Plot dates with regular interval in R
up vote
-1
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I am trying to plot a graph in R. A snippet of the data set is shown below.
DAY B C
2017-06-01 2946 197.5053
2017-06-02 5215 489.7401
2017-06-03 6305 740.6357
2017-06-04 6442 867.5795
2017-06-05 5758 1016.4603
2017-06-06 5037 1156.0188
The graph I am trying to develop is a plot of DAY (X-Axis) vs B OR C...as illustrated below.
plot(data$DAY, data$B, cex=0.5, xlab = "Date", ylab = "Revenue")
The variables runs for about 3 months. I am having challenges representing the intervals on the x-Axis as I want.
What I want to do is:
format: show day and month;
intervals: every 5 days.
It has been difficult finding a solution on Base R. Most recommendations point to some complicated package and code, which is difficult to understand or apply.
Anyone with a simple solution?
Thanks.
r plot
asked Nov 11 at 11:10
SBlow
95
add a comment |
up vote
-1
down vote
favorite
I am trying to plot a graph in R. A snippet of the data set is shown below.
DAY B C
2017-06-01 2946 197.5053
2017-06-02 5215 489.7401
2017-06-03 6305 740.6357
2017-06-04 6442 867.5795
2017-06-05 5758 1016.4603
2017-06-06 5037 1156.0188
The graph I am trying to develop is a plot of DAY (X-Axis) vs B OR C...as illustrated below.
plot(data$DAY, data$B, cex=0.5, xlab = "Date", ylab = "Revenue")
The variables runs for about 3 months. I am having challenges representing the intervals on the x-Axis as I want.
What I want to do is:
format: show day and month;
intervals: every 5 days.
It has been difficult finding a solution on Base R. Most recommendations point to some complicated package and code, which is difficult to understand or apply.
Anyone with a simple solution?
Thanks.
r plot
asked Nov 11 at 11:10
SBlow
95
ggplot2 is actually really straightforward if you take the time to work through the examples (I'm assuming that's the "complicated" package). And there are numerous examples on SO for how to use it to change axis labels.
– hrbrmstr
Nov 11 at 11:41
It actually is the complicated package I had in mind. I so far do most of my programming on base R. Maybe I would have another look at it @hrbrmstr thanks
– SBlow
Nov 11 at 12:20
add a comment |
up vote
-1
down vote
favorite
up vote
-1
down vote
favorite
I am trying to plot a graph in R. A snippet of the data set is shown below.
DAY B C
2017-06-01 2946 197.5053
2017-06-02 5215 489.7401
2017-06-03 6305 740.6357
2017-06-04 6442 867.5795
2017-06-05 5758 1016.4603
2017-06-06 5037 1156.0188
The graph I am trying to develop is a plot of DAY (X-Axis) vs B OR C...as illustrated below.
plot(data$DAY, data$B, cex=0.5, xlab = "Date", ylab = "Revenue")
The variables runs for about 3 months. I am having challenges representing the intervals on the x-Axis as I want.
What I want to do is:
format: show day and month;
intervals: every 5 days.
It has been difficult finding a solution on Base R. Most recommendations point to some complicated package and code, which is difficult to understand or apply.
Anyone with a simple solution?
Thanks.
r plot
asked Nov 11 at 11:10
SBlow
95
I am trying to plot a graph in R. A snippet of the data set is shown below.
DAY B C
2017-06-01 2946 197.5053
2017-06-02 5215 489.7401
2017-06-03 6305 740.6357
2017-06-04 6442 867.5795
2017-06-05 5758 1016.4603
2017-06-06 5037 1156.0188
The graph I am trying to develop is a plot of DAY (X-Axis) vs B OR C...as illustrated below.
plot(data$DAY, data$B, cex=0.5, xlab = "Date", ylab = "Revenue")
The variables runs for about 3 months. I am having challenges representing the intervals on the x-Axis as I want.
What I want to do is:
format: show day and month;
intervals: every 5 days.
It has been difficult finding a solution on Base R. Most recommendations point to some complicated package and code, which is difficult to understand or apply.
Anyone with a simple solution?
Thanks.
r plot
r plot
asked Nov 11 at 11:10
SBlow
95
asked Nov 11 at 11:10
SBlow
95
edited Nov 11 at 11:26
asked Nov 11 at 11:10
SBlow
95
asked Nov 11 at 11:10
SBlow
95
asked Nov 11 at 11:10
SBlow
95
95
ggplot2 is actually really straightforward if you take the time to work through the examples (I'm assuming that's the "complicated" package). And there are numerous examples on SO for how to use it to change axis labels.
– hrbrmstr
Nov 11 at 11:41
It actually is the complicated package I had in mind. I so far do most of my programming on base R. Maybe I would have another look at it @hrbrmstr thanks
– SBlow
Nov 11 at 12:20
add a comment |
ggplot2 is actually really straightforward if you take the time to work through the examples (I'm assuming that's the "complicated" package). And there are numerous examples on SO for how to use it to change axis labels.
– hrbrmstr
Nov 11 at 11:41
It actually is the complicated package I had in mind. I so far do most of my programming on base R. Maybe I would have another look at it @hrbrmstr thanks
– SBlow
Nov 11 at 12:20
ggplot2 is actually really straightforward if you take the time to work through the examples (I'm assuming that's the "complicated" package). And there are numerous examples on SO for how to use it to change axis labels.
– hrbrmstr
Nov 11 at 11:41
ggplot2 is actually really straightforward if you take the time to work through the examples (I'm assuming that's the "complicated" package). And there are numerous examples on SO for how to use it to change axis labels.
– hrbrmstr
Nov 11 at 11:41
It actually is the complicated package I had in mind. I so far do most of my programming on base R. Maybe I would have another look at it @hrbrmstr thanks
– SBlow
Nov 11 at 12:20
It actually is the complicated package I had in mind. I so far do most of my programming on base R. Maybe I would have another look at it @hrbrmstr thanks
– SBlow
Nov 11 at 12:20
add a comment |
1 Answer
1
active
oldest
votes
up vote
0
down vote
library(tidyverse)
set.seed(2018-11-11)
data_frame(
DAY = seq(as.Date("2017-06-01"), as.Date("2017-08-31"), "1 day"),
B = sample(1000:6000, length(DAY)),
C = abs(rnorm(length(DAY))) * 1000
) -> sample_data
ggplot(sample_data) +
geom_point(aes(x = DAY, y = B), shape = 21) +
scale_x_date(date_breaks = "5 days", date_labels = "%bn%d") +
labs(x = "Date", y = "Revenue") +
theme_bw() +
theme(panel.grid = element_blank())
You claim:
plot(data$DAY, data$B, cex=0.5, xlab = "Date", ylab = "Revenue")
is easier. I'll grant you it defaults to a scatterplot but now you want to do something that's going to require calling more base plot functions to customize the plot so you don't get much for free.
ggplotis only _two more lettersthanplot`- You get to specify the data frame once vs have to constantly
$reference columns
plotdefaults to shape 21 but you'd need to use that same parameter in base plots to use different shapes so there's no difference
geom_point()sounds pretty straightforward to me- the
scale_x_date()line looks pretty straightforward to me - theme-ing does take some reading and practice, just like anything worthwhile
answered Nov 11 at 11:54
hrbrmstr
59.6k585146
It actual is much easier. Thanks again. This works.
– SBlow
Nov 11 at 12:23
add a comment |
1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
up vote
0
down vote
library(tidyverse)
set.seed(2018-11-11)
data_frame(
DAY = seq(as.Date("2017-06-01"), as.Date("2017-08-31"), "1 day"),
B = sample(1000:6000, length(DAY)),
C = abs(rnorm(length(DAY))) * 1000
) -> sample_data
ggplot(sample_data) +
geom_point(aes(x = DAY, y = B), shape = 21) +
scale_x_date(date_breaks = "5 days", date_labels = "%bn%d") +
labs(x = "Date", y = "Revenue") +
theme_bw() +
theme(panel.grid = element_blank())
You claim:
plot(data$DAY, data$B, cex=0.5, xlab = "Date", ylab = "Revenue")
is easier. I'll grant you it defaults to a scatterplot but now you want to do something that's going to require calling more base plot functions to customize the plot so you don't get much for free.
ggplotis only _two more lettersthanplot`- You get to specify the data frame once vs have to constantly
$reference columns
plotdefaults to shape 21 but you'd need to use that same parameter in base plots to use different shapes so there's no difference
geom_point()sounds pretty straightforward to me- the
scale_x_date()line looks pretty straightforward to me - theme-ing does take some reading and practice, just like anything worthwhile
answered Nov 11 at 11:54
hrbrmstr
59.6k585146
It actual is much easier. Thanks again. This works.
– SBlow
Nov 11 at 12:23
add a comment |
up vote
0
down vote
library(tidyverse)
set.seed(2018-11-11)
data_frame(
DAY = seq(as.Date("2017-06-01"), as.Date("2017-08-31"), "1 day"),
B = sample(1000:6000, length(DAY)),
C = abs(rnorm(length(DAY))) * 1000
) -> sample_data
ggplot(sample_data) +
geom_point(aes(x = DAY, y = B), shape = 21) +
scale_x_date(date_breaks = "5 days", date_labels = "%bn%d") +
labs(x = "Date", y = "Revenue") +
theme_bw() +
theme(panel.grid = element_blank())
You claim:
plot(data$DAY, data$B, cex=0.5, xlab = "Date", ylab = "Revenue")
is easier. I'll grant you it defaults to a scatterplot but now you want to do something that's going to require calling more base plot functions to customize the plot so you don't get much for free.
ggplotis only _two more lettersthanplot`- You get to specify the data frame once vs have to constantly
$reference columns
plotdefaults to shape 21 but you'd need to use that same parameter in base plots to use different shapes so there's no difference
geom_point()sounds pretty straightforward to me- the
scale_x_date()line looks pretty straightforward to me - theme-ing does take some reading and practice, just like anything worthwhile
answered Nov 11 at 11:54
hrbrmstr
59.6k585146
It actual is much easier. Thanks again. This works.
– SBlow
Nov 11 at 12:23
add a comment |
up vote
0
down vote
up vote
0
down vote
library(tidyverse)
set.seed(2018-11-11)
data_frame(
DAY = seq(as.Date("2017-06-01"), as.Date("2017-08-31"), "1 day"),
B = sample(1000:6000, length(DAY)),
C = abs(rnorm(length(DAY))) * 1000
) -> sample_data
ggplot(sample_data) +
geom_point(aes(x = DAY, y = B), shape = 21) +
scale_x_date(date_breaks = "5 days", date_labels = "%bn%d") +
labs(x = "Date", y = "Revenue") +
theme_bw() +
theme(panel.grid = element_blank())
You claim:
plot(data$DAY, data$B, cex=0.5, xlab = "Date", ylab = "Revenue")
is easier. I'll grant you it defaults to a scatterplot but now you want to do something that's going to require calling more base plot functions to customize the plot so you don't get much for free.
ggplotis only _two more lettersthanplot`- You get to specify the data frame once vs have to constantly
$reference columns
plotdefaults to shape 21 but you'd need to use that same parameter in base plots to use different shapes so there's no difference
geom_point()sounds pretty straightforward to me- the
scale_x_date()line looks pretty straightforward to me - theme-ing does take some reading and practice, just like anything worthwhile
answered Nov 11 at 11:54
hrbrmstr
59.6k585146
library(tidyverse)
set.seed(2018-11-11)
data_frame(
DAY = seq(as.Date("2017-06-01"), as.Date("2017-08-31"), "1 day"),
B = sample(1000:6000, length(DAY)),
C = abs(rnorm(length(DAY))) * 1000
) -> sample_data
ggplot(sample_data) +
geom_point(aes(x = DAY, y = B), shape = 21) +
scale_x_date(date_breaks = "5 days", date_labels = "%bn%d") +
labs(x = "Date", y = "Revenue") +
theme_bw() +
theme(panel.grid = element_blank())
You claim:
plot(data$DAY, data$B, cex=0.5, xlab = "Date", ylab = "Revenue")
is easier. I'll grant you it defaults to a scatterplot but now you want to do something that's going to require calling more base plot functions to customize the plot so you don't get much for free.
ggplotis only _two more lettersthanplot`- You get to specify the data frame once vs have to constantly
$reference columns
plotdefaults to shape 21 but you'd need to use that same parameter in base plots to use different shapes so there's no difference
geom_point()sounds pretty straightforward to me- the
scale_x_date()line looks pretty straightforward to me - theme-ing does take some reading and practice, just like anything worthwhile
answered Nov 11 at 11:54
hrbrmstr
59.6k585146
answered Nov 11 at 11:54
hrbrmstr
59.6k585146
answered Nov 11 at 11:54
hrbrmstr
59.6k585146
answered Nov 11 at 11:54
hrbrmstr
59.6k585146
59.6k585146
It actual is much easier. Thanks again. This works.
– SBlow
Nov 11 at 12:23
add a comment |
It actual is much easier. Thanks again. This works.
– SBlow
Nov 11 at 12:23
It actual is much easier. Thanks again. This works.
– SBlow
Nov 11 at 12:23
It actual is much easier. Thanks again. This works.
– SBlow
Nov 11 at 12:23
add a comment |
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ggplot2 is actually really straightforward if you take the time to work through the examples (I'm assuming that's the "complicated" package). And there are numerous examples on SO for how to use it to change axis labels.
– hrbrmstr
Nov 11 at 11:41
It actually is the complicated package I had in mind. I so far do most of my programming on base R. Maybe I would have another look at it @hrbrmstr thanks
– SBlow
Nov 11 at 12:20