Yaakov Miller 7/20/17
Use the devtools package:
library(devtools)
install_github("ykv001/ykvdpcap")
library(ykvdpcap)
This package includes the following functions
library(ggplot2)
library(leaflet)
library(lubridate)
library(dplyr)
library(readr)
library(stringr)
library(ykvdpcap)
data<-system.file('extdata','data.gz', package = 'ykvdpcap')
eq_data <- eq_data_read(data)
head(eq_data[,1:7])
## # A tibble: 6 x 7
## I_D FLAG_TSUNAMI YEAR MONTH DAY HOUR MINUTE
## <int> <chr> <int> <int> <int> <int> <int>
## 1 1 <NA> -2150 NA NA NA NA
## 2 3 <NA> -2000 NA NA NA NA
## 3 2 Tsu -2000 NA NA NA NA
## 4 5877 Tsu -1610 NA NA NA NA
## 5 8 <NA> -1566 NA NA NA NA
## 6 11 <NA> -1450 NA NA NA NA
eq_clean <- eq_data %>% eq_clean_data()
head(eq_clean[,1:7])
## # A tibble: 6 x 7
## I_D FLAG_TSUNAMI DATE HOUR MINUTE SECOND FOCAL_DEPTH
## <int> <chr> <date> <int> <int> <chr> <int>
## 1 38 <NA> 0010-01-01 NA NA 18
## 2 39 <NA> 0011-01-01 NA NA NA
## 3 40 <NA> 0017-01-01 NA NA <NA> NA
## 4 41 <NA> 0023-01-01 NA NA NA
## 5 42 <NA> 0025-01-01 NA NA NA
## 6 43 <NA> 0027-01-01 NA NA NA
eq_clean %>%
dplyr::filter(COUNTRY == "USA" & lubridate::year(DATE) >= 2000) %>%
eq_time(size="EQ_PRIMARY",color="DEATHS")
eq_clean %>%
dplyr::filter(COUNTRY == "USA" & lubridate::year(DATE) >= 2000) %>%
eq_time(size="EQ_PRIMARY",color="DEATHS",alpha=0.5,timeline_label=TRUE)
eq_clean %>%
dplyr::filter((COUNTRY=="USA" | COUNTRY=="MEXICO") & lubridate::year(DATE) >= 2000) %>%
eq_time(y="COUNTRY",color="DEATHS",alpha=0.5)
eq_clean %>%
dplyr::filter((COUNTRY=="USA" | COUNTRY=="CHILE") & lubridate::year(DATE) >= 2000) %>%
eq_time(y="COUNTRY",color="DEATHS",alpha=0.5,timeline_label=TRUE)
eq_clean %>%
dplyr::filter(COUNTRY == "PERU" & lubridate::year(DATE) >= 2000) %>%
eq_map(annot_col = "DATE")
eq_clean %>%
dplyr::filter(COUNTRY == "ITALY" & lubridate::year(DATE) >= 2000) %>%
dplyr::mutate(popup_text = eq_create_label(.)) %>%
eq_map(annot_col = "popup_text")
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.