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R ggplot geom_raster increase row height to avoid overlapping of points
ggplot: How to increase spacing between faceted plots?Adjust specific text lables in ggplot to avoid overlaphow to avoid overlapping labels with identical data points in scatterplot / ggplot?Increase size of points ggplotIncreasing minimum point size in ggplot geom_pointgeom_raster faceted plot with ggplot2: control row heightAvoid overlapping lines in a ggplothow to show in ggplot overlapping points as “segmented” pointsFilling rows when using facet_grid and geom_raster in ggplot2Using geom_raster function in ggplot, I conver my data to data frame, but it does not work
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0
Hi ggplot and R experts,
A newbie here. I have a usecase where I am using geom_raster for better optimisation.
Here is the reproducible R script:
require(ggplot2)
library(ggrepel)
# Create the data frame.
sales_data <- data.frame(
emp_name = rep(c("Sam", "Dave", "John", "Harry", "Clark", "Kent", "Kenneth", "Richard", "Clement", "Toby", "Jonathan"), times = 50),
month = as.factor(rep(c("Jan", "Feb", "Mar", "Jan", "Feb", "Mar", "Jan", "Feb", "Mar", "Jan", "Jan"), times = 50)),
dept_name = as.factor(rep(c("Production", "Services", "Support", "Support", "Services", "Production", "Production", "Support", "Support", "Support", "Production"), times = 50)),
revenue = rep(c(100, 200, 300, 400, 500, 600, 500, 400, 300, 200, 500), times = 50),
status = rep(c("Low", "Medium", "Medium", "High", "Very High", "Very High", "Very High", "High", "Medium", "Medium", "Low"), times = 50)
)
sales_data$month <- factor(sales_data$month, levels = c("Jan", "Feb", "Mar"))
month_vector <- levels(sales_data$month)
number_of_enteries <- nrow(sales_data)
sales_data$status <- factor(sales_data$status, levels = c("Low", "Medium", "High", "Very High"))
sales_data$month <- as.integer(sales_data$month)
ggplot(sales_data, aes(x = month, y = dept_name)) +
geom_raster(data = expand.grid(sales_data$month, sales_data$dept_name),
aes(x = Var1, y = Var2, width=1, height=1), fill = NA, col = 'gray50', lty = 1) + #default width and height is 1
#SAFE: geom_point(aes(size = revenue, col = revenue),
# shape = 16, position = position_jitter(seed = 0), show.legend = F) +
geom_point(aes(size = status, colour = cut(revenue, c(-Inf, 199, 301, Inf)) ),
shape = 16, position = position_jitter(seed = 0), show.legend = F) +
scale_color_manual(name = "revenue",
values = c("(-Inf,199]" = "red",
"(199,301]" = "#ffbf00", #amber
"(301, Inf]" = "green") ) +
geom_text(aes(label = revenue), size=4, vjust = 1.6, position = position_jitter(seed = 0)) + #try with geom_text
theme_bw() +
theme(
axis.title = element_blank(),
axis.ticks = element_blank(),
plot.background = element_blank(),
axis.line = element_blank(),
panel.border = element_blank(),
panel.grid = element_blank(),
axis.text = element_text(colour = "blue", face = "plain", size =11)
) +
scale_x_continuous(limits=c(0.5,3.5), expand = c(0,0), breaks = 1:length(month_vector), labels = month_vector) +
# Remove extra whitespace from y-axis so lines are against the axis
scale_y_discrete(expand = c(0,0)) +
# Add straight lines at each factor level, shifted left/down so they're between values
geom_hline(yintercept = as.numeric(sales_data$dept_name) + 0.5) +
geom_vline(xintercept = as.numeric(sales_data$month) - 0.5, color = "grey")
Output Plot:
As, one can see that, lots of overlapping is there.
I have 2 questions here:
How we can increase the height of row so that there will be more space for
geom_point. Can we usefacet_gridin this case ? I am not sure here, how and whether to usefacet_gridIs there any other way than
position_jitterto randomly plot bubbles so that they don't overlap ?
Please help ! I am sure this question will help many beginners in future as it is not addressed anywhere in SO or other platform.
r ggplot2 geom-raster
asked Mar 23 at 17:33
Om Prakash SaoOm Prakash Sao
1,5111330
|
show 2 more comments
0
Hi ggplot and R experts,
A newbie here. I have a usecase where I am using geom_raster for better optimisation.
Here is the reproducible R script:
require(ggplot2)
library(ggrepel)
# Create the data frame.
sales_data <- data.frame(
emp_name = rep(c("Sam", "Dave", "John", "Harry", "Clark", "Kent", "Kenneth", "Richard", "Clement", "Toby", "Jonathan"), times = 50),
month = as.factor(rep(c("Jan", "Feb", "Mar", "Jan", "Feb", "Mar", "Jan", "Feb", "Mar", "Jan", "Jan"), times = 50)),
dept_name = as.factor(rep(c("Production", "Services", "Support", "Support", "Services", "Production", "Production", "Support", "Support", "Support", "Production"), times = 50)),
revenue = rep(c(100, 200, 300, 400, 500, 600, 500, 400, 300, 200, 500), times = 50),
status = rep(c("Low", "Medium", "Medium", "High", "Very High", "Very High", "Very High", "High", "Medium", "Medium", "Low"), times = 50)
)
sales_data$month <- factor(sales_data$month, levels = c("Jan", "Feb", "Mar"))
month_vector <- levels(sales_data$month)
number_of_enteries <- nrow(sales_data)
sales_data$status <- factor(sales_data$status, levels = c("Low", "Medium", "High", "Very High"))
sales_data$month <- as.integer(sales_data$month)
ggplot(sales_data, aes(x = month, y = dept_name)) +
geom_raster(data = expand.grid(sales_data$month, sales_data$dept_name),
aes(x = Var1, y = Var2, width=1, height=1), fill = NA, col = 'gray50', lty = 1) + #default width and height is 1
#SAFE: geom_point(aes(size = revenue, col = revenue),
# shape = 16, position = position_jitter(seed = 0), show.legend = F) +
geom_point(aes(size = status, colour = cut(revenue, c(-Inf, 199, 301, Inf)) ),
shape = 16, position = position_jitter(seed = 0), show.legend = F) +
scale_color_manual(name = "revenue",
values = c("(-Inf,199]" = "red",
"(199,301]" = "#ffbf00", #amber
"(301, Inf]" = "green") ) +
geom_text(aes(label = revenue), size=4, vjust = 1.6, position = position_jitter(seed = 0)) + #try with geom_text
theme_bw() +
theme(
axis.title = element_blank(),
axis.ticks = element_blank(),
plot.background = element_blank(),
axis.line = element_blank(),
panel.border = element_blank(),
panel.grid = element_blank(),
axis.text = element_text(colour = "blue", face = "plain", size =11)
) +
scale_x_continuous(limits=c(0.5,3.5), expand = c(0,0), breaks = 1:length(month_vector), labels = month_vector) +
# Remove extra whitespace from y-axis so lines are against the axis
scale_y_discrete(expand = c(0,0)) +
# Add straight lines at each factor level, shifted left/down so they're between values
geom_hline(yintercept = as.numeric(sales_data$dept_name) + 0.5) +
geom_vline(xintercept = as.numeric(sales_data$month) - 0.5, color = "grey")
Output Plot:
As, one can see that, lots of overlapping is there.
I have 2 questions here:
How we can increase the height of row so that there will be more space for
geom_point. Can we usefacet_gridin this case ? I am not sure here, how and whether to usefacet_gridIs there any other way than
position_jitterto randomly plot bubbles so that they don't overlap ?
Please help ! I am sure this question will help many beginners in future as it is not addressed anywhere in SO or other platform.
r ggplot2 geom-raster
asked Mar 23 at 17:33
Om Prakash SaoOm Prakash Sao
1,5111330
Not only is there a lot of overlap, but in each of the six panels, one or at most two numbers occur again and again. For this sample data at least, this might not be the most informative type of plot to begin with. And in any case, you might consider using the color to indicate the revenue (e.g., lighter color -- less revenue).
– dipetkov
Mar 23 at 18:56
Hi dipetkov, this is for the demo for SO. let's say in real case I have some fields which are quite different. Then is there any way out ?
– Om Prakash Sao
Mar 23 at 20:50
Wouldn't it be difficult to read that many labels? Perhaps you can consider displaying the labels for just some points? The "most important" points according to some definition of importance.
– dipetkov
Mar 23 at 21:14
If the size of plot is right there will be lesser overlap and with geom_text_repel and jitter use overlap will be minimum. I want to know that can we increase the height of the row ?
– Om Prakash Sao
Mar 23 at 23:57
1
You can specify the size of the plot when you save it withggsave. See thewidthandheightarguments.
– dipetkov
Mar 24 at 0:01
|
show 2 more comments
0
0
0
Hi ggplot and R experts,
A newbie here. I have a usecase where I am using geom_raster for better optimisation.
Here is the reproducible R script:
require(ggplot2)
library(ggrepel)
# Create the data frame.
sales_data <- data.frame(
emp_name = rep(c("Sam", "Dave", "John", "Harry", "Clark", "Kent", "Kenneth", "Richard", "Clement", "Toby", "Jonathan"), times = 50),
month = as.factor(rep(c("Jan", "Feb", "Mar", "Jan", "Feb", "Mar", "Jan", "Feb", "Mar", "Jan", "Jan"), times = 50)),
dept_name = as.factor(rep(c("Production", "Services", "Support", "Support", "Services", "Production", "Production", "Support", "Support", "Support", "Production"), times = 50)),
revenue = rep(c(100, 200, 300, 400, 500, 600, 500, 400, 300, 200, 500), times = 50),
status = rep(c("Low", "Medium", "Medium", "High", "Very High", "Very High", "Very High", "High", "Medium", "Medium", "Low"), times = 50)
)
sales_data$month <- factor(sales_data$month, levels = c("Jan", "Feb", "Mar"))
month_vector <- levels(sales_data$month)
number_of_enteries <- nrow(sales_data)
sales_data$status <- factor(sales_data$status, levels = c("Low", "Medium", "High", "Very High"))
sales_data$month <- as.integer(sales_data$month)
ggplot(sales_data, aes(x = month, y = dept_name)) +
geom_raster(data = expand.grid(sales_data$month, sales_data$dept_name),
aes(x = Var1, y = Var2, width=1, height=1), fill = NA, col = 'gray50', lty = 1) + #default width and height is 1
#SAFE: geom_point(aes(size = revenue, col = revenue),
# shape = 16, position = position_jitter(seed = 0), show.legend = F) +
geom_point(aes(size = status, colour = cut(revenue, c(-Inf, 199, 301, Inf)) ),
shape = 16, position = position_jitter(seed = 0), show.legend = F) +
scale_color_manual(name = "revenue",
values = c("(-Inf,199]" = "red",
"(199,301]" = "#ffbf00", #amber
"(301, Inf]" = "green") ) +
geom_text(aes(label = revenue), size=4, vjust = 1.6, position = position_jitter(seed = 0)) + #try with geom_text
theme_bw() +
theme(
axis.title = element_blank(),
axis.ticks = element_blank(),
plot.background = element_blank(),
axis.line = element_blank(),
panel.border = element_blank(),
panel.grid = element_blank(),
axis.text = element_text(colour = "blue", face = "plain", size =11)
) +
scale_x_continuous(limits=c(0.5,3.5), expand = c(0,0), breaks = 1:length(month_vector), labels = month_vector) +
# Remove extra whitespace from y-axis so lines are against the axis
scale_y_discrete(expand = c(0,0)) +
# Add straight lines at each factor level, shifted left/down so they're between values
geom_hline(yintercept = as.numeric(sales_data$dept_name) + 0.5) +
geom_vline(xintercept = as.numeric(sales_data$month) - 0.5, color = "grey")
Output Plot:
As, one can see that, lots of overlapping is there.
I have 2 questions here:
How we can increase the height of row so that there will be more space for
geom_point. Can we usefacet_gridin this case ? I am not sure here, how and whether to usefacet_gridIs there any other way than
position_jitterto randomly plot bubbles so that they don't overlap ?
Please help ! I am sure this question will help many beginners in future as it is not addressed anywhere in SO or other platform.
r ggplot2 geom-raster
asked Mar 23 at 17:33
Om Prakash SaoOm Prakash Sao
1,5111330
Hi ggplot and R experts,
A newbie here. I have a usecase where I am using geom_raster for better optimisation.
Here is the reproducible R script:
require(ggplot2)
library(ggrepel)
# Create the data frame.
sales_data <- data.frame(
emp_name = rep(c("Sam", "Dave", "John", "Harry", "Clark", "Kent", "Kenneth", "Richard", "Clement", "Toby", "Jonathan"), times = 50),
month = as.factor(rep(c("Jan", "Feb", "Mar", "Jan", "Feb", "Mar", "Jan", "Feb", "Mar", "Jan", "Jan"), times = 50)),
dept_name = as.factor(rep(c("Production", "Services", "Support", "Support", "Services", "Production", "Production", "Support", "Support", "Support", "Production"), times = 50)),
revenue = rep(c(100, 200, 300, 400, 500, 600, 500, 400, 300, 200, 500), times = 50),
status = rep(c("Low", "Medium", "Medium", "High", "Very High", "Very High", "Very High", "High", "Medium", "Medium", "Low"), times = 50)
)
sales_data$month <- factor(sales_data$month, levels = c("Jan", "Feb", "Mar"))
month_vector <- levels(sales_data$month)
number_of_enteries <- nrow(sales_data)
sales_data$status <- factor(sales_data$status, levels = c("Low", "Medium", "High", "Very High"))
sales_data$month <- as.integer(sales_data$month)
ggplot(sales_data, aes(x = month, y = dept_name)) +
geom_raster(data = expand.grid(sales_data$month, sales_data$dept_name),
aes(x = Var1, y = Var2, width=1, height=1), fill = NA, col = 'gray50', lty = 1) + #default width and height is 1
#SAFE: geom_point(aes(size = revenue, col = revenue),
# shape = 16, position = position_jitter(seed = 0), show.legend = F) +
geom_point(aes(size = status, colour = cut(revenue, c(-Inf, 199, 301, Inf)) ),
shape = 16, position = position_jitter(seed = 0), show.legend = F) +
scale_color_manual(name = "revenue",
values = c("(-Inf,199]" = "red",
"(199,301]" = "#ffbf00", #amber
"(301, Inf]" = "green") ) +
geom_text(aes(label = revenue), size=4, vjust = 1.6, position = position_jitter(seed = 0)) + #try with geom_text
theme_bw() +
theme(
axis.title = element_blank(),
axis.ticks = element_blank(),
plot.background = element_blank(),
axis.line = element_blank(),
panel.border = element_blank(),
panel.grid = element_blank(),
axis.text = element_text(colour = "blue", face = "plain", size =11)
) +
scale_x_continuous(limits=c(0.5,3.5), expand = c(0,0), breaks = 1:length(month_vector), labels = month_vector) +
# Remove extra whitespace from y-axis so lines are against the axis
scale_y_discrete(expand = c(0,0)) +
# Add straight lines at each factor level, shifted left/down so they're between values
geom_hline(yintercept = as.numeric(sales_data$dept_name) + 0.5) +
geom_vline(xintercept = as.numeric(sales_data$month) - 0.5, color = "grey")
Output Plot:
As, one can see that, lots of overlapping is there.
I have 2 questions here:
How we can increase the height of row so that there will be more space for
geom_point. Can we usefacet_gridin this case ? I am not sure here, how and whether to usefacet_gridIs there any other way than
position_jitterto randomly plot bubbles so that they don't overlap ?
Please help ! I am sure this question will help many beginners in future as it is not addressed anywhere in SO or other platform.
r ggplot2 geom-raster
r ggplot2 geom-raster
asked Mar 23 at 17:33
Om Prakash SaoOm Prakash Sao
1,5111330
asked Mar 23 at 17:33
Om Prakash SaoOm Prakash Sao
1,5111330
edited Mar 23 at 17:41
Om Prakash Sao
asked Mar 23 at 17:33
Om Prakash SaoOm Prakash Sao
1,5111330
asked Mar 23 at 17:33
Om Prakash SaoOm Prakash Sao
1,5111330
asked Mar 23 at 17:33
Om Prakash SaoOm Prakash Sao
1,5111330
1,5111330
Not only is there a lot of overlap, but in each of the six panels, one or at most two numbers occur again and again. For this sample data at least, this might not be the most informative type of plot to begin with. And in any case, you might consider using the color to indicate the revenue (e.g., lighter color -- less revenue).
– dipetkov
Mar 23 at 18:56
Hi dipetkov, this is for the demo for SO. let's say in real case I have some fields which are quite different. Then is there any way out ?
– Om Prakash Sao
Mar 23 at 20:50
Wouldn't it be difficult to read that many labels? Perhaps you can consider displaying the labels for just some points? The "most important" points according to some definition of importance.
– dipetkov
Mar 23 at 21:14
If the size of plot is right there will be lesser overlap and with geom_text_repel and jitter use overlap will be minimum. I want to know that can we increase the height of the row ?
– Om Prakash Sao
Mar 23 at 23:57
1
You can specify the size of the plot when you save it withggsave. See thewidthandheightarguments.
– dipetkov
Mar 24 at 0:01
|
show 2 more comments
Not only is there a lot of overlap, but in each of the six panels, one or at most two numbers occur again and again. For this sample data at least, this might not be the most informative type of plot to begin with. And in any case, you might consider using the color to indicate the revenue (e.g., lighter color -- less revenue).
– dipetkov
Mar 23 at 18:56
Hi dipetkov, this is for the demo for SO. let's say in real case I have some fields which are quite different. Then is there any way out ?
– Om Prakash Sao
Mar 23 at 20:50
Wouldn't it be difficult to read that many labels? Perhaps you can consider displaying the labels for just some points? The "most important" points according to some definition of importance.
– dipetkov
Mar 23 at 21:14
If the size of plot is right there will be lesser overlap and with geom_text_repel and jitter use overlap will be minimum. I want to know that can we increase the height of the row ?
– Om Prakash Sao
Mar 23 at 23:57
1
You can specify the size of the plot when you save it withggsave. See thewidthandheightarguments.
– dipetkov
Mar 24 at 0:01
Not only is there a lot of overlap, but in each of the six panels, one or at most two numbers occur again and again. For this sample data at least, this might not be the most informative type of plot to begin with. And in any case, you might consider using the color to indicate the revenue (e.g., lighter color -- less revenue).
– dipetkov
Mar 23 at 18:56
Not only is there a lot of overlap, but in each of the six panels, one or at most two numbers occur again and again. For this sample data at least, this might not be the most informative type of plot to begin with. And in any case, you might consider using the color to indicate the revenue (e.g., lighter color -- less revenue).
– dipetkov
Mar 23 at 18:56
Hi dipetkov, this is for the demo for SO. let's say in real case I have some fields which are quite different. Then is there any way out ?
– Om Prakash Sao
Mar 23 at 20:50
Hi dipetkov, this is for the demo for SO. let's say in real case I have some fields which are quite different. Then is there any way out ?
– Om Prakash Sao
Mar 23 at 20:50
Wouldn't it be difficult to read that many labels? Perhaps you can consider displaying the labels for just some points? The "most important" points according to some definition of importance.
– dipetkov
Mar 23 at 21:14
Wouldn't it be difficult to read that many labels? Perhaps you can consider displaying the labels for just some points? The "most important" points according to some definition of importance.
– dipetkov
Mar 23 at 21:14
If the size of plot is right there will be lesser overlap and with geom_text_repel and jitter use overlap will be minimum. I want to know that can we increase the height of the row ?
– Om Prakash Sao
Mar 23 at 23:57
If the size of plot is right there will be lesser overlap and with geom_text_repel and jitter use overlap will be minimum. I want to know that can we increase the height of the row ?
– Om Prakash Sao
Mar 23 at 23:57
1
1
You can specify the size of the plot when you save it with
ggsave. See the width and height arguments.– dipetkov
Mar 24 at 0:01
You can specify the size of the plot when you save it with
ggsave. See the width and height arguments.– dipetkov
Mar 24 at 0:01
|
show 2 more comments
0
active
oldest
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Not only is there a lot of overlap, but in each of the six panels, one or at most two numbers occur again and again. For this sample data at least, this might not be the most informative type of plot to begin with. And in any case, you might consider using the color to indicate the revenue (e.g., lighter color -- less revenue).
– dipetkov
Mar 23 at 18:56
Hi dipetkov, this is for the demo for SO. let's say in real case I have some fields which are quite different. Then is there any way out ?
– Om Prakash Sao
Mar 23 at 20:50
Wouldn't it be difficult to read that many labels? Perhaps you can consider displaying the labels for just some points? The "most important" points according to some definition of importance.
– dipetkov
Mar 23 at 21:14
If the size of plot is right there will be lesser overlap and with geom_text_repel and jitter use overlap will be minimum. I want to know that can we increase the height of the row ?
– Om Prakash Sao
Mar 23 at 23:57
1
You can specify the size of the plot when you save it with
ggsave. See thewidthandheightarguments.– dipetkov
Mar 24 at 0:01