A sample of the ICEWS event data consisting of the 4,993 events between 1 and 3 June 2018.
icews_sampleAn object of class tbl_df (inherits from tbl, data.frame) with 4993 rows and 22 columns.
data("icews_sample")
str(icews_sample)
#> tibble [4,993 × 22] (S3: tbl_df/tbl/data.frame)
#> $ event_id : int [1:4993] 32889836 32889837 32891290 32891065 32891064 32889838 32891059 32891060 32891062 32891061 ...
#> $ event_date : Date[1:4993], format: "2018-06-01" "2018-06-01" ...
#> $ source_name : chr [1:4993] "Foreign Affairs (Bangladesh)" "High Ranking Military Personnel (Vietnam)" "Ministry (Japan)" "Japan" ...
#> $ source_sectors : chr [1:4993] "Executive,Foreign Ministry,Government" "Military,Government" "Government" NA ...
#> $ source_country : chr [1:4993] "Bangladesh" "Vietnam" "Japan" "Japan" ...
#> $ event_text : chr [1:4993] "Consult" "Consult" "Consider policy option" "Express intent to engage in diplomatic cooperation (such as policy support)" ...
#> $ cameo_code : chr [1:4993] "040" "040" "014" "032" ...
#> $ intensity : num [1:4993] 1 1 0 4.5 4.5 0 3 4 2.5 4 ...
#> $ target_name : chr [1:4993] "High Ranking Military Personnel (Vietnam)" "Foreign Affairs (Bangladesh)" "Citizen (Japan)" "Vietnam" ...
#> $ target_sectors : chr [1:4993] "Military,Government" "Executive,Foreign Ministry,Government" "General Population / Civilian / Social,Social" NA ...
#> $ target_country : chr [1:4993] "Vietnam" "Bangladesh" "Japan" "Vietnam" ...
#> $ story_id : int [1:4993] 47400351 47400351 47400357 47400359 47400359 47400360 47400361 47400361 47400361 47400361 ...
#> $ sentence_number: int [1:4993] 2 2 5 2 2 3 2 3 3 3 ...
#> $ publisher : chr [1:4993] "Vietnam News Agency Bulletin" "Vietnam News Agency Bulletin" "Mainichi Daily News" "Vietnam News Agency Bulletin" ...
#> $ city : chr [1:4993] "Hanoi" "Hanoi" "Osaka" NA ...
#> $ district : chr [1:4993] NA NA "Osaka-shi" NA ...
#> $ province : chr [1:4993] "Thanh Pho Ha Noi" "Thanh Pho Ha Noi" "Osaka-fu" NA ...
#> $ country : chr [1:4993] "Vietnam" "Vietnam" "Japan" "Japan" ...
#> $ latitude : num [1:4993] 21 21 34.7 35.6 21 ...
#> $ longitude : num [1:4993] 106 106 136 140 106 ...
#> $ year : int [1:4993] 2018 2018 2018 2018 2018 2018 2018 2018 2018 2018 ...
#> $ yearmonth : int [1:4993] 201806 201806 201806 201806 201806 201806 201806 201806 201806 201806 ...