Is it 40% or 0.4%?
Did 5.25" floppies undergo a change in magnetic coating?
When was drinking water recognized as crucial in marathon running?
What do the pedals on grand pianos do?
If nine coins are tossed, what is the probability that the number of heads is even?
Compare four integers, return word based on maximum
Logistics of a hovering watercraft in a fantasy setting
How can I handle a player who pre-plans arguments about my rulings on RAW?
Pure Functions: Does "No Side Effects" Imply "Always Same Output, Given Same Input"?
Is it 40% or 0.4%?
Are small insurances worth it
Six real numbers so that product of any five is the sixth one
Can chords be played on the flute?
Auto Insert date into Notepad
Sometimes a banana is just a banana
How to mitigate "bandwagon attacking" from players?
If a druid in Wild Shape swallows a creature whole, then turns back to her normal form, what happens?
Skis versus snow shoes - when to choose which for travelling the backcountry?
Is there a German word for “analytics”?
What can I substitute for soda pop in a sweet pork recipe?
How to properly claim credit for peer review?
What's the difference between a cart and a wagon?
It took me a lot of time to make this, pls like. (YouTube Comments #1)
Has the Isbell–Freyd criterion ever been used to check that a category is concretisable?
What is the difference between ashamed and shamed?
Is it 40% or 0.4%?
$begingroup$
A variable, which should contain percents, also contains some "ratio" values, for example:
0.61
41
54
.4
.39
20
52
0.7
12
70
82
The real distribution parameters are unknown but I guess it is unimodal with most (say over 70% of) values occurring between 50% and 80%, but it is also possible to see very low values (e.g., 0.1%).
Is there any formal or systematic approaches to determine the likely format in which each value is recorded (i.e., ratio or percent), assuming no other variables are available?
data-cleaning
asked 4 hours ago
OrionOrion
5312
$endgroup$
|
show 1 more comment
$begingroup$
A variable, which should contain percents, also contains some "ratio" values, for example:
0.61
41
54
.4
.39
20
52
0.7
12
70
82
The real distribution parameters are unknown but I guess it is unimodal with most (say over 70% of) values occurring between 50% and 80%, but it is also possible to see very low values (e.g., 0.1%).
Is there any formal or systematic approaches to determine the likely format in which each value is recorded (i.e., ratio or percent), assuming no other variables are available?
data-cleaning
asked 4 hours ago
OrionOrion
5312
$endgroup$
1
$begingroup$
I'm voting to close this question as off-topic because it is impossible to definitively answer. If you don't know what the data mean, how will strangers on the internet know?
$endgroup$
– Sycorax
4 hours ago
$begingroup$
Read it again. It is not about asking strangers on the Internet to guess the data mean.
$endgroup$
– Orion
4 hours ago
2
$begingroup$
What the data mean != what is the (data) mean.
$endgroup$
– Nick Cox
4 hours ago
$begingroup$
Oh, Ok. Correction: The question is not about asking strangers on the Internet what the data mean. Hooray.
$endgroup$
– Orion
4 hours ago
1
$begingroup$
You have 3 options: your big numbers are falsely big, and need a decimal in front; your small numbers are falsely small and need 100x multiplie; or your data is just fine. Why don't you plot the qqnorm of all three options?
$endgroup$
– EngrStudent
4 hours ago
|
show 1 more comment
$begingroup$
A variable, which should contain percents, also contains some "ratio" values, for example:
0.61
41
54
.4
.39
20
52
0.7
12
70
82
The real distribution parameters are unknown but I guess it is unimodal with most (say over 70% of) values occurring between 50% and 80%, but it is also possible to see very low values (e.g., 0.1%).
Is there any formal or systematic approaches to determine the likely format in which each value is recorded (i.e., ratio or percent), assuming no other variables are available?
data-cleaning
asked 4 hours ago
OrionOrion
5312
$endgroup$
A variable, which should contain percents, also contains some "ratio" values, for example:
0.61
41
54
.4
.39
20
52
0.7
12
70
82
The real distribution parameters are unknown but I guess it is unimodal with most (say over 70% of) values occurring between 50% and 80%, but it is also possible to see very low values (e.g., 0.1%).
Is there any formal or systematic approaches to determine the likely format in which each value is recorded (i.e., ratio or percent), assuming no other variables are available?
data-cleaning
data-cleaning
asked 4 hours ago
OrionOrion
5312
asked 4 hours ago
OrionOrion
5312
edited 4 hours ago
Orion
asked 4 hours ago
OrionOrion
5312
asked 4 hours ago
OrionOrion
5312
asked 4 hours ago
OrionOrion
5312
5312
1
$begingroup$
I'm voting to close this question as off-topic because it is impossible to definitively answer. If you don't know what the data mean, how will strangers on the internet know?
$endgroup$
– Sycorax
4 hours ago
$begingroup$
Read it again. It is not about asking strangers on the Internet to guess the data mean.
$endgroup$
– Orion
4 hours ago
2
$begingroup$
What the data mean != what is the (data) mean.
$endgroup$
– Nick Cox
4 hours ago
$begingroup$
Oh, Ok. Correction: The question is not about asking strangers on the Internet what the data mean. Hooray.
$endgroup$
– Orion
4 hours ago
1
$begingroup$
You have 3 options: your big numbers are falsely big, and need a decimal in front; your small numbers are falsely small and need 100x multiplie; or your data is just fine. Why don't you plot the qqnorm of all three options?
$endgroup$
– EngrStudent
4 hours ago
|
show 1 more comment
1
$begingroup$
I'm voting to close this question as off-topic because it is impossible to definitively answer. If you don't know what the data mean, how will strangers on the internet know?
$endgroup$
– Sycorax
4 hours ago
$begingroup$
Read it again. It is not about asking strangers on the Internet to guess the data mean.
$endgroup$
– Orion
4 hours ago
2
$begingroup$
What the data mean != what is the (data) mean.
$endgroup$
– Nick Cox
4 hours ago
$begingroup$
Oh, Ok. Correction: The question is not about asking strangers on the Internet what the data mean. Hooray.
$endgroup$
– Orion
4 hours ago
1
$begingroup$
You have 3 options: your big numbers are falsely big, and need a decimal in front; your small numbers are falsely small and need 100x multiplie; or your data is just fine. Why don't you plot the qqnorm of all three options?
$endgroup$
– EngrStudent
4 hours ago
1
1
$begingroup$
I'm voting to close this question as off-topic because it is impossible to definitively answer. If you don't know what the data mean, how will strangers on the internet know?
$endgroup$
– Sycorax
4 hours ago
$begingroup$
I'm voting to close this question as off-topic because it is impossible to definitively answer. If you don't know what the data mean, how will strangers on the internet know?
$endgroup$
– Sycorax
4 hours ago
$begingroup$
Read it again. It is not about asking strangers on the Internet to guess the data mean.
$endgroup$
– Orion
4 hours ago
$begingroup$
Read it again. It is not about asking strangers on the Internet to guess the data mean.
$endgroup$
– Orion
4 hours ago
2
2
$begingroup$
What the data mean != what is the (data) mean.
$endgroup$
– Nick Cox
4 hours ago
$begingroup$
What the data mean != what is the (data) mean.
$endgroup$
– Nick Cox
4 hours ago
$begingroup$
Oh, Ok. Correction: The question is not about asking strangers on the Internet what the data mean. Hooray.
$endgroup$
– Orion
4 hours ago
$begingroup$
Oh, Ok. Correction: The question is not about asking strangers on the Internet what the data mean. Hooray.
$endgroup$
– Orion
4 hours ago
1
1
$begingroup$
You have 3 options: your big numbers are falsely big, and need a decimal in front; your small numbers are falsely small and need 100x multiplie; or your data is just fine. Why don't you plot the qqnorm of all three options?
$endgroup$
– EngrStudent
4 hours ago
$begingroup$
You have 3 options: your big numbers are falsely big, and need a decimal in front; your small numbers are falsely small and need 100x multiplie; or your data is just fine. Why don't you plot the qqnorm of all three options?
$endgroup$
– EngrStudent
4 hours ago
|
show 1 more comment
2 Answers
2
active
oldest
votes
$begingroup$
Assuming
- The only data you have is the percents/ratios (no other related explanatory variables)
- Your percents comes from a unimodel distribution $P$ and the ratios come from the same unimodal distribution $P$, but squished by $100$ (call it $P_{100}$).
- The percent/ratios are all between $0$ and $100$.
Then there's a single cutoff point $K$ (with $K < 1.0$ obviously) where everything under $K$ is more likely to be sampled from $P_{100}$ and everything over $K$ is more likely to be sampled from $P$.
You should be able to set up a maximum likelihood function with a binary parameter on each datapoint, plus any parameters of your chosen P.
Afterwards, find $K :=$ where $P$ and $P_{100}$ intersect and you can use that to clean your data.
In practice, just split your data 0-1 and 1-100, fit and plot both histograms and fiddle around with what you think $K$ is.
answered 3 hours ago
djmadjma
63947
$endgroup$
add a comment |
$begingroup$
Here's one method of determining whether your data are percents or proportions: if there are out-of-bounds values for a proportion (e.g. 52, 70, 82, 41, 54, to name a few) then they must be percents.
Therefore, your data must be percents. You're welcome.
answered 4 hours ago
beta1_equals_beta2beta1_equals_beta2
412
$endgroup$
3
$begingroup$
The issue is that the two are mixed together. It’s not all percents or all ratios/proportions. 49 is a percentage, but 0.49 could be either.
$endgroup$
– The Laconic
4 hours ago
2
$begingroup$
If you can't assume there is a unified format for all of the rows, then the question is obviously unanswerable. In the absence of any other information, it's anyone's guess whether the 0.4 is a proportion of a percentage. I chose to answer the only possible answerable interpretation of the question.
$endgroup$
– beta1_equals_beta2
4 hours ago
add a comment |
Your Answer
StackExchange.ifUsing("editor", function () {
return StackExchange.using("mathjaxEditing", function () {
StackExchange.MarkdownEditor.creationCallbacks.add(function (editor, postfix) {
StackExchange.mathjaxEditing.prepareWmdForMathJax(editor, postfix, [["$", "$"], ["\\(","\\)"]]);
});
});
}, "mathjax-editing");
StackExchange.ready(function() {
var channelOptions = {
tags: "".split(" "),
id: "65"
};
initTagRenderer("".split(" "), "".split(" "), channelOptions);
StackExchange.using("externalEditor", function() {
// Have to fire editor after snippets, if snippets enabled
if (StackExchange.settings.snippets.snippetsEnabled) {
StackExchange.using("snippets", function() {
createEditor();
});
}
else {
createEditor();
}
});
function createEditor() {
StackExchange.prepareEditor({
heartbeatType: 'answer',
autoActivateHeartbeat: false,
convertImagesToLinks: false,
noModals: true,
showLowRepImageUploadWarning: true,
reputationToPostImages: null,
bindNavPrevention: true,
postfix: "",
imageUploader: {
brandingHtml: "Powered by u003ca class="icon-imgur-white" href="https://imgur.com/"u003eu003c/au003e",
contentPolicyHtml: "User contributions licensed under u003ca href="https://creativecommons.org/licenses/by-sa/3.0/"u003ecc by-sa 3.0 with attribution requiredu003c/au003e u003ca href="https://stackoverflow.com/legal/content-policy"u003e(content policy)u003c/au003e",
allowUrls: true
},
onDemand: true,
discardSelector: ".discard-answer"
,immediatelyShowMarkdownHelp:true
});
}
});
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function () {
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstats.stackexchange.com%2fquestions%2f395626%2fis-it-40-or-0-4%23new-answer', 'question_page');
}
);
Post as a guest
Required, but never shown
2 Answers
2
active
oldest
votes
2 Answers
2
active
oldest
votes
active
oldest
votes
active
oldest
votes
$begingroup$
Assuming
- The only data you have is the percents/ratios (no other related explanatory variables)
- Your percents comes from a unimodel distribution $P$ and the ratios come from the same unimodal distribution $P$, but squished by $100$ (call it $P_{100}$).
- The percent/ratios are all between $0$ and $100$.
Then there's a single cutoff point $K$ (with $K < 1.0$ obviously) where everything under $K$ is more likely to be sampled from $P_{100}$ and everything over $K$ is more likely to be sampled from $P$.
You should be able to set up a maximum likelihood function with a binary parameter on each datapoint, plus any parameters of your chosen P.
Afterwards, find $K :=$ where $P$ and $P_{100}$ intersect and you can use that to clean your data.
In practice, just split your data 0-1 and 1-100, fit and plot both histograms and fiddle around with what you think $K$ is.
answered 3 hours ago
djmadjma
63947
$endgroup$
add a comment |
$begingroup$
Assuming
- The only data you have is the percents/ratios (no other related explanatory variables)
- Your percents comes from a unimodel distribution $P$ and the ratios come from the same unimodal distribution $P$, but squished by $100$ (call it $P_{100}$).
- The percent/ratios are all between $0$ and $100$.
Then there's a single cutoff point $K$ (with $K < 1.0$ obviously) where everything under $K$ is more likely to be sampled from $P_{100}$ and everything over $K$ is more likely to be sampled from $P$.
You should be able to set up a maximum likelihood function with a binary parameter on each datapoint, plus any parameters of your chosen P.
Afterwards, find $K :=$ where $P$ and $P_{100}$ intersect and you can use that to clean your data.
In practice, just split your data 0-1 and 1-100, fit and plot both histograms and fiddle around with what you think $K$ is.
answered 3 hours ago
djmadjma
63947
$endgroup$
add a comment |
$begingroup$
Assuming
- The only data you have is the percents/ratios (no other related explanatory variables)
- Your percents comes from a unimodel distribution $P$ and the ratios come from the same unimodal distribution $P$, but squished by $100$ (call it $P_{100}$).
- The percent/ratios are all between $0$ and $100$.
Then there's a single cutoff point $K$ (with $K < 1.0$ obviously) where everything under $K$ is more likely to be sampled from $P_{100}$ and everything over $K$ is more likely to be sampled from $P$.
You should be able to set up a maximum likelihood function with a binary parameter on each datapoint, plus any parameters of your chosen P.
Afterwards, find $K :=$ where $P$ and $P_{100}$ intersect and you can use that to clean your data.
In practice, just split your data 0-1 and 1-100, fit and plot both histograms and fiddle around with what you think $K$ is.
answered 3 hours ago
djmadjma
63947
$endgroup$
Assuming
- The only data you have is the percents/ratios (no other related explanatory variables)
- Your percents comes from a unimodel distribution $P$ and the ratios come from the same unimodal distribution $P$, but squished by $100$ (call it $P_{100}$).
- The percent/ratios are all between $0$ and $100$.
Then there's a single cutoff point $K$ (with $K < 1.0$ obviously) where everything under $K$ is more likely to be sampled from $P_{100}$ and everything over $K$ is more likely to be sampled from $P$.
You should be able to set up a maximum likelihood function with a binary parameter on each datapoint, plus any parameters of your chosen P.
Afterwards, find $K :=$ where $P$ and $P_{100}$ intersect and you can use that to clean your data.
In practice, just split your data 0-1 and 1-100, fit and plot both histograms and fiddle around with what you think $K$ is.
answered 3 hours ago
djmadjma
63947
answered 3 hours ago
djmadjma
63947
answered 3 hours ago
djmadjma
63947
answered 3 hours ago
djmadjma
63947
63947
add a comment |
add a comment |
$begingroup$
Here's one method of determining whether your data are percents or proportions: if there are out-of-bounds values for a proportion (e.g. 52, 70, 82, 41, 54, to name a few) then they must be percents.
Therefore, your data must be percents. You're welcome.
answered 4 hours ago
beta1_equals_beta2beta1_equals_beta2
412
$endgroup$
3
$begingroup$
The issue is that the two are mixed together. It’s not all percents or all ratios/proportions. 49 is a percentage, but 0.49 could be either.
$endgroup$
– The Laconic
4 hours ago
2
$begingroup$
If you can't assume there is a unified format for all of the rows, then the question is obviously unanswerable. In the absence of any other information, it's anyone's guess whether the 0.4 is a proportion of a percentage. I chose to answer the only possible answerable interpretation of the question.
$endgroup$
– beta1_equals_beta2
4 hours ago
add a comment |
$begingroup$
Here's one method of determining whether your data are percents or proportions: if there are out-of-bounds values for a proportion (e.g. 52, 70, 82, 41, 54, to name a few) then they must be percents.
Therefore, your data must be percents. You're welcome.
answered 4 hours ago
beta1_equals_beta2beta1_equals_beta2
412
$endgroup$
3
$begingroup$
The issue is that the two are mixed together. It’s not all percents or all ratios/proportions. 49 is a percentage, but 0.49 could be either.
$endgroup$
– The Laconic
4 hours ago
2
$begingroup$
If you can't assume there is a unified format for all of the rows, then the question is obviously unanswerable. In the absence of any other information, it's anyone's guess whether the 0.4 is a proportion of a percentage. I chose to answer the only possible answerable interpretation of the question.
$endgroup$
– beta1_equals_beta2
4 hours ago
add a comment |
$begingroup$
Here's one method of determining whether your data are percents or proportions: if there are out-of-bounds values for a proportion (e.g. 52, 70, 82, 41, 54, to name a few) then they must be percents.
Therefore, your data must be percents. You're welcome.
answered 4 hours ago
beta1_equals_beta2beta1_equals_beta2
412
$endgroup$
Here's one method of determining whether your data are percents or proportions: if there are out-of-bounds values for a proportion (e.g. 52, 70, 82, 41, 54, to name a few) then they must be percents.
Therefore, your data must be percents. You're welcome.
answered 4 hours ago
beta1_equals_beta2beta1_equals_beta2
412
answered 4 hours ago
beta1_equals_beta2beta1_equals_beta2
412
answered 4 hours ago
beta1_equals_beta2beta1_equals_beta2
412
answered 4 hours ago
beta1_equals_beta2beta1_equals_beta2
412
412
3
$begingroup$
The issue is that the two are mixed together. It’s not all percents or all ratios/proportions. 49 is a percentage, but 0.49 could be either.
$endgroup$
– The Laconic
4 hours ago
2
$begingroup$
If you can't assume there is a unified format for all of the rows, then the question is obviously unanswerable. In the absence of any other information, it's anyone's guess whether the 0.4 is a proportion of a percentage. I chose to answer the only possible answerable interpretation of the question.
$endgroup$
– beta1_equals_beta2
4 hours ago
add a comment |
3
$begingroup$
The issue is that the two are mixed together. It’s not all percents or all ratios/proportions. 49 is a percentage, but 0.49 could be either.
$endgroup$
– The Laconic
4 hours ago
2
$begingroup$
If you can't assume there is a unified format for all of the rows, then the question is obviously unanswerable. In the absence of any other information, it's anyone's guess whether the 0.4 is a proportion of a percentage. I chose to answer the only possible answerable interpretation of the question.
$endgroup$
– beta1_equals_beta2
4 hours ago
3
3
$begingroup$
The issue is that the two are mixed together. It’s not all percents or all ratios/proportions. 49 is a percentage, but 0.49 could be either.
$endgroup$
– The Laconic
4 hours ago
$begingroup$
The issue is that the two are mixed together. It’s not all percents or all ratios/proportions. 49 is a percentage, but 0.49 could be either.
$endgroup$
– The Laconic
4 hours ago
2
2
$begingroup$
If you can't assume there is a unified format for all of the rows, then the question is obviously unanswerable. In the absence of any other information, it's anyone's guess whether the 0.4 is a proportion of a percentage. I chose to answer the only possible answerable interpretation of the question.
$endgroup$
– beta1_equals_beta2
4 hours ago
$begingroup$
If you can't assume there is a unified format for all of the rows, then the question is obviously unanswerable. In the absence of any other information, it's anyone's guess whether the 0.4 is a proportion of a percentage. I chose to answer the only possible answerable interpretation of the question.
$endgroup$
– beta1_equals_beta2
4 hours ago
add a comment |
Thanks for contributing an answer to Cross Validated!
- Please be sure to answer the question. Provide details and share your research!
But avoid …
- Asking for help, clarification, or responding to other answers.
- Making statements based on opinion; back them up with references or personal experience.
Use MathJax to format equations. MathJax reference.
To learn more, see our tips on writing great answers.
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function () {
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstats.stackexchange.com%2fquestions%2f395626%2fis-it-40-or-0-4%23new-answer', 'question_page');
}
);
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
1
$begingroup$
I'm voting to close this question as off-topic because it is impossible to definitively answer. If you don't know what the data mean, how will strangers on the internet know?
$endgroup$
– Sycorax
4 hours ago
$begingroup$
Read it again. It is not about asking strangers on the Internet to guess the data mean.
$endgroup$
– Orion
4 hours ago
2
$begingroup$
What the data mean != what is the (data) mean.
$endgroup$
– Nick Cox
4 hours ago
$begingroup$
Oh, Ok. Correction: The question is not about asking strangers on the Internet what the data mean. Hooray.
$endgroup$
– Orion
4 hours ago
1
$begingroup$
You have 3 options: your big numbers are falsely big, and need a decimal in front; your small numbers are falsely small and need 100x multiplie; or your data is just fine. Why don't you plot the qqnorm of all three options?
$endgroup$
– EngrStudent
4 hours ago