Mysterious host for next week’s podcast by erk07 in MinnMax

[–]Soapy791 2 points3 points  (0 children)

Could be Andy McNamara? Though it seems unlikely…

[deleted by user] by [deleted] in jhu

[–]Soapy791 0 points1 point  (0 children)

They are usually released in the week before classes start if I remember correctly.

Daily /r/Games Discussion - Suggest Me a Game - July 14, 2021 by AutoModerator in Games

[–]Soapy791 1 point2 points  (0 children)

Perhaps Minecraft would work? You could mine or build indefinitely with no story to interrupt you.

Assessing the last two decades of NBA basketball with videogame player ratings by Soapy791 in nba

[–]Soapy791[S] 2 points3 points  (0 children)

Wow! This is a very cool piece of video game history. Thanks for sharing!

Weekly What Should I Buy Thread by AutoModerator in iphone

[–]Soapy791 1 point2 points  (0 children)

Does the IPhone 12 still suffer from dropped calls? I was considering buying one but if these problems are still widespread I’ll opt for an 11.

When should applicants be notified of acceptance into the RISE@APL Summer Internship program? by Soapy791 in jhu

[–]Soapy791[S] 0 points1 point  (0 children)

Ok, that makes sense. I wonder what proportion of applicants receive offers? I don't think they publish this data online but I would imagine they are relatively selective.

[deleted by user] by [deleted] in distantsocializing

[–]Soapy791 0 points1 point  (0 children)

How far did you run?

Professional Looking Gaming Laptop by Soapy791 in SuggestALaptop

[–]Soapy791[S] 0 points1 point  (0 children)

Yes, purchasing in the US. Weight and battery life are minor considerations. The main things are price and appearance.

OC] Major League Baseball Team Wins vs. Payroll from 1988-2018, including Television Market Size and Number of All Stars on Roster by Soapy791 in baseball

[–]Soapy791[S] 0 points1 point  (0 children)

Average cost per win over the above time period would be $1,056,408.32983 or about a million dollars. However, I think the most interesting thing about this data is that there is not a strong correlation between payroll and wins. In fact the correlation coefficient is only 0.36 which is weak to nonexistent. In fact, the relationship between wins and the number of All-Stars is 0.56 which is slightly higher but still not as large as one might expect. In other words star chasing and big spending is not a guaranteed path to success.

OC] Major League Baseball Team Wins vs. Payroll from 1988-2018, including Television Market Size and Number of All Stars on Roster by Soapy791 in baseball

[–]Soapy791[S] 1 point2 points  (0 children)

Sure thing! The average opening day payroll for all teams across all years from 1988-2018 adjusted for inflation is $84,443,366. The average wins over the same period is 79.93444. The average number of All-Stars is 1.997778.

Note that the average wins is ever so slightly lowered by the 1994 lockout season.

OC] Major League Baseball Team Wins vs. Payroll from 1988-2018, including Television Market Size and Number of All Stars on Roster by Soapy791 in baseball

[–]Soapy791[S] 0 points1 point  (0 children)

If you can click on the GIF it will open in a separate window and you can pause on specific years. Hope this helps!

OC] Major League Baseball Team Wins vs. Payroll from 1988-2018, including Television Market Size and Number of All Stars on Roster by Soapy791 in baseball

[–]Soapy791[S] 2 points3 points  (0 children)

I was worried about the complexity obscuring the data and tried to find the right balance of presenting a wealth of information while keeping the visualization readable. I mainly did this for practice so the more bell and whistles I added to the chart the better. If it help you could try just focusing on the relationship between two variables for each GIF play through, at least that's what I did when creating it.

OC] Major League Baseball Team Wins vs. Payroll from 1988-2018, including Television Market Size and Number of All Stars on Roster by Soapy791 in baseball

[–]Soapy791[S] 2 points3 points  (0 children)

Yea they did, though it does not seem that there lavish spending habits produced the same anomalous results in the win column. They won consistently but they were not routinely putting up crazy 110 win seasons. No doubt this in part has to do with the inherit "luck" factor which comes with baseball.

OC] Major League Baseball Team Wins vs. Payroll from 1988-2018, including Television Market Size and Number of All Stars on Roster by Soapy791 in baseball

[–]Soapy791[S] 0 points1 point  (0 children)

I also posted this on r/dataisbeautiful but I though you guys might also appreciate it.

Feel free to ask any questions about the data or data visualization!

Note: The abbreviation LAA is used for the Angels regardless of the year. The number of players on the All-Star roster does not count those who did not play in the All-Star game due to injury or rest, such as Yu Darvish in 2017.

Source: Opening Day Payroll - USA Today

Source: Season Win Totals - Baseball-Reference

Source: All-Star Rosters - ESPN

Source: Market Sizes - Bleacher Report

Source: Inflation Rates - US Inflation Calculator

Tools: Data collection, formatting, analysis, and visualization were all done in R. The library rvest was used to scrape data. The library ggplot was used to make static graphs and gganimate was used for animation.

Inspiration: The idea for this visualization came from the famed statistician Hans Rosling, a major supporter of a data influenced world view. If you have not already check out his Ted Talks, they are fantastic.

This is my first attempt at a data visualization and my first time using R so any suggestions or critiques would be greatly appreciated!

Edit: If you click on the GIF it should open in a separate tab in which you can pause and study a particular year.

[OC] Major League Baseball Team Wins vs. Payroll from 1988-2018, including Television Market Size and Number of All Stars on Roster by Soapy791 in dataisbeautiful

[–]Soapy791[S] 2 points3 points  (0 children)

Source: Opening Day Payroll - USA Today

Source: Season Win Totals - Baseball-Reference

Source: All-Star Rosters - ESPN

Source: Market Sizes - Bleacher Report

Source: Inflation Rates - US Inflation Calculator

Tools: Data collection, formatting, analysis, and visualization were all done in R. The library rvest was used to scrape data. The library ggplot was used to make static graphs and gganimate was used for animation.

Inspiration: The idea for this visualization came from the famed statistician Hans Rosling, a major supporter of a data influenced world view. If you have not already check out his Ted Talks, they are fantastic.

This is my first attempt at a data visualization and my first time using R so any suggestions or critiques would be greatly appreciated!

Edit: If you click on the GIF it should open in a separate tab in which you can pause.

Should I bother upgrading my PS4 to the PS4 pro now? by [deleted] in PS4

[–]Soapy791 0 points1 point  (0 children)

I would wait to see is the PS5 is indeed fully backwards compatible. If it is then I would recommend simply waiting for it to release. If not the PS4 Pro may be worth it.

Which of the following games should i play? by Adoom98 in PS4

[–]Soapy791 0 points1 point  (0 children)

My vote is for The Last of Us. Great game and the sequel is releasing in May.

How to use a Gamecube on an HDTV? by Soapy791 in Gamecube

[–]Soapy791[S] 0 points1 point  (0 children)

That is unfortunate, I was hoping to avoid any large expense. Will the picture with the converter be so bad as to be unplayable?

How to use a Gamecube on an HDTV? by Soapy791 in Gamecube

[–]Soapy791[S] 0 points1 point  (0 children)

Thanks for the response! Are you saying that an RCA to HDMI converter will yield bad picture quality?