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Selasa, 23 Juni 2015

Looking at Medical School Admissions

Most of the things I look at have to do with publicly available data sets, and that often means undergraduate admissions.  But while doing some investigation, I came across data from the American Association of Medical Colleges.  There's some interesting stuff there, and while it's formatted in a way that makes it really difficult to get to, it's worth a little work.  (I'm not convinced that the formatting isn't an attempt to keep less stubborn people from digging too deep on this; my request to get the data in a better format was ignored.)

Best thing I learned: In 2014, of the 49,480 applicants to medical school, 41.1%, or 20,343, enrolled. That's a far higher percentage than I would have thought, although it is lower than the 2003 rate of 47.5% (34,791 and 16,541, respectively.)  It's clear, of course, that most medical school applicants are very well qualified, so that number represents the best of the best, but the perception of medical school selectivity is driven by the rates at each individual institution (sometimes 5% or less); in fact, each student applies, on average, to about 15 medical colleges, which skew the numbers.  These numbers are just for M.D. admissions, not D.O. or other medical professions.

This visualization has seven views, and starts with an intro.  You can get to the other six by clicking the tabs across the top:


  • A scatter, showing each medical college, colored by region, on two scales: Total applications and the number of applications per seat
  • Historical data for MCAT and GPA performance for applicants and matriculants over time
  • Applications, by ethnicity.  These are in a heat map format; the orange squares represent the highest vales on that individual grid
  • Admit rates, by ethnicity.  This represents (I'm 99% sure) the chance that a student in the category show, represented by the intersection of column and row, was admitted to at least one of the schools she applied to
  • Applications per seat in the entering class, broken out by male, female, and in-state status
  • Matriculant diversity, shown as male/female and in-state/out-of-state
By the way, if you need some understanding of MCAT scores, you can see them by clicking here.

If you're like me, you have a lot of questions that are not answered by the data AAMC provides.  But it's still a good start.  What do you notice here?





Juni 2015 - Hallo sahabat The secret, Pada Artikel yang anda baca kali ini dengan judul Juni 2015, kami telah mempersiapkan artikel ini dengan baik untuk anda baca dan ambil informasi didalamnya. mudah-mudahan isi postingan yang kami tulis ini dapat anda pahami. baiklah, selamat membaca.

Judul : Looking at Medical School Admissions
link : Looking at Medical School Admissions

Baca juga


Juni 2015

Most of the things I look at have to do with publicly available data sets, and that often means undergraduate admissions.  But while doing some investigation, I came across data from the American Association of Medical Colleges.  There's some interesting stuff there, and while it's formatted in a way that makes it really difficult to get to, it's worth a little work.  (I'm not convinced that the formatting isn't an attempt to keep less stubborn people from digging too deep on this; my request to get the data in a better format was ignored.)

Best thing I learned: In 2014, of the 49,480 applicants to medical school, 41.1%, or 20,343, enrolled. That's a far higher percentage than I would have thought, although it is lower than the 2003 rate of 47.5% (34,791 and 16,541, respectively.)  It's clear, of course, that most medical school applicants are very well qualified, so that number represents the best of the best, but the perception of medical school selectivity is driven by the rates at each individual institution (sometimes 5% or less); in fact, each student applies, on average, to about 15 medical colleges, which skew the numbers.  These numbers are just for M.D. admissions, not D.O. or other medical professions.

This visualization has seven views, and starts with an intro.  You can get to the other six by clicking the tabs across the top:


  • A scatter, showing each medical college, colored by region, on two scales: Total applications and the number of applications per seat
  • Historical data for MCAT and GPA performance for applicants and matriculants over time
  • Applications, by ethnicity.  These are in a heat map format; the orange squares represent the highest vales on that individual grid
  • Admit rates, by ethnicity.  This represents (I'm 99% sure) the chance that a student in the category show, represented by the intersection of column and row, was admitted to at least one of the schools she applied to
  • Applications per seat in the entering class, broken out by male, female, and in-state status
  • Matriculant diversity, shown as male/female and in-state/out-of-state
By the way, if you need some understanding of MCAT scores, you can see them by clicking here.

If you're like me, you have a lot of questions that are not answered by the data AAMC provides.  But it's still a good start.  What do you notice here?





Senin, 08 Juni 2015

Diversity of Institutions, by Type

A few posts ago, I wrote about where students of certain ethnicities went to college.  In other words, if you looked at all the Hispanic students in the US, we'd want to see where they go to college, and compare that to Asian students, or students of two or more races.  I asked whether a student's ethnicity determined where they go to college.

This is the same data, but it examines it at the other end: The colleges, and how diverse they are.  In other words, does your location, control, and size, and Carnegie Type, for instance, determine how diverse you are, or limit how diverse you can become?

Again, the answer is no, but you can find some interesting trends.

If you're timid about using Tableau and interacting with it, here's your chance.


  • First, choose an Ethnicity in the top left corner.  For instance, assume you want to display the percentage of enrollment that is Asian.
  • Then, choose what value you want to display along the y-axis (the left side, from top to bottom)
  • Choose how to display the x-axis using two controls.  If you want just one dimension along the x-axis, make it the same variable for both x-axis controls.
Using the default values, look at the top right box.  This means that at the two private-for-profit Doctoral/Research Institutions in the Western States, the undergraduate enrollment is 81.6% non-white.  Hover over the box for details.


Now, click on that box, and the bar charts at the bottom update to show you those three schools, and the percentage of the student body of the ethnicity indicated.


As always, if you get stuck, just use the undo or reset buttons at the lower left:


There is a LOT to play with here.  What do you notice?





Juni 2015 - Hallo sahabat The secret, Pada Artikel yang anda baca kali ini dengan judul Juni 2015, kami telah mempersiapkan artikel ini dengan baik untuk anda baca dan ambil informasi didalamnya. mudah-mudahan isi postingan yang kami tulis ini dapat anda pahami. baiklah, selamat membaca.

Judul : Diversity of Institutions, by Type
link : Diversity of Institutions, by Type

Baca juga


Juni 2015

A few posts ago, I wrote about where students of certain ethnicities went to college.  In other words, if you looked at all the Hispanic students in the US, we'd want to see where they go to college, and compare that to Asian students, or students of two or more races.  I asked whether a student's ethnicity determined where they go to college.

This is the same data, but it examines it at the other end: The colleges, and how diverse they are.  In other words, does your location, control, and size, and Carnegie Type, for instance, determine how diverse you are, or limit how diverse you can become?

Again, the answer is no, but you can find some interesting trends.

If you're timid about using Tableau and interacting with it, here's your chance.


  • First, choose an Ethnicity in the top left corner.  For instance, assume you want to display the percentage of enrollment that is Asian.
  • Then, choose what value you want to display along the y-axis (the left side, from top to bottom)
  • Choose how to display the x-axis using two controls.  If you want just one dimension along the x-axis, make it the same variable for both x-axis controls.
Using the default values, look at the top right box.  This means that at the two private-for-profit Doctoral/Research Institutions in the Western States, the undergraduate enrollment is 81.6% non-white.  Hover over the box for details.


Now, click on that box, and the bar charts at the bottom update to show you those three schools, and the percentage of the student body of the ethnicity indicated.


As always, if you get stuck, just use the undo or reset buttons at the lower left:


There is a LOT to play with here.  What do you notice?





Selasa, 02 Juni 2015

Top 10 Songs To Listen This Month of June 2015

                    
Top 10 songs list playlist month of june 2015 week songs hot billboard 100 popular songs charlie puth becky g spotify galantis avicii tiesto justin bieber bebe rexha otto knows lean on alessia cara
1. I Don't Wanna Grow Up - Bebe Rexha
Best Lyrics: "If love is a lieThen please don't ever tell me the truth
Cause nothin', nothin' makes me feel like you do
Even though I see through you"

2. Waiting For Love - Avicii
Best Lyrics: "Monday left me brokenTuesday I was through with hoping
Wednesday my empty arms were open
Thursday waiting for love, waiting for love
Thank the stars it's Friday
I'm burning like a fire gone wild on Saturday
Guess I won't be coming to church on Sunday
I'll be waiting for love, waiting for love"

3. Here - Alessia Cara
Best Lyrics: "Excuse me if I seem a little unimpressed with thisAn anti-social pessimist but usually I don't mess with this
And I know you mean only the best and
Your intentions aren't to bother me
But honestly I'd rather be
Somewhere with my people we can kick it and just listen
To some music with the message (like we usually do)
And we'll discuss our big dreams
How we plan to take over the planet
So pardon my manners, I hope you'll understand
That I'll be here
Not there in the kitchen with the girl
Who's always gossiping about her friends
So tell them I'll be here
Right next to the boy who's throwing up cause
He can't take what's in his cup no more
Oh God why am I here?"

4. Lovin' So Hard - Becky G
Best Lyrics: "When I wake upYou're the first thing that comes to mind
Wanna see you like all the time
Yeah we be lovin' so hard"

5. Next To Me - Otto Knows
Best Lyrics: "Now those were the days before you had to go awayNow I'm dancing by myself out in the rain
Now it's getting rather cold, and I just wanted you to know
That if my dreams will ever be, will you come dancing next to me"

6. The Night Is Still Young - Nicki Minaj
Best Lyrics: "I never worry, life is a journeyI just wanna enjoy the ride
What is the hurry? It's pretty early
It's ok, we'll take our time
The night is still young"

7. Lean On- Major Lazer featuring MO, DJ Snake
Best Lyrics: "Do you recall, not long agoWe would walk on the sidewalk
Innocent, remember?
All we did was care for each other
But the night was warm
We were bold and young
All around the wind blows
We would only hold on to let go"

8. Marvin Gaye - Charlie Puth feat. Meghan Trainor
Best Lyrics: "We got this king size to ourselvesDon't have to share with no one else
Don't keep your secrets to yourself
It's kama sutra show and tell"

9. Stole The Show - Kygo feat. Parson James
Best Lyrics: "We used to have it all, but now's our curtain callSo hold for the applause, oh
And wave out to the crowd, and take our final bow
Oh, it's our time to go, but at least we stole the show
At least we stole the show"

10. Peanut Butter Jelly - Galantis
Best Lyrics: "Sleepless nights at the châteauVisualize it
I'll give you something to do

Kush kush wherever we go
Visualize it
I'll give you something to do

To get a wildfire burning
Visualize it
I'll give you something to do

Ace high, I'm going all in
Visualize it
I'll give you something to do

Spread it like peanut butter jelly
Do it like I owe you some money [x2]
Money, money, money…"

Juni 2015 - Hallo sahabat The secret, Pada Artikel yang anda baca kali ini dengan judul Juni 2015, kami telah mempersiapkan artikel ini dengan baik untuk anda baca dan ambil informasi didalamnya. mudah-mudahan isi postingan Artikel avicii, Artikel bebe rexha, Artikel hot billoard songs June 2015, Artikel nicki minaj, Artikel Playlist June 2015, Artikel popular song june 2015, Artikel the night is still young, Artikel top 10 songs for the month of June 2015, yang kami tulis ini dapat anda pahami. baiklah, selamat membaca.

Judul : Top 10 Songs To Listen This Month of June 2015
link : Top 10 Songs To Listen This Month of June 2015

Baca juga


Juni 2015

                    
Top 10 songs list playlist month of june 2015 week songs hot billboard 100 popular songs charlie puth becky g spotify galantis avicii tiesto justin bieber bebe rexha otto knows lean on alessia cara
1. I Don't Wanna Grow Up - Bebe Rexha
Best Lyrics: "If love is a lieThen please don't ever tell me the truth
Cause nothin', nothin' makes me feel like you do
Even though I see through you"

2. Waiting For Love - Avicii
Best Lyrics: "Monday left me brokenTuesday I was through with hoping
Wednesday my empty arms were open
Thursday waiting for love, waiting for love
Thank the stars it's Friday
I'm burning like a fire gone wild on Saturday
Guess I won't be coming to church on Sunday
I'll be waiting for love, waiting for love"

3. Here - Alessia Cara
Best Lyrics: "Excuse me if I seem a little unimpressed with thisAn anti-social pessimist but usually I don't mess with this
And I know you mean only the best and
Your intentions aren't to bother me
But honestly I'd rather be
Somewhere with my people we can kick it and just listen
To some music with the message (like we usually do)
And we'll discuss our big dreams
How we plan to take over the planet
So pardon my manners, I hope you'll understand
That I'll be here
Not there in the kitchen with the girl
Who's always gossiping about her friends
So tell them I'll be here
Right next to the boy who's throwing up cause
He can't take what's in his cup no more
Oh God why am I here?"

4. Lovin' So Hard - Becky G
Best Lyrics: "When I wake upYou're the first thing that comes to mind
Wanna see you like all the time
Yeah we be lovin' so hard"

5. Next To Me - Otto Knows
Best Lyrics: "Now those were the days before you had to go awayNow I'm dancing by myself out in the rain
Now it's getting rather cold, and I just wanted you to know
That if my dreams will ever be, will you come dancing next to me"

6. The Night Is Still Young - Nicki Minaj
Best Lyrics: "I never worry, life is a journeyI just wanna enjoy the ride
What is the hurry? It's pretty early
It's ok, we'll take our time
The night is still young"

7. Lean On- Major Lazer featuring MO, DJ Snake
Best Lyrics: "Do you recall, not long agoWe would walk on the sidewalk
Innocent, remember?
All we did was care for each other
But the night was warm
We were bold and young
All around the wind blows
We would only hold on to let go"

8. Marvin Gaye - Charlie Puth feat. Meghan Trainor
Best Lyrics: "We got this king size to ourselvesDon't have to share with no one else
Don't keep your secrets to yourself
It's kama sutra show and tell"

9. Stole The Show - Kygo feat. Parson James
Best Lyrics: "We used to have it all, but now's our curtain callSo hold for the applause, oh
And wave out to the crowd, and take our final bow
Oh, it's our time to go, but at least we stole the show
At least we stole the show"

10. Peanut Butter Jelly - Galantis
Best Lyrics: "Sleepless nights at the châteauVisualize it
I'll give you something to do

Kush kush wherever we go
Visualize it
I'll give you something to do

To get a wildfire burning
Visualize it
I'll give you something to do

Ace high, I'm going all in
Visualize it
I'll give you something to do

Spread it like peanut butter jelly
Do it like I owe you some money [x2]
Money, money, money…"

Senin, 01 Juni 2015

Enrollment at Women's Colleges, 2005 to 2013

Note: I got an email from Dean Kilgore at Mount Saint Mary's in California, who indicated I'd downloaded data for the wrong Mount Saint Mary College:In this case, the one in New York. I had to create the list manually, and it was just a slip on my part.

Sorry about that. I've removed them from the analysis, but unfortunately, can't add the correct one at this time without a considerable amount of work.



Sweet Briar College in Virginia recently announced, to the shock of many in higher education, that it would be closing at the end of this spring, 2015 term.  As often happens when a college decides to close, those who are or were close to it rally the troops and wage a fierce campaign to try to keep it open.  Sometimes it works, other times, it doesn't.

The scene playing out is not unusual: Allegations of secret deals, incompetence, blindness to all that is and was good at Sweet Briar. This is what happens when you decide to close a college.  And although I'm not taking sides, I did write before that the closing does seem to be curious in light of what little publicly available financial data there is: If you had to pick a college from this list that was going to close, it probably wouldn't be Sweet Briar.  Even the federal rankings of financial responsibility gave Sweet Briar a 3, a score higher than Harvard, which may only point out how absurd those ratings are in the first place.

A while ago, I downloaded a pretty extensive data set, using the members of the Women's College Coalition as my base.  Not all colleges have data available in IPEDS, however, so I did the best I could (for instance, the Women's College at Rutgers is not in IPEDS as a separate institution, or if it is, I couldn't find it.  And I took out Saint Mary of the Woods, as they just announced they're going co-ed).  Also, since there is no IPEDS data field that tells you when a college is a women's college, I couldn't go back and find out how many were labeled as such 20 years ago.  That might have been interesting.

Overall, though, the data were pretty uninteresting.  So I gave up on visualizing it.  There were trends, of course, but nothing dramatic.

So, when I saw this article, by one of the people leading the charge on the Save Sweet Briar campaign, one sentence jumped out at me:

Enrollment: There is no evidence that enrollment is declining, either at Sweet Briar or at women’s or liberal arts colleges. This claim is simply false. Numbers people, please check for yourself: The data are publicly available.

The data are available, and the link goes to the IPEDS site I use all the time.  So, take a look here. There are five views of the data, using the tabs across the top.  The first shows changes in freshman, total, undergraduate, and graduate enrollment over time.  The changes on the right are shown in relation to the prior year.  The second shows the same data, but the change is cumulative since 2005: As you can see, total undergraduate enrollment is down almost 6% during a time enrollment increased nationally.  The third shows admissions activity; the fourth breaks it out, showing Sweet Briar and all the other women's colleges in aggregate.  And the fifth shows total undergraduate enrollment in 2005 and 2013 (on the left) and change (on the right.)  As you can see, there are some big winners, big losers and a lot of small changes.

Decide for yourself.  And tell me what you see:





Juni 2015 - Hallo sahabat The secret, Pada Artikel yang anda baca kali ini dengan judul Juni 2015, kami telah mempersiapkan artikel ini dengan baik untuk anda baca dan ambil informasi didalamnya. mudah-mudahan isi postingan yang kami tulis ini dapat anda pahami. baiklah, selamat membaca.

Judul : Enrollment at Women's Colleges, 2005 to 2013
link : Enrollment at Women's Colleges, 2005 to 2013

Baca juga


Juni 2015

Note: I got an email from Dean Kilgore at Mount Saint Mary's in California, who indicated I'd downloaded data for the wrong Mount Saint Mary College:In this case, the one in New York. I had to create the list manually, and it was just a slip on my part.

Sorry about that. I've removed them from the analysis, but unfortunately, can't add the correct one at this time without a considerable amount of work.



Sweet Briar College in Virginia recently announced, to the shock of many in higher education, that it would be closing at the end of this spring, 2015 term.  As often happens when a college decides to close, those who are or were close to it rally the troops and wage a fierce campaign to try to keep it open.  Sometimes it works, other times, it doesn't.

The scene playing out is not unusual: Allegations of secret deals, incompetence, blindness to all that is and was good at Sweet Briar. This is what happens when you decide to close a college.  And although I'm not taking sides, I did write before that the closing does seem to be curious in light of what little publicly available financial data there is: If you had to pick a college from this list that was going to close, it probably wouldn't be Sweet Briar.  Even the federal rankings of financial responsibility gave Sweet Briar a 3, a score higher than Harvard, which may only point out how absurd those ratings are in the first place.

A while ago, I downloaded a pretty extensive data set, using the members of the Women's College Coalition as my base.  Not all colleges have data available in IPEDS, however, so I did the best I could (for instance, the Women's College at Rutgers is not in IPEDS as a separate institution, or if it is, I couldn't find it.  And I took out Saint Mary of the Woods, as they just announced they're going co-ed).  Also, since there is no IPEDS data field that tells you when a college is a women's college, I couldn't go back and find out how many were labeled as such 20 years ago.  That might have been interesting.

Overall, though, the data were pretty uninteresting.  So I gave up on visualizing it.  There were trends, of course, but nothing dramatic.

So, when I saw this article, by one of the people leading the charge on the Save Sweet Briar campaign, one sentence jumped out at me:

Enrollment: There is no evidence that enrollment is declining, either at Sweet Briar or at women’s or liberal arts colleges. This claim is simply false. Numbers people, please check for yourself: The data are publicly available.

The data are available, and the link goes to the IPEDS site I use all the time.  So, take a look here. There are five views of the data, using the tabs across the top.  The first shows changes in freshman, total, undergraduate, and graduate enrollment over time.  The changes on the right are shown in relation to the prior year.  The second shows the same data, but the change is cumulative since 2005: As you can see, total undergraduate enrollment is down almost 6% during a time enrollment increased nationally.  The third shows admissions activity; the fourth breaks it out, showing Sweet Briar and all the other women's colleges in aggregate.  And the fifth shows total undergraduate enrollment in 2005 and 2013 (on the left) and change (on the right.)  As you can see, there are some big winners, big losers and a lot of small changes.

Decide for yourself.  And tell me what you see: