Publications by P. Tallon
Sports Analytics Assignment 4
Introduction In this project, we analyzed red zone football plays to uncover strategic insights that can enhance offensive and defensive decision-making. By merging datasets from games, players, plays, and tracking, we filtered red zone plays (within the opponent’s 20-yard line) and evaluated key factors such as player movements, offensive f...
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Assignment 3 IS470
Introduction This project explores NFL player movement to provide insights into crowding and tackle probability. Building on an initial “Traffic Meter Scale,” We enhanced the analysis by incorporating new metrics, such as tackle probability, opponent density, and crowding indices. These additional calculations allow for a more comprehensive...
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Best Kicker: NFL Analysis
Introduction In this analysis, I aimed to evaluate the performance of NFL kickers, specifically focusing on their success in making field goals. Utilizing data from the 2022 NFL Big Data Bowl, I filtered the plays to concentrate solely on field goals, allowing for a targeted analysis of top-performing kickers. This approach incorporates key met...
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Loyola University Maryland IS470 Assignment 2
Introduction Here is an intro section. Here you can explain at a high level what you did to determine who is the best kicker. Description of Project Talk about your data. Go into detail on what you did to subset your data, what type of results you considered, etc. Data Visualization Talk about your visualizations, what they show, and what you ...
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Demo 1
Introduction Here is an intro section. Here you can explain at a high level what you did to determine who is the best kicker. Description of Project Talk about your data. Go into detail on what you did to subset your data, what type of results you considered, etc. Data Visualization Talk about your visualizations, what they show, and what you ...
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Document
#here is my code library(data.table) library(dplyr) library(ggplot2) Introduction Here is an intro section. Here you can explain at a high level what you did to determine who is the best kicker. Description of Project Talk about your data. Go into detail on what you did to subset your data, what type of results you considered, etc. Data Vis...
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Document
Introduction Here is an intro section. Here you can explain at a high level what you did to determine who is the best kicker. Description of Project Talk about your data. Go into detail on what you did to subset your data, what type of results you considered, etc. Data Visualization Talk about your visualizations, what they show, and what you ...
1122 sym R (6222 sym/6 pcs) 5 img 1 tbl
test1234
import os os.environ['QT_QPA_PLATFORM_PLUGIN_PATH'] = 'C:/users/pptallon/appdata/local/Anaconda3/Library/plugins/platforms' import numpy as np import pandas as pd import seaborn as sns from matplotlib.ticker import FuncFormatter import matplotlib.pyplot as plt import plotly.graph_objects as go Introduction This data visualization will work ...
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RMarkdown Demo (P. Tallon)
Introduction Here is an intro section. Description of Project This is some general blurb about what I did. Data Visualization Here is what I created. You can see the code to produce the data frame and the code to produce the plot(s). library(data.table) answer <- 1 + 1 answer ## [1] 2 library(ggplot2) # ggplot() + and all of the rest of the...
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IS470 Demo
This is my First Heading This is how I went about doing my assignment #2. blah, blah, blah This is the 2nd paragraph. Hi How are you? Hi How are you? my_path <- "C:/Users/pptallon/Dropbox/G/Teaching/Loyola College/IS470 Sports Analytics/" setwd(my_path) library(data.table) library(ggplot2) library(dplyr) library(tidytext) ...
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