Tesis Mortalidad Infantil
Censo, conteos, encuesta intercensal
La siguiente tabla muestra las viviendas con accesos a agua, drenaje y electricidad en México
El acceso de servicios de Agua y Drenaje en México, tiene una tendencia de crecimiento importante, mientras que para 2020 el 97.2% de las viviendas tienen acceso a agua y 96.1% a drenaje, en 1990 los accesos eran de 75.7% y 63% respectivamente.
TOTAL MEXICO
Analizar los niveles a total México, se omiten muchas carencias que pueden ser visibles a nivel estado y municipio. Al analizar a nivel estado, podemos ver que para el anio 2000, todavía había 5 que menos del 70% de sus viviendas tenian acceso a agua (Guerrero, Oaxaca, Chiapas, Veracruz y Tabasco). Mientras que para drenaje eran 9, agregandose a la lista Yucatan, San Luis Potosi, Campeche, Puebla, Hidalgo pero sin incluir Tabasco en donde las viviendas tenían un acceso del 85.4% en Drenaje como se puede observar en la siguiente tabla y grafica
`summarise()` has grouped output by 'anio', 'ENTIDAD'. You can override using
the `.groups` argument.Otra manera de visualizar es ver todos los anios juntos
`summarise()` has grouped output by 'anio'. You can override using the
`.groups` argument.
`summarise()` has grouped output by 'anio'. You can override using the
`.groups` argument.
Misma situación que un análisis a nivel total país, el nivel estatal esconde muchas carencias que son visibles cuando analizamos municipalmente las carencias en servicios de agua y drenaje.
En el siguiente grafico de dispersión se muestran a nivel municipio (2,400 municipios aprox) cuantos de estos tienen al menos el 60% de sus viviendas acceso a agua potable y drenaje, y llamaré ” municipios muy carentes” a los municipios que tienen en ambos indicadores menos del 60% y llamaré “municipio carentes” a los que solo uno de los dos indicadores (acceso a agua o drenaje) es menor al 60% y el otro mayor al 60% y por último llamaré “municipios con servicios” a los municipios con los dos indicadores arriba del 60%
###Total Mexico
`summarise()` has grouped output by 'anio', 'entidad_modif'. You can override
using the `.groups` argument.
Dividiremos en 3 diferentes municipios, con la idea de que en uno se muestre realmente el progreso en el periodo analizado Luego otro grupo de municipios en donde no haya mucho cambio en los servicios o el cambio no sea tan marcado Y por ultimo otros municipios
`summarise()` has grouped output by 'anio', 'entidad_modif', 'NOM_MUN'. You can
override using the `.groups` argument.
Ahora miremos la composición de los grupos generados
`summarise()` has grouped output by 'anio', 'entidad_modif', 'NOM_MUN'. You can
override using the `.groups` argument.
`summarise()` has grouped output by 'anio', 'color_grafica'. You can override
using the `.groups` argument.
Municipios muy carentas
`summarise()` has grouped output by 'anio'. You can override using the
`.groups` argument.
`summarise()` has grouped output by 'anio'. You can override using the
`.groups` argument.
Un grafico todavía más revelador es que dividimos la región seleccionada entre municipios rurales y urbanos. Rurales son aquellos municipios con menos de 2,500 habitantes.
Así encontramos que de los estados seleccionados en muy carentes, al dividirlo en rural y urbano, se puede observar que en la zona rural, para el año 2000 en los estados muy carentes solo el 14% de sus municipios contaban con servicios arriba del 60% y del urbano solo el 22% de los municipios
`summarise()` has grouped output by 'anio', 'entidad_modif', 'NOM_MUN',
'ent_mun'. You can override using the `.groups` argument.
`summarise()` has grouped output by 'anio', 'color_grafica', 'municipio_rural'.
You can override using the `.groups` argument.
Observando el siguiente gráfico, se puede observar que hay una evolución (de rojo a verde) de los municipios seleccionados como muestra en donde la reducción de mortalidad debería verse marcada a partir del 2000 a diferencia del segundo grupo encontrado que no mejora mucho en servicios
Estados muy carentes con crecimiento entre 2000 y 2005
`summarise()` has grouped output by 'anio', 'NUM_ENTIDAD', 'entidad_modif',
'NOM_MUN', 'faceting_municipios'. You can override using the `.groups`
argument.
Veamos los nacimientos totales
`summarise()` has grouped output by 'menor_5', 'diarrea', 'anio_ocurrido_real',
'entidad_residencia', 'municipio_residencia', 'ENT_MUN_LLAVE'. You can override
using the `.groups` argument.
`summarise()` has grouped output by 'anio_ocurrido_real'. You can override
using the `.groups` argument.
`geom_smooth()` using formula = 'y ~ x'
`summarise()` has grouped output by 'menor_5', 'diarrea', 'anio_ocurrido_real',
'entidad_residencia', 'municipio_residencia', 'ENT_MUN_LLAVE'. You can override
using the `.groups` argument.
`summarise()` has grouped output by 'anio_ocurrido_real'. You can override
using the `.groups` argument.
`summarise()` has grouped output by 'menor_5', 'diarrea', 'anio_ocurrido_real',
'entidad_residencia', 'municipio_residencia', 'ENT_MUN_LLAVE'. You can override
using the `.groups` argument.
`summarise()` has grouped output by 'anio_ocurrido_real'. You can override
using the `.groups` argument.
`geom_smooth()` using formula = 'y ~ x'
`summarise()` has grouped output by 'menor_5', 'diarrea', 'anio_ocurrido_real',
'entidad_residencia', 'municipio_residencia', 'ENT_MUN_LLAVE'. You can override
using the `.groups` argument.
`summarise()` has grouped output by 'anio_ocurrido_real'. You can override
using the `.groups` argument.
`summarise()` has grouped output by 'menor_5', 'diarrea', 'anio_ocurrido_real',
'entidad_residencia', 'municipio_residencia', 'ENT_MUN_LLAVE'. You can override
using the `.groups` argument.
`summarise()` has grouped output by 'anio_ocurrido_real'. You can override
using the `.groups` argument.
`geom_smooth()` using formula = 'y ~ x'
`summarise()` has grouped output by 'menor_5', 'diarrea', 'anio_ocurrido_real',
'entidad_residencia', 'municipio_residencia', 'ENT_MUN_LLAVE'. You can override
using the `.groups` argument.
`summarise()` has grouped output by 'anio_ocurrido_real'. You can override
using the `.groups` argument.
`geom_smooth()` using formula = 'y ~ x'
`summarise()` has grouped output by 'menor_5', 'diarrea', 'anio_ocurrido_real',
'entidad_residencia', 'municipio_residencia', 'ENT_MUN_LLAVE'. You can override
using the `.groups` argument.
`summarise()` has grouped output by 'anio_ocurrido_real'. You can override
using the `.groups` argument.
`geom_smooth()` using formula = 'y ~ x'
`summarise()` has grouped output by 'menor_5', 'diarrea', 'anio_ocurrido_real',
'entidad_residencia', 'municipio_residencia', 'ENT_MUN_LLAVE'. You can override
using the `.groups` argument.
`summarise()` has grouped output by 'anio_ocurrido_real'. You can override
using the `.groups` argument.
`geom_smooth()` using formula = 'y ~ x'
`summarise()` has grouped output by 'menor_5', 'diarrea', 'anio_ocurrido_real',
'entidad_residencia', 'municipio_residencia', 'ENT_MUN_LLAVE'. You can override
using the `.groups` argument.
`summarise()` has grouped output by 'anio_ocurrido_real'. You can override
using the `.groups` argument.
`geom_smooth()` using formula = 'y ~ x'
`summarise()` has grouped output by 'menor_5', 'diarrea', 'anio_ocurrido_real',
'entidad_residencia', 'municipio_residencia', 'ENT_MUN_LLAVE'. You can override
using the `.groups` argument.
`summarise()` has grouped output by 'anio_ocurrido_real'. You can override
using the `.groups` argument.
`geom_smooth()` using formula = 'y ~ x'
`summarise()` has grouped output by 'menor_5', 'diarrea', 'anio_ocurrido_real',
'entidad_residencia', 'municipio_residencia', 'ENT_MUN_LLAVE'. You can override
using the `.groups` argument.
`summarise()` has grouped output by 'anio_ocurrido_real'. You can override
using the `.groups` argument.
`geom_smooth()` using formula = 'y ~ x'
`summarise()` has grouped output by 'menor_5', 'diarrea', 'anio_ocurrido_real',
'entidad_residencia', 'municipio_residencia', 'ENT_MUN_LLAVE'. You can override
using the `.groups` argument.
`summarise()` has grouped output by 'anio_ocurrido_real'. You can override
using the `.groups` argument.
`geom_smooth()` using formula = 'y ~ x'
`summarise()` has grouped output by 'menor_5', 'diarrea', 'anio_ocurrido_real',
'entidad_residencia', 'municipio_residencia', 'ENT_MUN_LLAVE'. You can override
using the `.groups` argument.
`summarise()` has grouped output by 'anio_ocurrido_real'. You can override
using the `.groups` argument.
`geom_smooth()` using formula = 'y ~ x'
`summarise()` has grouped output by 'menor_5', 'diarrea', 'anio_ocurrido_real',
'entidad_residencia', 'municipio_residencia', 'ENT_MUN_LLAVE'. You can override
using the `.groups` argument.
`summarise()` has grouped output by 'anio_ocurrido_real'. You can override
using the `.groups` argument.
`geom_smooth()` using formula = 'y ~ x'
`summarise()` has grouped output by 'menor_5', 'diarrea', 'anio_ocurrido_real',
'entidad_residencia', 'municipio_residencia', 'ENT_MUN_LLAVE'. You can override
using the `.groups` argument.
`summarise()` has grouped output by 'anio_ocurrido_real'. You can override
using the `.groups` argument.
`geom_smooth()` using formula = 'y ~ x'
`summarise()` has grouped output by 'menor_5', 'diarrea', 'anio_ocurrido_real',
'entidad_residencia', 'municipio_residencia', 'ENT_MUN_LLAVE'. You can override
using the `.groups` argument.
`summarise()` has grouped output by 'anio_ocurrido_real'. You can override
using the `.groups` argument.
`geom_smooth()` using formula = 'y ~ x'
`summarise()` has grouped output by 'menor_5', 'diarrea', 'anio_ocurrido_real',
'entidad_residencia', 'municipio_residencia', 'ENT_MUN_LLAVE'. You can override
using the `.groups` argument.
`summarise()` has grouped output by 'anio_ocurrido_real'. You can override
using the `.groups` argument.
`geom_smooth()` using formula = 'y ~ x'
Regression
`summarise()` has grouped output by 'ENT_RESID_LLAVE', 'MUN_RESID_LLAVE',
'anio_ocurrido_real', 'entidad_residencia'. You can override using the
`.groups` argument.
`summarise()` has grouped output by 'ent_mun'. You can override using the
`.groups` argument.
`summarise()` has grouped output by 'ENT_RESID_LLAVE', 'MUN_RESID_LLAVE',
'anio_ocurrido_real', 'entidad_residencia'. You can override using the
`.groups` argument.
`summarise()` has grouped output by 'ENT_RESID_LLAVE', 'MUN_RESID_LLAVE',
'anio_ocurrido_real', 'entidad_residencia'. You can override using the
`.groups` argument.
`summarise()` has grouped output by 'ENT_RESID_LLAVE', 'MUN_RESID_LLAVE',
'anio_ocurrido_real', 'entidad_residencia'. You can override using the
`.groups` argument.
`summarise()` has grouped output by 'ENT_RESID_LLAVE', 'MUN_RESID_LLAVE',
'anio_ocurrido_real', 'entidad_residencia'. You can override using the
`.groups` argument.| Lag4 | Lag3 | Lag2 | Lag1 | Lag0 | |
|---|---|---|---|---|---|
| prop_agua:prop_drenaje | -9.00 | 4.77 | 4.73 | -9.36 | -12.23 |
| (9.93) | (2.54) | (3.22) | (19.44) | (11.89) | |
| prop_drenaje | 1.80 | -2.78 | -2.64 | 15.41 | 5.59 |
| (5.90) | (1.79) | (2.27) | (17.91) | (7.08) | |
| prop_agua | 10.46 | -3.22 | -1.08 | -9.65 | 1.15 |
| (8.72) | (1.98) | (1.96) | (6.28) | (3.00) | |
| N | 4176 | 4607 | 4755 | 5171 | 3726 |
| R2 | 0.74 | 0.89 | 0.84 | 0.43 | 0.70 |
| Standard errors are heteroskedasticity robust. *** p < 0.001; ** p < 0.01; * p < 0.05. | |||||
| Lag4_rural | Lag3_rural | Lag2_rural | Lag1_rural | Lag0_rural | |
|---|---|---|---|---|---|
| prop_agua:prop_drenaje | -15.97 | 7.86 | 10.44 | -46.59 | -5.19 |
| (26.49) | (7.29) | (11.89) | (57.24) | (6.05) | |
| prop_drenaje | 1.15 | -2.59 | -4.98 | 47.38 | -1.94 |
| (20.59) | (5.87) | (9.39) | (45.97) | (3.91) | |
| prop_agua | 21.14 | -3.90 | 0.69 | -27.97 | 1.71 |
| (15.07) | (4.44) | (4.67) | (23.37) | (4.40) | |
| N | 1491 | 1707 | 1794 | 2065 | 1371 |
| R2 | 0.73 | 0.89 | 0.84 | 0.57 | 1.00 |
| Standard errors are heteroskedasticity robust. *** p < 0.001; ** p < 0.01; * p < 0.05. | |||||
| Lag4_no_rural | Lag3_no_rural | Lag2_no_rural | Lag1_no_rural | Lag0_no_rural | |
|---|---|---|---|---|---|
| prop_agua:prop_drenaje | 1.47 | 3.92 ** | 3.74 * | 10.88 *** | 0.61 |
| (1.36) | (1.32) | (1.75) | (2.54) | (1.69) | |
| prop_drenaje | -1.44 | -4.76 *** | -3.91 ** | -9.65 *** | -2.41 |
| (1.11) | (1.15) | (1.34) | (2.15) | (1.37) | |
| prop_agua | -1.89 * | -2.64 * | -2.95 * | -7.99 *** | -0.45 |
| (0.90) | (1.09) | (1.36) | (1.76) | (1.40) | |
| N | 2685 | 2900 | 2961 | 3106 | 2355 |
| R2 | 0.65 | 0.64 | 0.61 | 0.63 | 0.67 |
| Standard errors are heteroskedasticity robust. *** p < 0.001; ** p < 0.01; * p < 0.05. | |||||
Anexos
Esto se irá a anexos solo para recordar que también así se puede graficar
Por estados miremos la composición del estado en terminos del numero de municipios perteneciente a la agrupación de “municipios muy carentes”, “municipios carentes” y “municipios con servicios”
`summarise()` has grouped output by 'anio', 'entidad_modif', 'NOM_MUN'. You can
override using the `.groups` argument.
`summarise()` has grouped output by 'anio', 'color_grafica'. You can override
using the `.groups` argument.
Al analizar estado por estado, se generaron 3 grupos de estados mutuamente excluyentes que tienen la misma inspiración decidida para los grupos de municipios antes mencionados, “estados con servicios”, “estados carentes” y “estados muy carentes” y al notar que para varios de los estados se nota una mejoría muy marcada entre 2000 y 2005 se crearon otros dos grupos de estados llamados “estados_muy_carentes_crecim_2000_2005” y “estados_carentes_crecim_2000_2005” Quedando de la siguiente manera:
12 estados pertenecientes al conjunto “estados con servicios” estados_con_servicios = c(“Aguascalientes”, “Baja California Sur”, “Baja California”, “Ciudad de Mexico”, “Colima”, “Jalisco”, “Morelos”, “Nayarit”, “Nuevo Leon”, “Quintana Roo”, “Sonora”, “Tlaxcala”)
9 estados pertenecientes al conjunto “estados carentes” estados_carentes = c(“Chihuahua”, “Coahuila”, “Durango”, “Estado de Mexico”, “Guanajuato”, “Michoacan”, “Sinaloa”, “Tabasco”, “Zacatecas”)
11 estados pertenecientes al conjunto “estados muy carentes” estados_muy_carentes = c(“Campeche”, “Chiapas”, “Guerrero”, “Hidalgo”, “Oaxaca”, “Puebla”, “Queretaro”, “Tamaulipas”, “San Luis Potosi”, “Veracruz”, “Yucatan”)
10 estados pertenecientes al conjunto “estados muy carentes y con crecimiento” estados_muy_carentes_crecim_2000_2005 = c(“Campeche”, “Chiapas”, “Guerrero”, “Hidalgo”, “Oaxaca”, “Puebla”, “Queretaro”, “San Luis Potosi”, “Veracruz”, “Yucatan”)
8 estados pertenecientes al conjunto “estados carentes y con crecimiento” estados_carentes_crecim_2000_2005 = c(“Chihuahua”, “Coahuila”, “Durango”, “Estado de Mexico”, “Guanajuato”, “Michoacan”, “Sinaloa”, “Zacatecas”)
Vease en las siguientes 3 graficas la composición de un estado por el tipo de municipios para cada uno de los grupos de estados mutuamente excluyentes
Ciudad de Mexico, Estado de Mexico, Chiapas
`summarise()` has grouped output by 'anio', 'entidad_modif', 'NOM_MUN'. You can
override using the `.groups` argument.
`summarise()` has grouped output by 'anio'. You can override using the
`.groups` argument.
`summarise()` has grouped output by 'anio', 'entidad_modif', 'NOM_MUN'. You can
override using the `.groups` argument.
`summarise()` has grouped output by 'anio'. You can override using the
`.groups` argument.
`summarise()` has grouped output by 'anio', 'entidad_modif', 'NOM_MUN'. You can
override using the `.groups` argument.
`summarise()` has grouped output by 'anio'. You can override using the
`.groups` argument.
Estados muy carentes
`summarise()` has grouped output by 'anio'. You can override using the
`.groups` argument.
`summarise()` has grouped output by 'anio'. You can override using the
`.groups` argument.
El siguiente conjunto de gráficas sí es más relevante ya que analiza por grupos de estados la composición de municipios pertenecientes a carentes, muy carentes y con servicios
Estados con servicios, estados carentes, estados muy carentes, estados carentes con crecimiento entre 2000 y 2005 y estados muy carentes con crecimiento entre 2000 y 2005
`summarise()` has grouped output by 'anio', 'entidad_modif', 'NOM_MUN'. You can
override using the `.groups` argument.
`summarise()` has grouped output by 'anio'. You can override using the
`.groups` argument.
`summarise()` has grouped output by 'anio', 'entidad_modif', 'NOM_MUN'. You can
override using the `.groups` argument.
`summarise()` has grouped output by 'anio'. You can override using the
`.groups` argument.
`summarise()` has grouped output by 'anio', 'entidad_modif', 'NOM_MUN'. You can
override using the `.groups` argument.
`summarise()` has grouped output by 'anio'. You can override using the
`.groups` argument.
`summarise()` has grouped output by 'anio', 'entidad_modif', 'NOM_MUN'. You can
override using the `.groups` argument.
`summarise()` has grouped output by 'anio'. You can override using the
`.groups` argument.
`summarise()` has grouped output by 'anio', 'entidad_modif', 'NOM_MUN'. You can
override using the `.groups` argument.
`summarise()` has grouped output by 'anio'. You can override using the
`.groups` argument.
Un grafico todavía más revelador es que dividimos el estado entre municipios rurales y urbanos. Rurales son aquellos municipios con menos de 2,500 habitantes.
Así encontramos que de los estados seleccionados en muy carentes, al dividirlo en rural y urbano, se puede observar que en la zona rural, para el año 2000 en los estados muy carentes solo el 14% de sus municipios contaban con servicios arriba del 60% y del urbano solo el 22% de los municipios
Estaods con servicios, estados carentes, estados muy carentes, estados carentes con crecimiento 2000 y 2005 y estados muy carentes con crecimiento 2000 y 2005
`summarise()` has grouped output by 'anio', 'entidad_modif', 'NOM_MUN'. You can
override using the `.groups` argument.
`summarise()` has grouped output by 'anio', 'color_grafica'. You can override
using the `.groups` argument.
`summarise()` has grouped output by 'anio', 'entidad_modif', 'NOM_MUN'. You can
override using the `.groups` argument.
`summarise()` has grouped output by 'anio', 'color_grafica'. You can override
using the `.groups` argument.
`summarise()` has grouped output by 'anio', 'entidad_modif', 'NOM_MUN'. You can
override using the `.groups` argument.
`summarise()` has grouped output by 'anio', 'color_grafica'. You can override
using the `.groups` argument.
`summarise()` has grouped output by 'anio', 'entidad_modif', 'NOM_MUN'. You can
override using the `.groups` argument.
`summarise()` has grouped output by 'anio', 'color_grafica'. You can override
using the `.groups` argument.
`summarise()` has grouped output by 'anio', 'entidad_modif', 'NOM_MUN'. You can
override using the `.groups` argument.
`summarise()` has grouped output by 'anio', 'color_grafica'. You can override
using the `.groups` argument.
Solo agregando a las visualizaciones veamos el comportamiento primero a nivel estado pero despues lo veremos a nivel municipio
Estados muy carentes con crecimiento entre 2000 y 2005
`summarise()` has grouped output by 'anio', 'NUM_ENTIDAD', 'entidad_modif',
'NOM_MUN'. You can override using the `.groups` argument.
`summarise()` has grouped output by 'anio', 'Entidad', 'NUM_ENTIDAD',
'estados_de_interes'. You can override using the `.groups` argument.
`summarise()` has grouped output by 'anio', 'Entidad', 'NUM_ENTIDAD'. You can
override using the `.groups` argument.
Observando el siguiente gráfico, se puede observar que hay un crecimiento importante de las zonas verdes del mapa a nivel municipal entre 2000 y 2005
Estados muy carentes con crecimiento entre 2000 y 2005
`summarise()` has grouped output by 'anio', 'NUM_ENTIDAD', 'entidad_modif',
'NOM_MUN', 'estados_de_interes'. You can override using the `.groups` argument.
Estados muy carentes con crecimiento entre 2000 y 2005
`summarise()` has grouped output by 'menor_5', 'diarrea', 'anio_ocurrido_real',
'entidad_residencia', 'municipio_residencia', 'ENT_MUN_LLAVE'. You can override
using the `.groups` argument.
`summarise()` has grouped output by 'anio_ocurrido_real'. You can override
using the `.groups` argument.
`summarise()` has grouped output by 'menor_5', 'diarrea', 'anio_ocurrido_real',
'entidad_residencia', 'municipio_residencia', 'ENT_MUN_LLAVE'. You can override
using the `.groups` argument.
`summarise()` has grouped output by 'anio_ocurrido_real'. You can override
using the `.groups` argument.
`summarise()` has grouped output by 'menor_5', 'diarrea', 'anio_ocurrido_real',
'entidad_residencia', 'municipio_residencia', 'ENT_MUN_LLAVE'. You can override
using the `.groups` argument.
`summarise()` has grouped output by 'anio_ocurrido_real'. You can override
using the `.groups` argument.
`geom_smooth()` using formula = 'y ~ x'
`summarise()` has grouped output by 'menor_5', 'diarrea', 'anio_ocurrido_real',
'entidad_residencia', 'municipio_residencia', 'ENT_MUN_LLAVE'. You can override
using the `.groups` argument.
`summarise()` has grouped output by 'anio_ocurrido_real'. You can override
using the `.groups` argument.
`geom_smooth()` using formula = 'y ~ x'
`summarise()` has grouped output by 'menor_5', 'diarrea', 'anio_ocurrido_real',
'entidad_residencia', 'municipio_residencia', 'ENT_MUN_LLAVE'. You can override
using the `.groups` argument.
`summarise()` has grouped output by 'anio_ocurrido_real'. You can override
using the `.groups` argument.
`geom_smooth()` using formula = 'y ~ x'
`summarise()` has grouped output by 'menor_5', 'diarrea', 'anio_ocurrido_real',
'entidad_residencia', 'municipio_residencia', 'ENT_MUN_LLAVE'. You can override
using the `.groups` argument.
`summarise()` has grouped output by 'anio_ocurrido_real'. You can override
using the `.groups` argument.
`geom_smooth()` using formula = 'y ~ x'
`summarise()` has grouped output by 'menor_5', 'diarrea', 'anio_ocurrido_real',
'entidad_residencia', 'municipio_residencia', 'ENT_MUN_LLAVE'. You can override
using the `.groups` argument.
`summarise()` has grouped output by 'anio_ocurrido_real'. You can override
using the `.groups` argument.
`geom_smooth()` using formula = 'y ~ x'
`summarise()` has grouped output by 'menor_5', 'diarrea', 'anio_ocurrido_real',
'entidad_residencia', 'municipio_residencia', 'ENT_MUN_LLAVE'. You can override
using the `.groups` argument.
`summarise()` has grouped output by 'anio_ocurrido_real'. You can override
using the `.groups` argument.
`geom_smooth()` using formula = 'y ~ x'
`summarise()` has grouped output by 'menor_5', 'diarrea', 'anio_ocurrido_real',
'entidad_residencia', 'municipio_residencia', 'ENT_MUN_LLAVE'. You can override
using the `.groups` argument.
`summarise()` has grouped output by 'anio_ocurrido_real'. You can override
using the `.groups` argument.
`geom_smooth()` using formula = 'y ~ x'
`summarise()` has grouped output by 'menor_5', 'diarrea', 'anio_ocurrido_real',
'entidad_residencia', 'municipio_residencia', 'ENT_MUN_LLAVE'. You can override
using the `.groups` argument.
`summarise()` has grouped output by 'anio_ocurrido_real'. You can override
using the `.groups` argument.
`geom_smooth()` using formula = 'y ~ x'
`summarise()` has grouped output by 'menor_5', 'diarrea', 'anio_ocurrido_real',
'entidad_residencia', 'municipio_residencia', 'ENT_MUN_LLAVE'. You can override
using the `.groups` argument.
`summarise()` has grouped output by 'anio_ocurrido_real'. You can override
using the `.groups` argument.
`geom_smooth()` using formula = 'y ~ x'
`summarise()` has grouped output by 'menor_5', 'diarrea', 'anio_ocurrido_real',
'entidad_residencia', 'municipio_residencia', 'ENT_MUN_LLAVE'. You can override
using the `.groups` argument.
`summarise()` has grouped output by 'anio_ocurrido_real'. You can override
using the `.groups` argument.
`geom_smooth()` using formula = 'y ~ x'
`summarise()` has grouped output by 'menor_5', 'diarrea', 'anio_ocurrido_real',
'entidad_residencia', 'municipio_residencia', 'ENT_MUN_LLAVE'. You can override
using the `.groups` argument.
`summarise()` has grouped output by 'anio_ocurrido_real'. You can override
using the `.groups` argument.
`geom_smooth()` using formula = 'y ~ x'
`summarise()` has grouped output by 'menor_5', 'diarrea', 'anio_ocurrido_real',
'entidad_residencia', 'municipio_residencia', 'ENT_MUN_LLAVE'. You can override
using the `.groups` argument.
`summarise()` has grouped output by 'anio_ocurrido_real'. You can override
using the `.groups` argument.
`geom_smooth()` using formula = 'y ~ x'
`summarise()` has grouped output by 'menor_5', 'diarrea', 'anio_ocurrido_real',
'entidad_residencia', 'municipio_residencia', 'ENT_MUN_LLAVE'. You can override
using the `.groups` argument.
`summarise()` has grouped output by 'anio_ocurrido_real'. You can override
using the `.groups` argument.
`geom_smooth()` using formula = 'y ~ x'
`summarise()` has grouped output by 'menor_5', 'diarrea', 'anio_ocurrido_real',
'entidad_residencia', 'municipio_residencia', 'ENT_MUN_LLAVE'. You can override
using the `.groups` argument.
`summarise()` has grouped output by 'anio_ocurrido_real'. You can override
using the `.groups` argument.
`geom_smooth()` using formula = 'y ~ x'
`summarise()` has grouped output by 'menor_5', 'diarrea', 'anio_ocurrido_real',
'entidad_residencia', 'municipio_residencia', 'ENT_MUN_LLAVE'. You can override
using the `.groups` argument.
`summarise()` has grouped output by 'anio_ocurrido_real'. You can override
using the `.groups` argument.
`geom_smooth()` using formula = 'y ~ x'
Se irá a la ultima parte de anexos
Ahora, en los estados identificados como muy carentes y que muestran un crecimiento relevante del 2000 al 2005 analicemos los nacimientos, los fallecimientos de menores de 5 años e identificando las causas de fallecimiento para ver diarrea y no diarrea, obteniendo las tasas de mortalidad respecto al nacimiento y la proporción de fallecidos por diarrea respecto al total de fallecimientos
Estados muy carentes con crecimiento entre 2000 y 2005
`summarise()` has grouped output by 'menor_5', 'diarrea', 'anio_ocurrido_real',
'entidad_residencia', 'municipio_residencia', 'ENT_MUN_LLAVE'. You can override
using the `.groups` argument.
`summarise()` has grouped output by 'anio_ocurrido_real'. You can override
using the `.groups` argument.
`summarise()` has grouped output by 'menor_5', 'diarrea', 'anio_ocurrido_real',
'entidad_residencia', 'municipio_residencia', 'ENT_MUN_LLAVE'. You can override
using the `.groups` argument.
`summarise()` has grouped output by 'anio_ocurrido_real'. You can override
using the `.groups` argument.
`summarise()` has grouped output by 'menor_5', 'diarrea', 'anio_ocurrido_real',
'entidad_residencia', 'municipio_residencia', 'ENT_MUN_LLAVE'. You can override
using the `.groups` argument.
`summarise()` has grouped output by 'anio_ocurrido_real'. You can override
using the `.groups` argument.
`geom_smooth()` using formula = 'y ~ x'
`summarise()` has grouped output by 'menor_5', 'diarrea', 'anio_ocurrido_real',
'entidad_residencia', 'municipio_residencia', 'ENT_MUN_LLAVE'. You can override
using the `.groups` argument.
`summarise()` has grouped output by 'anio_ocurrido_real'. You can override
using the `.groups` argument.
`geom_smooth()` using formula = 'y ~ x'
`summarise()` has grouped output by 'menor_5', 'diarrea', 'anio_ocurrido_real',
'entidad_residencia', 'municipio_residencia', 'ENT_MUN_LLAVE'. You can override
using the `.groups` argument.
`summarise()` has grouped output by 'anio_ocurrido_real'. You can override
using the `.groups` argument.
`geom_smooth()` using formula = 'y ~ x'
`summarise()` has grouped output by 'menor_5', 'diarrea', 'anio_ocurrido_real',
'entidad_residencia', 'municipio_residencia', 'ENT_MUN_LLAVE'. You can override
using the `.groups` argument.
`summarise()` has grouped output by 'anio_ocurrido_real'. You can override
using the `.groups` argument.
`geom_smooth()` using formula = 'y ~ x'
`summarise()` has grouped output by 'menor_5', 'diarrea', 'anio_ocurrido_real',
'entidad_residencia', 'municipio_residencia', 'ENT_MUN_LLAVE'. You can override
using the `.groups` argument.
`summarise()` has grouped output by 'anio_ocurrido_real'. You can override
using the `.groups` argument.
`geom_smooth()` using formula = 'y ~ x'
`summarise()` has grouped output by 'menor_5', 'diarrea', 'anio_ocurrido_real',
'entidad_residencia', 'municipio_residencia', 'ENT_MUN_LLAVE'. You can override
using the `.groups` argument.
`summarise()` has grouped output by 'anio_ocurrido_real'. You can override
using the `.groups` argument.
`geom_smooth()` using formula = 'y ~ x'
`summarise()` has grouped output by 'menor_5', 'diarrea', 'anio_ocurrido_real',
'entidad_residencia', 'municipio_residencia', 'ENT_MUN_LLAVE'. You can override
using the `.groups` argument.
`summarise()` has grouped output by 'anio_ocurrido_real'. You can override
using the `.groups` argument.
`geom_smooth()` using formula = 'y ~ x'
`summarise()` has grouped output by 'menor_5', 'diarrea', 'anio_ocurrido_real',
'entidad_residencia', 'municipio_residencia', 'ENT_MUN_LLAVE'. You can override
using the `.groups` argument.
`summarise()` has grouped output by 'anio_ocurrido_real'. You can override
using the `.groups` argument.
`geom_smooth()` using formula = 'y ~ x'
`summarise()` has grouped output by 'menor_5', 'diarrea', 'anio_ocurrido_real',
'entidad_residencia', 'municipio_residencia', 'ENT_MUN_LLAVE'. You can override
using the `.groups` argument.
`summarise()` has grouped output by 'anio_ocurrido_real'. You can override
using the `.groups` argument.
`geom_smooth()` using formula = 'y ~ x'
`summarise()` has grouped output by 'menor_5', 'diarrea', 'anio_ocurrido_real',
'entidad_residencia', 'municipio_residencia', 'ENT_MUN_LLAVE'. You can override
using the `.groups` argument.
`summarise()` has grouped output by 'anio_ocurrido_real'. You can override
using the `.groups` argument.
`geom_smooth()` using formula = 'y ~ x'
`summarise()` has grouped output by 'menor_5', 'diarrea', 'anio_ocurrido_real',
'entidad_residencia', 'municipio_residencia', 'ENT_MUN_LLAVE'. You can override
using the `.groups` argument.
`summarise()` has grouped output by 'anio_ocurrido_real'. You can override
using the `.groups` argument.
`geom_smooth()` using formula = 'y ~ x'
`summarise()` has grouped output by 'menor_5', 'diarrea', 'anio_ocurrido_real',
'entidad_residencia', 'municipio_residencia', 'ENT_MUN_LLAVE'. You can override
using the `.groups` argument.
`summarise()` has grouped output by 'anio_ocurrido_real'. You can override
using the `.groups` argument.
`geom_smooth()` using formula = 'y ~ x'
`summarise()` has grouped output by 'menor_5', 'diarrea', 'anio_ocurrido_real',
'entidad_residencia', 'municipio_residencia', 'ENT_MUN_LLAVE'. You can override
using the `.groups` argument.
`summarise()` has grouped output by 'anio_ocurrido_real'. You can override
using the `.groups` argument.
`geom_smooth()` using formula = 'y ~ x'
`summarise()` has grouped output by 'menor_5', 'diarrea', 'anio_ocurrido_real',
'entidad_residencia', 'municipio_residencia', 'ENT_MUN_LLAVE'. You can override
using the `.groups` argument.
`summarise()` has grouped output by 'anio_ocurrido_real'. You can override
using the `.groups` argument.
`geom_smooth()` using formula = 'y ~ x'
`summarise()` has grouped output by 'menor_5', 'diarrea', 'anio_ocurrido_real',
'entidad_residencia', 'municipio_residencia', 'ENT_MUN_LLAVE'. You can override
using the `.groups` argument.
`summarise()` has grouped output by 'anio_ocurrido_real'. You can override
using the `.groups` argument.
`geom_smooth()` using formula = 'y ~ x'
Solo para continuar analizando veamos los datos pero ahora por estado perteneciente, lo importante es identificar por lo pronto visualmente un cambio en la tendencia entre antes del 2005 y despues del 2005 en los fallecimientos de diarrea
Nombre identificado en la gráfica
`summarise()` has grouped output by 'menor_5', 'diarrea', 'anio_ocurrido_real',
'entidad_residencia', 'municipio_residencia', 'ENT_MUN_LLAVE'. You can override
using the `.groups` argument.
`summarise()` has grouped output by 'anio_ocurrido_real'. You can override
using the `.groups` argument.
`geom_smooth()` using formula = 'y ~ x'
`summarise()` has grouped output by 'menor_5', 'diarrea', 'anio_ocurrido_real',
'entidad_residencia', 'municipio_residencia', 'ENT_MUN_LLAVE'. You can override
using the `.groups` argument.
`summarise()` has grouped output by 'anio_ocurrido_real'. You can override
using the `.groups` argument.
`geom_smooth()` using formula = 'y ~ x'
`summarise()` has grouped output by 'menor_5', 'diarrea', 'anio_ocurrido_real',
'entidad_residencia', 'municipio_residencia', 'ENT_MUN_LLAVE'. You can override
using the `.groups` argument.
`summarise()` has grouped output by 'anio_ocurrido_real'. You can override
using the `.groups` argument.
`geom_smooth()` using formula = 'y ~ x'
`summarise()` has grouped output by 'menor_5', 'diarrea', 'anio_ocurrido_real',
'entidad_residencia', 'municipio_residencia', 'ENT_MUN_LLAVE'. You can override
using the `.groups` argument.
`summarise()` has grouped output by 'anio_ocurrido_real'. You can override
using the `.groups` argument.
`geom_smooth()` using formula = 'y ~ x'
`summarise()` has grouped output by 'menor_5', 'diarrea', 'anio_ocurrido_real',
'entidad_residencia', 'municipio_residencia', 'ENT_MUN_LLAVE'. You can override
using the `.groups` argument.
`summarise()` has grouped output by 'anio_ocurrido_real'. You can override
using the `.groups` argument.
`geom_smooth()` using formula = 'y ~ x'
`summarise()` has grouped output by 'menor_5', 'diarrea', 'anio_ocurrido_real',
'entidad_residencia', 'municipio_residencia', 'ENT_MUN_LLAVE'. You can override
using the `.groups` argument.
`summarise()` has grouped output by 'anio_ocurrido_real'. You can override
using the `.groups` argument.
`geom_smooth()` using formula = 'y ~ x'
`summarise()` has grouped output by 'menor_5', 'diarrea', 'anio_ocurrido_real',
'entidad_residencia', 'municipio_residencia', 'ENT_MUN_LLAVE'. You can override
using the `.groups` argument.
`summarise()` has grouped output by 'anio_ocurrido_real'. You can override
using the `.groups` argument.
`geom_smooth()` using formula = 'y ~ x'
`summarise()` has grouped output by 'menor_5', 'diarrea', 'anio_ocurrido_real',
'entidad_residencia', 'municipio_residencia', 'ENT_MUN_LLAVE'. You can override
using the `.groups` argument.
`summarise()` has grouped output by 'anio_ocurrido_real'. You can override
using the `.groups` argument.
`geom_smooth()` using formula = 'y ~ x'
`summarise()` has grouped output by 'menor_5', 'diarrea', 'anio_ocurrido_real',
'entidad_residencia', 'municipio_residencia', 'ENT_MUN_LLAVE'. You can override
using the `.groups` argument.
`summarise()` has grouped output by 'anio_ocurrido_real'. You can override
using the `.groups` argument.
`geom_smooth()` using formula = 'y ~ x'
`summarise()` has grouped output by 'menor_5', 'diarrea', 'anio_ocurrido_real',
'entidad_residencia', 'municipio_residencia', 'ENT_MUN_LLAVE'. You can override
using the `.groups` argument.
`summarise()` has grouped output by 'anio_ocurrido_real'. You can override
using the `.groups` argument.
`geom_smooth()` using formula = 'y ~ x'
`summarise()` has grouped output by 'menor_5', 'diarrea', 'anio_ocurrido_real',
'entidad_residencia', 'municipio_residencia', 'ENT_MUN_LLAVE'. You can override
using the `.groups` argument.
`summarise()` has grouped output by 'anio_ocurrido_real'. You can override
using the `.groups` argument.
`geom_smooth()` using formula = 'y ~ x'
`summarise()` has grouped output by 'menor_5', 'diarrea', 'anio_ocurrido_real',
'entidad_residencia', 'municipio_residencia', 'ENT_MUN_LLAVE'. You can override
using the `.groups` argument.
`summarise()` has grouped output by 'anio_ocurrido_real'. You can override
using the `.groups` argument.
`geom_smooth()` using formula = 'y ~ x'
`summarise()` has grouped output by 'menor_5', 'diarrea', 'anio_ocurrido_real',
'entidad_residencia', 'municipio_residencia', 'ENT_MUN_LLAVE'. You can override
using the `.groups` argument.
`summarise()` has grouped output by 'anio_ocurrido_real'. You can override
using the `.groups` argument.
`geom_smooth()` using formula = 'y ~ x'
`summarise()` has grouped output by 'menor_5', 'diarrea', 'anio_ocurrido_real',
'entidad_residencia', 'municipio_residencia', 'ENT_MUN_LLAVE'. You can override
using the `.groups` argument.
`summarise()` has grouped output by 'anio_ocurrido_real'. You can override
using the `.groups` argument.
`geom_smooth()` using formula = 'y ~ x'
`summarise()` has grouped output by 'menor_5', 'diarrea', 'anio_ocurrido_real',
'entidad_residencia', 'municipio_residencia', 'ENT_MUN_LLAVE'. You can override
using the `.groups` argument.
`summarise()` has grouped output by 'anio_ocurrido_real'. You can override
using the `.groups` argument.
`geom_smooth()` using formula = 'y ~ x'
`summarise()` has grouped output by 'menor_5', 'diarrea', 'anio_ocurrido_real',
'entidad_residencia', 'municipio_residencia', 'ENT_MUN_LLAVE'. You can override
using the `.groups` argument.
`summarise()` has grouped output by 'anio_ocurrido_real'. You can override
using the `.groups` argument.
`geom_smooth()` using formula = 'y ~ x'
`summarise()` has grouped output by 'menor_5', 'diarrea', 'anio_ocurrido_real',
'entidad_residencia', 'municipio_residencia', 'ENT_MUN_LLAVE'. You can override
using the `.groups` argument.
`summarise()` has grouped output by 'anio_ocurrido_real'. You can override
using the `.groups` argument.
`geom_smooth()` using formula = 'y ~ x'
`summarise()` has grouped output by 'menor_5', 'diarrea', 'anio_ocurrido_real',
'entidad_residencia', 'municipio_residencia', 'ENT_MUN_LLAVE'. You can override
using the `.groups` argument.
`summarise()` has grouped output by 'anio_ocurrido_real'. You can override
using the `.groups` argument.
`geom_smooth()` using formula = 'y ~ x'
`summarise()` has grouped output by 'menor_5', 'diarrea', 'anio_ocurrido_real',
'entidad_residencia', 'municipio_residencia', 'ENT_MUN_LLAVE'. You can override
using the `.groups` argument.
`summarise()` has grouped output by 'anio_ocurrido_real'. You can override
using the `.groups` argument.
`geom_smooth()` using formula = 'y ~ x'
`summarise()` has grouped output by 'menor_5', 'diarrea', 'anio_ocurrido_real',
'entidad_residencia', 'municipio_residencia', 'ENT_MUN_LLAVE'. You can override
using the `.groups` argument.
`summarise()` has grouped output by 'anio_ocurrido_real'. You can override
using the `.groups` argument.
`geom_smooth()` using formula = 'y ~ x'
En el siguiente gráfico veamos la tendencia a total grupo “estados muy carentes”, no es del todo relevante por que se muestra el % de viviendas con accesos pero pasará lo mismo que cuando lo analizabamos a nivel estatal o pais en donde se esconden muchos problemas. Aunque al mismo tiempo sí se observan las carencias que despúes se volverán más dramáticas cuando desagreguemos un poco más
CONSIDERO QUE LAS SIGUIENTES GRAFICAS NO NOS SERVIRÁN MUCHO PQ ES INFORMACION REPETIDA
`summarise()` has grouped output by 'anio', 'entidad_modif'. You can override
using the `.groups` argument.
`summarise()` has grouped output by 'anio', 'Entidad'. You can override using
the `.groups` argument.
`summarise()` has grouped output by 'anio', 'entidad_modif'. You can override
using the `.groups` argument.
`summarise()` has grouped output by 'anio', 'Entidad'. You can override using
the `.groups` argument.
`summarise()` has grouped output by 'anio', 'entidad_modif'. You can override
using the `.groups` argument.
`summarise()` has grouped output by 'anio', 'Entidad'. You can override using
the `.groups` argument.
`summarise()` has grouped output by 'anio', 'entidad_modif'. You can override
using the `.groups` argument.
`summarise()` has grouped output by 'anio', 'Entidad'. You can override using
the `.groups` argument.
Lo que en proporciones significa
grafica_municipios_agua_drenaje_threshold_proporcion_fn(Entidad_seleccionada = estados_mexico,
Threshold = cutoff_1)`summarise()` has grouped output by 'anio', 'entidad_modif'. You can override
using the `.groups` argument.
`summarise()` has grouped output by 'anio', 'Entidad'. You can override using
the `.groups` argument.
grafica_municipios_agua_drenaje_threshold_proporcion_fn(Entidad_seleccionada = estados_con_servicios,
Threshold = cutoff_1)`summarise()` has grouped output by 'anio', 'entidad_modif'. You can override
using the `.groups` argument.
`summarise()` has grouped output by 'anio', 'Entidad'. You can override using
the `.groups` argument.
grafica_municipios_agua_drenaje_threshold_proporcion_fn(Entidad_seleccionada = estados_carentes,
Threshold = cutoff_1)`summarise()` has grouped output by 'anio', 'entidad_modif'. You can override
using the `.groups` argument.
`summarise()` has grouped output by 'anio', 'Entidad'. You can override using
the `.groups` argument.
grafica_municipios_agua_drenaje_threshold_proporcion_fn(Entidad_seleccionada = estados_muy_carentes,
Threshold = cutoff_1)`summarise()` has grouped output by 'anio', 'entidad_modif'. You can override
using the `.groups` argument.
`summarise()` has grouped output by 'anio', 'Entidad'. You can override using
the `.groups` argument.
Ahora dividamos el rural y no rural a total mexico y por los estados seleccionados, así nos podremos dar cuenta si existe alguna afectacion diferenciada por rural y no rural entre los estados seleccionados y total mexico
grafica_municipios_agua_drenaje_threshold_rural_fn(Entidad_seleccionada = estados_mexico,
Threshold = cutoff_1)`summarise()` has grouped output by 'anio', 'entidad_modif'. You can override
using the `.groups` argument.
`summarise()` has grouped output by 'anio', 'Entidad', 'municipio_rural'. You
can override using the `.groups` argument.
`summarise()` has grouped output by 'anio'. You can override using the
`.groups` argument.
grafica_municipios_agua_drenaje_threshold_rural_fn(Entidad_seleccionada = estados_con_servicios,
Threshold = cutoff_1)`summarise()` has grouped output by 'anio', 'entidad_modif'. You can override
using the `.groups` argument.
`summarise()` has grouped output by 'anio', 'Entidad', 'municipio_rural'. You
can override using the `.groups` argument.
`summarise()` has grouped output by 'anio'. You can override using the
`.groups` argument.
grafica_municipios_agua_drenaje_threshold_rural_fn(Entidad_seleccionada = estados_carentes,
Threshold = cutoff_1)`summarise()` has grouped output by 'anio', 'entidad_modif'. You can override
using the `.groups` argument.
`summarise()` has grouped output by 'anio', 'Entidad', 'municipio_rural'. You
can override using the `.groups` argument.
`summarise()` has grouped output by 'anio'. You can override using the
`.groups` argument.
grafica_municipios_agua_drenaje_threshold_rural_fn(Entidad_seleccionada = estados_muy_carentes,
Threshold = cutoff_1)`summarise()` has grouped output by 'anio', 'entidad_modif'. You can override
using the `.groups` argument.
`summarise()` has grouped output by 'anio', 'Entidad', 'municipio_rural'. You
can override using the `.groups` argument.
`summarise()` has grouped output by 'anio'. You can override using the
`.groups` argument.
Veamos lo anterior pero en proporciones
grafica_municipios_agua_drenaje_threshold_rural_proporcion_fn(Entidad_seleccionada = estados_mexico,
Threshold = cutoff_1)`summarise()` has grouped output by 'anio', 'entidad_modif'. You can override
using the `.groups` argument.
`summarise()` has grouped output by 'anio', 'Entidad', 'municipio_rural'. You
can override using the `.groups` argument.
`summarise()` has grouped output by 'anio'. You can override using the
`.groups` argument.
grafica_municipios_agua_drenaje_threshold_rural_proporcion_fn(Entidad_seleccionada = estados_con_servicios,
Threshold = cutoff_1)`summarise()` has grouped output by 'anio', 'entidad_modif'. You can override
using the `.groups` argument.
`summarise()` has grouped output by 'anio', 'Entidad', 'municipio_rural'. You
can override using the `.groups` argument.
`summarise()` has grouped output by 'anio'. You can override using the
`.groups` argument.
grafica_municipios_agua_drenaje_threshold_rural_proporcion_fn(Entidad_seleccionada = estados_carentes,
Threshold = cutoff_1)`summarise()` has grouped output by 'anio', 'entidad_modif'. You can override
using the `.groups` argument.
`summarise()` has grouped output by 'anio', 'Entidad', 'municipio_rural'. You
can override using the `.groups` argument.
`summarise()` has grouped output by 'anio'. You can override using the
`.groups` argument.
grafica_municipios_agua_drenaje_threshold_rural_proporcion_fn(Entidad_seleccionada = estados_muy_carentes,
Threshold = cutoff_1)`summarise()` has grouped output by 'anio', 'entidad_modif'. You can override
using the `.groups` argument.
`summarise()` has grouped output by 'anio', 'Entidad', 'municipio_rural'. You
can override using the `.groups` argument.
`summarise()` has grouped output by 'anio'. You can override using the
`.groups` argument.
En el sigfuiente comparativo la idea es ver si hay un comportamiento diferenciado entre los estados que elegimos y los otros estados de mexico. Veamos las diferencias a numeros absolutos y despues en proporciones
grafica_municipios_agua_drenaje_threshold_edos_resto_fn(Entidad_seleccionada = Entidad_seleccionada_1,
Threshold = cutoff_1)`summarise()` has grouped output by 'anio', 'entidad_modif', 'NOM_MUN'. You can
override using the `.groups` argument.
`summarise()` has grouped output by 'anio', 'Entidad', 'estados_de_interes'.
You can override using the `.groups` argument.
`summarise()` has grouped output by 'anio'. You can override using the
`.groups` argument.
Ahora en proporciones
grafica_municipios_agua_drenaje_threshold_rural_proporcion_edos_resto_fn(Entidad_seleccionada = Entidad_seleccionada_1,
Threshold = cutoff_1)`summarise()` has grouped output by 'anio', 'entidad_modif', 'NOM_MUN'. You can
override using the `.groups` argument.
`summarise()` has grouped output by 'anio', 'Entidad', 'estados_de_interes'.
You can override using the `.groups` argument.
`summarise()` has grouped output by 'anio'. You can override using the
`.groups` argument.
Ahora llevemos más allá el analisis revisando los mismo que en el anterior pero ahora dividiendo la información por rural y no rural, primero en absolutos y luego en proporciones
grafica_municipios_agua_drenaje_threshold_edos_resto_rural_fn(Entidad_seleccionada = Entidad_seleccionada_1,
Threshold = cutoff_1)`summarise()` has grouped output by 'anio', 'entidad_modif', 'NOM_MUN'. You can
override using the `.groups` argument.
`summarise()` has grouped output by 'anio', 'Entidad', 'estados_de_interes',
'color_grafica'. You can override using the `.groups` argument.
`summarise()` has grouped output by 'anio', 'estados_de_interes'. You can
override using the `.groups` argument.
Ahora en proporciones
grafica_municipios_agua_drenaje_threshold_edos_resto_rural_proportion_fn(Entidad_seleccionada = Entidad_seleccionada_1,
Threshold = cutoff_1)`summarise()` has grouped output by 'anio', 'entidad_modif', 'NOM_MUN'. You can
override using the `.groups` argument.
`summarise()` has grouped output by 'anio', 'Entidad', 'estados_de_interes',
'color_grafica'. You can override using the `.groups` argument.
`summarise()` has grouped output by 'anio', 'estados_de_interes'. You can
override using the `.groups` argument.
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