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1. INTRODUCCION

El análisis de datos es la ciencia que examina un conjunto de datos con la finalidad de ampliar un tema de conocimiento u obtener información sobre ella. El análisis de datos consiste en someter los datos a la realización de operaciones, tiene el fin de concluir , la recolección de datos puede revelar ciertas dificultades.

En el informe presentado se muestran los resultados hechos a partir de una base de datos sobre el deslizamiento de tierra a escala global según la Nasa, el objetivo que se busca realizar es un claro entendimiento de esta enorme cantidad de datos de muestreo, de tal forma que podamos encontrar algún tipo de patrón recolectado, unos máximos y mínimos puntos sobre fechas, estadísticas, mediana, rango medio, diagramas de bigotes, tablas de frecuencias, aplicar los conocimientos básicos del análisis estadístico en R Studio de este modo se explicará la relevancia de estos datos de muestreo, cómo se comportan, y cúal podría ser su uso en un área de estudio.

1.1 TABLA DE INFORMACIÓN

La siguiente tabla muestra los resultados de 1694 datos recolectados por la NASA desde el 2007, acerca de los deslizamientos presentados en 70 países, este cuenta con información desde la frecuencia, el nombre del país,estado, ciudad, población, coordenadas geográficas, descripción básica del deslizamiento y las fuentes que sustentan su acontecimiento.

id date time Codigo_Continente Nombre_Pais Codigo_Pais Estado Poblacion Ciudad Distancia location_description latitude longitude geolocation hazard_type landslide_type landslide_size trigger storm_name injuries fatalities source_name source_link
34 3/2/07 Night NA United States US Virginia 16000 Cherry Hill 3.40765 Unknown 38.6009 -77.2682 (38.600900000000003, -77.268199999999993) Landslide Landslide Small Rain NA NA NA NBC 4 news http://www.nbc4.com/news/11186871/detail.html
42 3/22/07 NA NA United States US Ohio 17288 New Philadelphia 3.33522 NA 40.5175 -81.4305 (40.517499999999998, -81.430499999999995) Landslide Landslide Small Rain NA NA NA Canton Rep.com http://www.cantonrep.com/index.php?ID=345054&Category=9&subCategoryID=0
56 4/6/07 NA NA United States US Pennsylvania 15930 Wilkinsburg 2.91977 Urban area 40.4377 -79.9160 (40.4377, -79.915999999999997) Landslide Landslide Small Rain NA NA NA The Pittsburgh Channel.com https://web.archive.org/web/20080423132842/http://www.thepittsburghchannel.com/news/11846833/detail.html
59 4/14/07 NA NA Canada CA Quebec 42786 Châteauguay 2.98682 Above river 45.3226 -73.7771 (45.322600000000001, -73.777100000000004) Landslide Riverbank collapse Small Rain NA NA NA Le Soleil http://www.hebdos.net/lsc/edition162007/articles.asp?article_id=166976
61 4/15/07 NA NA United States US Kentucky 6903 Pikeville 5.66542 Below road 37.4325 -82.4931 (37.432499999999997, -82.493099999999998) Landslide Landslide Small Downpour NA NA 0 Matthew Crawford (KGS) NA
64 4/20/07 NA NA United States US Kentucky 6903 Pikeville 0.23715 NA 37.4814 -82.5186 (37.481400000000001, -82.518600000000006) Landslide Landslide Small Rain NA NA NA Applalachain news-express http://www.news-expressky.com/articles/2007/04/19/top_story/01mudslide.txt

Tabla 1. Nota: Se tomaron solo los encabezados de la tabla para no ocupar mucho espacio usando el comando “knitr::kable(head(df))”

2.GRAFICOS DESLIZAMIENTOS DE ESTADOS/DEPARTAMENTOS POR PAÍS

Se muestran los deslizamientos de cada ciudad en el siguiente gráfico

2.1 Gráfica de deslizamiento de Barbados agrupadas por los departamentos

## Warning: package 'forecast' was built under R version 4.1.1
## Registered S3 method overwritten by 'quantmod':
##   method            from
##   as.zoo.data.frame zoo
n % val% %cum val%cum
2.87363 1 100 100 100 100
Total 1 100 100 100 100 
## Classes 'freqtab' and 'data.frame':  2 obs. of  5 variables:
##  $ n      : num  1 1
##  $ %      : num  100 100
##  $ val%   : num  100 100
##  $ %cum   : num  100 100
##  $ val%cum: num  100 100
x y
2.87363 1 

## [1] 2.87363
Distancias Freq Rel_Freq Cum_Freq
(2.871,2.874] 1 1 1
(2.874,2.877] 0 0 1 
## 'data.frame':    2 obs. of  4 variables:
##  $ Distancias: Factor w/ 2 levels "(2.871,2.874]",..: 1 2
##  $ Freq      : int  1 0
##  $ Rel_Freq  : num  1 0
##  $ Cum_Freq  : int  1 1
x y
(2.871,2.874] 1
(2.874,2.877] 0 

summary(Bab$Distancia)
##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
##   2.874   2.874   2.874   2.874   2.874   2.874

2.2 Grafica de deslizamiento de Belize agrupadas por los departamentos

n % val% %cum val%cum
9.71758 1 100 100 100 100
Total 1 100 100 100 100 
## Classes 'freqtab' and 'data.frame':  2 obs. of  5 variables:
##  $ n      : num  1 1
##  $ %      : num  100 100
##  $ val%   : num  100 100
##  $ %cum   : num  100 100
##  $ val%cum: num  100 100
x y
9.71758 1 

## [1] 9.71758
Distancias Freq Rel_Freq Cum_Freq
(9.708,9.71] 0 0 0
(9.71,9.712] 0 0 0
(9.712,9.714] 0 0 0
(9.714,9.717] 0 0 0
(9.717,9.719] 1 1 1
(9.719,9.721] 0 0 1
(9.721,9.723] 0 0 1
(9.723,9.725] 0 0 1
(9.725,9.727] 0 0 1 
## 'data.frame':    9 obs. of  4 variables:
##  $ Distancias: Factor w/ 9 levels "(9.708,9.71]",..: 1 2 3 4 5 6 7 8 9
##  $ Freq      : int  0 0 0 0 1 0 0 0 0
##  $ Rel_Freq  : num  0 0 0 0 1 0 0 0 0
##  $ Cum_Freq  : int  0 0 0 0 1 1 1 1 1
x y
(9.708,9.71] 0
(9.71,9.712] 0
(9.712,9.714] 0
(9.714,9.717] 0
(9.717,9.719] 1
(9.719,9.721] 0
(9.721,9.723] 0
(9.723,9.725] 0
(9.725,9.727] 0 

summary(Bel$Distancia)
##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
##   9.718   9.718   9.718   9.718   9.718   9.718

2.3 Grafica de deslizamiento de Bermudas agrupadas por los departamentos

n % val% %cum val%cum
0.89751 1 50 50 50 50
1.54715 1 50 50 100 100
Total 2 100 100 100 100 
## Classes 'freqtab' and 'data.frame':  3 obs. of  5 variables:
##  $ n      : num  1 1 2
##  $ %      : num  50 50 100
##  $ val%   : num  50 50 100
##  $ %cum   : num  50 100 100
##  $ val%cum: num  50 100 100
x y
0.89751 1
1.54715 1 

## [1] 0.89751 1.89751
Distancias Freq Rel_Freq Cum_Freq
(0.898,1.9] 1 1 1 
## 'data.frame':    1 obs. of  4 variables:
##  $ Distancias: Factor w/ 1 level "(0.898,1.9]": 1
##  $ Freq      : int 1
##  $ Rel_Freq  : num 1
##  $ Cum_Freq  : int 1
x y
(0.898,1.9] 1 

summary(Bd$Distancia)
##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
##  0.8975  1.0599  1.2223  1.2223  1.3847  1.5472

2.4 Grafica de deslizamiento de Costa rica agrupadas por los departamentos

n % val% %cum val%cum
0.25254 2 2.7 2.7 2.7 2.7
0.26208 1 1.3 1.3 4.0 4.0
0.35225 1 1.3 1.3 5.3 5.3
0.55804 1 1.3 1.3 6.7 6.7
0.70048 1 1.3 1.3 8.0 8.0
0.72957 1 1.3 1.3 9.3 9.3
1.16705 1 1.3 1.3 10.7 10.7
1.47396 1 1.3 1.3 12.0 12.0
1.85787 1 1.3 1.3 13.3 13.3
2.08469 1 1.3 1.3 14.7 14.7
2.92605 1 1.3 1.3 16.0 16.0
2.94804 1 1.3 1.3 17.3 17.3
3.07297 1 1.3 1.3 18.7 18.7
3.08459 1 1.3 1.3 20.0 20.0
3.08916 1 1.3 1.3 21.3 21.3
3.21979 1 1.3 1.3 22.7 22.7
3.67691 1 1.3 1.3 24.0 24.0
3.71407 1 1.3 1.3 25.3 25.3
3.82425 1 1.3 1.3 26.7 26.7
4.24199 1 1.3 1.3 28.0 28.0
4.57763 1 1.3 1.3 29.3 29.3
4.87432 1 1.3 1.3 30.7 30.7
4.89954 1 1.3 1.3 32.0 32.0
4.93053 1 1.3 1.3 33.3 33.3
5.12667 1 1.3 1.3 34.7 34.7
5.15142 1 1.3 1.3 36.0 36.0
5.365 1 1.3 1.3 37.3 37.3
5.43516 1 1.3 1.3 38.7 38.7
5.57523 1 1.3 1.3 40.0 40.0
5.95519 1 1.3 1.3 41.3 41.3
5.96634 1 1.3 1.3 42.7 42.7
6.49523 1 1.3 1.3 44.0 44.0
6.80061 1 1.3 1.3 45.3 45.3
6.88715 1 1.3 1.3 46.7 46.7
6.92174 1 1.3 1.3 48.0 48.0
7.87044 1 1.3 1.3 49.3 49.3
8.21372 1 1.3 1.3 50.7 50.7
8.27042 1 1.3 1.3 52.0 52.0
8.39161 1 1.3 1.3 53.3 53.3
8.92048 1 1.3 1.3 54.7 54.7
9.53493 1 1.3 1.3 56.0 56.0
9.53611 1 1.3 1.3 57.3 57.3
9.56251 1 1.3 1.3 58.7 58.7
9.61692 1 1.3 1.3 60.0 60.0
9.63616 1 1.3 1.3 61.3 61.3
9.84213 1 1.3 1.3 62.7 62.7
9.85736 1 1.3 1.3 64.0 64.0
10.01198 1 1.3 1.3 65.3 65.3
10.0131 1 1.3 1.3 66.7 66.7
10.21631 1 1.3 1.3 68.0 68.0
10.32968 1 1.3 1.3 69.3 69.3
10.73752 1 1.3 1.3 70.7 70.7
11.31047 1 1.3 1.3 72.0 72.0
11.74074 1 1.3 1.3 73.3 73.3
11.96524 1 1.3 1.3 74.7 74.7
12.18115 1 1.3 1.3 76.0 76.0
12.21952 1 1.3 1.3 77.3 77.3
12.33807 1 1.3 1.3 78.7 78.7
12.85801 1 1.3 1.3 80.0 80.0
13.48919 1 1.3 1.3 81.3 81.3
14.81614 1 1.3 1.3 82.7 82.7
15.05161 1 1.3 1.3 84.0 84.0
15.64997 1 1.3 1.3 85.3 85.3
16.24937 1 1.3 1.3 86.7 86.7
17.23264 1 1.3 1.3 88.0 88.0
17.65521 1 1.3 1.3 89.3 89.3
18.00524 1 1.3 1.3 90.7 90.7
19.28722 1 1.3 1.3 92.0 92.0
19.51432 1 1.3 1.3 93.3 93.3
19.54581 1 1.3 1.3 94.7 94.7
20.06633 1 1.3 1.3 96.0 96.0
21.67452 1 1.3 1.3 97.3 97.3
21.9547 1 1.3 1.3 98.7 98.7
22.32368 1 1.3 1.3 100.0 100.0
Total 75 100.0 100.0 100.0 100.0 
## Classes 'freqtab' and 'data.frame':  75 obs. of  5 variables:
##  $ n      : num  2 1 1 1 1 1 1 1 1 1 ...
##  $ %      : num  2.7 1.3 1.3 1.3 1.3 1.3 1.3 1.3 1.3 1.3 ...
##  $ val%   : num  2.7 1.3 1.3 1.3 1.3 1.3 1.3 1.3 1.3 1.3 ...
##  $ %cum   : num  2.7 4 5.3 6.7 8 9.3 10.7 12 13.3 14.7 ...
##  $ val%cum: num  2.7 4 5.3 6.7 8 9.3 10.7 12 13.3 14.7 ...
x y
0.25254 2
0.26208 1
0.35225 1
0.55804 1
0.70048 1
0.72957 1
1.16705 1
1.47396 1
1.85787 1
2.08469 1
2.92605 1
2.94804 1
3.07297 1
3.08459 1
3.08916 1
3.21979 1
3.67691 1
3.71407 1
3.82425 1
4.24199 1
4.57763 1
4.87432 1
4.89954 1
4.93053 1
5.12667 1
5.15142 1
5.365 1
5.43516 1
5.57523 1
5.95519 1
5.96634 1
6.49523 1
6.80061 1
6.88715 1
6.92174 1
7.87044 1
8.21372 1
8.27042 1
8.39161 1
8.92048 1
9.53493 1
9.53611 1
9.56251 1
9.61692 1
9.63616 1
9.84213 1
9.85736 1
10.01198 1
10.0131 1
10.21631 1
10.32968 1
10.73752 1
11.31047 1
11.74074 1
11.96524 1
12.18115 1
12.21952 1
12.33807 1
12.85801 1
13.48919 1
14.81614 1
15.05161 1
15.64997 1
16.24937 1
17.23264 1
17.65521 1
18.00524 1
19.28722 1
19.51432 1
19.54581 1
20.06633 1
21.67452 1
21.9547 1
22.32368 1 

## [1]  0.25254  4.25254  8.25254 12.25254 16.25254 20.25254 24.25254
Distancias Freq Rel_Freq Cum_Freq
(0.253,4.25] 19 0.2602740 19
(4.25,8.25] 17 0.2328767 36
(8.25,12.3] 20 0.2739726 56
(12.3,16.3] 7 0.0958904 63
(16.3,20.3] 7 0.0958904 70
(20.3,24.3] 3 0.0410959 73 
## 'data.frame':    6 obs. of  4 variables:
##  $ Distancias: Factor w/ 6 levels "(0.253,4.25]",..: 1 2 3 4 5 6
##  $ Freq      : int  19 17 20 7 7 3
##  $ Rel_Freq  : num  0.2603 0.2329 0.274 0.0959 0.0959 ...
##  $ Cum_Freq  : int  19 36 56 63 70 73
x y
(0.253,4.25] 19
(4.25,8.25] 17
(8.25,12.3] 20
(12.3,16.3] 7
(16.3,20.3] 7
(20.3,24.3] 3 

summary(CR$Distancia)
##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
##  0.2525  3.7692  8.2137  8.6152 12.0732 22.3237

## 
##   The decimal point is at the |
## 
##    0 | 3334677259
##    2 | 1991112778
##    4 | 2699912446
##    6 | 0058999
##    8 | 23495566689
##   10 | 0023737
##   12 | 022395
##   14 | 816
##   16 | 227
##   18 | 0355
##   20 | 17
##   22 | 03

2.5 Grafica de deslizamiento de Cuba agrupadas por los departamentos

n % val% %cum val%cum
0.89865 1 33.3 33.3 33.3 33.3
10.45795 1 33.3 33.3 66.7 66.7
11.87914 1 33.3 33.3 100.0 100.0
Total 3 100.0 100.0 100.0 100.0 
## Classes 'freqtab' and 'data.frame':  4 obs. of  5 variables:
##  $ n      : num  1 1 1 3
##  $ %      : num  33.3 33.3 33.3 100
##  $ val%   : num  33.3 33.3 33.3 100
##  $ %cum   : num  33.3 66.7 100 100
##  $ val%cum: num  33.3 66.7 100 100
x y
0.89865 1
10.45795 1
11.87914 1 

## [1]  0.89865  4.89865  8.89865 12.89865
Distancias Freq Rel_Freq Cum_Freq
(0.899,4.9] 0 0 0
(4.9,8.9] 0 0 0
(8.9,12.9] 2 1 2 
## 'data.frame':    3 obs. of  4 variables:
##  $ Distancias: Factor w/ 3 levels "(0.899,4.9]",..: 1 2 3
##  $ Freq      : int  0 0 2
##  $ Rel_Freq  : num  0 0 1
##  $ Cum_Freq  : int  0 0 2
x y
(0.899,4.9] 0
(4.9,8.9] 0
(8.9,12.9] 2 

summary(Cb$Distancia)
##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
##  0.8986  5.6783 10.4580  7.7452 11.1685 11.8791

## 
##   The decimal point is 1 digit(s) to the right of the |
## 
##   0 | 1
##   0 | 
##   1 | 02

2.6 Grafica de deslizamiento de Dominica agrupadas por los departamentos

n % val% %cum val%cum
1.80847 1 7.1 7.1 7.1 7.1
2.08997 1 7.1 7.1 14.3 14.3
2.38605 1 7.1 7.1 21.4 21.4
2.59849 1 7.1 7.1 28.6 28.6
2.64873 1 7.1 7.1 35.7 35.7
3.39516 1 7.1 7.1 42.9 42.9
3.78784 1 7.1 7.1 50.0 50.0
3.98646 1 7.1 7.1 57.1 57.1
4.08252 1 7.1 7.1 64.3 64.3
4.20239 1 7.1 7.1 71.4 71.4
5.116 1 7.1 7.1 78.6 78.6
5.61495 1 7.1 7.1 85.7 85.7
5.92994 1 7.1 7.1 92.9 92.9
6.4593 1 7.1 7.1 100.0 100.0
Total 14 100.0 100.0 100.0 100.0 
## Classes 'freqtab' and 'data.frame':  15 obs. of  5 variables:
##  $ n      : num  1 1 1 1 1 1 1 1 1 1 ...
##  $ %      : num  7.1 7.1 7.1 7.1 7.1 7.1 7.1 7.1 7.1 7.1 ...
##  $ val%   : num  7.1 7.1 7.1 7.1 7.1 7.1 7.1 7.1 7.1 7.1 ...
##  $ %cum   : num  7.1 14.3 21.4 28.6 35.7 42.9 50 57.1 64.3 71.4 ...
##  $ val%cum: num  7.1 14.3 21.4 28.6 35.7 42.9 50 57.1 64.3 71.4 ...
x y
1.80847 1
2.08997 1
2.38605 1
2.59849 1
2.64873 1
3.39516 1
3.78784 1
3.98646 1
4.08252 1
4.20239 1
5.116 1
5.61495 1
5.92994 1
6.4593 1 

## [1] 1.80847 2.80847 3.80847 4.80847 5.80847 6.80847
Distancias Freq Rel_Freq Cum_Freq
(1.81,2.81] 4 0.3076923 4
(2.81,3.81] 2 0.1538462 6
(3.81,4.81] 3 0.2307692 9
(4.81,5.81] 2 0.1538462 11
(5.81,6.81] 2 0.1538462 13 
## 'data.frame':    5 obs. of  4 variables:
##  $ Distancias: Factor w/ 5 levels "(1.81,2.81]",..: 1 2 3 4 5
##  $ Freq      : int  4 2 3 2 2
##  $ Rel_Freq  : num  0.308 0.154 0.231 0.154 0.154
##  $ Cum_Freq  : int  4 6 9 11 13
x y
(1.81,2.81] 4
(2.81,3.81] 2
(3.81,4.81] 3
(4.81,5.81] 2
(5.81,6.81] 2 

summary(Dmc$Distancia)
##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
##   1.808   2.611   3.887   3.865   4.888   6.459

## 
##   The decimal point is at the |
## 
##   1 | 8
##   2 | 1466
##   3 | 48
##   4 | 012
##   5 | 169
##   6 | 5

2.7 Grafica de deslizamiento de Granada agrupadas por los departamentos

n % val% %cum val%cum
1.19981 1 50 50 50 50
5.65355 1 50 50 100 100
Total 2 100 100 100 100 
## Classes 'freqtab' and 'data.frame':  3 obs. of  5 variables:
##  $ n      : num  1 1 2
##  $ %      : num  50 50 100
##  $ val%   : num  50 50 100
##  $ %cum   : num  50 100 100
##  $ val%cum: num  50 100 100
x y
1.19981 1
5.65355 1 

## [1] 1.19981 4.19981 7.19981
Distancias Freq Rel_Freq Cum_Freq
(1.2,4.2] 0 0 0
(4.2,7.2] 1 1 1 
## 'data.frame':    2 obs. of  4 variables:
##  $ Distancias: Factor w/ 2 levels "(1.2,4.2]","(4.2,7.2]": 1 2
##  $ Freq      : int  0 1
##  $ Rel_Freq  : num  0 1
##  $ Cum_Freq  : int  0 1
x y
(1.2,4.2] 0
(4.2,7.2] 1 

summary(Grn$Distancia)
##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
##   1.200   2.313   3.427   3.427   4.540   5.654

## 
##   The decimal point is at the |
## 
##   1 | 2
##   2 | 
##   3 | 
##   4 | 
##   5 | 7

2.8 Gráfica de deslizamiento de Guatemala agrupadas por los departamentos

n % val% %cum val%cum
0.00359 1 1.3 1.3 1.3 1.3
0.0328 1 1.3 1.3 2.5 2.5
0.17513 1 1.3 1.3 3.8 3.8
0.18542 1 1.3 1.3 5.1 5.1
0.35171 1 1.3 1.3 6.3 6.3
0.44764 1 1.3 1.3 7.6 7.6
0.45507 1 1.3 1.3 8.9 8.9
0.50611 1 1.3 1.3 10.1 10.1
0.63089 1 1.3 1.3 11.4 11.4
0.65744 1 1.3 1.3 12.7 12.7
0.6704 1 1.3 1.3 13.9 13.9
0.75685 1 1.3 1.3 15.2 15.2
0.75729 1 1.3 1.3 16.5 16.5
0.77254 1 1.3 1.3 17.7 17.7
0.8064 1 1.3 1.3 19.0 19.0
0.82332 1 1.3 1.3 20.3 20.3
0.8904 1 1.3 1.3 21.5 21.5
0.91108 1 1.3 1.3 22.8 22.8
0.92729 1 1.3 1.3 24.1 24.1
0.94245 1 1.3 1.3 25.3 25.3
0.96647 1 1.3 1.3 26.6 26.6
0.99952 1 1.3 1.3 27.8 27.8
1.36473 1 1.3 1.3 29.1 29.1
1.452 1 1.3 1.3 30.4 30.4
1.57381 1 1.3 1.3 31.6 31.6
1.58358 1 1.3 1.3 32.9 32.9
1.6829 1 1.3 1.3 34.2 34.2
1.70147 1 1.3 1.3 35.4 35.4
1.81216 1 1.3 1.3 36.7 36.7
1.83863 1 1.3 1.3 38.0 38.0
1.87009 1 1.3 1.3 39.2 39.2
2.02891 1 1.3 1.3 40.5 40.5
2.08425 1 1.3 1.3 41.8 41.8
2.10418 1 1.3 1.3 43.0 43.0
2.27725 1 1.3 1.3 44.3 44.3
2.30104 1 1.3 1.3 45.6 45.6
2.36376 1 1.3 1.3 46.8 46.8
2.5962 1 1.3 1.3 48.1 48.1
2.66358 1 1.3 1.3 49.4 49.4
2.70053 1 1.3 1.3 50.6 50.6
2.79113 1 1.3 1.3 51.9 51.9
2.81128 1 1.3 1.3 53.2 53.2
3.00314 1 1.3 1.3 54.4 54.4
3.04642 1 1.3 1.3 55.7 55.7
3.1015 1 1.3 1.3 57.0 57.0
3.12614 1 1.3 1.3 58.2 58.2
3.18658 1 1.3 1.3 59.5 59.5
3.25675 1 1.3 1.3 60.8 60.8
3.30989 1 1.3 1.3 62.0 62.0
3.47803 1 1.3 1.3 63.3 63.3
3.49341 1 1.3 1.3 64.6 64.6
3.64749 1 1.3 1.3 65.8 65.8
3.80312 1 1.3 1.3 67.1 67.1
3.85648 1 1.3 1.3 68.4 68.4
3.85753 1 1.3 1.3 69.6 69.6
3.96161 1 1.3 1.3 70.9 70.9
3.98185 1 1.3 1.3 72.2 72.2
4.0793 1 1.3 1.3 73.4 73.4
4.20726 1 1.3 1.3 74.7 74.7
4.51954 1 1.3 1.3 75.9 75.9
4.74385 1 1.3 1.3 77.2 77.2
5.14479 1 1.3 1.3 78.5 78.5
5.31511 1 1.3 1.3 79.7 79.7
5.52205 1 1.3 1.3 81.0 81.0
5.88787 1 1.3 1.3 82.3 82.3
5.94535 1 1.3 1.3 83.5 83.5
6.00513 1 1.3 1.3 84.8 84.8
6.13527 1 1.3 1.3 86.1 86.1
6.15103 1 1.3 1.3 87.3 87.3
6.19218 1 1.3 1.3 88.6 88.6
7.03115 1 1.3 1.3 89.9 89.9
7.39906 1 1.3 1.3 91.1 91.1
8.25465 1 1.3 1.3 92.4 92.4
8.93658 1 1.3 1.3 93.7 93.7
12.55184 1 1.3 1.3 94.9 94.9
13.39817 1 1.3 1.3 96.2 96.2
21.83272 1 1.3 1.3 97.5 97.5
22.56101 1 1.3 1.3 98.7 98.7
23.92309 1 1.3 1.3 100.0 100.0
Total 79 100.0 100.0 100.0 100.0 
## Classes 'freqtab' and 'data.frame':  80 obs. of  5 variables:
##  $ n      : num  1 1 1 1 1 1 1 1 1 1 ...
##  $ %      : num  1.3 1.3 1.3 1.3 1.3 1.3 1.3 1.3 1.3 1.3 ...
##  $ val%   : num  1.3 1.3 1.3 1.3 1.3 1.3 1.3 1.3 1.3 1.3 ...
##  $ %cum   : num  1.3 2.5 3.8 5.1 6.3 7.6 8.9 10.1 11.4 12.7 ...
##  $ val%cum: num  1.3 2.5 3.8 5.1 6.3 7.6 8.9 10.1 11.4 12.7 ...
x y
0.00359 1
0.0328 1
0.17513 1
0.18542 1
0.35171 1
0.44764 1
0.45507 1
0.50611 1
0.63089 1
0.65744 1
0.6704 1
0.75685 1
0.75729 1
0.77254 1
0.8064 1
0.82332 1
0.8904 1
0.91108 1
0.92729 1
0.94245 1
0.96647 1
0.99952 1
1.36473 1
1.452 1
1.57381 1
1.58358 1
1.6829 1
1.70147 1
1.81216 1
1.83863 1
1.87009 1
2.02891 1
2.08425 1
2.10418 1
2.27725 1
2.30104 1
2.36376 1
2.5962 1
2.66358 1
2.70053 1
2.79113 1
2.81128 1
3.00314 1
3.04642 1
3.1015 1
3.12614 1
3.18658 1
3.25675 1
3.30989 1
3.47803 1
3.49341 1
3.64749 1
3.80312 1
3.85648 1
3.85753 1
3.96161 1
3.98185 1
4.0793 1
4.20726 1
4.51954 1
4.74385 1
5.14479 1
5.31511 1
5.52205 1
5.88787 1
5.94535 1
6.00513 1
6.13527 1
6.15103 1
6.19218 1
7.03115 1
7.39906 1
8.25465 1
8.93658 1
12.55184 1
13.39817 1
21.83272 1
22.56101 1
23.92309 1 

## [1]  0.00359  4.00359  8.00359 12.00359 16.00359 20.00359 24.00359
Distancias Freq Rel_Freq Cum_Freq
(0.00359,4] 56 0.7179487 56
(4,8] 15 0.1923077 71
(8,12] 2 0.0256410 73
(12,16] 2 0.0256410 75
(16,20] 0 0.0000000 75
(20,24] 3 0.0384615 78 
## 'data.frame':    6 obs. of  4 variables:
##  $ Distancias: Factor w/ 6 levels "(0.00359,4]",..: 1 2 3 4 5 6
##  $ Freq      : int  56 15 2 2 0 3
##  $ Rel_Freq  : num  0.7179 0.1923 0.0256 0.0256 0 ...
##  $ Cum_Freq  : int  56 71 73 75 75 78
x y
(0.00359,4] 56
(4,8] 15
(8,12] 2
(12,16] 2
(16,20] 0
(20,24] 3 

summary(Gtm$Distancia)
##     Min.  1st Qu.   Median     Mean  3rd Qu.     Max. 
##  0.00359  0.95446  2.70053  3.83694  4.36340 23.92309

## 
##   The decimal point is at the |
## 
##    0 | 0022445567788888999900456677889
##    2 | 011334677880011233556899
##    4 | 00125713599
##    6 | 012204
##    8 | 39
##   10 | 
##   12 | 64
##   14 | 
##   16 | 
##   18 | 
##   20 | 8
##   22 | 69

2.9 Grafica de deslizamiento de Haiti agrupadas por los departamentos

n % val% %cum val%cum
0.03471 1 5 5 5 5
0.11071 1 5 5 10 10
0.19079 1 5 5 15 15
0.27505 1 5 5 20 20
0.51272 1 5 5 25 25
1.31659 1 5 5 30 30
1.33931 1 5 5 35 35
1.58489 1 5 5 40 40
1.80063 1 5 5 45 45
2.63565 1 5 5 50 50
2.72168 1 5 5 55 55
3.50201 1 5 5 60 60
4.41574 1 5 5 65 65
4.72379 1 5 5 70 70
5.23459 1 5 5 75 75
7.67473 1 5 5 80 80
7.86436 1 5 5 85 85
8.70343 1 5 5 90 90
12.13199 1 5 5 95 95
17.29836 1 5 5 100 100
Total 20 100 100 100 100 
## Classes 'freqtab' and 'data.frame':  21 obs. of  5 variables:
##  $ n      : num  1 1 1 1 1 1 1 1 1 1 ...
##  $ %      : num  5 5 5 5 5 5 5 5 5 5 ...
##  $ val%   : num  5 5 5 5 5 5 5 5 5 5 ...
##  $ %cum   : num  5 10 15 20 25 30 35 40 45 50 ...
##  $ val%cum: num  5 10 15 20 25 30 35 40 45 50 ...
x y
0.03471 1
0.11071 1
0.19079 1
0.27505 1
0.51272 1
1.31659 1
1.33931 1
1.58489 1
1.80063 1
2.63565 1
2.72168 1
3.50201 1
4.41574 1
4.72379 1
5.23459 1
7.67473 1
7.86436 1
8.70343 1
12.13199 1
17.29836 1 

## [1]  0.03471  4.03471  8.03471 12.03471 16.03471 20.03471
Distancias Freq Rel_Freq Cum_Freq
(0.0347,4.03] 11 0.5789474 11
(4.03,8.03] 5 0.2631579 16
(8.03,12] 1 0.0526316 17
(12,16] 1 0.0526316 18
(16,20] 1 0.0526316 19 
## 'data.frame':    5 obs. of  4 variables:
##  $ Distancias: Factor w/ 5 levels "(0.0347,4.03]",..: 1 2 3 4 5
##  $ Freq      : int  11 5 1 1 1
##  $ Rel_Freq  : num  0.5789 0.2632 0.0526 0.0526 0.0526
##  $ Cum_Freq  : int  11 16 17 18 19
x y
(0.0347,4.03] 11
(4.03,8.03] 5
(8.03,12] 1
(12,16] 1
(16,20] 1 

summary(Ht$Distancia)
##     Min.  1st Qu.   Median     Mean  3rd Qu.     Max. 
##  0.03471  1.11562  2.67867  4.20359  5.84462 17.29836

## 
##   The decimal point is 1 digit(s) to the right of the |
## 
##   0 | 0000111223344
##   0 | 55889
##   1 | 2
##   1 | 7

2.10 Gráfica de deslizamiento de Honduras agrupadas por los departamentos

n % val% %cum val%cum
0.28887 1 2.6 2.6 2.6 2.6
0.31238 1 2.6 2.6 5.3 5.3
0.36987 1 2.6 2.6 7.9 7.9
0.43391 1 2.6 2.6 10.5 10.5
0.74414 1 2.6 2.6 13.2 13.2
0.91552 1 2.6 2.6 15.8 15.8
0.97057 1 2.6 2.6 18.4 18.4
0.98377 1 2.6 2.6 21.1 21.1
1.23639 1 2.6 2.6 23.7 23.7
1.24404 1 2.6 2.6 26.3 26.3
1.30583 1 2.6 2.6 28.9 28.9
1.39095 1 2.6 2.6 31.6 31.6
1.85897 1 2.6 2.6 34.2 34.2
1.90052 1 2.6 2.6 36.8 36.8
2.00805 1 2.6 2.6 39.5 39.5
2.0083 1 2.6 2.6 42.1 42.1
2.21442 1 2.6 2.6 44.7 44.7
2.87349 1 2.6 2.6 47.4 47.4
2.91326 1 2.6 2.6 50.0 50.0
2.91594 1 2.6 2.6 52.6 52.6
2.99239 1 2.6 2.6 55.3 55.3
3.12986 1 2.6 2.6 57.9 57.9
3.25281 1 2.6 2.6 60.5 60.5
3.53737 1 2.6 2.6 63.2 63.2
3.54399 1 2.6 2.6 65.8 65.8
3.63962 1 2.6 2.6 68.4 68.4
3.69596 1 2.6 2.6 71.1 71.1
4.53362 1 2.6 2.6 73.7 73.7
4.69133 1 2.6 2.6 76.3 76.3
4.75791 1 2.6 2.6 78.9 78.9
5.79867 1 2.6 2.6 81.6 81.6
5.89721 1 2.6 2.6 84.2 84.2
6.66574 1 2.6 2.6 86.8 86.8
7.28575 1 2.6 2.6 89.5 89.5
8.52584 1 2.6 2.6 92.1 92.1
11.67237 1 2.6 2.6 94.7 94.7
17.28613 1 2.6 2.6 97.4 97.4
36.37629 1 2.6 2.6 100.0 100.0
Total 38 100.0 100.0 100.0 100.0 
## Classes 'freqtab' and 'data.frame':  39 obs. of  5 variables:
##  $ n      : num  1 1 1 1 1 1 1 1 1 1 ...
##  $ %      : num  2.6 2.6 2.6 2.6 2.6 2.6 2.6 2.6 2.6 2.6 ...
##  $ val%   : num  2.6 2.6 2.6 2.6 2.6 2.6 2.6 2.6 2.6 2.6 ...
##  $ %cum   : num  2.6 5.3 7.9 10.5 13.2 15.8 18.4 21.1 23.7 26.3 ...
##  $ val%cum: num  2.6 5.3 7.9 10.5 13.2 15.8 18.4 21.1 23.7 26.3 ...
x y
0.28887 1
0.31238 1
0.36987 1
0.43391 1
0.74414 1
0.91552 1
0.97057 1
0.98377 1
1.23639 1
1.24404 1
1.30583 1
1.39095 1
1.85897 1
1.90052 1
2.00805 1
2.0083 1
2.21442 1
2.87349 1
2.91326 1
2.91594 1
2.99239 1
3.12986 1
3.25281 1
3.53737 1
3.54399 1
3.63962 1
3.69596 1
4.53362 1
4.69133 1
4.75791 1
5.79867 1
5.89721 1
6.66574 1
7.28575 1
8.52584 1
11.67237 1
17.28613 1
36.37629 1 

## [1]  0.28887  6.28887 12.28887 18.28887 24.28887 30.28887 36.28887 42.28887
Distancias Freq Rel_Freq Cum_Freq
(0.289,6.29] 31 0.8378378 31
(6.29,12.3] 4 0.1081081 35
(12.3,18.3] 1 0.0270270 36
(18.3,24.3] 0 0.0000000 36
(24.3,30.3] 0 0.0000000 36
(30.3,36.3] 0 0.0000000 36
(36.3,42.3] 1 0.0270270 37 
## 'data.frame':    7 obs. of  4 variables:
##  $ Distancias: Factor w/ 7 levels "(0.289,6.29]",..: 1 2 3 4 5 6 7
##  $ Freq      : int  31 4 1 0 0 0 1
##  $ Rel_Freq  : num  0.838 0.108 0.027 0 0 ...
##  $ Cum_Freq  : int  31 35 36 36 36 36 37
x y
(0.289,6.29] 31
(6.29,12.3] 4
(12.3,18.3] 1
(18.3,24.3] 0
(24.3,30.3] 0
(30.3,36.3] 0
(36.3,42.3] 1 

summary(Hon$Distancia)
##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
##  0.2889  1.2595  2.9146  4.3730  4.6519 36.3763

## 
##   The decimal point is 1 digit(s) to the right of the |
## 
##   0 | 000011111111222223333334444
##   0 | 55566779
##   1 | 2
##   1 | 7
##   2 | 
##   2 | 
##   3 | 
##   3 | 6

## 
##   The decimal point is at the |
## 
##   2 | 8
##   3 | 
##   4 | 
##   5 | 
##   6 | 
##   7 | 6

## 
##   The decimal point is at the |
## 
##   2 | 8
##   3 | 
##   4 | 
##   5 | 
##   6 | 
##   7 | 6

2.12 Gráfica de deslizamiento de Jamaica agrupadas por los departamentos

n % val% %cum val%cum
0.21825 1 3 3 3.0 3.0
0.53886 1 3 3 6.1 6.1
0.56186 1 3 3 9.1 9.1
0.59599 1 3 3 12.1 12.1
0.71773 1 3 3 15.2 15.2
0.96514 1 3 3 18.2 18.2
1.08196 1 3 3 21.2 21.2
1.24727 1 3 3 24.2 24.2
1.71217 1 3 3 27.3 27.3
2.13878 1 3 3 30.3 30.3
2.78885 1 3 3 33.3 33.3
3.1793 1 3 3 36.4 36.4
3.60799 1 3 3 39.4 39.4
3.7758 1 3 3 42.4 42.4
3.96533 1 3 3 45.5 45.5
4.13454 1 3 3 48.5 48.5
4.46942 1 3 3 51.5 51.5
4.53632 1 3 3 54.5 54.5
4.57363 1 3 3 57.6 57.6
4.68732 1 3 3 60.6 60.6
5.02351 1 3 3 63.6 63.6
5.46381 1 3 3 66.7 66.7
5.8653 1 3 3 69.7 69.7
5.98731 1 3 3 72.7 72.7
6.5194 1 3 3 75.8 75.8
6.71269 1 3 3 78.8 78.8
7.52317 1 3 3 81.8 81.8
7.79027 1 3 3 84.8 84.8
7.81269 1 3 3 87.9 87.9
8.74635 1 3 3 90.9 90.9
9.53953 1 3 3 93.9 93.9
9.83051 1 3 3 97.0 97.0
10.84467 1 3 3 100.0 100.0
Total 33 100 100 100.0 100.0 
## Classes 'freqtab' and 'data.frame':  34 obs. of  5 variables:
##  $ n      : num  1 1 1 1 1 1 1 1 1 1 ...
##  $ %      : num  3 3 3 3 3 3 3 3 3 3 ...
##  $ val%   : num  3 3 3 3 3 3 3 3 3 3 ...
##  $ %cum   : num  3 6.1 9.1 12.1 15.2 18.2 21.2 24.2 27.3 30.3 ...
##  $ val%cum: num  3 6.1 9.1 12.1 15.2 18.2 21.2 24.2 27.3 30.3 ...
x y
0.21825 1
0.53886 1
0.56186 1
0.59599 1
0.71773 1
0.96514 1
1.08196 1
1.24727 1
1.71217 1
2.13878 1
2.78885 1
3.1793 1
3.60799 1
3.7758 1
3.96533 1
4.13454 1
4.46942 1
4.53632 1
4.57363 1
4.68732 1
5.02351 1
5.46381 1
5.8653 1
5.98731 1
6.5194 1
6.71269 1
7.52317 1
7.79027 1
7.81269 1
8.74635 1
9.53953 1
9.83051 1
10.84467 1 

## [1]  0.21825  2.21825  4.21825  6.21825  8.21825 10.21825 12.21825
Distancias Freq Rel_Freq Cum_Freq
(0.218,2.22] 9 0.28125 9
(2.22,4.22] 6 0.18750 15
(4.22,6.22] 8 0.25000 23
(6.22,8.22] 5 0.15625 28
(8.22,10.2] 3 0.09375 31
(10.2,12.2] 1 0.03125 32 
## 'data.frame':    6 obs. of  4 variables:
##  $ Distancias: Factor w/ 6 levels "(0.218,2.22]",..: 1 2 3 4 5 6
##  $ Freq      : int  9 6 8 5 3 1
##  $ Rel_Freq  : num  0.2812 0.1875 0.25 0.1562 0.0938 ...
##  $ Cum_Freq  : int  9 15 23 28 31 32
x y
(0.218,2.22] 9
(2.22,4.22] 6
(4.22,6.22] 8
(6.22,8.22] 5
(8.22,10.2] 3
(10.2,12.2] 1 

summary(Jmc$Distancia)
##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
##  0.2182  1.7122  4.4694  4.4593  6.5194 10.8447

## 
##   The decimal point is at the |
## 
##    0 | 256670127
##    2 | 18268
##    4 | 015567059
##    6 | 057588
##    8 | 758
##   10 | 8

2.13 Gráfica de deslizamiento de México agrupadas por los departamentos

n % val% %cum val%cum
0.15208 2 2.7 2.7 2.7 2.7
0.05648 1 1.4 1.4 4.1 4.1
0.08269 1 1.4 1.4 5.5 5.5
0.09971 1 1.4 1.4 6.8 6.8
0.28905 1 1.4 1.4 8.2 8.2
0.30326 1 1.4 1.4 9.6 9.6
0.31118 1 1.4 1.4 11.0 11.0
0.36051 1 1.4 1.4 12.3 12.3
0.50188 1 1.4 1.4 13.7 13.7
0.6355 1 1.4 1.4 15.1 15.1
0.64483 1 1.4 1.4 16.4 16.4
0.66626 1 1.4 1.4 17.8 17.8
0.76257 1 1.4 1.4 19.2 19.2
0.7834 1 1.4 1.4 20.5 20.5
0.88149 1 1.4 1.4 21.9 21.9
0.90692 1 1.4 1.4 23.3 23.3
0.94118 1 1.4 1.4 24.7 24.7
1.06048 1 1.4 1.4 26.0 26.0
1.27837 1 1.4 1.4 27.4 27.4
1.41805 1 1.4 1.4 28.8 28.8
1.52983 1 1.4 1.4 30.1 30.1
1.68294 1 1.4 1.4 31.5 31.5
1.69508 1 1.4 1.4 32.9 32.9
1.73469 1 1.4 1.4 34.2 34.2
1.93516 1 1.4 1.4 35.6 35.6
2.06743 1 1.4 1.4 37.0 37.0
2.15703 1 1.4 1.4 38.4 38.4
2.478 1 1.4 1.4 39.7 39.7
2.4977 1 1.4 1.4 41.1 41.1
2.59637 1 1.4 1.4 42.5 42.5
2.85382 1 1.4 1.4 43.8 43.8
3.05542 1 1.4 1.4 45.2 45.2
3.30074 1 1.4 1.4 46.6 46.6
3.36905 1 1.4 1.4 47.9 47.9
3.4274 1 1.4 1.4 49.3 49.3
3.49173 1 1.4 1.4 50.7 50.7
3.64682 1 1.4 1.4 52.1 52.1
3.7316 1 1.4 1.4 53.4 53.4
3.74149 1 1.4 1.4 54.8 54.8
4.1083 1 1.4 1.4 56.2 56.2
4.18059 1 1.4 1.4 57.5 57.5
4.19108 1 1.4 1.4 58.9 58.9
4.32007 1 1.4 1.4 60.3 60.3
4.40801 1 1.4 1.4 61.6 61.6
4.5182 1 1.4 1.4 63.0 63.0
4.68443 1 1.4 1.4 64.4 64.4
4.8168 1 1.4 1.4 65.8 65.8
5.24855 1 1.4 1.4 67.1 67.1
6.46156 1 1.4 1.4 68.5 68.5
6.8095 1 1.4 1.4 69.9 69.9
7.07138 1 1.4 1.4 71.2 71.2
7.93258 1 1.4 1.4 72.6 72.6
7.93996 1 1.4 1.4 74.0 74.0
8.28739 1 1.4 1.4 75.3 75.3
8.46579 1 1.4 1.4 76.7 76.7
8.93271 1 1.4 1.4 78.1 78.1
9.51003 1 1.4 1.4 79.5 79.5
9.56829 1 1.4 1.4 80.8 80.8
9.78251 1 1.4 1.4 82.2 82.2
10.88351 1 1.4 1.4 83.6 83.6
11.8349 1 1.4 1.4 84.9 84.9
12.33417 1 1.4 1.4 86.3 86.3
12.365 1 1.4 1.4 87.7 87.7
12.53758 1 1.4 1.4 89.0 89.0
14.04274 1 1.4 1.4 90.4 90.4
15.2226 1 1.4 1.4 91.8 91.8
15.74984 1 1.4 1.4 93.2 93.2
16.16369 1 1.4 1.4 94.5 94.5
19.41353 1 1.4 1.4 95.9 95.9
21.8006 1 1.4 1.4 97.3 97.3
24.67589 1 1.4 1.4 98.6 98.6
32.12708 1 1.4 1.4 100.0 100.0
Total 73 100.0 100.0 100.0 100.0 
## Classes 'freqtab' and 'data.frame':  73 obs. of  5 variables:
##  $ n      : num  2 1 1 1 1 1 1 1 1 1 ...
##  $ %      : num  2.7 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 ...
##  $ val%   : num  2.7 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 ...
##  $ %cum   : num  2.7 4.1 5.5 6.8 8.2 9.6 11 12.3 13.7 15.1 ...
##  $ val%cum: num  2.7 4.1 5.5 6.8 8.2 9.6 11 12.3 13.7 15.1 ...
x y
0.15208 2
0.05648 1
0.08269 1
0.09971 1
0.28905 1
0.30326 1
0.31118 1
0.36051 1
0.50188 1
0.6355 1
0.64483 1
0.66626 1
0.76257 1
0.7834 1
0.88149 1
0.90692 1
0.94118 1
1.06048 1
1.27837 1
1.41805 1
1.52983 1
1.68294 1
1.69508 1
1.73469 1
1.93516 1
2.06743 1
2.15703 1
2.478 1
2.4977 1
2.59637 1
2.85382 1
3.05542 1
3.30074 1
3.36905 1
3.4274 1
3.49173 1
3.64682 1
3.7316 1
3.74149 1
4.1083 1
4.18059 1
4.19108 1
4.32007 1
4.40801 1
4.5182 1
4.68443 1
4.8168 1
5.24855 1
6.46156 1
6.8095 1
7.07138 1
7.93258 1
7.93996 1
8.28739 1
8.46579 1
8.93271 1
9.51003 1
9.56829 1
9.78251 1
10.88351 1
11.8349 1
12.33417 1
12.365 1
12.53758 1
14.04274 1
15.2226 1
15.74984 1
16.16369 1
19.41353 1
21.8006 1
24.67589 1
32.12708 1 

## [1]  0.05648  5.05648 10.05648 15.05648 20.05648 25.05648 30.05648 35.05648
Distancias Freq Rel_Freq Cum_Freq
(0.0565,5.06] 47 0.6527778 47
(5.06,10.1] 12 0.1666667 59
(10.1,15.1] 6 0.0833333 65
(15.1,20.1] 4 0.0555556 69
(20.1,25.1] 2 0.0277778 71
(25.1,30.1] 0 0.0000000 71
(30.1,35.1] 1 0.0138889 72 
## 'data.frame':    7 obs. of  4 variables:
##  $ Distancias: Factor w/ 7 levels "(0.0565,5.06]",..: 1 2 3 4 5 6 7
##  $ Freq      : int  47 12 6 4 2 0 1
##  $ Rel_Freq  : num  0.6528 0.1667 0.0833 0.0556 0.0278 ...
##  $ Cum_Freq  : int  47 59 65 69 71 71 72
x y
(0.0565,5.06] 47
(5.06,10.1] 12
(10.1,15.1] 6
(15.1,20.1] 4
(20.1,25.1] 2
(25.1,30.1] 0
(30.1,35.1] 1 

summary(Mx$Distancia)
##     Min.  1st Qu.   Median     Mean  3rd Qu.     Max. 
##  0.05648  1.06048  3.49173  5.66670  8.28739 32.12708

## 
##   The decimal point is 1 digit(s) to the right of the |
## 
##   0 | 000000000111111111111222222222333333344444444
##   0 | 555567788889
##   1 | 000122234
##   1 | 5669
##   2 | 2
##   2 | 5
##   3 | 2

2.14 Gráfica de deslizamiento de Nicaragua agrupadas por los departamentos

n % val% %cum val%cum
0.37593 1 3.2 3.2 3.2 3.2
0.67752 1 3.2 3.2 6.5 6.5
1.36745 1 3.2 3.2 9.7 9.7
1.5673 1 3.2 3.2 12.9 12.9
1.68056 1 3.2 3.2 16.1 16.1
1.97784 1 3.2 3.2 19.4 19.4
2.4488 1 3.2 3.2 22.6 22.6
4.86364 1 3.2 3.2 25.8 25.8
5.59574 1 3.2 3.2 29.0 29.0
5.77119 1 3.2 3.2 32.3 32.3
5.84054 1 3.2 3.2 35.5 35.5
7.21108 1 3.2 3.2 38.7 38.7
10.61568 1 3.2 3.2 41.9 41.9
14.49301 1 3.2 3.2 45.2 45.2
18.92056 1 3.2 3.2 48.4 48.4
25.81514 1 3.2 3.2 51.6 51.6
28.90294 1 3.2 3.2 54.8 54.8
29.92927 1 3.2 3.2 58.1 58.1
29.94574 1 3.2 3.2 61.3 61.3
29.95253 1 3.2 3.2 64.5 64.5
30.27546 1 3.2 3.2 67.7 67.7
30.7707 1 3.2 3.2 71.0 71.0
30.99704 1 3.2 3.2 74.2 74.2
31.10125 1 3.2 3.2 77.4 77.4
31.14242 1 3.2 3.2 80.6 80.6
31.24511 1 3.2 3.2 83.9 83.9
31.3736 1 3.2 3.2 87.1 87.1
32.69694 1 3.2 3.2 90.3 90.3
32.77401 1 3.2 3.2 93.5 93.5
32.96402 1 3.2 3.2 96.8 96.8
54.90196 1 3.2 3.2 100.0 100.0
Total 31 100.0 100.0 100.0 100.0 
## Classes 'freqtab' and 'data.frame':  32 obs. of  5 variables:
##  $ n      : num  1 1 1 1 1 1 1 1 1 1 ...
##  $ %      : num  3.2 3.2 3.2 3.2 3.2 3.2 3.2 3.2 3.2 3.2 ...
##  $ val%   : num  3.2 3.2 3.2 3.2 3.2 3.2 3.2 3.2 3.2 3.2 ...
##  $ %cum   : num  3.2 6.5 9.7 12.9 16.1 19.4 22.6 25.8 29 32.3 ...
##  $ val%cum: num  3.2 6.5 9.7 12.9 16.1 19.4 22.6 25.8 29 32.3 ...
x y
0.37593 1
0.67752 1
1.36745 1
1.5673 1
1.68056 1
1.97784 1
2.4488 1
4.86364 1
5.59574 1
5.77119 1
5.84054 1
7.21108 1
10.61568 1
14.49301 1
18.92056 1
25.81514 1
28.90294 1
29.92927 1
29.94574 1
29.95253 1
30.27546 1
30.7707 1
30.99704 1
31.10125 1
31.14242 1
31.24511 1
31.3736 1
32.69694 1
32.77401 1
32.96402 1
54.90196 1 

## [1]  0.37593 11.37593 22.37593 33.37593 44.37593 55.37593
Distancias Freq Rel_Freq Cum_Freq
(0.376,11.4] 12 0.4000000 12
(11.4,22.4] 2 0.0666667 14
(22.4,33.4] 15 0.5000000 29
(33.4,44.4] 0 0.0000000 29
(44.4,55.4] 1 0.0333333 30 
## 'data.frame':    5 obs. of  4 variables:
##  $ Distancias: Factor w/ 5 levels "(0.376,11.4]",..: 1 2 3 4 5
##  $ Freq      : int  12 2 15 0 1
##  $ Rel_Freq  : num  0.4 0.0667 0.5 0 0.0333
##  $ Cum_Freq  : int  12 14 29 29 30
x y
(0.376,11.4] 12
(11.4,22.4] 2
(22.4,33.4] 15
(33.4,44.4] 0
(44.4,55.4] 1

n % val% %cum val%cum
0.37593 1 3.2 3.2 3.2 3.2
0.67752 1 3.2 3.2 6.5 6.5
1.36745 1 3.2 3.2 9.7 9.7
1.5673 1 3.2 3.2 12.9 12.9
1.68056 1 3.2 3.2 16.1 16.1
1.97784 1 3.2 3.2 19.4 19.4
2.4488 1 3.2 3.2 22.6 22.6
4.86364 1 3.2 3.2 25.8 25.8
5.59574 1 3.2 3.2 29.0 29.0
5.77119 1 3.2 3.2 32.3 32.3
5.84054 1 3.2 3.2 35.5 35.5
7.21108 1 3.2 3.2 38.7 38.7
10.61568 1 3.2 3.2 41.9 41.9
14.49301 1 3.2 3.2 45.2 45.2
18.92056 1 3.2 3.2 48.4 48.4
25.81514 1 3.2 3.2 51.6 51.6
28.90294 1 3.2 3.2 54.8 54.8
29.92927 1 3.2 3.2 58.1 58.1
29.94574 1 3.2 3.2 61.3 61.3
29.95253 1 3.2 3.2 64.5 64.5
30.27546 1 3.2 3.2 67.7 67.7
30.7707 1 3.2 3.2 71.0 71.0
30.99704 1 3.2 3.2 74.2 74.2
31.10125 1 3.2 3.2 77.4 77.4
31.14242 1 3.2 3.2 80.6 80.6
31.24511 1 3.2 3.2 83.9 83.9
31.3736 1 3.2 3.2 87.1 87.1
32.69694 1 3.2 3.2 90.3 90.3
32.77401 1 3.2 3.2 93.5 93.5
32.96402 1 3.2 3.2 96.8 96.8
54.90196 1 3.2 3.2 100.0 100.0
Total 31 100.0 100.0 100.0 100.0 
## Classes 'freqtab' and 'data.frame':  32 obs. of  5 variables:
##  $ n      : num  1 1 1 1 1 1 1 1 1 1 ...
##  $ %      : num  3.2 3.2 3.2 3.2 3.2 3.2 3.2 3.2 3.2 3.2 ...
##  $ val%   : num  3.2 3.2 3.2 3.2 3.2 3.2 3.2 3.2 3.2 3.2 ...
##  $ %cum   : num  3.2 6.5 9.7 12.9 16.1 19.4 22.6 25.8 29 32.3 ...
##  $ val%cum: num  3.2 6.5 9.7 12.9 16.1 19.4 22.6 25.8 29 32.3 ...
x y
0.37593 1
0.67752 1
1.36745 1
1.5673 1
1.68056 1
1.97784 1
2.4488 1
4.86364 1
5.59574 1
5.77119 1
5.84054 1
7.21108 1
10.61568 1
14.49301 1
18.92056 1
25.81514 1
28.90294 1
29.92927 1
29.94574 1
29.95253 1
30.27546 1
30.7707 1
30.99704 1
31.10125 1
31.14242 1
31.24511 1
31.3736 1
32.69694 1
32.77401 1
32.96402 1
54.90196 1 

summary(Ng$Distancia)
##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
##  0.3759  5.2297 25.8151 19.2966 31.0491 54.9020

## 
##   The decimal point is 1 digit(s) to the right of the |
## 
##   0 | 011222256667
##   1 | 149
##   2 | 69
##   3 | 0000111111333
##   4 | 
##   5 | 5

2.15 Gráfica de deslizamiento de Panamá agrupadas por los departamentos

n % val% %cum val%cum
0.09491 1 2.5 2.5 2.5 2.5
0.16894 1 2.5 2.5 5.0 5.0
0.18619 1 2.5 2.5 7.5 7.5
0.20365 1 2.5 2.5 10.0 10.0
0.21605 1 2.5 2.5 12.5 12.5
0.29869 1 2.5 2.5 15.0 15.0
0.35187 1 2.5 2.5 17.5 17.5
0.37999 1 2.5 2.5 20.0 20.0
0.48725 1 2.5 2.5 22.5 22.5
0.63948 1 2.5 2.5 25.0 25.0
0.64491 1 2.5 2.5 27.5 27.5
0.7476 1 2.5 2.5 30.0 30.0
0.7674 1 2.5 2.5 32.5 32.5
0.90169 1 2.5 2.5 35.0 35.0
1.41526 1 2.5 2.5 37.5 37.5
1.8033 1 2.5 2.5 40.0 40.0
1.80341 1 2.5 2.5 42.5 42.5
1.84596 1 2.5 2.5 45.0 45.0
2.24069 1 2.5 2.5 47.5 47.5
2.28589 1 2.5 2.5 50.0 50.0
2.44254 1 2.5 2.5 52.5 52.5
2.57852 1 2.5 2.5 55.0 55.0
2.59449 1 2.5 2.5 57.5 57.5
2.67409 1 2.5 2.5 60.0 60.0
2.81479 1 2.5 2.5 62.5 62.5
3.30848 1 2.5 2.5 65.0 65.0
3.33873 1 2.5 2.5 67.5 67.5
3.54386 1 2.5 2.5 70.0 70.0
3.66775 1 2.5 2.5 72.5 72.5
3.92621 1 2.5 2.5 75.0 75.0
4.18074 1 2.5 2.5 77.5 77.5
4.4563 1 2.5 2.5 80.0 80.0
4.74914 1 2.5 2.5 82.5 82.5
5.13913 1 2.5 2.5 85.0 85.0
5.97977 1 2.5 2.5 87.5 87.5
6.65185 1 2.5 2.5 90.0 90.0
6.74338 1 2.5 2.5 92.5 92.5
8.41491 1 2.5 2.5 95.0 95.0
9.837 1 2.5 2.5 97.5 97.5
13.40535 1 2.5 2.5 100.0 100.0
Total 40 100.0 100.0 100.0 100.0 
## Classes 'freqtab' and 'data.frame':  41 obs. of  5 variables:
##  $ n      : num  1 1 1 1 1 1 1 1 1 1 ...
##  $ %      : num  2.5 2.5 2.5 2.5 2.5 2.5 2.5 2.5 2.5 2.5 ...
##  $ val%   : num  2.5 2.5 2.5 2.5 2.5 2.5 2.5 2.5 2.5 2.5 ...
##  $ %cum   : num  2.5 5 7.5 10 12.5 15 17.5 20 22.5 25 ...
##  $ val%cum: num  2.5 5 7.5 10 12.5 15 17.5 20 22.5 25 ...
x y
0.09491 1
0.16894 1
0.18619 1
0.20365 1
0.21605 1
0.29869 1
0.35187 1
0.37999 1
0.48725 1
0.63948 1
0.64491 1
0.7476 1
0.7674 1
0.90169 1
1.41526 1
1.8033 1
1.80341 1
1.84596 1
2.24069 1
2.28589 1
2.44254 1
2.57852 1
2.59449 1
2.67409 1
2.81479 1
3.30848 1
3.33873 1
3.54386 1
3.66775 1
3.92621 1
4.18074 1
4.4563 1
4.74914 1
5.13913 1
5.97977 1
6.65185 1
6.74338 1
8.41491 1
9.837 1
13.40535 1 

## [1]  0.09491  2.09491  4.09491  6.09491  8.09491 10.09491 12.09491 14.09491
Distancias Freq Rel_Freq Cum_Freq
(0.0949,2.09] 17 0.4358974 17
(2.09,4.09] 12 0.3076923 29
(4.09,6.09] 5 0.1282051 34
(6.09,8.09] 2 0.0512821 36
(8.09,10.1] 2 0.0512821 38
(10.1,12.1] 0 0.0000000 38
(12.1,14.1] 1 0.0256410 39 
## 'data.frame':    7 obs. of  4 variables:
##  $ Distancias: Factor w/ 7 levels "(0.0949,2.09]",..: 1 2 3 4 5 6 7
##  $ Freq      : int  17 12 5 2 2 0 1
##  $ Rel_Freq  : num  0.4359 0.3077 0.1282 0.0513 0.0513 ...
##  $ Cum_Freq  : int  17 29 34 36 38 38 39
x y
(0.0949,2.09] 17
(2.09,4.09] 12
(4.09,6.09] 5
(6.09,8.09] 2
(8.09,10.1] 2
(10.1,12.1] 0
(12.1,14.1] 1 

summary(Pnm$Distancia)
##     Min.  1st Qu.   Median     Mean  3rd Qu.     Max. 
##  0.09491  0.64355  2.36422  2.94825  3.98984 13.40535

## 
##   The decimal point is at the |
## 
##    0 | 122223445667894888
##    2 | 234667833579
##    4 | 2571
##    6 | 077
##    8 | 48
##   10 | 
##   12 | 4

2.16 Gráfica de deslizamiento de Puerto rico agrupadas por los departamentos

n % val% %cum val%cum
1.40257 1 14.3 14.3 14.3 14.3
3.4909 1 14.3 14.3 28.6 28.6
3.65535 1 14.3 14.3 42.9 42.9
5.78872 1 14.3 14.3 57.1 57.1
6.8576 1 14.3 14.3 71.4 71.4
6.89036 1 14.3 14.3 85.7 85.7
6.91777 1 14.3 14.3 100.0 100.0
Total 7 100.0 100.0 100.0 100.0 
## Classes 'freqtab' and 'data.frame':  8 obs. of  5 variables:
##  $ n      : num  1 1 1 1 1 1 1 7
##  $ %      : num  14.3 14.3 14.3 14.3 14.3 14.3 14.3 100
##  $ val%   : num  14.3 14.3 14.3 14.3 14.3 14.3 14.3 100
##  $ %cum   : num  14.3 28.6 42.9 57.1 71.4 85.7 100 100
##  $ val%cum: num  14.3 28.6 42.9 57.1 71.4 85.7 100 100
x y
1.40257 1
3.4909 1
3.65535 1
5.78872 1
6.8576 1
6.89036 1
6.91777 1 

## [1] 1.40257 3.40257 5.40257 7.40257
Distancias Freq Rel_Freq Cum_Freq
(1.4,3.4] 0 0.0000000 0
(3.4,5.4] 2 0.3333333 2
(5.4,7.4] 4 0.6666667 6 
## 'data.frame':    3 obs. of  4 variables:
##  $ Distancias: Factor w/ 3 levels "(1.4,3.4]","(3.4,5.4]",..: 1 2 3
##  $ Freq      : int  0 2 4
##  $ Rel_Freq  : num  0 0.333 0.667
##  $ Cum_Freq  : int  0 2 6
x y
(1.4,3.4] 0
(3.4,5.4] 2
(5.4,7.4] 4 

summary(PR$Distancia)
##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
##   1.403   3.573   5.789   5.000   6.874   6.918

## 
##   The decimal point is at the |
## 
##   0 | 4
##   2 | 57
##   4 | 8
##   6 | 999

2.17 Gráfica de deslizamiento de República dominicana agrupadas por los departamentos

n % val% %cum val%cum
0.52969 1 6.7 6.7 6.7 6.7
0.55721 1 6.7 6.7 13.3 13.3
0.75284 1 6.7 6.7 20.0 20.0
0.885 1 6.7 6.7 26.7 26.7
1.10868 1 6.7 6.7 33.3 33.3
1.19636 1 6.7 6.7 40.0 40.0
1.54885 1 6.7 6.7 46.7 46.7
1.70298 1 6.7 6.7 53.3 53.3
1.72138 1 6.7 6.7 60.0 60.0
2.72462 1 6.7 6.7 66.7 66.7
3.72637 1 6.7 6.7 73.3 73.3
3.98059 1 6.7 6.7 80.0 80.0
4.31327 1 6.7 6.7 86.7 86.7
4.86398 1 6.7 6.7 93.3 93.3
5.71058 1 6.7 6.7 100.0 100.0
Total 15 100.0 100.0 100.0 100.0 
## Classes 'freqtab' and 'data.frame':  16 obs. of  5 variables:
##  $ n      : num  1 1 1 1 1 1 1 1 1 1 ...
##  $ %      : num  6.7 6.7 6.7 6.7 6.7 6.7 6.7 6.7 6.7 6.7 ...
##  $ val%   : num  6.7 6.7 6.7 6.7 6.7 6.7 6.7 6.7 6.7 6.7 ...
##  $ %cum   : num  6.7 13.3 20 26.7 33.3 40 46.7 53.3 60 66.7 ...
##  $ val%cum: num  6.7 13.3 20 26.7 33.3 40 46.7 53.3 60 66.7 ...
x y
0.52969 1
0.55721 1
0.75284 1
0.885 1
1.10868 1
1.19636 1
1.54885 1
1.70298 1
1.72138 1
2.72462 1
3.72637 1
3.98059 1
4.31327 1
4.86398 1
5.71058 1 

## [1] 0.52969 2.52969 4.52969 6.52969
Distancias Freq Rel_Freq Cum_Freq
(0.53,2.53] 8 0.5714286 8
(2.53,4.53] 4 0.2857143 12
(4.53,6.53] 2 0.1428571 14 
## 'data.frame':    3 obs. of  4 variables:
##  $ Distancias: Factor w/ 3 levels "(0.53,2.53]",..: 1 2 3
##  $ Freq      : int  8 4 2
##  $ Rel_Freq  : num  0.571 0.286 0.143
##  $ Cum_Freq  : int  8 12 14
x y
(0.53,2.53] 8
(2.53,4.53] 4
(4.53,6.53] 2 

summary(RD$Distancia)
##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
##  0.5297  0.9968  1.7030  2.3548  3.8535  5.7106

## 
##   The decimal point is at the |
## 
##   0 | 568912577
##   2 | 77
##   4 | 0397

2.18 Gráfica de deslizamiento de El Salvador agrupadas por los departamentos

n % val% %cum val%cum
0.00273 1 4.5 4.5 4.5 4.5
0.31933 1 4.5 4.5 9.1 9.1
0.49346 1 4.5 4.5 13.6 13.6
1.1581 1 4.5 4.5 18.2 18.2
3.01739 1 4.5 4.5 22.7 22.7
3.22235 1 4.5 4.5 27.3 27.3
3.25227 1 4.5 4.5 31.8 31.8
4.03125 1 4.5 4.5 36.4 36.4
4.23875 1 4.5 4.5 40.9 40.9
4.60655 1 4.5 4.5 45.5 45.5
4.67722 1 4.5 4.5 50.0 50.0
4.86219 1 4.5 4.5 54.5 54.5
4.96416 1 4.5 4.5 59.1 59.1
5.29901 1 4.5 4.5 63.6 63.6
5.90726 1 4.5 4.5 68.2 68.2
6.94536 1 4.5 4.5 72.7 72.7
7.60946 1 4.5 4.5 77.3 77.3
8.82525 1 4.5 4.5 81.8 81.8
8.8321 1 4.5 4.5 86.4 86.4
9.87553 1 4.5 4.5 90.9 90.9
9.97227 1 4.5 4.5 95.5 95.5
10.06695 1 4.5 4.5 100.0 100.0
Total 22 100.0 100.0 100.0 100.0 
## Classes 'freqtab' and 'data.frame':  23 obs. of  5 variables:
##  $ n      : num  1 1 1 1 1 1 1 1 1 1 ...
##  $ %      : num  4.5 4.5 4.5 4.5 4.5 4.5 4.5 4.5 4.5 4.5 ...
##  $ val%   : num  4.5 4.5 4.5 4.5 4.5 4.5 4.5 4.5 4.5 4.5 ...
##  $ %cum   : num  4.5 9.1 13.6 18.2 22.7 27.3 31.8 36.4 40.9 45.5 ...
##  $ val%cum: num  4.5 9.1 13.6 18.2 22.7 27.3 31.8 36.4 40.9 45.5 ...
x y
0.00273 1
0.31933 1
0.49346 1
1.1581 1
3.01739 1
3.22235 1
3.25227 1
4.03125 1
4.23875 1
4.60655 1
4.67722 1
4.86219 1
4.96416 1
5.29901 1
5.90726 1
6.94536 1
7.60946 1
8.82525 1
8.8321 1
9.87553 1
9.97227 1
10.06695 1 

## [1]  0.00273  3.00273  6.00273  9.00273 12.00273
Distancias Freq Rel_Freq Cum_Freq
(0.00273,3] 3 0.1428571 3
(3,6] 11 0.5238095 14
(6,9] 4 0.1904762 18
(9,12] 3 0.1428571 21 
## 'data.frame':    4 obs. of  4 variables:
##  $ Distancias: Factor w/ 4 levels "(0.00273,3]",..: 1 2 3 4
##  $ Freq      : int  3 11 4 3
##  $ Rel_Freq  : num  0.143 0.524 0.19 0.143
##  $ Cum_Freq  : int  3 14 18 21
x y
(0.00273,3] 3
(3,6] 11
(6,9] 4
(9,12] 3 

summary(Sal$Distancia)
##     Min.  1st Qu.   Median     Mean  3rd Qu.     Max. 
##  0.00273  3.22983  4.76971  5.09904  7.44344 10.06695

## 
##   The decimal point is 1 digit(s) to the right of the |
## 
##   0 | 000133344
##   0 | 5555567899
##   1 | 000

2.19 Gráfica de deslizamiento de Santa lucia agrupadas por los departamentos

n % val% %cum val%cum
0.96933 1 12.5 12.5 12.5 12.5
1.24758 1 12.5 12.5 25.0 25.0
1.56516 1 12.5 12.5 37.5 37.5
2.60663 1 12.5 12.5 50.0 50.0
2.61752 1 12.5 12.5 62.5 62.5
2.74715 1 12.5 12.5 75.0 75.0
3.81469 1 12.5 12.5 87.5 87.5
6.13309 1 12.5 12.5 100.0 100.0
Total 8 100.0 100.0 100.0 100.0 
## Classes 'freqtab' and 'data.frame':  9 obs. of  5 variables:
##  $ n      : num  1 1 1 1 1 1 1 1 8
##  $ %      : num  12.5 12.5 12.5 12.5 12.5 12.5 12.5 12.5 100
##  $ val%   : num  12.5 12.5 12.5 12.5 12.5 12.5 12.5 12.5 100
##  $ %cum   : num  12.5 25 37.5 50 62.5 75 87.5 100 100
##  $ val%cum: num  12.5 25 37.5 50 62.5 75 87.5 100 100
x y
0.96933 1
1.24758 1
1.56516 1
2.60663 1
2.61752 1
2.74715 1
3.81469 1
6.13309 1 

## [1] 0.96933 2.96933 4.96933 6.96933
Distancias Freq Rel_Freq Cum_Freq
(0.969,2.97] 5 0.7142857 5
(2.97,4.97] 1 0.1428571 6
(4.97,6.97] 1 0.1428571 7 
## 'data.frame':    3 obs. of  4 variables:
##  $ Distancias: Factor w/ 3 levels "(0.969,2.97]",..: 1 2 3
##  $ Freq      : int  5 1 1
##  $ Rel_Freq  : num  0.714 0.143 0.143
##  $ Cum_Freq  : int  5 6 7
x y
(0.969,2.97] 5
(2.97,4.97] 1
(4.97,6.97] 1 

summary(St$Distancia)
##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
##  0.9693  1.4858  2.6121  2.7126  3.0140  6.1331

## 
##   The decimal point is at the |
## 
##   0 | 026
##   2 | 6678
##   4 | 
##   6 | 1

2.20 Grafica de deslizamiento de Trinidad y Tobago agrupadas por los departamentos

n % val% %cum val%cum
33.10893 2 3.2 3.2 3.2 3.2
0.38521 1 1.6 1.6 4.8 4.8
0.61975 1 1.6 1.6 6.3 6.3
0.91163 1 1.6 1.6 7.9 7.9
0.92162 1 1.6 1.6 9.5 9.5
1.07831 1 1.6 1.6 11.1 11.1
1.83626 1 1.6 1.6 12.7 12.7
1.84331 1 1.6 1.6 14.3 14.3
2.00931 1 1.6 1.6 15.9 15.9
2.15046 1 1.6 1.6 17.5 17.5
2.24772 1 1.6 1.6 19.0 19.0
2.54016 1 1.6 1.6 20.6 20.6
2.57071 1 1.6 1.6 22.2 22.2
2.63186 1 1.6 1.6 23.8 23.8
2.64003 1 1.6 1.6 25.4 25.4
2.66802 1 1.6 1.6 27.0 27.0
3.08955 1 1.6 1.6 28.6 28.6
3.22335 1 1.6 1.6 30.2 30.2
3.33629 1 1.6 1.6 31.7 31.7
3.3624 1 1.6 1.6 33.3 33.3
3.48176 1 1.6 1.6 34.9 34.9
3.752 1 1.6 1.6 36.5 36.5
3.88123 1 1.6 1.6 38.1 38.1
4.00979 1 1.6 1.6 39.7 39.7
4.21321 1 1.6 1.6 41.3 41.3
4.33904 1 1.6 1.6 42.9 42.9
4.50278 1 1.6 1.6 44.4 44.4
4.64073 1 1.6 1.6 46.0 46.0
4.66234 1 1.6 1.6 47.6 47.6
4.68038 1 1.6 1.6 49.2 49.2
5.62092 1 1.6 1.6 50.8 50.8
5.73985 1 1.6 1.6 52.4 52.4
5.91101 1 1.6 1.6 54.0 54.0
6.35974 1 1.6 1.6 55.6 55.6
6.39375 1 1.6 1.6 57.1 57.1
6.58396 1 1.6 1.6 58.7 58.7
6.81393 1 1.6 1.6 60.3 60.3
6.91642 1 1.6 1.6 61.9 61.9
6.95807 1 1.6 1.6 63.5 63.5
7.24469 1 1.6 1.6 65.1 65.1
7.33295 1 1.6 1.6 66.7 66.7
7.37181 1 1.6 1.6 68.3 68.3
7.4331 1 1.6 1.6 69.8 69.8
7.47816 1 1.6 1.6 71.4 71.4
7.87263 1 1.6 1.6 73.0 73.0
8.24676 1 1.6 1.6 74.6 74.6
8.41931 1 1.6 1.6 76.2 76.2
8.44112 1 1.6 1.6 77.8 77.8
8.55164 1 1.6 1.6 79.4 79.4
8.62938 1 1.6 1.6 81.0 81.0
9.11607 1 1.6 1.6 82.5 82.5
9.42494 1 1.6 1.6 84.1 84.1
10.61854 1 1.6 1.6 85.7 85.7
11.75674 1 1.6 1.6 87.3 87.3
13.34116 1 1.6 1.6 88.9 88.9
13.759 1 1.6 1.6 90.5 90.5
16.73194 1 1.6 1.6 92.1 92.1
22.47289 1 1.6 1.6 93.7 93.7
26.68822 1 1.6 1.6 95.2 95.2
29.28864 1 1.6 1.6 96.8 96.8
30.29383 1 1.6 1.6 98.4 98.4
33.51924 1 1.6 1.6 100.0 100.0
Total 63 100.0 100.0 100.0 100.0 
## Classes 'freqtab' and 'data.frame':  63 obs. of  5 variables:
##  $ n      : num  2 1 1 1 1 1 1 1 1 1 ...
##  $ %      : num  3.2 1.6 1.6 1.6 1.6 1.6 1.6 1.6 1.6 1.6 ...
##  $ val%   : num  3.2 1.6 1.6 1.6 1.6 1.6 1.6 1.6 1.6 1.6 ...
##  $ %cum   : num  3.2 4.8 6.3 7.9 9.5 11.1 12.7 14.3 15.9 17.5 ...
##  $ val%cum: num  3.2 4.8 6.3 7.9 9.5 11.1 12.7 14.3 15.9 17.5 ...
x y
33.10893 2
0.38521 1
0.61975 1
0.91163 1
0.92162 1
1.07831 1
1.83626 1
1.84331 1
2.00931 1
2.15046 1
2.24772 1
2.54016 1
2.57071 1
2.63186 1
2.64003 1
2.66802 1
3.08955 1
3.22335 1
3.33629 1
3.3624 1
3.48176 1
3.752 1
3.88123 1
4.00979 1
4.21321 1
4.33904 1
4.50278 1
4.64073 1
4.66234 1
4.68038 1
5.62092 1
5.73985 1
5.91101 1
6.35974 1
6.39375 1
6.58396 1
6.81393 1
6.91642 1
6.95807 1
7.24469 1
7.33295 1
7.37181 1
7.4331 1
7.47816 1
7.87263 1
8.24676 1
8.41931 1
8.44112 1
8.55164 1
8.62938 1
9.11607 1
9.42494 1
10.61854 1
11.75674 1
13.34116 1
13.759 1
16.73194 1
22.47289 1
26.68822 1
29.28864 1
30.29383 1
33.51924 1 

## [1]  0.38521  5.38521 10.38521 15.38521 20.38521 25.38521 30.38521 35.38521
Distancias Freq Rel_Freq Cum_Freq
(0.385,5.39] 28 0.4516129 28
(5.39,10.4] 22 0.3548387 50
(10.4,15.4] 4 0.0645161 54
(15.4,20.4] 1 0.0161290 55
(20.4,25.4] 1 0.0161290 56
(25.4,30.4] 3 0.0483871 59
(30.4,35.4] 3 0.0483871 62 
## 'data.frame':    7 obs. of  4 variables:
##  $ Distancias: Factor w/ 7 levels "(0.385,5.39]",..: 1 2 3 4 5 6 7
##  $ Freq      : int  28 22 4 1 1 3 3
##  $ Rel_Freq  : num  0.4516 0.3548 0.0645 0.0161 0.0161 ...
##  $ Cum_Freq  : int  28 50 54 55 56 59 62
x y
(0.385,5.39] 28
(5.39,10.4] 22
(10.4,15.4] 4
(15.4,20.4] 1
(20.4,25.4] 1
(25.4,30.4] 3
(30.4,35.4] 3 

summary(TT$Distancia)
##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
##  0.3852  3.1564  5.9110  8.2504  8.4964 33.5192

## 
##   The decimal point is 1 digit(s) to the right of the |
## 
##   0 | 0111122222333333333344444
##   0 | 55556666677777777788889999
##   1 | 1234
##   1 | 7
##   2 | 2
##   2 | 79
##   3 | 0334

Gráfico Circular de Canadá por ciudades

## 
##   The decimal point is 1 digit(s) to the right of the |
## 
##   0 | 222334
##   0 | 55
##   1 | 22

3. DISTANCIA DE DESLIZAMIENTO DE 37 PAÍSES

Gráfica de todos los países con el valor del deslizamiento total por país

## Warning: Removed 1 rows containing missing values (position_stack).

Este valor es porcentual, el cual nos permite conocer más fácil la cantidad de terreno deslizado a partir del total de deslizamiento total de la forma:

x<- Total deslizado en canadá

f<- porcentaje de la ciudad “n”

(f*100)/x = Total terreno deslizado por ciudad en metros

“También nos permite conocer más fácil los máximos y mínimos”

4. DIAGRAMAS DE TALLO DE HOJAS GUATEMALA

Estos diagramas nos ayuda a reagrupar la información de forma numérica, de modo que logramos comprender mejor la ubicación de los datos, máximos mínimos, cantidad de datos por cada número de cifras, etc. ### 4.8 Distancias de desplazamiento registradas en Guatemala

## 
##   The decimal point is at the |
## 
##    0 | 0022445567788888999900456677889
##    2 | 011334677880011233556899
##    4 | 00125713599
##    6 | 012204
##    8 | 39
##   10 | 
##   12 | 64
##   14 | 
##   16 | 
##   18 | 
##   20 | 8
##   22 | 69

4.2 Tabla

DATOS (X= Frecuencia Frecuencia acumulada X^2
0 4 4 0
2 2 6 8
4 3 9 48
5 3 12 75
6 3 15 108
7 4 19 196
8 8 27 512
9 5 32 405
20 3 35 1200
21 4 39 1764
22 1 40 484
23 4 44 2116
24 4 48 2304
25 1 49 625
26 2 51 1352
27 2 53 1458
28 3 56 2352
29 2 58 1682
40 2 60 3200
41 2 62 3362
42 1 63 1764
43 1 64 1849
45 2 66 4050
47 1 67 2209
49 2 69 4802
60 2 71 7200
61 1 72 3721
62 2 74 7688
64 2 76 8192
69 2 78 9522
83 1 79 6889
89 2 81 15842
TOTAL 2127 81 96979

4.23 ANALISIS DE DATOS

Media

Media  <- 2127
frecuencia <- 81
Media2 <- 96979
prom_x <- Media/frecuencia
prom_x
## [1] 26.25926

Mediana

mediana <- (frecuencia + 1)/2
mediana
## [1] 41

corresponde al valor de 22

Moda 8 <- se repite 8 veces

rango medio

rango_medio <- frecuencia/2
rango_medio
## [1] 40.5

Cuartiles

Q2 <- mediana
Q1<- (25*frecuencia)/100
Q3 <- (75*frecuencia)/100
Q1
## [1] 20.25
Q2
## [1] 41
Q3
## [1] 60.75
rango_intercuartil <- Q3-Q1
rango_intercuartil
## [1] 40.5

4.23 Gráfico circular de Guatemala por Estados

4.24 Diagrama caja y bigotes

5. COMPARACIÓN DE DATOS ENTRE PAISES POR ESTADOS

5.1 GRAFICA DE DESLIZAMIENTO POR ESTADOS “COLOMBIA VS BELIZE”

Belize solo tiene un dato registrado, sin embargo colombia tiene varios, aunque su valor medio supera los 10 de deslizamiento.

5.2 GRÁFICA DE DESLIZAMIENTO POR ESTADOS CANADÁ VS ESTADOS UNIDOS

Comparación de estados unidos, sin embargo la media muestral de estados unidos por estado oscila entre los 25 metros, por otro lado Canadá cuenta con una media de 8, los deslizamientos de Estados unidos tienden a ser 3 veces mayores que los de canadá.

## Warning: Removed 1 rows containing missing values (geom_bar).

6.CONCLUSIONES

Se utilizó los conocimientos aprendidos de analisis estadistico para comprender los procesos geológicos de desplazamientos, utilizando el programa R Studio para detallar datos sobre la mediana, media, rango, entre ciudades, estados y paises. Entre ellos, se consiguió comparar datos de deslizamiento mediante gráficas utilizando códigos y filtros de una cantidad grandísima de datos, lo cual permite apreciar la gran utilidad de esta plataforma.

Se logró analizar datos de deslizamientos para algunos países, la mayoría ubicados en Centroamérica. Una de las zonas interés, fue Guatemala, la cual cuenta con 81 deslizamientos datados desde el 2007, un número bastante elevado comparado con otros países como Perú. Las causas de esta gran cantidad de deslizamientos son: Las fuertes lluvias, las empinadas pendientes y la topografía irregular del terreno. Con la ayuda del sistema de información geográfica Google Earth, realizamos un perfil de elevación de la zona de El Cerritos y las Torres, donde se presentaron fuertes deslizamientos en el 2007, en esta imagen se pueden evidenciar algunas características del área ya mencionadas. Por último, se hallaron los valores de las medidas de tendencia central como la moda (22), mediana (41), media (26.25), rango medio (40.5) y los valores de las medidas de localización (Q1= 20.25, Q2= 41, Q3=60.75).

7.BIBLIOGRAFÍA