James Triveri jtrive84
jtrive84
/ 2023-cciw-adjacency.csv
Created
October 2, 2024 13:15
2023 CCIW football results adjacency matrix
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| Augustana | Carroll | Carthage | Elmhurst | Illinois Wesleyan | Millikin | North Central | North Park | Washington U. | Wheaton | ||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Augustana | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 0 | |
| Carroll | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | |
| Carthage | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | |
| Elmhurst | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | |
| Illinois Wesleyan | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | |
| Millikin | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |
| North Central | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | |
| North Park | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | |
| Washington U. | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 |
jtrive84
/ 2023-cciw-rankings.csv
Created
October 2, 2024 13:12
2023 CCIW football regular season rankings
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| team | wins | losses | |
|---|---|---|---|
| North Central | 9 | 0 | |
| Wheaton | 8 | 1 | |
| Augustana | 7 | 2 | |
| Washington U. | 6 | 3 | |
| Carroll | 4 | 5 | |
| North Park | 4 | 5 | |
| Carthage | 3 | 6 | |
| Illinois Wesleyan | 3 | 6 | |
| Elmhurst | 1 | 8 |
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| team | conf_wins | conf_losses | overall_wins | overall_losses | conf_win_pct | overall_win_pct | |
|---|---|---|---|---|---|---|---|
| Texas | 8 | 1 | 12 | 2 | 0.889 | 0.857 | |
| Oklahoma State | 7 | 2 | 10 | 4 | 0.778 | 0.714 | |
| Oklahoma | 7 | 2 | 10 | 3 | 0.778 | 0.769 | |
| Iowa State | 6 | 3 | 7 | 6 | 0.667 | 0.538 | |
| Kansas State | 6 | 3 | 9 | 4 | 0.667 | 0.692 | |
| West Virginia | 6 | 3 | 9 | 4 | 0.667 | 0.692 | |
| Texas Tech | 5 | 4 | 7 | 6 | 0.556 | 0.538 | |
| Kansas | 5 | 4 | 9 | 4 | 0.556 | 0.692 | |
| UCF | 3 | 6 | 6 | 7 | 0.333 | 0.462 |
jtrive84
/ 2023-big-12-adjacency.csv
Last active
October 5, 2024 01:52
2023 Big 12 football results adjacency matrix
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| Baylor | BYU | Cincinnati | Houston | Iowa State | Kansas | Kansas State | Oklahoma | Oklahoma State | TCU | Texas | Texas Tech | UCF | West Virginia | ||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Baylor | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | |
| BYU | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | |
| Cincinnati | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |
| Houston | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | |
| Iowa State | 1 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | |
| Kansas | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | |
| Kansas State | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | |
| Oklahoma | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 1 | |
| Oklahoma State | 0 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 |
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| import datetime | |
| import io | |
| import os | |
| import os.path | |
| import sys | |
| import time | |
| import dash | |
| from dash.dependencies import Input, Output |
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| fig, ax = plt.subplots(figsize=(10, 8), tight_layout=True) | |
| ax.set_title("SAM claims by county", fontsize=10) | |
| dd.plot( | |
| ax=ax, column="n", edgecolor="black", linewidth=.50, | |
| cmap="rainbow", alpha=1, legend=True, | |
| legend_kwds={"label": "number of claims", "orientation": "vertical", "shrink": .35}, | |
| missing_kwds={"facecolor": "#FFFFFF", "edgecolor": "#000000", "linewidth": .25} | |
| ) | |
| ax.axis("off") | |
| plt.show() |
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| # Create a DataFrame that takes a dataset of 50k State - County - ZIp combinations | |
| # to a table of ~3k reocrds keyed by County, with a list column of zipcodes. | |
| ggck = dfz2c.groupby(["STATE", "FIPS", "County"], as_index=False)["ZIP"].apply(list) |
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| sfThemeSelector = function() { | |
| # -------------------------------------------------------------------------- | |
| # Allow dynamic update of bootstrap theme. | |
| # -------------------------------------------------------------------------- | |
| div( | |
| div( | |
| selectInput( | |
| "shinytheme-selector", "Select theme:", | |
| c("default", shinythemes:::allThemes()), |