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understanding the shape of the distribution of a random variable
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what plots can I draw to understand the shape of the distribution of a random variable?
I do know that histograms can be plotted to do the above. but can box plot and violin plot be plotted as well to help me understand the shape of the distribution?
descriptive-statistics
asked 1 hour ago
Mechen
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up vote
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down vote
favorite
what plots can I draw to understand the shape of the distribution of a random variable?
I do know that histograms can be plotted to do the above. but can box plot and violin plot be plotted as well to help me understand the shape of the distribution?
descriptive-statistics
asked 1 hour ago
Mechen
111
New contributor
Mechen is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
It seems you have a sample from a distribution. The two answers you have already are good for studying the sample If you know the 'family' of the population distribution, and a reasonably large sample, you could get useful estimates of the population parameters and perhaps come close to reconstructing the population distribution. For example, if you know the population distribution is normal, then estimating its $mu$ and $sigma.$ With a large sample and no information about the family, density estimation may be best. ...
– BruceET
10 mins ago
... Perhaps this Q & A. will be helpful. Also, you can look at some of the links in the right margin of this page, under 'Related'. // If none of that helps, please edit your Question to say more about what information you have, and more about your objective.
– BruceET
5 mins ago
add a comment |Â
up vote
1
down vote
favorite
up vote
1
down vote
favorite
what plots can I draw to understand the shape of the distribution of a random variable?
I do know that histograms can be plotted to do the above. but can box plot and violin plot be plotted as well to help me understand the shape of the distribution?
descriptive-statistics
asked 1 hour ago
Mechen
111
New contributor
Mechen is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
what plots can I draw to understand the shape of the distribution of a random variable?
I do know that histograms can be plotted to do the above. but can box plot and violin plot be plotted as well to help me understand the shape of the distribution?
descriptive-statistics
descriptive-statistics
asked 1 hour ago
Mechen
111
New contributor
Mechen is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 1 hour ago
Mechen
111
New contributor
Mechen is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 1 hour ago
Mechen
111
New contributor
Mechen is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 1 hour ago
Mechen
111
asked 1 hour ago
Mechen
111
111
New contributor
Mechen is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
Mechen is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
Mechen is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
It seems you have a sample from a distribution. The two answers you have already are good for studying the sample If you know the 'family' of the population distribution, and a reasonably large sample, you could get useful estimates of the population parameters and perhaps come close to reconstructing the population distribution. For example, if you know the population distribution is normal, then estimating its $mu$ and $sigma.$ With a large sample and no information about the family, density estimation may be best. ...
– BruceET
10 mins ago
... Perhaps this Q & A. will be helpful. Also, you can look at some of the links in the right margin of this page, under 'Related'. // If none of that helps, please edit your Question to say more about what information you have, and more about your objective.
– BruceET
5 mins ago
add a comment |Â
It seems you have a sample from a distribution. The two answers you have already are good for studying the sample If you know the 'family' of the population distribution, and a reasonably large sample, you could get useful estimates of the population parameters and perhaps come close to reconstructing the population distribution. For example, if you know the population distribution is normal, then estimating its $mu$ and $sigma.$ With a large sample and no information about the family, density estimation may be best. ...
– BruceET
10 mins ago
... Perhaps this Q & A. will be helpful. Also, you can look at some of the links in the right margin of this page, under 'Related'. // If none of that helps, please edit your Question to say more about what information you have, and more about your objective.
– BruceET
5 mins ago
It seems you have a sample from a distribution. The two answers you have already are good for studying the sample If you know the 'family' of the population distribution, and a reasonably large sample, you could get useful estimates of the population parameters and perhaps come close to reconstructing the population distribution. For example, if you know the population distribution is normal, then estimating its $mu$ and $sigma.$ With a large sample and no information about the family, density estimation may be best. ...
– BruceET
10 mins ago
It seems you have a sample from a distribution. The two answers you have already are good for studying the sample If you know the 'family' of the population distribution, and a reasonably large sample, you could get useful estimates of the population parameters and perhaps come close to reconstructing the population distribution. For example, if you know the population distribution is normal, then estimating its $mu$ and $sigma.$ With a large sample and no information about the family, density estimation may be best. ...
– BruceET
10 mins ago
... Perhaps this Q & A. will be helpful. Also, you can look at some of the links in the right margin of this page, under 'Related'. // If none of that helps, please edit your Question to say more about what information you have, and more about your objective.
– BruceET
5 mins ago
... Perhaps this Q & A. will be helpful. Also, you can look at some of the links in the right margin of this page, under 'Related'. // If none of that helps, please edit your Question to say more about what information you have, and more about your objective.
– BruceET
5 mins ago
add a comment |Â
2 Answers
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1
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The goal of any kind of plotting is to check how the data is distributed with respect to the parameter that we are looking for. For example the plot for Time Series Data will be different as compared to the plot for checking the frequency of different data points in a dataset.
So taking into consideration Box plots, lets look at what they represent.
So looking at it from the point of view of understanding distributions, we can see that the graph would be peaking around the Right. So its a RIGHT SKEWED Distribution.
Similarly, Violin plot would look like:
Here we can see the median is given in the plot, which is one of the measures for checking if a distribution is skewed or not.
So coming to your question, if you know what you are looking for, Boxplots and Violin Plots are a great alternative to check if your data is skewed or not.
Image 1 : https://chartio.com/resources/tutorials/what-is-a-box-plot/
Image 2 : https://datavizcatalogue.com/methods/violin_plot.html
answered 1 hour ago
Pushkaraj Joshi
112
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Pushkaraj Joshi is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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up vote
1
down vote
Yes, above mentioned plots are helpful. Another famous way is through Kernel Density Estimation. In which Kernel and Bandwidths are involved. For more detail check
https://en.wikipedia.org/wiki/Kernel_density_estimation.
Different packages are available in R, which can be directly used for this purpose, like, KernSmooth, ks,np and etc.
answered 31 mins ago
Angel
6310
add a comment |Â
2 Answers
2
active
oldest
votes
2 Answers
2
active
oldest
votes
active
oldest
votes
active
oldest
votes
up vote
1
down vote
The goal of any kind of plotting is to check how the data is distributed with respect to the parameter that we are looking for. For example the plot for Time Series Data will be different as compared to the plot for checking the frequency of different data points in a dataset.
So taking into consideration Box plots, lets look at what they represent.
So looking at it from the point of view of understanding distributions, we can see that the graph would be peaking around the Right. So its a RIGHT SKEWED Distribution.
Similarly, Violin plot would look like:
Here we can see the median is given in the plot, which is one of the measures for checking if a distribution is skewed or not.
So coming to your question, if you know what you are looking for, Boxplots and Violin Plots are a great alternative to check if your data is skewed or not.
Image 1 : https://chartio.com/resources/tutorials/what-is-a-box-plot/
Image 2 : https://datavizcatalogue.com/methods/violin_plot.html
answered 1 hour ago
Pushkaraj Joshi
112
New contributor
Pushkaraj Joshi is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
add a comment |Â
up vote
1
down vote
The goal of any kind of plotting is to check how the data is distributed with respect to the parameter that we are looking for. For example the plot for Time Series Data will be different as compared to the plot for checking the frequency of different data points in a dataset.
So taking into consideration Box plots, lets look at what they represent.
So looking at it from the point of view of understanding distributions, we can see that the graph would be peaking around the Right. So its a RIGHT SKEWED Distribution.
Similarly, Violin plot would look like:
Here we can see the median is given in the plot, which is one of the measures for checking if a distribution is skewed or not.
So coming to your question, if you know what you are looking for, Boxplots and Violin Plots are a great alternative to check if your data is skewed or not.
Image 1 : https://chartio.com/resources/tutorials/what-is-a-box-plot/
Image 2 : https://datavizcatalogue.com/methods/violin_plot.html
answered 1 hour ago
Pushkaraj Joshi
112
New contributor
Pushkaraj Joshi is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
add a comment |Â
up vote
1
down vote
up vote
1
down vote
The goal of any kind of plotting is to check how the data is distributed with respect to the parameter that we are looking for. For example the plot for Time Series Data will be different as compared to the plot for checking the frequency of different data points in a dataset.
So taking into consideration Box plots, lets look at what they represent.
So looking at it from the point of view of understanding distributions, we can see that the graph would be peaking around the Right. So its a RIGHT SKEWED Distribution.
Similarly, Violin plot would look like:
Here we can see the median is given in the plot, which is one of the measures for checking if a distribution is skewed or not.
So coming to your question, if you know what you are looking for, Boxplots and Violin Plots are a great alternative to check if your data is skewed or not.
Image 1 : https://chartio.com/resources/tutorials/what-is-a-box-plot/
Image 2 : https://datavizcatalogue.com/methods/violin_plot.html
answered 1 hour ago
Pushkaraj Joshi
112
New contributor
Pushkaraj Joshi is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
The goal of any kind of plotting is to check how the data is distributed with respect to the parameter that we are looking for. For example the plot for Time Series Data will be different as compared to the plot for checking the frequency of different data points in a dataset.
So taking into consideration Box plots, lets look at what they represent.
So looking at it from the point of view of understanding distributions, we can see that the graph would be peaking around the Right. So its a RIGHT SKEWED Distribution.
Similarly, Violin plot would look like:
Here we can see the median is given in the plot, which is one of the measures for checking if a distribution is skewed or not.
So coming to your question, if you know what you are looking for, Boxplots and Violin Plots are a great alternative to check if your data is skewed or not.
Image 1 : https://chartio.com/resources/tutorials/what-is-a-box-plot/
Image 2 : https://datavizcatalogue.com/methods/violin_plot.html
answered 1 hour ago
Pushkaraj Joshi
112
New contributor
Pushkaraj Joshi is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
answered 1 hour ago
Pushkaraj Joshi
112
New contributor
Pushkaraj Joshi is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
answered 1 hour ago
Pushkaraj Joshi
112
answered 1 hour ago
Pushkaraj Joshi
112
112
New contributor
Pushkaraj Joshi is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
Pushkaraj Joshi is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
Pushkaraj Joshi is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
add a comment |Â
add a comment |Â
up vote
1
down vote
Yes, above mentioned plots are helpful. Another famous way is through Kernel Density Estimation. In which Kernel and Bandwidths are involved. For more detail check
https://en.wikipedia.org/wiki/Kernel_density_estimation.
Different packages are available in R, which can be directly used for this purpose, like, KernSmooth, ks,np and etc.
answered 31 mins ago
Angel
6310
add a comment |Â
up vote
1
down vote
Yes, above mentioned plots are helpful. Another famous way is through Kernel Density Estimation. In which Kernel and Bandwidths are involved. For more detail check
https://en.wikipedia.org/wiki/Kernel_density_estimation.
Different packages are available in R, which can be directly used for this purpose, like, KernSmooth, ks,np and etc.
answered 31 mins ago
Angel
6310
add a comment |Â
up vote
1
down vote
up vote
1
down vote
Yes, above mentioned plots are helpful. Another famous way is through Kernel Density Estimation. In which Kernel and Bandwidths are involved. For more detail check
https://en.wikipedia.org/wiki/Kernel_density_estimation.
Different packages are available in R, which can be directly used for this purpose, like, KernSmooth, ks,np and etc.
answered 31 mins ago
Angel
6310
Yes, above mentioned plots are helpful. Another famous way is through Kernel Density Estimation. In which Kernel and Bandwidths are involved. For more detail check
https://en.wikipedia.org/wiki/Kernel_density_estimation.
Different packages are available in R, which can be directly used for this purpose, like, KernSmooth, ks,np and etc.
answered 31 mins ago
Angel
6310
answered 31 mins ago
Angel
6310
answered 31 mins ago
Angel
6310
answered 31 mins ago
Angel
6310
6310
add a comment |Â
add a comment |Â
Mechen is a new contributor. Be nice, and check out our Code of Conduct.
Mechen is a new contributor. Be nice, and check out our Code of Conduct.
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It seems you have a sample from a distribution. The two answers you have already are good for studying the sample If you know the 'family' of the population distribution, and a reasonably large sample, you could get useful estimates of the population parameters and perhaps come close to reconstructing the population distribution. For example, if you know the population distribution is normal, then estimating its $mu$ and $sigma.$ With a large sample and no information about the family, density estimation may be best. ...
– BruceET
10 mins ago
... Perhaps this Q & A. will be helpful. Also, you can look at some of the links in the right margin of this page, under 'Related'. // If none of that helps, please edit your Question to say more about what information you have, and more about your objective.
– BruceET
5 mins ago