From abc8e92de326f1767efdb338f27e005b1a861378 Mon Sep 17 00:00:00 2001 From: wolff01 Date: Fri, 3 May 2024 21:33:40 -0400 Subject: [PATCH] conclusion completed --- project_proposal.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/project_proposal.md b/project_proposal.md index d22628c..0c3b69a 100644 --- a/project_proposal.md +++ b/project_proposal.md @@ -52,7 +52,7 @@ The result of the code came out to create a chart that is 134 lines long and as ## Conclusions and Future Work -TODO: Summarize your work and outline future steps needed to complete to take the project to the next stage (for example, if you were to continue with this project in 600/610). You must also address ethical implications of your project, especially as pertains to the public release or use of your software or methods. +In conclusion, the code runs a parsed set of data given in the form of a csv file and extracts each needed part of the csv file. The will then add the necessary swings in and outside of the zone and have those ready to be part of both quotients later on. Then the code multiplies the total number of balls hit in play twice, once using hard hit percentage and another using sweet spot percentage. Taking each of the products we then go and insert them into the quotient where they each will be divided by the total number of swings and that will give us our answer needed. This code as well displays its results in the form of a chart in stream lit with the help of pandas. This code can have the potential to be very impactful in the world of baseball. Taking part in each of these key ideas is very important and when the product itself is ready to fully be produced it will become a great tool and useful all around. In the future, this project should include more recent data as the 2024 Major League Baseball season has become and as well there should be implementation of data from other years as well. The more data that is put into this code, the more that it will have a chance to display its full potential. Furthermore, there should be a way to implement the code to further read and interpret a single player as an option. Having to isolate the data of one player would be an interesting feature as it can make it more accessible to one person who wants to try and learn more about the value of that player. These features can make it so a person of scouting desire sees this they are able to make intentional moves that can further their team to be successful whether that be reading more into how an opponent is or how they can have the most successful team on the field. ## References