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set up project's initial structure
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Project_2_EDA.ipynb

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{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"#### 1. DATASCI 200 - PROJECT 2\n",
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"- Names:\n",
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" - Gabriella Tom\n",
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" - Ambro Quach\n",
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" - Chad Adelman\n",
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" - Uma Krishnan\n",
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"- Github: https://github.com/UC-Berkeley-I-School/project2_tom_quach_krishnan_adelman\n"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"1.1 Overview"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"1.2 Research Question"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"1.3 Background and Prior Work"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"1.4 Dataset(s)\n",
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"- 1.) Datahub FiveThirtyEight\n",
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" - Link to dataset: https://datahub.io/core/five-thirty-eight-datasets/datasets/congress-age\n",
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" - Size of dataset: 18,000+ observations\n",
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" - Description:\n",
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" - Used Fields:\n",
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"- 2.) Github U.S. Congress Legislators\n",
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" - Link to dataset: https://github.com/unitedstates/congress-legislators?tab=readme-ov-file\n",
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" - Size of dataset:\n",
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" - Description:\n",
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" - Used Fields:\n",
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"- 3.) The United States IO\n",
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" - Link to dataset: https://theunitedstates.io/\n",
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" - Size of dataset:\n",
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" - Description:\n",
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" - Used Fields:"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"1.5 Setup\n"
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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": 1,
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"metadata": {},
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"outputs": [],
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"source": [
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"import numpy as np\n",
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"import pandas as pd\n",
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"import matplotlib.pyplot as plt\n",
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"import seaborn as sns\n",
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"import datetime\n",
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"import ast"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"1.6 Data Cleaning"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"1.7 Data Analysis\n",
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"- 1.7.1 Descriptive Analysis\n",
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"- 1.7.2 Explanatory Analysis"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"1.8 Data Visualization"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"1.9 Results and Findings"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"1.10 Ethics and Privacy\n",
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"- Data Acquisition:\n",
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"- Data Privacy Concern:\n",
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"- Data Bias:"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"1.11 Conclusion and Discussion\n",
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"- Conclusion:\n",
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"- Limitations:\n",
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"- Impact:\n",
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"- Future Discussion:"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"1.12 Sources"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.11.7"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}

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