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Analyses+Graphs.R
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Analyses+Graphs.R
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library(foreign)
library(ggplot2)
library(tidyverse)
library(ggthemes)
library(scales)
Japan_Steel <- read_csv("Data/JapanSteelProduction(1950-1960).csv",
col_names = c("Year", "Steel_Production"),
skip = 1)
glimpse(Japan_Steel)
Japan_Steel %>%
ggplot(aes(x = Year, y = Steel_Production)) +
geom_line(size = 2.5, color = "#474747") +
scale_x_continuous(breaks = pretty_breaks(n = 10)) +
scale_y_continuous(breaks = pretty_breaks(n = 10), label = comma) +
theme_economist_white() +
theme(axis.text = element_text(size = 10, color = "#474747"),
axis.title = element_text(size = 15, color = "#474747"),
plot.title = element_text(hjust = 0.5, color = "#474747")) +
labs(x = "Year", y = "Steel Production (Units)",
title = "Japan Steel Production\n(1950-1960)")
library(gganimate)
steel_animate <- steelprod %>%
ggplot(aes(x = Year, y = Steel.production, frame = Year, cumulative = TRUE)) +
geom_line(size = 2.5) +
theme_economist_white() +
theme(axis.text = element_text(size = 10), axis.title = element_text(size = 15),
plot.title = element_text(hjust = 0.5)) +
scale_x_continuous(breaks = pretty_breaks(n = 10)) +
scale_y_continuous(breaks = pretty_breaks(n = 10), label = comma) +
labs(x = "Year", y = "Steel Production (Units)",
title = "Japan Steel Production\n(1950-1960)")
gganimate(steel_animate)
?scales::trans_new
# Camera
library(tidyverse)
library(gganimate)
library(tweenr)
JapanCamera <- read.csv("Data/JapanCamera&USAImportCamera(1945-1960).csv")
Japan_Camera <- read_csv("Data/JapanCamera&USAImportCamera(1945-1960).csv",
col_names = c("Year", "Camera_Production", "USA_Imports"),
skip = 1)
Cam_Ani <- Japan_Camera %>%
split(.$Year) %>%
tween_states(tweenlength = 3, statelength = 2, ease = 'linear', nframes = 200) %>%
ggplot(aes(x = Year, y = Camera_Production, frame = .frame)) +
geom_path(aes(y = Camera_Production,
color = "Camera Production", frame = .frame), size = 1.5) +
geom_path(aes(y = USA_Imports,
color = "USA Imports", frame = .frame), size = 1.5) +
scale_x_continuous(breaks = pretty_breaks(n = 20)) +
scale_y_continuous(labels = c("0", "500,000", "1 Million", "1.5 Million", "2 Million")) +
scale_color_manual(values = c("Camera Production" = "#474747",
"USA Imports" = "black")) +
geom_vline(xintercept = 1950) +
geom_vline(xintercept = 1953) +
annotate(geom = "text",
label = "Korean\nWar", size = 5, color = "#474747",
x = 1951.5, y = 1000000) +
theme_bw() +
theme(axis.title = element_text(size = 10),
axis.text = element_text(size = 8),
title = element_text(size = 9.5),
plot.title = element_text(hjust = 0.5),
legend.position = c(0.15, 0.9),
legend.title = element_blank(),
panel.grid.minor.y = element_blank()) +
labs(x = "Year", y = "Japanese Cameras (Units)",
title = "Japanese Camera Production and USA Imports of Japanese Cameras\n (1945-1960)",
caption = "Source: Nelson, P.A. (1998). Rivalry and cooperation: \nHow the Japanese photography industry went global, pp. 14, 74.")
animation::ani.options(interval = 0.05)
gganimate(Cam_Ani)
glimpse(Japan_Camera)
glimpse(JapanCamera)
Japan_Camera %>%
ggplot(aes(x = Year, y = Camera_Production)) +
geom_line()
JapanCamera %>% ggplot(aes(x = Year, y = Japanese.Camera.Production)) +
geom_line(size = 2) +
geom_point(aes(y = Japanese.Camera.Production), color = "red") +
geom_line(aes(y = USA.Import.of.Japanese.Cameras), color = "red", size = 2) +
geom_point(aes(y = USA.Import.of.Japanese.Cameras)) +
scale_x_continuous(breaks = pretty_breaks(n = 20)) +
scale_y_continuous(breaks = pretty_breaks(n = 6), labels = comma) +
theme_wsj() +
theme(axis.title = element_text(size = 10),
axis.text = element_text(size = 7),
title = element_text(size = 7.5),
plot.title = element_text(hjust = 0.5)) +
labs(x = "Year", y = "Camera Production (Units)",
title = "Japan Camera Production and USA Imports of Japan Cameras\n (1945-1960)")
# animate:
camera_animate <- Japan_Camera %>%
ggplot(aes(x = Year, y = Camera_Production, frame = Year, cumulative = TRUE)) +
geom_path(aes(y = Camera_Production), color = "#474747", size = 1.5) +
geom_path(aes(y = USA_Imports), color = "black", size = 1.5) +
scale_x_continuous(breaks = pretty_breaks(n = 20)) +
scale_y_continuous(labels = c("0", "500,000", "1 Million", "1.5 Million", "2 Million")) +
theme_bw() +
theme(axis.title = element_text(size = 10),
axis.text = element_text(size = 8),
title = element_text(size = 9.5),
plot.title = element_text(hjust = 0.5)) +
labs(x = "Year", y = "Japanese Cameras (Units)",
title = "Japanese Camera Production and USA Imports of Japanese Cameras\n (1945-1960)")
gganimate(camera_animate)
#
JapanCotton <- read.csv("Data/JapanCottonTextileExports(1946-1960).csv")
JapanCotton
JapanCotton %>%
ggplot(aes(Year, y = Japan.Cotton.Textile.Exports.to.USA..million.square.yards.), color = I("blue")) +
geom_line(size = 2) +
geom_line(aes(y = Cotton.Textile.Exports.to.USA..million.square.yards.), size = 2)
JapanCotton %>%
rename(Cotton.From.Japan.Exports = Japan.Cotton.Textile.Exports.to.USA..million.square.yards.,
All.USA.Exports = Cotton.Textile.Exports.to.USA..million.square.yards.) %>%
ggplot(aes(Year, y = Cotton.From.Japan.Exports)) +
geom_line(size = 1.5) +
geom_line(aes(y = All.USA.Exports)) +
scale_x_continuous(breaks = pretty_breaks(n = 20)) +
scale_y_continuous(breaks = pretty_breaks(n = 6), labels = comma) +
theme_wsj() +
theme(axis.title = element_text(size = 10),
axis.text = element_text(size = 7),
title = element_text(size = 7.5),
plot.title = element_text(hjust = 0.5)) +
labs(x = "Year", y = "Cotton Production (Million Yards)",
title = "USA Total Cotton Exports and Cotton Exports from Japan \n (1945-1960)")
JapanCotton %>%
rename(Cotton.From.Japan.Exports = Japan.Cotton.Textile.Exports.to.USA..million.square.yards.,
All.USA.Exports = Cotton.Textile.Exports.to.USA..million.square.yards.) %>%
ggplot(aes(Year, y = All.USA.Exports)) +
geom_line(size = 1.5) +
geom_point(color = I("red"), size = 3) +
scale_x_continuous(breaks = pretty_breaks(n = 20)) +
scale_y_continuous(breaks = pretty_breaks(n = 6), labels = comma) +
theme_wsj() +
theme(axis.title = element_text(size = 10),
axis.text = element_text(size = 7),
title = element_text(size = 7.5),
plot.title = element_text(hjust = 0.5)) +
labs(x = "Year", y = "Cotton Production (Million Yards)",
title = "USA Total Cotton Imports \n (1945-1960)")
# tweenR ------------------------------------------------------------------
library(dplyr) # pipes
library(readr) # reading in .csv files
library(ggplot2) # plotting
library(ggthemes) # ggplot2 themes
library(scales)
Japan_Camera <- read_csv("Data/JapanCamera&USAImportCamera(1945-1960).csv",
col_names = c("Year", "Camera_Production", "USA_Imports"),
skip = 1)
library(tweenr)
glimpse(Japan_Camera)
Japan_Camera_tween <- Japan_Camera %>%
rename(y = Camera_Production, time = Year) %>%
mutate(id = time,
x = time,
ease = "linear") %>%
select(x, y, time, id, ease)
glimpse(Japan_Camera_tween)
Japan_Camera_tween <- Japan_Camera_tween %>%
mutate(id = as.factor(id))
Japan_cam_tween <- tween_elements(Japan_Camera_tween, "time", "id", "ease", nframes = 1000)
glimpse(Japan_cam_tween)
camera_animate <- Japan_Camera %>%
ggplot(aes(x = Year, y = Camera_Production, frame = Year, cumulative = TRUE)) +
geom_path(aes(y = Camera_Production), color = "#474747", size = 1.5) +
geom_path(aes(y = USA_Imports), color = "black", size = 1.5) +
scale_x_continuous(breaks = pretty_breaks(n = 20)) +
scale_y_continuous(labels = c("0", "500,000", "1 Million", "1.5 Million", "2 Million")) +
theme_bw() +
theme(axis.title = element_text(size = 10),
axis.text = element_text(size = 8),
title = element_text(size = 9.5),
plot.title = element_text(hjust = 0.5)) +
labs(x = "Year", y = "Japanese Cameras (Units)",
title = "Japanese Camera Production and USA Imports of Japanese Cameras\n (1945-1960)")
gganimate(camera_animate)
# plotly ------------------------------------------------------------------
library(plotly)
glimpse(Japan_Camera)
J_Cam <- Japan_Camera %>%
ggplot(aes(x = Year)) +
geom_line(aes(y = Camera_Production, color = "Camera Production", frame = Year), size = 1.5) +
geom_line(aes(y = USA_Imports, color = "USA Imports", frame = Year), size = 1.5) +
scale_x_continuous(breaks = pretty_breaks(n = 20)) +
scale_y_continuous(labels = c("0", "500,000", "1 Million", "1.5 Million", "2 Million")) +
scale_color_manual(values = c("Camera Production" = "#474747",
"USA Imports" = "black")) +
geom_vline(xintercept = 1950) +
geom_vline(xintercept = 1953) +
annotate(geom = "text",
label = "Korean\nWar", size = 5, color = "#474747",
x = 1951.5, y = 1000000) +
theme_bw() +
theme(axis.title = element_text(size = 10),
axis.text = element_text(size = 8),
title = element_text(size = 9.5),
plot.title = element_text(hjust = 0.5),
legend.position = c(0.15, 0.9),
legend.title = element_blank()) +
labs(x = "Year", y = "Japanese Cameras (Units)",
title = "Japanese Camera Production and USA Imports of Japanese Cameras\n (1945-1960)")
J_Cam <- Japan_Camera %>%
ggplot(aes(x = Year, y = Camera_Production)) +
geom_path(aes(frame = Year)) +
geom_point(aes(frame = Year))
Cam_Plotly <- ggplotly(J_Cam)
Cam_Plotly
Sys.setenv("plotly_username" = "RN1892")
Sys.setenv("plotly_api_key" = "M5PHBeFifVcHtfjfrFRv")
chart_link <- api_create(Cam_Plotly, filename = "camera-plot")
chart_link
df <- data.frame(
x = c(1,2,3,4),
y = c(1,2,3,4),
f = c(1,2,3,4)
)
p <- ggplot(df, aes(x, y)) +
geom_point(aes(frame = f))
ggplotly(p)
J_Cam
# time series tweenr -----------------------------------------------------
library(tweenr)
library(tidyverse)
data <- tribble(
~year, ~num,
1950, 56,
1951, 59,
1952, 64,
1953, 67,
1954, 69,
1955, 74,
1956, 78,
1957, 83
)
dat_ani <- map(seq(nrow(data)), ~data[c(seq(.x), rep(.x, nrow(data) - .x)), ]) %>%
tweenr::tween_states(5, 2, 'cubic-in-out', 100) %>%
ggplot(aes(year, num, frame = .frame)) +
geom_path() +
geom_point()
animation::ani.options(interval = 0.5) # speed it up
gganimate::gganimate(dat_ani, title_frame = FALSE)
seq(nrow(data))
# 1,2,3,4,5,6,7,8
map(seq(nrow(data)), ~data[c(seq(.x),
rep(.x, nrow(data) - .x)
),
]
)
dt <- map(seq(nrow(data)), ~data[c(seq(.x), rep(.x, nrow(data) - .x)), ])
str(dt, list.len = 2)
data[[1]]
data[[2]]
data[2, ]
data[1, ]
data[1, 2]
rep(1, nrow(data) - 1)
rep(1, nrow(data) - 6)
rep(3, nrow(data) - 3)
rep(2, nrow(data) - 3)
seq(data)
str(data)
nrow(Japan_Camera)
seq(nrow(Japan_Camera))
Japan_Camera[16, ]
Japan_Camera[3, 2]
Japan_Camera[3, rep(3, nrow(Japan_Camera) - 3)]
glimpse(Japan_Camera)
Japan_Camera[2, rep(2, nrow(Japan_Camera) - 2)]
Japan_Camera[c(seq(10)), rep(3, nrow(Japan_Camera) - 10)]
Japan_Camera[c(seq(10)), rep(1, nrow(Japan_Camera) - 10)]
Japan_Camera[c(seq(9)), rep(2, nrow(Japan_Camera) - 9)]
Japan_Camera[c(seq(5)), rep(2, nrow(Japan_Camera) - 5)]
rep(15, nrow(Japan_Camera)-15)
rep(4, nrow(Japan_Camera)-4)