251 0.1038806 0.2535412 0.1399396 0.4243903 0.4037636 0.0351992 0.3870823 0.0985848 0.4374083 0.1904091 0.6396176 0.2919373 0.0189989 0.2940528 0.3383030 0.2888318 0.1768165 0.4291083 0.3992519 0.2187813 0.5117244 0.6595101 0.5110434 0.0430894 0.0701634 0.1209643 0.5755160 0.3714485 0.5472094 0.3928012 0.4043454 0.4245811 0.2442293 0.3021642 0.2783264 0.1368737 -0.0274474 0.2249399 0.3898091 0.1519554 0.3759555 0.4123799 0.3723719 0.0724137 0.3528258 0.5036645 0.5834818 0.4095579 0.1590591 0.2396069 0.3159101 0.1781152 0.4375727 0.3005522 0.3572342 0.4170505 0.5285963 0.3184377 0.1928311 0.0651535
4 1 0 0 0 0 12 REGIÓN DE MAGALLANES Y DE LA ANTÁRTICA CHILENA 122 ANTÁRTICA CHILENA 12201 CABO DE HORNOS POINT (-67.2613 -55.97462) 0.4162234 0.2025857 0.1735186 -0.0197602 0.1645573 0.2767906 0.2668369 0.2511674 0.1937621 0.4018884 0.3910433 0.4815724 0.3016684 0.4884604 0.0586402 0.1218484 0.1393796 0.3967762 0.2295831 0.4779049 0.3532710 0.2975117 0.4770423 0.2897362 0.1377883 0.1471952 -0.0578604 0.1953101 0.4539105 0.4517489 0.3488187 0.2714277 0.4396646 0.2963782 0.3384434 0.3632728 0.0534471 0.0731780 -0.1133891 0.1528272 0.4516405 0.2009545 0.4913585 0.3092163 0.1733011 0.3475065 0.1680320 0.4038504 0.2620144 0.4060350 0.2036341 0.2561303 0.2741537 0.1224462 0.1498313 0.4148271 0.2972855 0.4684377 0.2096325 0.3728585 0.1895005 0.3768938 0.1374931 0.0849607 0.3309753 0.4729100 0.5656573 0.2103767 0.4272800 0.5890484 0.3727634 0.3465151 0.2938517 0.2300820 0.2026260 0.1943121 0.0875613 0.0800543 0.5648299 0.1944477 0.5507130 0.3476895 0.1468913 0.1704008 0.2591754 0.2196747 0.0611376 -0.0324387 0.2750284 0.2662202 0.1763547 0.5610960 0.2344482 0.3759716 0.4821886 0.3532732 0.1616024 0.3479441 0.2534806 0.1171156 0.2459247 0.4287559 0.2195451 0.3269073 0.3241518 0.2565483 0.4473748 0.4171066 0.1447974 0.2998891 0.1613764 -0.0316785 0.2415949 0.2069409 0.1015921 0.1170308 0.4048401 0.4327822 0.4795597 0.3748139 0.1941790 0.3649777 -0.0166131 0.1800746 0.2356589 0.2421442 0.4536588 0.6656566 0.3451194 0.2156983 0.4799551 0.3575991 0.2159931 0.2781163 0.0417069 0.1745050 0.3965986 0.6107379 0.0988127 0.5971555 0.3073514 0.4717472 0.3945646 0.5069222 0.2973585 0.1431391 -0.0451094 -0.0004906 0.4424000 0.3695359 0.4086704 0.1719239 0.4992893 0.1893986 0.3533438 0.2456813 0.3891798 0.1626676 0.1305303 -0.0422863 0.8659988 0.3900797 0.2253034 0.3690738 0.1854153 0.3718287 0.3257415 0.2076000 0.5306393 0.3213157 0.2172169 0.0879881 0.3539237 0.3105684 0.2760615 0.3721038 0.4795282 0.4503834 0.6388310 0.3076726 0.3465133 0.1720632 0.1372819 0.2063729 0.4319781 0.2793002 0.2763068 0.0524451 0.5069813 0.2735591 0.2379185 0.2180723 0.2092012 0.2619640 0.0752278 0.2181053 0.2265883 0.4521530 0.2773859 0.0139194 0.2537756 0.2365920 0.5174412 0.5189791 0.3289248 0.1169380 -0.1026340 0.1961677 0.4371607 0.0670942 0.1518921 0.4373925 0.3161797 0.3141525 0.3449994 0.4821819 0.4194645 0.3657581 -0.0425722 0.0424988 0.3822291 0.4501493 0.2641494 0.4928803 0.3732395 0.3986183 0.3330801 0.4841522 0.3755184 0.1570252 0.0686311 0.2196135 0.2786346 0.0968261 0.4229150 0.3910553 0.2975336 0.3437383 0.3758527 0.1519492 0.5962982 0.3361025 0.0484126 0.1177819 0.3745731 0.1835015 0.4836402 0.3943186 0.3414994 0.4892670 0.6177906 0.1827967 0.1807829 0.1086822
5 1 2 0 0 0 12 REGIÓN DE MAGALLANES Y DE LA ANTÁRTICA CHILENA 122 ANTÁRTICA CHILENA 12201 CABO DE HORNOS POINT (-67.30974 -55.96631) 0.1477981 0.0656941 0.1962903 -0.0654091 0.2110435 0.0773423 0.2625395 0.3560966 0.2872638 0.4389614 0.4128580 0.4545379 0.2017083 0.4075305 0.1984363 0.0566458 0.1495790 0.3429517 0.0994682 0.4292413 0.3835605 0.1836092 0.4609039 0.2510787 0.0503131 0.0768998 0.0585701 0.0737072 0.2813639 0.5546392 0.2770585 0.3422130 0.3022594 0.2795102 0.2077028 0.5571283 0.0344449 -0.1404897 -0.1320342 0.0958548 0.2530484 0.1869264 0.3253092 0.1288866 0.2460639 0.2118131 0.2756183 0.2872131 0.3868125 0.1544910 0.1311177 0.1777579 0.0590240 0.0676505 0.1620725 0.2863651 0.3751576 0.3103259 0.3792233 0.2879936 0.1024096 0.2978728 0.1948688 0.2321656 0.3658547 0.5701537 0.3853054 0.2005046 0.4577830 0.2734210 0.3966551 0.1560800 0.1209014 0.0829080 0.3007721 0.1747245 0.1299877 0.1901685 0.4546789 0.1924901 0.4640783 0.3591947 0.1420366 0.1313524 0.3032855 0.0381654 0.0430562 -0.0762165 0.0781917 0.2930430 0.1570067 0.3509932 0.2166983 0.2675476 0.4652920 0.2727329 0.0283233 0.2172140 0.1181368 0.0998209 0.1162061 0.3599249 0.0548240 0.2530183 0.2732610 0.0963627 0.4737621 0.0807874 0.1469325 0.1312603 0.1046754 -0.0714802 0.2776123 0.1386712 0.0230935 0.0867508 0.3748703 0.2677570 0.5367888 0.1887717 0.0449282 0.0950541 -0.0330587 0.1928789 0.2014941 0.3973930 0.2727389 0.2349020 0.0213552 0.2372432 0.2494236 0.2558674 0.1215504 0.0952898 -0.1627322 0.0622808 0.2169484 0.5715218 0.0190964 0.4582819 0.1683133 0.6226279 0.2941116 0.3833341 0.2992290 0.1025045 -0.0354195 -0.0904778 0.1725425 0.3459773 0.0099407 0.0430800 0.3814077 0.1077198 0.3464760 0.3001665 0.0873866 0.0566293 0.1874889 -0.0775135 0.0023186 0.1502231 0.0944922 0.3334643 0.3096258 0.3336789 0.1870312 0.0706755 0.2535951 0.1875569 0.1384856 0.0485921 0.3353146 0.5625567 0.3027347 0.2554033 0.3905493 0.3289209 0.4098206 0.3142466 0.3213671 -0.1556059 -0.0046485 0.1414770 -0.0154947 0.1250254 0.3092473 0.2473853 0.4122152 0.1101487 0.2048991 0.1328227 0.1195678 0.0856742 -0.0282742 0.1283694 0.1456963 0.2868395 0.2374425 0.0338649 0.2875977 0.3367367 0.4354162 0.3510065 0.7741704 -0.0230350 -0.1452779 0.0765759 0.3485821 0.1007402 0.1136774 0.3287523 0.2519391 0.1833120 0.3294384 0.5071044 0.1960800 0.0030013 0.1238960 0.1114289 0.1786952 0.4135876 0.2352873 0.2721779 0.2357064 0.2545760 0.2707192 0.3151855 0.0894588 0.0732311 0.0319388 0.3784596 0.1992783 0.0289177 0.2439770 0.2649565 0.4139887 0.2398195 0.4190091 0.4915136 0.2548729 0.1184995 -0.0679935 0.0817764 0.0394948 0.3002861 0.3394981 0.1774335 0.3602765 0.1873765 0.1282666 0.1585262 0.0377919 0.0096649
6 1 0 0 0 0 12 REGIÓN DE MAGALLANES Y DE LA ANTÁRTICA CHILENA 122 ANTÁRTICA CHILENA 12201 CABO DE HORNOS POINT (-67.29373 -55.96609) 0.1906805 0.3584509 0.3482276 0.0855483 0.3219249 0.2617323 0.6957904 0.4802160 0.4166921 0.4757008 0.6709570 0.4887578 0.5291415 0.5834994 0.1788618 0.1245604 0.2623426 0.6581216 0.4801801 0.5670594 0.5931260 0.4610963 0.6828671 0.3322658 0.2888779 0.3258281 0.0146016 0.3504415 0.5474098 0.6932551 0.4095198 0.3920779 0.4735823 0.4880317 0.4478168 0.6675137 0.4026553 0.3329979 0.0024331 0.3556137 0.5859901 0.4437301 0.6770514 0.3967957 0.3812667 0.4682120 0.5059573 0.6149679 0.5591344 0.3830025 0.2142930 0.4363937 0.3267762 0.2800291 0.3140503 0.6366462 0.6260611 0.5491301 0.6579889 0.3813239 0.2929524 0.3886213 0.3216357 0.3304597 0.6229272 0.6313913 0.7519313 0.3777347 0.5437608 0.5396510 0.6055500 0.2906795 0.3453460 0.4026211 0.3926840 0.3142011 0.2968823 0.4667527 0.7076901 0.4626266 0.7206722 0.6576200 0.2525479 0.2589020 0.6547194 0.2948658 0.3103515 0.2853155 0.4129342 0.4630284 0.2942922 0.6619200 0.3164595 0.4374352 0.6327345 0.5299772 0.5884207 0.5654488 0.3623458 0.2287222 0.2629798 0.5690254 0.4329121 0.5537809 0.3839245 0.2376152 0.5191963 0.4416137 0.4241623 0.2946303 0.1616533 0.1604789 0.4127760 0.3147743 0.4860878 0.1776260 0.4693545 0.6082152 0.6224236 0.4335715 0.3983586 0.3481432 0.1525111 0.1537928 0.5525616 0.7230522 0.5774204 0.4710200 0.5635137 0.4436531 0.4461823 0.5102766 0.2885078 0.2056151 0.0835178 0.2447335 0.4293252 0.7174560 0.1161360 0.7159871 0.2958138 0.5872920 0.3045805 0.5671707 0.5052515 0.3432086 -0.0306744 0.0130432 0.5653160 0.4694101 0.4032983 0.1552466 0.5532779 0.2667658 0.6672541 0.4956377 0.3709511 0.0803872 0.2613400 0.0803173 0.0349058 0.5277045 0.4363455 0.6023725 0.2512571 0.5308812 0.4004334 0.2779965 0.4647961 0.4740974 0.1985909 0.4468327 0.3995830 0.6016818 0.3144113 0.5301095 0.6006650 0.4844457 0.6755843 0.5762751 0.4718948 0.0840481 -0.0259051 0.2575366 0.5572850 0.5000153 0.4920087 0.3809356 0.5924106 0.4116322 0.3167891 0.3867258 0.2018285 0.3801816 0.0864503 0.3888329 0.3813658 0.4984243 0.5209593 0.1121291 0.4609805 0.4753214 0.5665568 0.5029179 0.6720954 0.4241511 0.2308727 0.1386340 0.3421921 0.4358511 0.2679468 0.5611614 0.4131956 0.4153092 0.5784667 0.7300670 0.5165224 0.4454621 0.2572732 0.2289749 0.3555341 0.5213309 0.6151390 0.5940902 0.4818980 0.5177854 0.5629594 0.3074280 0.6734643 0.2450678 0.0695398 0.4951354 0.5159559 0.2536003 0.5306916 0.4752865 0.4063421 0.3038760 0.5268801 0.5413257 0.6055988 0.2878919 0.0692112 0.2499027 0.3108495 0.4529144 0.6631094 0.3555360 0.6626591 0.3375255 0.4750578 0.2392058 0.2782892 0.1619685

0.4 Generamos los summary por comuna para los tres primeros campos

codigos_comunales_unicos <- unique(union$COMUNA)
receptaculo <- data.frame()

for (i in codigos_comunales_unicos){
  
  comuna <- paste(i,sep = " ")
  
  union_2 <- filter(union, union$COMUNA == i)
  
  
  f <- sapply(union_2[,c(14:16)], summary)
  myDF <- cbind(Descriptor = rownames(f), f)
  myDF <- as.data.frame(myDF)
  rownames(myDF) <- NULL
  myDF[,2:4] <- sapply(myDF[,2:4],as.numeric)
  g <- cbind(comuna,myDF)
  receptaculo <- rbind(receptaculo,g)
} 
head(receptaculo,50)
##    comuna Descriptor      2000_04      2000_05      2000_06
## 1   12201       Min.  -2.01806617  -0.54966426 -0.491912097
## 2   12201    1st Qu.   0.04996427  -0.04596014 -0.124268159
## 3   12201     Median   0.22442935   0.13483280 -0.043583713
## 4   12201       Mean   0.24394156   0.15867180 -0.014704755
## 5   12201    3rd Qu.   0.41489339   0.36167967  0.089083046
## 6   12201       Max.   0.82054698   0.78915685  0.583380342
## 7   12303       Min.  -6.06173420  -0.58330947 -0.575824976
## 8   12303    1st Qu.   0.19072670  -0.01759856 -0.097421117
## 9   12303     Median   0.51337516   0.32199919  0.045286998
## 10  12303       Mean   0.39241141   0.24202600  0.061724728
## 11  12303    3rd Qu.   0.61449558   0.46795723  0.240906239
## 12  12303       Max.   4.04266167   0.80132937  0.623277545
## 13  12101       Min.  -1.94184434  -0.75267738 -0.646758914
## 14  12101    1st Qu.   0.16336109   0.12504328 -0.081886519
## 15  12101     Median   0.28391737   0.25296962  0.007083424
## 16  12101       Mean   0.31143591   0.24878770  0.042654777
## 17  12101    3rd Qu.   0.48028603   0.38645808  0.157741144
## 18  12101       Max.   0.81550252   0.72332150  0.606460154
## 19  12301       Min.  -1.23459888  -0.88348782 -0.421747655
## 20  12301    1st Qu.   0.43701330   0.43992195  0.175765276
## 21  12301     Median   0.50132233   0.48111242  0.242253751
## 22  12301       Mean   0.49101642   0.46564700  0.231396906
## 23  12301    3rd Qu.   0.56216359   0.51435977  0.298739284
## 24  12301       Max.   0.87201881   0.64714450  0.537956953
## 25  12103       Min.  -2.70194721  -0.50665307 -0.477149546
## 26  12103    1st Qu.   0.10613902   0.13124044 -0.105105609
## 27  12103     Median   0.27683212   0.36096762 -0.007391960
## 28  12103       Mean   0.27922360   0.30509381  0.035440034
## 29  12103    3rd Qu.   0.44600657   0.49178997  0.152407873
## 30  12103       Max.  12.44869900   0.76072735  0.648841321
## 31  12302       Min.  -0.63935572  -0.30070654 -0.371516764
## 32  12302    1st Qu.   0.44598103   0.42393440  0.234400734
## 33  12302     Median   0.50655955   0.46117246  0.273443192
## 34  12302       Mean   0.48563675   0.44865249  0.264731783
## 35  12302    3rd Qu.   0.54389006   0.48987737  0.309250653
## 36  12302       Max.   0.63550937   0.59329003  0.435938329
## 37  12401       Min. -11.61976528 -10.18087578 -0.545801401
## 38  12401    1st Qu.   0.01362163   0.11465185 -0.085872464
## 39  12401     Median   0.10907979   0.36437675 -0.000383731
## 40  12401       Mean   0.13006119   0.30422515  0.029902243
## 41  12401    3rd Qu.   0.23132343   0.52170461  0.140684597
## 42  12401       Max.   2.71685123   3.20945501  0.671299875
## 43  12102       Min.  -0.42114845  -0.48842767 -0.457429409
## 44  12102    1st Qu.   0.35631411   0.41953727  0.176798146
## 45  12102     Median   0.42056766   0.45680532  0.242843725
## 46  12102       Mean   0.42591639   0.44100066  0.230521135
## 47  12102    3rd Qu.   0.52727963   0.50044581  0.303638212
## 48  12102       Max.   0.68849862   0.62730569  0.527805388
## 49  12104       Min.  -0.39366624  -0.41169241 -0.334096134
## 50  12104    1st Qu.   0.37923446   0.44469649  0.215079784

0.5 Guardar

write_xlsx(receptaculo,"stats_indice_ndgi.xlsx")

0.5.1 codigo importante 1

# f <- sapply(union[,c(14:40)], summary)
# myDF <- cbind(Descriptor = rownames(f), f)
# myDF <- as.data.frame(myDF)
# rownames(myDF) <- NULL
# myDF[,2:4] <- sapply(myDF[,2:4],as.numeric)
# myDF

0.5.2 codigo importante 2

# codigos_comunales_unicos <- unique(union$COMUNA)
# codigos_comunales_unicos
# 
# receptaculo <- data.frame()
# for (i in codigos_comunales_unicos){
#   comuna <- paste(i,sep = " ")
#   t <- summary(union[,14:16])
#   g <- cbind(comuna,t)
#   receptaculo <- rbind(receptaculo,g)
# }

0.6 filtros por Provincia:

0.7 Guardar

0.8 filtros por Región:

0.9 Guardar