Plot function only plots one amount in this dataframe. What could be the reason?
-1
I have created a long format dataframe
Category Amount
1 Angry 0.00000010230325
2 Fear 0.00000007393743
3 Happy 0.99942147731781
4 Neutral 0.00057571416255
5 Sad 0.00000002021321
6 Surprise 0.00000260657316
And the code is:
library(tidyverse)
library(ggplot2)
# There are plenty of ways to reshape the data frame,
# but I think `tidyr::gather()` is the easiest
dfr_long <- gather(dfr, key = "Category", value = "Amount")
ggplot(data = dfr_long, aes(x = Category, y = Amount)) +
geom_bar(stat = "identity")
However, as you see in the image, only Happy gets plotted and the rest are all in same level. I even tried to change the ylim to c(-1,0.99) but the plot still looks the same. How can I fix this?
r dataframe ggplot2 tidyverse
edited Nov 26 '18 at 0:18
neilfws
18.2k53749
asked Nov 26 '18 at 0:15
codeybankscodeybanks
205
|
show 3 more comments
-1
I have created a long format dataframe
Category Amount
1 Angry 0.00000010230325
2 Fear 0.00000007393743
3 Happy 0.99942147731781
4 Neutral 0.00057571416255
5 Sad 0.00000002021321
6 Surprise 0.00000260657316
And the code is:
library(tidyverse)
library(ggplot2)
# There are plenty of ways to reshape the data frame,
# but I think `tidyr::gather()` is the easiest
dfr_long <- gather(dfr, key = "Category", value = "Amount")
ggplot(data = dfr_long, aes(x = Category, y = Amount)) +
geom_bar(stat = "identity")
However, as you see in the image, only Happy gets plotted and the rest are all in same level. I even tried to change the ylim to c(-1,0.99) but the plot still looks the same. How can I fix this?
r dataframe ggplot2 tidyverse
edited Nov 26 '18 at 0:18
neilfws
18.2k53749
asked Nov 26 '18 at 0:15
codeybankscodeybanks
205
2
The value for happy is greater than 0.999. All other values are less than 0.001. You cannot expect to see those small values in a plot that is scaled 0 to 1. The other values should be less than 1/1000 the height of happy.
– G5W
Nov 26 '18 at 0:18
@neilfws I tried to change the ylim values but it still wouldnt plot. Is it not possible at all to plot such values?
– codeybanks
Nov 26 '18 at 0:22
1
They are being plotted. They're just minuscule. You can try+ scale_y_continuous(trans = "sqrt")but you then need to make sure you note the transformation in the plot labels.
– hrbrmstr
Nov 26 '18 at 0:24
The issue is the scale, as @G5W pointed out. You could try a log scale, e.g.+ scale_y_log10(), but then bars will not be appropriate, you could try points instead.
– neilfws
Nov 26 '18 at 0:26
1
@neilfws or multiplyAmountby ~100000000and uselog10and change the Y labels and add alot of notes about the transformation :-) @codeybanks we don't really know what these values represent but I'd suggest the values of the other categories are so small that they may be nigh irrelevant.
– hrbrmstr
Nov 26 '18 at 0:29
|
show 3 more comments
-1
-1
-1
I have created a long format dataframe
Category Amount
1 Angry 0.00000010230325
2 Fear 0.00000007393743
3 Happy 0.99942147731781
4 Neutral 0.00057571416255
5 Sad 0.00000002021321
6 Surprise 0.00000260657316
And the code is:
library(tidyverse)
library(ggplot2)
# There are plenty of ways to reshape the data frame,
# but I think `tidyr::gather()` is the easiest
dfr_long <- gather(dfr, key = "Category", value = "Amount")
ggplot(data = dfr_long, aes(x = Category, y = Amount)) +
geom_bar(stat = "identity")
However, as you see in the image, only Happy gets plotted and the rest are all in same level. I even tried to change the ylim to c(-1,0.99) but the plot still looks the same. How can I fix this?
r dataframe ggplot2 tidyverse
edited Nov 26 '18 at 0:18
neilfws
18.2k53749
asked Nov 26 '18 at 0:15
codeybankscodeybanks
205
I have created a long format dataframe
Category Amount
1 Angry 0.00000010230325
2 Fear 0.00000007393743
3 Happy 0.99942147731781
4 Neutral 0.00057571416255
5 Sad 0.00000002021321
6 Surprise 0.00000260657316
And the code is:
library(tidyverse)
library(ggplot2)
# There are plenty of ways to reshape the data frame,
# but I think `tidyr::gather()` is the easiest
dfr_long <- gather(dfr, key = "Category", value = "Amount")
ggplot(data = dfr_long, aes(x = Category, y = Amount)) +
geom_bar(stat = "identity")
However, as you see in the image, only Happy gets plotted and the rest are all in same level. I even tried to change the ylim to c(-1,0.99) but the plot still looks the same. How can I fix this?
r dataframe ggplot2 tidyverse
r dataframe ggplot2 tidyverse
edited Nov 26 '18 at 0:18
neilfws
18.2k53749
asked Nov 26 '18 at 0:15
codeybankscodeybanks
205
edited Nov 26 '18 at 0:18
neilfws
18.2k53749
asked Nov 26 '18 at 0:15
codeybankscodeybanks
205
edited Nov 26 '18 at 0:18
neilfws
18.2k53749
edited Nov 26 '18 at 0:18
neilfws
18.2k53749
edited Nov 26 '18 at 0:18
neilfws
18.2k53749
18.2k53749
asked Nov 26 '18 at 0:15
codeybankscodeybanks
205
asked Nov 26 '18 at 0:15
codeybankscodeybanks
205
asked Nov 26 '18 at 0:15
codeybankscodeybanks
205
205
2
The value for happy is greater than 0.999. All other values are less than 0.001. You cannot expect to see those small values in a plot that is scaled 0 to 1. The other values should be less than 1/1000 the height of happy.
– G5W
Nov 26 '18 at 0:18
@neilfws I tried to change the ylim values but it still wouldnt plot. Is it not possible at all to plot such values?
– codeybanks
Nov 26 '18 at 0:22
1
They are being plotted. They're just minuscule. You can try+ scale_y_continuous(trans = "sqrt")but you then need to make sure you note the transformation in the plot labels.
– hrbrmstr
Nov 26 '18 at 0:24
The issue is the scale, as @G5W pointed out. You could try a log scale, e.g.+ scale_y_log10(), but then bars will not be appropriate, you could try points instead.
– neilfws
Nov 26 '18 at 0:26
1
@neilfws or multiplyAmountby ~100000000and uselog10and change the Y labels and add alot of notes about the transformation :-) @codeybanks we don't really know what these values represent but I'd suggest the values of the other categories are so small that they may be nigh irrelevant.
– hrbrmstr
Nov 26 '18 at 0:29
|
show 3 more comments
2
The value for happy is greater than 0.999. All other values are less than 0.001. You cannot expect to see those small values in a plot that is scaled 0 to 1. The other values should be less than 1/1000 the height of happy.
– G5W
Nov 26 '18 at 0:18
@neilfws I tried to change the ylim values but it still wouldnt plot. Is it not possible at all to plot such values?
– codeybanks
Nov 26 '18 at 0:22
1
They are being plotted. They're just minuscule. You can try+ scale_y_continuous(trans = "sqrt")but you then need to make sure you note the transformation in the plot labels.
– hrbrmstr
Nov 26 '18 at 0:24
The issue is the scale, as @G5W pointed out. You could try a log scale, e.g.+ scale_y_log10(), but then bars will not be appropriate, you could try points instead.
– neilfws
Nov 26 '18 at 0:26
1
@neilfws or multiplyAmountby ~100000000and uselog10and change the Y labels and add alot of notes about the transformation :-) @codeybanks we don't really know what these values represent but I'd suggest the values of the other categories are so small that they may be nigh irrelevant.
– hrbrmstr
Nov 26 '18 at 0:29
2
2
The value for happy is greater than 0.999. All other values are less than 0.001. You cannot expect to see those small values in a plot that is scaled 0 to 1. The other values should be less than 1/1000 the height of happy.
– G5W
Nov 26 '18 at 0:18
The value for happy is greater than 0.999. All other values are less than 0.001. You cannot expect to see those small values in a plot that is scaled 0 to 1. The other values should be less than 1/1000 the height of happy.
– G5W
Nov 26 '18 at 0:18
@neilfws I tried to change the ylim values but it still wouldnt plot. Is it not possible at all to plot such values?
– codeybanks
Nov 26 '18 at 0:22
@neilfws I tried to change the ylim values but it still wouldnt plot. Is it not possible at all to plot such values?
– codeybanks
Nov 26 '18 at 0:22
1
1
They are being plotted. They're just minuscule. You can try
+ scale_y_continuous(trans = "sqrt") but you then need to make sure you note the transformation in the plot labels.– hrbrmstr
Nov 26 '18 at 0:24
They are being plotted. They're just minuscule. You can try
+ scale_y_continuous(trans = "sqrt") but you then need to make sure you note the transformation in the plot labels.– hrbrmstr
Nov 26 '18 at 0:24
The issue is the scale, as @G5W pointed out. You could try a log scale, e.g.
+ scale_y_log10(), but then bars will not be appropriate, you could try points instead.– neilfws
Nov 26 '18 at 0:26
The issue is the scale, as @G5W pointed out. You could try a log scale, e.g.
+ scale_y_log10(), but then bars will not be appropriate, you could try points instead.– neilfws
Nov 26 '18 at 0:26
1
1
@neilfws or multiply
Amount by ~100000000 and use log10 and change the Y labels and add alot of notes about the transformation :-) @codeybanks we don't really know what these values represent but I'd suggest the values of the other categories are so small that they may be nigh irrelevant.– hrbrmstr
Nov 26 '18 at 0:29
@neilfws or multiply
Amount by ~100000000 and use log10 and change the Y labels and add alot of notes about the transformation :-) @codeybanks we don't really know what these values represent but I'd suggest the values of the other categories are so small that they may be nigh irrelevant.– hrbrmstr
Nov 26 '18 at 0:29
|
show 3 more comments
1 Answer
1
active
oldest
votes
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Since your claim against my comment was woefully incorrect:
read.table(text="Category Amount
Angry 0.00000010230325
Fear 0.00000007393743
Happy 0.99942147731781
Neutral 0.00057571416255
Sad 0.00000002021321
Surprise 0.00000260657316", header=TRUE, stringsAsFactors=FALSE) -> dfr
ggplot(data = dfr, aes(x = Category, y = 100000000*Amount)) +
geom_bar(stat = "identity") +
scale_y_continuous(trans = "log10")
NOTE that ^^ seriously misrepresents the data and requires a ton of labeling to make sure your readers do not misinterpret it.
This:
ggplot(data = dfr, aes(x = Category, y = Amount)) +
geom_bar(stat = "identity") +
scale_y_continuous(trans = "sqrt")
is somewhat better but still requires you to do a substantial amount of labeling to ensure the data is not being misrepresented.
This:
options(scipen = 999)
dplyr::arrange(dfr, desc(Amount)) %>%
mutate(Category = factor(Category, levels = Category)) %>%
mutate(txt_col = dplyr::case_when(
Category == "Happy" ~ "white",
TRUE ~ "black"
)) %>%
ggplot(aes(x = Category, y = 1)) +
geom_tile(aes(fill = Amount), color = "white", size=0.125) +
geom_text(aes(label = Amount, color = I(txt_col)), size=2.5) +
viridis::scale_fill_viridis(direction = -1) +
coord_equal() +
labs(
x = NULL, y = NULL
) +
hrbrthemes::theme_ipsum_rc(grid="") +
theme(axis.text.y = element_blank())
is an alternate way to show the data but it's no more effective than a basic, ordered table would be IMO.
answered Nov 26 '18 at 0:42
hrbrmstrhrbrmstr
61.5k691152
add a comment |
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1
Since your claim against my comment was woefully incorrect:
read.table(text="Category Amount
Angry 0.00000010230325
Fear 0.00000007393743
Happy 0.99942147731781
Neutral 0.00057571416255
Sad 0.00000002021321
Surprise 0.00000260657316", header=TRUE, stringsAsFactors=FALSE) -> dfr
ggplot(data = dfr, aes(x = Category, y = 100000000*Amount)) +
geom_bar(stat = "identity") +
scale_y_continuous(trans = "log10")
NOTE that ^^ seriously misrepresents the data and requires a ton of labeling to make sure your readers do not misinterpret it.
This:
ggplot(data = dfr, aes(x = Category, y = Amount)) +
geom_bar(stat = "identity") +
scale_y_continuous(trans = "sqrt")
is somewhat better but still requires you to do a substantial amount of labeling to ensure the data is not being misrepresented.
This:
options(scipen = 999)
dplyr::arrange(dfr, desc(Amount)) %>%
mutate(Category = factor(Category, levels = Category)) %>%
mutate(txt_col = dplyr::case_when(
Category == "Happy" ~ "white",
TRUE ~ "black"
)) %>%
ggplot(aes(x = Category, y = 1)) +
geom_tile(aes(fill = Amount), color = "white", size=0.125) +
geom_text(aes(label = Amount, color = I(txt_col)), size=2.5) +
viridis::scale_fill_viridis(direction = -1) +
coord_equal() +
labs(
x = NULL, y = NULL
) +
hrbrthemes::theme_ipsum_rc(grid="") +
theme(axis.text.y = element_blank())
is an alternate way to show the data but it's no more effective than a basic, ordered table would be IMO.
answered Nov 26 '18 at 0:42
hrbrmstrhrbrmstr
61.5k691152
add a comment |
1
Since your claim against my comment was woefully incorrect:
read.table(text="Category Amount
Angry 0.00000010230325
Fear 0.00000007393743
Happy 0.99942147731781
Neutral 0.00057571416255
Sad 0.00000002021321
Surprise 0.00000260657316", header=TRUE, stringsAsFactors=FALSE) -> dfr
ggplot(data = dfr, aes(x = Category, y = 100000000*Amount)) +
geom_bar(stat = "identity") +
scale_y_continuous(trans = "log10")
NOTE that ^^ seriously misrepresents the data and requires a ton of labeling to make sure your readers do not misinterpret it.
This:
ggplot(data = dfr, aes(x = Category, y = Amount)) +
geom_bar(stat = "identity") +
scale_y_continuous(trans = "sqrt")
is somewhat better but still requires you to do a substantial amount of labeling to ensure the data is not being misrepresented.
This:
options(scipen = 999)
dplyr::arrange(dfr, desc(Amount)) %>%
mutate(Category = factor(Category, levels = Category)) %>%
mutate(txt_col = dplyr::case_when(
Category == "Happy" ~ "white",
TRUE ~ "black"
)) %>%
ggplot(aes(x = Category, y = 1)) +
geom_tile(aes(fill = Amount), color = "white", size=0.125) +
geom_text(aes(label = Amount, color = I(txt_col)), size=2.5) +
viridis::scale_fill_viridis(direction = -1) +
coord_equal() +
labs(
x = NULL, y = NULL
) +
hrbrthemes::theme_ipsum_rc(grid="") +
theme(axis.text.y = element_blank())
is an alternate way to show the data but it's no more effective than a basic, ordered table would be IMO.
answered Nov 26 '18 at 0:42
hrbrmstrhrbrmstr
61.5k691152
add a comment |
1
1
1
Since your claim against my comment was woefully incorrect:
read.table(text="Category Amount
Angry 0.00000010230325
Fear 0.00000007393743
Happy 0.99942147731781
Neutral 0.00057571416255
Sad 0.00000002021321
Surprise 0.00000260657316", header=TRUE, stringsAsFactors=FALSE) -> dfr
ggplot(data = dfr, aes(x = Category, y = 100000000*Amount)) +
geom_bar(stat = "identity") +
scale_y_continuous(trans = "log10")
NOTE that ^^ seriously misrepresents the data and requires a ton of labeling to make sure your readers do not misinterpret it.
This:
ggplot(data = dfr, aes(x = Category, y = Amount)) +
geom_bar(stat = "identity") +
scale_y_continuous(trans = "sqrt")
is somewhat better but still requires you to do a substantial amount of labeling to ensure the data is not being misrepresented.
This:
options(scipen = 999)
dplyr::arrange(dfr, desc(Amount)) %>%
mutate(Category = factor(Category, levels = Category)) %>%
mutate(txt_col = dplyr::case_when(
Category == "Happy" ~ "white",
TRUE ~ "black"
)) %>%
ggplot(aes(x = Category, y = 1)) +
geom_tile(aes(fill = Amount), color = "white", size=0.125) +
geom_text(aes(label = Amount, color = I(txt_col)), size=2.5) +
viridis::scale_fill_viridis(direction = -1) +
coord_equal() +
labs(
x = NULL, y = NULL
) +
hrbrthemes::theme_ipsum_rc(grid="") +
theme(axis.text.y = element_blank())
is an alternate way to show the data but it's no more effective than a basic, ordered table would be IMO.
answered Nov 26 '18 at 0:42
hrbrmstrhrbrmstr
61.5k691152
Since your claim against my comment was woefully incorrect:
read.table(text="Category Amount
Angry 0.00000010230325
Fear 0.00000007393743
Happy 0.99942147731781
Neutral 0.00057571416255
Sad 0.00000002021321
Surprise 0.00000260657316", header=TRUE, stringsAsFactors=FALSE) -> dfr
ggplot(data = dfr, aes(x = Category, y = 100000000*Amount)) +
geom_bar(stat = "identity") +
scale_y_continuous(trans = "log10")
NOTE that ^^ seriously misrepresents the data and requires a ton of labeling to make sure your readers do not misinterpret it.
This:
ggplot(data = dfr, aes(x = Category, y = Amount)) +
geom_bar(stat = "identity") +
scale_y_continuous(trans = "sqrt")
is somewhat better but still requires you to do a substantial amount of labeling to ensure the data is not being misrepresented.
This:
options(scipen = 999)
dplyr::arrange(dfr, desc(Amount)) %>%
mutate(Category = factor(Category, levels = Category)) %>%
mutate(txt_col = dplyr::case_when(
Category == "Happy" ~ "white",
TRUE ~ "black"
)) %>%
ggplot(aes(x = Category, y = 1)) +
geom_tile(aes(fill = Amount), color = "white", size=0.125) +
geom_text(aes(label = Amount, color = I(txt_col)), size=2.5) +
viridis::scale_fill_viridis(direction = -1) +
coord_equal() +
labs(
x = NULL, y = NULL
) +
hrbrthemes::theme_ipsum_rc(grid="") +
theme(axis.text.y = element_blank())
is an alternate way to show the data but it's no more effective than a basic, ordered table would be IMO.
answered Nov 26 '18 at 0:42
hrbrmstrhrbrmstr
61.5k691152
edited Nov 26 '18 at 0:51
answered Nov 26 '18 at 0:42
hrbrmstrhrbrmstr
61.5k691152
answered Nov 26 '18 at 0:42
hrbrmstrhrbrmstr
61.5k691152
answered Nov 26 '18 at 0:42
hrbrmstrhrbrmstr
61.5k691152
61.5k691152
add a comment |
add a comment |
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2
The value for happy is greater than 0.999. All other values are less than 0.001. You cannot expect to see those small values in a plot that is scaled 0 to 1. The other values should be less than 1/1000 the height of happy.
– G5W
Nov 26 '18 at 0:18
@neilfws I tried to change the ylim values but it still wouldnt plot. Is it not possible at all to plot such values?
– codeybanks
Nov 26 '18 at 0:22
1
They are being plotted. They're just minuscule. You can try
+ scale_y_continuous(trans = "sqrt")but you then need to make sure you note the transformation in the plot labels.– hrbrmstr
Nov 26 '18 at 0:24
The issue is the scale, as @G5W pointed out. You could try a log scale, e.g.
+ scale_y_log10(), but then bars will not be appropriate, you could try points instead.– neilfws
Nov 26 '18 at 0:26
1
@neilfws or multiply
Amountby ~100000000and uselog10and change the Y labels and add alot of notes about the transformation :-) @codeybanks we don't really know what these values represent but I'd suggest the values of the other categories are so small that they may be nigh irrelevant.– hrbrmstr
Nov 26 '18 at 0:29