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notebooks/v2/analyzing_obesity_prevalence.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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"<a href=\"https://colab.research.google.com/github/datacommonsorg/api-python/blob/master/notebooks/v2/analyzing_obesity_prevalence.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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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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"id": "yjBCrzJfqHtM"
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"id": "srAnaUPPbrH6"
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},
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"source": [
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"Copyright 2025 Google LLC.\n",
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"SPDX-License-Identifier: Apache-2.0\n",
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"\n",
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"**Notebook Version** - 2.0.0"
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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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"# Case Study: Predicting Obesity Prevalence in US Counties\n",
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"\n",
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"*Note:* The US Census also provides unemployment statistics. Using BLS data here is for demonstration purposes. Comparing results using Census unemployment data could be a potential extension."
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]
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},
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"cell_type": "markdown",
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"metadata": {
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"colab_type": "text",
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"id": "view-in-github"
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},
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"source": [
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"<a href=\"https://colab.research.google.com/github/datacommonsorg/api-python/blob/master/notebooks/analyzing_obesity_prevalence.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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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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"id": "srAnaUPPbrH6"
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},
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"source": [
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"Copyright 2025 Google LLC.\n",
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"SPDX-License-Identifier: Apache-2.0\n",
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"\n",
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"**Notebook Version** - 2.0.0"
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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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