generated from mwc/project_argument
I filled out the proposal.md file.
I have just started the project so there is nothing to reflect on yet. I am excited for this proejct as NBA data is very interesting to me.
This commit is contained in:
jwberent
576
.ipynb_checkpoints/argument-checkpoint.ipynb
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576
.ipynb_checkpoints/argument-checkpoint.ipynb
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@@ -0,0 +1,576 @@
|
||||
{
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||||
"cells": [
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||||
{
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"cell_type": "markdown",
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"id": "worldwide-blood",
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||||
"metadata": {},
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"source": [
|
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"# Introduction"
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||||
]
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||||
},
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||||
{
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||||
"cell_type": "markdown",
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||||
"id": "understanding-numbers",
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||||
"metadata": {},
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||||
"source": [
|
||||
"*✏️ Write 2-3 sentences describing your research.*"
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||||
]
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||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "greater-circular",
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||||
"metadata": {},
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||||
"source": [
|
||||
"## Overarching Question: [✏️ PUT YOUR QUESTION HERE ✏️]"
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||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "appreciated-testimony",
|
||||
"metadata": {},
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||||
"source": [
|
||||
"*✏️ Write 2-3 sentences explaining why this question.*"
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||||
]
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||||
},
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||||
{
|
||||
"cell_type": "markdown",
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||||
"id": "permanent-pollution",
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||||
"metadata": {},
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||||
"source": [
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||||
"# Data"
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||||
]
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},
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{
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||||
"cell_type": "code",
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||||
"execution_count": 10,
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||||
"id": "technical-evans",
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||||
"metadata": {},
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||||
"outputs": [],
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||||
"source": [
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||||
"#Include any import statements you will need\n",
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"import pandas as pd\n",
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"import matplotlib.pyplot as plt"
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]
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},
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||||
{
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||||
"cell_type": "code",
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||||
"execution_count": 11,
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||||
"id": "overhead-sigma",
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"metadata": {
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"scrolled": true
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},
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||||
"outputs": [],
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"source": [
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"### 💻 FILL IN YOUR DATASET FILE NAME BELOW 💻 ###\n",
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"\n",
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"file_name = \"modern_RAPTOR_by_player.csv\"\n",
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"dataset_path = \"data/\" + file_name\n",
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"\n",
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"df = pd.read_csv(dataset_path)"
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]
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},
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{
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"cell_type": "code",
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||||
"execution_count": 12,
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||||
"id": "heated-blade",
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"metadata": {},
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||||
"outputs": [
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{
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"data": {
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||||
"text/html": [
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||||
"<div>\n",
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||||
"<style scoped>\n",
|
||||
" .dataframe tbody tr th:only-of-type {\n",
|
||||
" vertical-align: middle;\n",
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||||
" }\n",
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||||
"\n",
|
||||
" .dataframe tbody tr th {\n",
|
||||
" vertical-align: top;\n",
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||||
" }\n",
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||||
"\n",
|
||||
" .dataframe thead th {\n",
|
||||
" text-align: right;\n",
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||||
" }\n",
|
||||
"</style>\n",
|
||||
"<table border=\"1\" class=\"dataframe\">\n",
|
||||
" <thead>\n",
|
||||
" <tr style=\"text-align: right;\">\n",
|
||||
" <th></th>\n",
|
||||
" <th>player_name</th>\n",
|
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" <th>player_id</th>\n",
|
||||
" <th>season</th>\n",
|
||||
" <th>poss</th>\n",
|
||||
" <th>mp</th>\n",
|
||||
" <th>raptor_box_offense</th>\n",
|
||||
" <th>raptor_box_defense</th>\n",
|
||||
" <th>raptor_box_total</th>\n",
|
||||
" <th>raptor_onoff_offense</th>\n",
|
||||
" <th>raptor_onoff_defense</th>\n",
|
||||
" <th>...</th>\n",
|
||||
" <th>raptor_offense</th>\n",
|
||||
" <th>raptor_defense</th>\n",
|
||||
" <th>raptor_total</th>\n",
|
||||
" <th>war_total</th>\n",
|
||||
" <th>war_reg_season</th>\n",
|
||||
" <th>war_playoffs</th>\n",
|
||||
" <th>predator_offense</th>\n",
|
||||
" <th>predator_defense</th>\n",
|
||||
" <th>predator_total</th>\n",
|
||||
" <th>pace_impact</th>\n",
|
||||
" </tr>\n",
|
||||
" </thead>\n",
|
||||
" <tbody>\n",
|
||||
" <tr>\n",
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||||
" <th>0</th>\n",
|
||||
" <td>Alex Abrines</td>\n",
|
||||
" <td>abrinal01</td>\n",
|
||||
" <td>2017</td>\n",
|
||||
" <td>2387</td>\n",
|
||||
" <td>1135</td>\n",
|
||||
" <td>0.745505</td>\n",
|
||||
" <td>-0.372938</td>\n",
|
||||
" <td>0.372567</td>\n",
|
||||
" <td>-0.418553</td>\n",
|
||||
" <td>-3.857011</td>\n",
|
||||
" <td>...</td>\n",
|
||||
" <td>0.543421</td>\n",
|
||||
" <td>-1.144832</td>\n",
|
||||
" <td>-0.601411</td>\n",
|
||||
" <td>1.249008</td>\n",
|
||||
" <td>1.447708</td>\n",
|
||||
" <td>-0.198700</td>\n",
|
||||
" <td>0.077102</td>\n",
|
||||
" <td>-1.038677</td>\n",
|
||||
" <td>-0.961575</td>\n",
|
||||
" <td>0.326413</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>1</th>\n",
|
||||
" <td>Alex Abrines</td>\n",
|
||||
" <td>abrinal01</td>\n",
|
||||
" <td>2018</td>\n",
|
||||
" <td>2546</td>\n",
|
||||
" <td>1244</td>\n",
|
||||
" <td>0.317549</td>\n",
|
||||
" <td>-1.725325</td>\n",
|
||||
" <td>-1.407776</td>\n",
|
||||
" <td>-1.291727</td>\n",
|
||||
" <td>-0.049694</td>\n",
|
||||
" <td>...</td>\n",
|
||||
" <td>-0.020826</td>\n",
|
||||
" <td>-1.502642</td>\n",
|
||||
" <td>-1.523468</td>\n",
|
||||
" <td>0.777304</td>\n",
|
||||
" <td>0.465912</td>\n",
|
||||
" <td>0.311392</td>\n",
|
||||
" <td>-0.174621</td>\n",
|
||||
" <td>-1.112625</td>\n",
|
||||
" <td>-1.287247</td>\n",
|
||||
" <td>-0.456141</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>2</th>\n",
|
||||
" <td>Alex Abrines</td>\n",
|
||||
" <td>abrinal01</td>\n",
|
||||
" <td>2019</td>\n",
|
||||
" <td>1279</td>\n",
|
||||
" <td>588</td>\n",
|
||||
" <td>-3.215683</td>\n",
|
||||
" <td>1.078399</td>\n",
|
||||
" <td>-2.137285</td>\n",
|
||||
" <td>-6.158856</td>\n",
|
||||
" <td>4.901168</td>\n",
|
||||
" <td>...</td>\n",
|
||||
" <td>-4.040157</td>\n",
|
||||
" <td>1.885618</td>\n",
|
||||
" <td>-2.154538</td>\n",
|
||||
" <td>0.178167</td>\n",
|
||||
" <td>0.178167</td>\n",
|
||||
" <td>0.000000</td>\n",
|
||||
" <td>-4.577678</td>\n",
|
||||
" <td>1.543282</td>\n",
|
||||
" <td>-3.034396</td>\n",
|
||||
" <td>-0.268013</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>3</th>\n",
|
||||
" <td>Precious Achiuwa</td>\n",
|
||||
" <td>achiupr01</td>\n",
|
||||
" <td>2021</td>\n",
|
||||
" <td>1581</td>\n",
|
||||
" <td>749</td>\n",
|
||||
" <td>-4.122966</td>\n",
|
||||
" <td>1.359278</td>\n",
|
||||
" <td>-2.763688</td>\n",
|
||||
" <td>-4.050779</td>\n",
|
||||
" <td>-0.919712</td>\n",
|
||||
" <td>...</td>\n",
|
||||
" <td>-4.347596</td>\n",
|
||||
" <td>0.954821</td>\n",
|
||||
" <td>-3.392775</td>\n",
|
||||
" <td>-0.246055</td>\n",
|
||||
" <td>-0.246776</td>\n",
|
||||
" <td>0.000721</td>\n",
|
||||
" <td>-3.817713</td>\n",
|
||||
" <td>0.474828</td>\n",
|
||||
" <td>-3.342885</td>\n",
|
||||
" <td>0.329157</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>4</th>\n",
|
||||
" <td>Precious Achiuwa</td>\n",
|
||||
" <td>achiupr01</td>\n",
|
||||
" <td>2022</td>\n",
|
||||
" <td>3802</td>\n",
|
||||
" <td>1892</td>\n",
|
||||
" <td>-2.521510</td>\n",
|
||||
" <td>1.763502</td>\n",
|
||||
" <td>-0.758008</td>\n",
|
||||
" <td>-1.687893</td>\n",
|
||||
" <td>3.103441</td>\n",
|
||||
" <td>...</td>\n",
|
||||
" <td>-2.517372</td>\n",
|
||||
" <td>2.144151</td>\n",
|
||||
" <td>-0.373221</td>\n",
|
||||
" <td>2.262658</td>\n",
|
||||
" <td>2.309611</td>\n",
|
||||
" <td>-0.046953</td>\n",
|
||||
" <td>-2.483956</td>\n",
|
||||
" <td>2.024360</td>\n",
|
||||
" <td>-0.459596</td>\n",
|
||||
" <td>-0.728609</td>\n",
|
||||
" </tr>\n",
|
||||
" </tbody>\n",
|
||||
"</table>\n",
|
||||
"<p>5 rows × 21 columns</p>\n",
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||||
"</div>"
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||||
],
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||||
"text/plain": [
|
||||
" player_name player_id season poss mp raptor_box_offense \\\n",
|
||||
"0 Alex Abrines abrinal01 2017 2387 1135 0.745505 \n",
|
||||
"1 Alex Abrines abrinal01 2018 2546 1244 0.317549 \n",
|
||||
"2 Alex Abrines abrinal01 2019 1279 588 -3.215683 \n",
|
||||
"3 Precious Achiuwa achiupr01 2021 1581 749 -4.122966 \n",
|
||||
"4 Precious Achiuwa achiupr01 2022 3802 1892 -2.521510 \n",
|
||||
"\n",
|
||||
" raptor_box_defense raptor_box_total raptor_onoff_offense \\\n",
|
||||
"0 -0.372938 0.372567 -0.418553 \n",
|
||||
"1 -1.725325 -1.407776 -1.291727 \n",
|
||||
"2 1.078399 -2.137285 -6.158856 \n",
|
||||
"3 1.359278 -2.763688 -4.050779 \n",
|
||||
"4 1.763502 -0.758008 -1.687893 \n",
|
||||
"\n",
|
||||
" raptor_onoff_defense ... raptor_offense raptor_defense raptor_total \\\n",
|
||||
"0 -3.857011 ... 0.543421 -1.144832 -0.601411 \n",
|
||||
"1 -0.049694 ... -0.020826 -1.502642 -1.523468 \n",
|
||||
"2 4.901168 ... -4.040157 1.885618 -2.154538 \n",
|
||||
"3 -0.919712 ... -4.347596 0.954821 -3.392775 \n",
|
||||
"4 3.103441 ... -2.517372 2.144151 -0.373221 \n",
|
||||
"\n",
|
||||
" war_total war_reg_season war_playoffs predator_offense \\\n",
|
||||
"0 1.249008 1.447708 -0.198700 0.077102 \n",
|
||||
"1 0.777304 0.465912 0.311392 -0.174621 \n",
|
||||
"2 0.178167 0.178167 0.000000 -4.577678 \n",
|
||||
"3 -0.246055 -0.246776 0.000721 -3.817713 \n",
|
||||
"4 2.262658 2.309611 -0.046953 -2.483956 \n",
|
||||
"\n",
|
||||
" predator_defense predator_total pace_impact \n",
|
||||
"0 -1.038677 -0.961575 0.326413 \n",
|
||||
"1 -1.112625 -1.287247 -0.456141 \n",
|
||||
"2 1.543282 -3.034396 -0.268013 \n",
|
||||
"3 0.474828 -3.342885 0.329157 \n",
|
||||
"4 2.024360 -0.459596 -0.728609 \n",
|
||||
"\n",
|
||||
"[5 rows x 21 columns]"
|
||||
]
|
||||
},
|
||||
"execution_count": 12,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"df.head()"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "continental-franklin",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"**Data Overview**\n",
|
||||
"\n",
|
||||
"*✏️ Write 2-3 sentences describing this dataset. Be sure to include where the data comes from and what it contains.*"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "infinite-instrument",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"# Methods and Results"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "basic-canadian",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"#Import any helper files you need here"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "recognized-positive",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"## First Research Question: [✏️ PUT YOUR QUESTION HERE ✏️]\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "graduate-palmer",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"### Methods"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "endless-variation",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"*Explain how you will approach this research question below. Consider the following:* \n",
|
||||
" - *Which aspects of the dataset will you use?* \n",
|
||||
" - *How will you reorganize/store the data?* \n",
|
||||
" - *What data science tools/functions will you use and why?* \n",
|
||||
" \n",
|
||||
"✏️ *Write your answer below:*\n",
|
||||
"\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "portuguese-japan",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"### Results "
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 17,
|
||||
"id": "negative-highlight",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"#######################################################################\n",
|
||||
"### 💻 YOUR WORK GOES HERE TO ANSWER THE FIRST RESEARCH QUESTION 💻 \n",
|
||||
"### \n",
|
||||
"### Your data analysis may include a statistic and/or a data visualization\n",
|
||||
"#######################################################################"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 16,
|
||||
"id": "victorian-burning",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"# 💻 YOU CAN ADD NEW CELLS WITH THE \"+\" BUTTON "
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "collectible-puppy",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"## Second Research Question: [✏️ PUT YOUR QUESTION HERE ✏️]\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "demographic-future",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"### Methods"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "incorporate-roller",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"*Explain how you will approach this research question below. Consider the following:* \n",
|
||||
" - *Which aspects of the dataset will you use?* \n",
|
||||
" - *How will you reorganize/store the data?* \n",
|
||||
" - *What data science tools/functions will you use and why?* \n",
|
||||
"\n",
|
||||
"✏️ *Write your answer below:*\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "juvenile-creation",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"### Results "
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 14,
|
||||
"id": "pursuant-surrey",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"#######################################################################\n",
|
||||
"### 💻 YOUR WORK GOES HERE TO ANSWER THE SECOND RESEARCH QUESTION 💻 \n",
|
||||
"###\n",
|
||||
"### Your data analysis may include a statistic and/or a data visualization\n",
|
||||
"#######################################################################"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 15,
|
||||
"id": "located-night",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"# 💻 YOU CAN ADD NEW CELLS WITH THE \"+\" BUTTON "
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "infectious-symbol",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"# Discussion"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "furnished-camping",
|
||||
"metadata": {
|
||||
"code_folding": []
|
||||
},
|
||||
"source": [
|
||||
"## Considerations"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "bearing-stadium",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"*It's important to recognize the limitations of our research.\n",
|
||||
"Consider the following:*\n",
|
||||
"\n",
|
||||
"- *Do the results give an accurate depiction of your research question? Why or why not?*\n",
|
||||
"- *What were limitations of your datset?*\n",
|
||||
"- *Are there any known biases in the data?*\n",
|
||||
"\n",
|
||||
"✏️ *Write your answer below:*"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "beneficial-invasion",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"## Summary"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "about-raise",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"*Summarize what you discovered through the research. Consider the following:*\n",
|
||||
"\n",
|
||||
"- *What did you learn about your media consumption/digital habits?*\n",
|
||||
"- *Did the results make sense?*\n",
|
||||
"- *What was most surprising?*\n",
|
||||
"- *How will this project impact you going forward?*\n",
|
||||
"\n",
|
||||
"✏️ *Write your answer below:*"
|
||||
]
|
||||
}
|
||||
],
|
||||
"metadata": {
|
||||
"jupytext": {
|
||||
"cell_metadata_json": true,
|
||||
"text_representation": {
|
||||
"extension": ".Rmd",
|
||||
"format_name": "rmarkdown",
|
||||
"format_version": "1.2",
|
||||
"jupytext_version": "1.9.1"
|
||||
}
|
||||
},
|
||||
"kernelspec": {
|
||||
"display_name": "Python 3 (ipykernel)",
|
||||
"language": "python",
|
||||
"name": "python3"
|
||||
},
|
||||
"language_info": {
|
||||
"codemirror_mode": {
|
||||
"name": "ipython",
|
||||
"version": 3
|
||||
},
|
||||
"file_extension": ".py",
|
||||
"mimetype": "text/x-python",
|
||||
"name": "python",
|
||||
"nbconvert_exporter": "python",
|
||||
"pygments_lexer": "ipython3",
|
||||
"version": "3.12.3"
|
||||
},
|
||||
"toc": {
|
||||
"base_numbering": 1,
|
||||
"nav_menu": {},
|
||||
"number_sections": false,
|
||||
"sideBar": true,
|
||||
"skip_h1_title": false,
|
||||
"title_cell": "Table of Contents",
|
||||
"title_sidebar": "Contents",
|
||||
"toc_cell": false,
|
||||
"toc_position": {},
|
||||
"toc_section_display": true,
|
||||
"toc_window_display": false
|
||||
},
|
||||
"varInspector": {
|
||||
"cols": {
|
||||
"lenName": 16,
|
||||
"lenType": 16,
|
||||
"lenVar": 40
|
||||
},
|
||||
"kernels_config": {
|
||||
"python": {
|
||||
"delete_cmd_postfix": "",
|
||||
"delete_cmd_prefix": "del ",
|
||||
"library": "var_list.py",
|
||||
"varRefreshCmd": "print(var_dic_list())"
|
||||
},
|
||||
"r": {
|
||||
"delete_cmd_postfix": ") ",
|
||||
"delete_cmd_prefix": "rm(",
|
||||
"library": "var_list.r",
|
||||
"varRefreshCmd": "cat(var_dic_list()) "
|
||||
}
|
||||
},
|
||||
"types_to_exclude": [
|
||||
"module",
|
||||
"function",
|
||||
"builtin_function_or_method",
|
||||
"instance",
|
||||
"_Feature"
|
||||
],
|
||||
"window_display": false
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
"nbformat_minor": 5
|
||||
}
|
||||
39
.ipynb_checkpoints/proposal-checkpoint.md
Normal file
39
.ipynb_checkpoints/proposal-checkpoint.md
Normal file
@@ -0,0 +1,39 @@
|
||||
# Project proposal
|
||||
|
||||
This planning document will also form the introduction of your
|
||||
argument.
|
||||
|
||||
## Overarching Question
|
||||
|
||||
### What central question are you interested in exploring? Why are you interested in exploring this question?
|
||||
|
||||
*This should be the big picture question that you ask; use at least 5
|
||||
sentences to describe why you are interested in it.*
|
||||
|
||||
### What specific research questions will you investigate?
|
||||
|
||||
*List 2-4 specific research questions. Each should be answerable
|
||||
using your data set.*
|
||||
|
||||
## Data source
|
||||
|
||||
### What data set will you use to answer your overarching question?
|
||||
|
||||
*Give the title of your data set and provide a link to your data.*
|
||||
|
||||
### Where is this data from?
|
||||
|
||||
*Describe the source of the data set--not just where you downloaded it, but
|
||||
the person or organization who gathered the data. Explain why you trust them.*
|
||||
|
||||
### What is this data about?
|
||||
|
||||
*Describe the nature of the data in the dataset, including the number of rows
|
||||
and some of the columns which will be important to you.*
|
||||
|
||||
## Methods
|
||||
|
||||
### How will you use your data set to answer your quantitative questions?
|
||||
|
||||
*For each research question, explain what you will do with the data set
|
||||
to answer the question, and how you will present your answer (e.g. a chart or a table).*
|
||||
230
argument.ipynb
230
argument.ipynb
@@ -42,7 +42,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"execution_count": 10,
|
||||
"id": "technical-evans",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
@@ -54,14 +54,16 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"execution_count": 11,
|
||||
"id": "overhead-sigma",
|
||||
"metadata": {},
|
||||
"metadata": {
|
||||
"scrolled": true
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"### 💻 FILL IN YOUR DATASET FILE NAME BELOW 💻 ###\n",
|
||||
"\n",
|
||||
"file_name = \"YOUR_DATASET_FILE_NAME.csv\"\n",
|
||||
"file_name = \"modern_RAPTOR_by_player.csv\"\n",
|
||||
"dataset_path = \"data/\" + file_name\n",
|
||||
"\n",
|
||||
"df = pd.read_csv(dataset_path)"
|
||||
@@ -69,10 +71,224 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"execution_count": 12,
|
||||
"id": "heated-blade",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/html": [
|
||||
"<div>\n",
|
||||
"<style scoped>\n",
|
||||
" .dataframe tbody tr th:only-of-type {\n",
|
||||
" vertical-align: middle;\n",
|
||||
" }\n",
|
||||
"\n",
|
||||
" .dataframe tbody tr th {\n",
|
||||
" vertical-align: top;\n",
|
||||
" }\n",
|
||||
"\n",
|
||||
" .dataframe thead th {\n",
|
||||
" text-align: right;\n",
|
||||
" }\n",
|
||||
"</style>\n",
|
||||
"<table border=\"1\" class=\"dataframe\">\n",
|
||||
" <thead>\n",
|
||||
" <tr style=\"text-align: right;\">\n",
|
||||
" <th></th>\n",
|
||||
" <th>player_name</th>\n",
|
||||
" <th>player_id</th>\n",
|
||||
" <th>season</th>\n",
|
||||
" <th>poss</th>\n",
|
||||
" <th>mp</th>\n",
|
||||
" <th>raptor_box_offense</th>\n",
|
||||
" <th>raptor_box_defense</th>\n",
|
||||
" <th>raptor_box_total</th>\n",
|
||||
" <th>raptor_onoff_offense</th>\n",
|
||||
" <th>raptor_onoff_defense</th>\n",
|
||||
" <th>...</th>\n",
|
||||
" <th>raptor_offense</th>\n",
|
||||
" <th>raptor_defense</th>\n",
|
||||
" <th>raptor_total</th>\n",
|
||||
" <th>war_total</th>\n",
|
||||
" <th>war_reg_season</th>\n",
|
||||
" <th>war_playoffs</th>\n",
|
||||
" <th>predator_offense</th>\n",
|
||||
" <th>predator_defense</th>\n",
|
||||
" <th>predator_total</th>\n",
|
||||
" <th>pace_impact</th>\n",
|
||||
" </tr>\n",
|
||||
" </thead>\n",
|
||||
" <tbody>\n",
|
||||
" <tr>\n",
|
||||
" <th>0</th>\n",
|
||||
" <td>Alex Abrines</td>\n",
|
||||
" <td>abrinal01</td>\n",
|
||||
" <td>2017</td>\n",
|
||||
" <td>2387</td>\n",
|
||||
" <td>1135</td>\n",
|
||||
" <td>0.745505</td>\n",
|
||||
" <td>-0.372938</td>\n",
|
||||
" <td>0.372567</td>\n",
|
||||
" <td>-0.418553</td>\n",
|
||||
" <td>-3.857011</td>\n",
|
||||
" <td>...</td>\n",
|
||||
" <td>0.543421</td>\n",
|
||||
" <td>-1.144832</td>\n",
|
||||
" <td>-0.601411</td>\n",
|
||||
" <td>1.249008</td>\n",
|
||||
" <td>1.447708</td>\n",
|
||||
" <td>-0.198700</td>\n",
|
||||
" <td>0.077102</td>\n",
|
||||
" <td>-1.038677</td>\n",
|
||||
" <td>-0.961575</td>\n",
|
||||
" <td>0.326413</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>1</th>\n",
|
||||
" <td>Alex Abrines</td>\n",
|
||||
" <td>abrinal01</td>\n",
|
||||
" <td>2018</td>\n",
|
||||
" <td>2546</td>\n",
|
||||
" <td>1244</td>\n",
|
||||
" <td>0.317549</td>\n",
|
||||
" <td>-1.725325</td>\n",
|
||||
" <td>-1.407776</td>\n",
|
||||
" <td>-1.291727</td>\n",
|
||||
" <td>-0.049694</td>\n",
|
||||
" <td>...</td>\n",
|
||||
" <td>-0.020826</td>\n",
|
||||
" <td>-1.502642</td>\n",
|
||||
" <td>-1.523468</td>\n",
|
||||
" <td>0.777304</td>\n",
|
||||
" <td>0.465912</td>\n",
|
||||
" <td>0.311392</td>\n",
|
||||
" <td>-0.174621</td>\n",
|
||||
" <td>-1.112625</td>\n",
|
||||
" <td>-1.287247</td>\n",
|
||||
" <td>-0.456141</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>2</th>\n",
|
||||
" <td>Alex Abrines</td>\n",
|
||||
" <td>abrinal01</td>\n",
|
||||
" <td>2019</td>\n",
|
||||
" <td>1279</td>\n",
|
||||
" <td>588</td>\n",
|
||||
" <td>-3.215683</td>\n",
|
||||
" <td>1.078399</td>\n",
|
||||
" <td>-2.137285</td>\n",
|
||||
" <td>-6.158856</td>\n",
|
||||
" <td>4.901168</td>\n",
|
||||
" <td>...</td>\n",
|
||||
" <td>-4.040157</td>\n",
|
||||
" <td>1.885618</td>\n",
|
||||
" <td>-2.154538</td>\n",
|
||||
" <td>0.178167</td>\n",
|
||||
" <td>0.178167</td>\n",
|
||||
" <td>0.000000</td>\n",
|
||||
" <td>-4.577678</td>\n",
|
||||
" <td>1.543282</td>\n",
|
||||
" <td>-3.034396</td>\n",
|
||||
" <td>-0.268013</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>3</th>\n",
|
||||
" <td>Precious Achiuwa</td>\n",
|
||||
" <td>achiupr01</td>\n",
|
||||
" <td>2021</td>\n",
|
||||
" <td>1581</td>\n",
|
||||
" <td>749</td>\n",
|
||||
" <td>-4.122966</td>\n",
|
||||
" <td>1.359278</td>\n",
|
||||
" <td>-2.763688</td>\n",
|
||||
" <td>-4.050779</td>\n",
|
||||
" <td>-0.919712</td>\n",
|
||||
" <td>...</td>\n",
|
||||
" <td>-4.347596</td>\n",
|
||||
" <td>0.954821</td>\n",
|
||||
" <td>-3.392775</td>\n",
|
||||
" <td>-0.246055</td>\n",
|
||||
" <td>-0.246776</td>\n",
|
||||
" <td>0.000721</td>\n",
|
||||
" <td>-3.817713</td>\n",
|
||||
" <td>0.474828</td>\n",
|
||||
" <td>-3.342885</td>\n",
|
||||
" <td>0.329157</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>4</th>\n",
|
||||
" <td>Precious Achiuwa</td>\n",
|
||||
" <td>achiupr01</td>\n",
|
||||
" <td>2022</td>\n",
|
||||
" <td>3802</td>\n",
|
||||
" <td>1892</td>\n",
|
||||
" <td>-2.521510</td>\n",
|
||||
" <td>1.763502</td>\n",
|
||||
" <td>-0.758008</td>\n",
|
||||
" <td>-1.687893</td>\n",
|
||||
" <td>3.103441</td>\n",
|
||||
" <td>...</td>\n",
|
||||
" <td>-2.517372</td>\n",
|
||||
" <td>2.144151</td>\n",
|
||||
" <td>-0.373221</td>\n",
|
||||
" <td>2.262658</td>\n",
|
||||
" <td>2.309611</td>\n",
|
||||
" <td>-0.046953</td>\n",
|
||||
" <td>-2.483956</td>\n",
|
||||
" <td>2.024360</td>\n",
|
||||
" <td>-0.459596</td>\n",
|
||||
" <td>-0.728609</td>\n",
|
||||
" </tr>\n",
|
||||
" </tbody>\n",
|
||||
"</table>\n",
|
||||
"<p>5 rows × 21 columns</p>\n",
|
||||
"</div>"
|
||||
],
|
||||
"text/plain": [
|
||||
" player_name player_id season poss mp raptor_box_offense \\\n",
|
||||
"0 Alex Abrines abrinal01 2017 2387 1135 0.745505 \n",
|
||||
"1 Alex Abrines abrinal01 2018 2546 1244 0.317549 \n",
|
||||
"2 Alex Abrines abrinal01 2019 1279 588 -3.215683 \n",
|
||||
"3 Precious Achiuwa achiupr01 2021 1581 749 -4.122966 \n",
|
||||
"4 Precious Achiuwa achiupr01 2022 3802 1892 -2.521510 \n",
|
||||
"\n",
|
||||
" raptor_box_defense raptor_box_total raptor_onoff_offense \\\n",
|
||||
"0 -0.372938 0.372567 -0.418553 \n",
|
||||
"1 -1.725325 -1.407776 -1.291727 \n",
|
||||
"2 1.078399 -2.137285 -6.158856 \n",
|
||||
"3 1.359278 -2.763688 -4.050779 \n",
|
||||
"4 1.763502 -0.758008 -1.687893 \n",
|
||||
"\n",
|
||||
" raptor_onoff_defense ... raptor_offense raptor_defense raptor_total \\\n",
|
||||
"0 -3.857011 ... 0.543421 -1.144832 -0.601411 \n",
|
||||
"1 -0.049694 ... -0.020826 -1.502642 -1.523468 \n",
|
||||
"2 4.901168 ... -4.040157 1.885618 -2.154538 \n",
|
||||
"3 -0.919712 ... -4.347596 0.954821 -3.392775 \n",
|
||||
"4 3.103441 ... -2.517372 2.144151 -0.373221 \n",
|
||||
"\n",
|
||||
" war_total war_reg_season war_playoffs predator_offense \\\n",
|
||||
"0 1.249008 1.447708 -0.198700 0.077102 \n",
|
||||
"1 0.777304 0.465912 0.311392 -0.174621 \n",
|
||||
"2 0.178167 0.178167 0.000000 -4.577678 \n",
|
||||
"3 -0.246055 -0.246776 0.000721 -3.817713 \n",
|
||||
"4 2.262658 2.309611 -0.046953 -2.483956 \n",
|
||||
"\n",
|
||||
" predator_defense predator_total pace_impact \n",
|
||||
"0 -1.038677 -0.961575 0.326413 \n",
|
||||
"1 -1.112625 -1.287247 -0.456141 \n",
|
||||
"2 1.543282 -3.034396 -0.268013 \n",
|
||||
"3 0.474828 -3.342885 0.329157 \n",
|
||||
"4 2.024360 -0.459596 -0.728609 \n",
|
||||
"\n",
|
||||
"[5 rows x 21 columns]"
|
||||
]
|
||||
},
|
||||
"execution_count": 12,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"df.head()"
|
||||
]
|
||||
@@ -310,7 +526,7 @@
|
||||
"name": "python",
|
||||
"nbconvert_exporter": "python",
|
||||
"pygments_lexer": "ipython3",
|
||||
"version": "3.9.7"
|
||||
"version": "3.12.3"
|
||||
},
|
||||
"toc": {
|
||||
"base_numbering": 1,
|
||||
|
||||
4686
data/.ipynb_checkpoints/modern_RAPTOR_by_player-checkpoint.csv
Normal file
4686
data/.ipynb_checkpoints/modern_RAPTOR_by_player-checkpoint.csv
Normal file
File diff suppressed because it is too large
Load Diff
4686
data/modern_RAPTOR_by_player.csv
Normal file
4686
data/modern_RAPTOR_by_player.csv
Normal file
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24
proposal.md
24
proposal.md
@@ -7,33 +7,35 @@ argument.
|
||||
|
||||
### What central question are you interested in exploring? Why are you interested in exploring this question?
|
||||
|
||||
*This should be the big picture question that you ask; use at least 5
|
||||
sentences to describe why you are interested in it.*
|
||||
I am interested in NBA data and determining which players are the best. I want to find the best offensive players, defensive players, and all around players. I want to compare some of the most famous current NBA players and see who is the best. I am interested in this because I have played basketball most of my life and enjoy watching the NBA. I like looking at NBA players' stats so this was very interesting to me.
|
||||
|
||||
|
||||
### What specific research questions will you investigate?
|
||||
|
||||
*List 2-4 specific research questions. Each should be answerable
|
||||
using your data set.*
|
||||
I want to see who is better between LeBron James and Kevin Durant. I want to see who is the best offensive player in the NBA by looking at the RAPTOR offense stats. I want to see who is the best defensive player in the NBA by looking at the RAPTOR defense stats. I want to plot some of the best players on a graph to visually show the differences in players. Also, I want to look at individual seasons and see who the best players were each season.
|
||||
|
||||
|
||||
## Data source
|
||||
|
||||
### What data set will you use to answer your overarching question?
|
||||
|
||||
*Give the title of your data set and provide a link to your data.*
|
||||
I will use the NBA raptor data from FiveThirtyEight.
|
||||
The link is: https://github.com/fivethirtyeight/data/blob/4c1ff5e3aef1816ae04af63218015066e186c147/nba-raptor/README.md
|
||||
|
||||
|
||||
### Where is this data from?
|
||||
|
||||
*Describe the source of the data set--not just where you downloaded it, but
|
||||
the person or organization who gathered the data. Explain why you trust them.*
|
||||
I downloaded this from the FiveThirtyEight Github link. I trust them as they have been around for a long time. Also, I trust this data because it was given in the link in the project instructions.
|
||||
|
||||
|
||||
### What is this data about?
|
||||
|
||||
*Describe the nature of the data in the dataset, including the number of rows
|
||||
and some of the columns which will be important to you.*
|
||||
This data says who the best players are in the NBA by season when looking at RAPTOR stats. Using the raptor offense, defense, and total columns will be very important to me as this is how I will decide who is the best.
|
||||
|
||||
|
||||
## Methods
|
||||
|
||||
### How will you use your data set to answer your quantitative questions?
|
||||
|
||||
*For each research question, explain what you will do with the data set
|
||||
to answer the question, and how you will present your answer (e.g. a chart or a table).*
|
||||
I will use some of my favorite NBA players and compare them based on RAPTOR stats. Also, I will graph the top players in the NBA by RAPTOR stats. I will make a scatterplot with some of the best NBA players. I will make a scatterplot with LeBron James and Kevin Durant's raptor stats each season.
|
||||
|
||||
|
||||
Reference in New Issue
Block a user