ufo_sightings <- readr::read_csv("https://raw.githubusercontent.com/rfordatascience/tidytuesday/master/data/2019/2019-06-25/ufo_sightings.csv")
library(tidyverse)
library(gganimate)
library(ggthemes)
library(lubridate)
library(ggforce)
library(ggthemr)USA and Canada has lot of sightings and most of them in mid year. More sightings happen after 6 pm but only until 1 am, which is considered as an overall and for countries USA and Canada as well. #TidyTuesday GitHub code: https://t.co/J4F2wMNQ4B pic.twitter.com/WI4bxBLMVk
— Amalan Mahendran (@Amalan_Con_Stat) June 25, 2019
Timely changes for country and shape
Yearly count changes
ufo_sightings$date_time <- mdy_hm(ufo_sightings$date_time)
ufo_sightings %>%
mutate(year=year(date_time)) %>%
count(year) %>%
ggplot(.,aes(x=as.factor(year),y=n))+geom_col(fill=blues9[4])+
theme_minimal()+
theme(axis.text.x = element_text(angle = 90))+
geom_text(aes(label=n),hjust=-0.1,angle=90,color=blues9[9])+
xlab("Years")+ylab("Frequency")+
ggtitle("Yearly count changes")
Monthly count changes
ufo_sightings %>%
mutate(month=month(date_time)) %>%
count(month) %>%
ggplot(.,aes(x=as.factor(month),y=n))+geom_col(fill=blues9[4])+
theme_minimal()+
geom_text(aes(label=n),vjust=-0.1,color=blues9[9])+
xlab("Months")+ylab("Frequency")+
ggtitle("Monthly count changes")
Hourly count changes
ufo_sightings %>%
mutate(hour=hour(date_time)) %>%
count(hour) %>%
ggplot(.,aes(x=as.factor(hour),y=n))+geom_col(fill=blues9[4])+
theme_minimal()+
geom_text(aes(label=n),vjust=-0.1,color=blues9[9])+
xlab("Hours")+ylab("Frequency")+
ggtitle("Hourly count changes")
Yearly Count changes for Countries
ufo_sightings %>%
mutate(year=year(date_time)) %>%
mutate(country=recode_factor(country,
"au"="Australia",
"ca"="Canada",
"gb"="Great Britain",
"us"="USA")) %>%
group_by(year,country) %>%
remove_missing() %>%
count(country) %>%
ggplot(.,aes(x=as.factor(year),y=n))+geom_col(fill=blues9[8])+
theme_minimal()+
facet_wrap(~country,scales = "free_y",ncol = 1)+
theme(axis.text.x = element_text(angle = 90))+
xlab("Year")+ylab("Frequency")+
ggtitle("Yearly count changes for Nations")
Monthly Count changes for Countries
ufo_sightings %>%
mutate(month=month(date_time)) %>%
mutate(country=recode_factor(country,
"au"="Australia",
"ca"="Canada",
"gb"="Great Britain",
"us"="USA")) %>%
group_by(month,country) %>%
remove_missing() %>%
count(country) %>%
ggplot(.,aes(x=as.factor(month),y=n))+geom_col(fill=blues9[8])+
theme_minimal()+
facet_wrap(~country,scales = "free_y",ncol = 1)+
geom_text(aes(label=n),vjust=0.95,color="white")+
xlab("Months")+ylab("Frequency")+
ggtitle("Monthly count changes for Nations")
Hourly Count changes for Countries
ufo_sightings %>%
mutate(hour=hour(date_time)) %>%
mutate(country=recode_factor(country,
"au"="Australia",
"ca"="Canada",
"gb"="Great Britain",
"us"="USA")) %>%
group_by(hour,country) %>%
remove_missing() %>%
count(country) %>%
ggplot(.,aes(x=as.factor(hour),y=n))+geom_col(fill=blues9[8])+
theme_minimal()+
facet_wrap(~country,scales = "free_y",ncol = 1)+
geom_text(aes(label=n),vjust=0.95,color="white")+
xlab("Hours")+ylab("Frequency")+
ggtitle("Hours count changes for Nations")
Decade wise UFO shape changes
ufo_sightings_new<-ufo_sightings
ufo_sightings_new$year<-year(ufo_sightings_new$date_time)
ufo_sightings_new$year<-cut(ufo_sightings_new$year,
breaks=c(1910,1919,1929,1939,
1949,1959,1969,1979,
1989,1999,2009,2015),
labels=c("1910s","1920s","1930s","1940s",
"1950s","1960s","1970s","1980s",
"1990s","2000s","2010s"))
ufo_sightings_new %>%
group_by(year,ufo_shape) %>%
count(ufo_shape) %>%
remove_missing() %>%
ggplot(.,aes(x=str_wrap(ufo_shape,10),y=n))+geom_col(fill=blues9[8])+
theme_minimal()+
theme(axis.text.x = element_text(angle = 90))+
geom_text(aes(label=n),hjust=-0.1,angle=90)+
scale_y_continuous(expand = c(0,1000))+
transition_states(year)+ease_aes("linear")+
xlab("Shape")+ylab("Frequency")+
ggtitle("UFO shapes over the Years",
subtitle = "Year:{closest_state}")
Documented Year and Origin Year
ufo_sightings %>%
mutate(o_year=year(date_time)) %>%
mutate(d_year=year(mdy(date_documented))) %>%
ggplot(.,aes(x=factor(o_year),y=factor(d_year)))+geom_jitter()+
coord_flip()+theme_minimal()+
ylab("Documented Year")+xlab("Origin Year")+
ggtitle("Documented Year vs Origin Year")
Year vs Encounter Length
ggthemr("flat")
ufo_sightings %>%
mutate(year=year(date_time)) %>%
remove_missing() %>%
ggplot(.,aes(x=year,y=encounter_length,color=country))+geom_point()+
facet_zoom(y=encounter_length <1000000)+
xlab("Year")+ylab("Encounter Length")+
ggtitle("Encounter Length over the Years",
subtitle = "Zoomed In for Encounter Length <1,000,000")
ufo_sightings %>%
subset(encounter_length <1000000) %>%
mutate(year=year(date_time)) %>%
remove_missing() %>%
ggplot(.,aes(x=year,y=encounter_length,color=country))+geom_point()+
facet_zoom(y=encounter_length <100000)+
xlab("Year")+ylab("Encounter Length")+
ggtitle("Encounter Length < 1,000,000 over the Years",
subtitle = "Zoomed In for Encounter Length <1,00,000")
ufo_sightings %>%
subset(encounter_length <100000) %>%
mutate(year=year(date_time)) %>%
remove_missing() %>%
ggplot(.,aes(x=year,y=encounter_length,color=country))+geom_point()+
facet_zoom(y=encounter_length <10000)+
xlab("Year")+ylab("Encounter Length")+
ggtitle("Encounter Length < 100,000 over the Years",
subtitle = "Zoomed In for Encounter Length <10,000")
Hour vs Encounter Length
ufo_sightings %>%
mutate(hour=hour(date_time)) %>%
remove_missing() %>%
ggplot(.,aes(x=hour,y=encounter_length,color=country))+geom_jitter()+
facet_zoom(y=encounter_length <1000, x=hour >=20)+
xlab("Hour")+ylab("Encounter Length")+
ggtitle("Encounter Length over the Years",
subtitle = "Zoomed In for Encounter Length <1,000")
THANK YOU