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argument.ipynb argument_backup.ipynb

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njmason2
2025-11-05 19:56:15 -05:00
parent d199b19488
commit 95c0fbeb7f
3 changed files with 85 additions and 93 deletions
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62
.ipynb_checkpoints/argument-checkpoint.ipynb
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@@ -10,19 +10,19 @@
}, },
{ {
"cell_type": "markdown", "cell_type": "markdown",
"id": "95683a23-56f0-4077-b631-94e456daa8f4", "id": "b78e413c-505d-4ddf-9af6-ffa72a2f7564",
"metadata": {}, "metadata": {},
"source": [ "source": [
"Argument Project Research - Nelson Mason - November 4, 2025" "# Argument Project Research - Nelson Mason - November 5, 2025"
] ]
}, },
{ {
"cell_type": "markdown", "cell_type": "markdown",
"id": "greater-circular", "id": "ec64e451-1ef8-47e6-9ff3-89b179e86f97",
"metadata": {}, "metadata": {},
"source": [ "source": [
"## Overarching Question: \n", "## Overarching Question: \n",
"I want to know about what relationship exists, if any, between an adult (18 +) person's age and their weight (metric-kg.).\n" "# I want to know about what relationship exists, if any, between an adult (18 +) person's age and their weight (metric-kg.)\n"
] ]
}, },
{ {
@@ -35,7 +35,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 8, "execution_count": 1,
"id": "technical-evans", "id": "technical-evans",
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
@@ -48,7 +48,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 9, "execution_count": 2,
"id": "overhead-sigma", "id": "overhead-sigma",
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
@@ -60,10 +60,10 @@
}, },
{ {
"cell_type": "markdown", "cell_type": "markdown",
"id": "77e81e19-a1dd-43f1-bf6a-69ffa08add94", "id": "2af9e676-2cb6-4d48-893e-789d9059f75d",
"metadata": {}, "metadata": {},
"source": [ "source": [
"There is a progression of age in terms of the numbers of persons participating in this survey." "# There is a progression of age in terms of the numbers of persons participating in this survey."
] ]
}, },
{ {
@@ -99,10 +99,10 @@
}, },
{ {
"cell_type": "markdown", "cell_type": "markdown",
"id": "376d050c-1088-414a-9a33-037e9d8a97cc", "id": "6a37b581-eb94-46fe-b609-59f9d285ca66",
"metadata": {}, "metadata": {},
"source": [ "source": [
"Most persons weigh around 75 kgs. in this survey." "# Most persons weigh around 75 kgs. in this survey."
] ]
}, },
{ {
@@ -138,10 +138,10 @@
}, },
{ {
"cell_type": "markdown", "cell_type": "markdown",
"id": "7fbdae7b-c7c0-472a-a52f-87d158129e25", "id": "72bbaa32-6802-449b-9d4a-e42124d0f388",
"metadata": {}, "metadata": {},
"source": [ "source": [
"There is no individual timeline in this dataset, and therefore no direct relationship between age and weight." "# There is no individual timeline in this dataset, and therefore no direct relationship between age and weight."
] ]
}, },
{ {
@@ -177,12 +177,12 @@
}, },
{ {
"cell_type": "markdown", "cell_type": "markdown",
"id": "1503d38c-8fe9-4b12-b8f9-ed3c51550c08", "id": "e853e8c2-5c69-4638-bb10-0d70d3744668",
"metadata": {}, "metadata": {},
"source": [ "source": [
"I want to see a distribution of persons by age by weight, with outliers.\n", "# I want to see a distribution of persons by age by weight, with outliers.\n",
"There are many outliers on the upside for all age groups.\n", "# There are many outliers on the upside for all age groups.\n",
"There are very few outliers on the downside for all age groups." "# There are very few outliers on the downside for all age groups."
] ]
}, },
{ {
@@ -218,10 +218,10 @@
}, },
{ {
"cell_type": "markdown", "cell_type": "markdown",
"id": "14aec0ff-b030-4916-8ce3-3ad8c56aa08f", "id": "a266d2e8-5331-42c0-a787-f1f7f18c9486",
"metadata": {}, "metadata": {},
"source": [ "source": [
"I want to see the main distribution of persons by age by weight." "# I want to see the main distribution of persons by age by weight."
] ]
}, },
{ {
@@ -275,17 +275,17 @@
}, },
{ {
"cell_type": "markdown", "cell_type": "markdown",
"id": "a912ec72-35a8-4325-8520-4a47d806c287", "id": "0d5ab303-cac5-4327-ab8b-107e4bc1a560",
"metadata": {}, "metadata": {},
"source": [ "source": [
"- Do the results give an accurate depiction of your research question? Yes. Why or why not? The dataset is a valid cross-section of U.S. persons. There are 166,426 records in this database. \"This dataset includes data from 50 states, the District of Columbia, Guam, and Puerto Rico, collected through a combination of landline and cell phone interviews.\" - 2020 Behavioral Risk Factor Surveillance System (BRFSS) annual survey data from the Centers for Disease Control and Prevention (CDC).\n", "#### - Do the results give an accurate depiction of your research question? Yes. Why or why not? The dataset is a valid cross-section of U.S. persons. There are 166,426 records in this database. \"This dataset includes data from 50 states, the District of Columbia, Guam, and Puerto Rico, collected through a combination of landline and cell phone interviews.\" - 2020 Behavioral Risk Factor Surveillance System (BRFSS) annual survey data from the Centers for Disease Control and Prevention (CDC).\n",
"- What were limitations of your dataset? The person answering the survey has a telephone, and voluntarily and accurately answers the survey questions.\n", "#### - What were limitations of your dataset? The person answering the survey has to have a telephone, and voluntarily and accurately answers the survey questions.\n",
"- Are there any known biases in the data? No. " "#### - Are there any known biases in the data? No. "
] ]
}, },
{ {
"cell_type": "markdown", "cell_type": "markdown",
"id": "4c170ecf-38a3-484b-8188-af144918199d", "id": "d5170f98-970f-43af-b51c-23cbc9848bf1",
"metadata": { "metadata": {
"editable": true, "editable": true,
"slideshow": { "slideshow": {
@@ -294,12 +294,20 @@
"tags": [] "tags": []
}, },
"source": [ "source": [
"Conclusions - There is no significant relationship between many persons age and weight because this dataset has no individual timeline. It's only a one-time snapshot." "## Conclusions"
] ]
}, },
{ {
"cell_type": "markdown", "cell_type": "markdown",
"id": "beneficial-invasion", "id": "bbce0e95-72eb-4bf3-b42d-afbe9d763beb",
"metadata": {},
"source": [
"# There is no significant relationship between many persons age and weight because this dataset has no individual timeline. It's only a one-time snapshot."
]
},
{
"cell_type": "markdown",
"id": "38771443-d958-4849-a19a-532c58feb13d",
"metadata": { "metadata": {
"editable": true, "editable": true,
"slideshow": { "slideshow": {
@@ -313,10 +321,10 @@
}, },
{ {
"cell_type": "markdown", "cell_type": "markdown",
"id": "b2b17e2e-0d75-4865-ab30-08250f5c8427", "id": "dc90ca26-d011-4622-b1ee-8954cf81c6dd",
"metadata": {}, "metadata": {},
"source": [ "source": [
"I found out that a snapshot dataset cannot discern a direct relationship between many persons age and weight, since there's no timeline in the dataset. What I learned is to be careful in drawing conclusions about datasets based on limited information. " "### I found out that a snapshot dataset cannot discern a direct relationship between many persons age and weight, since there's no timeline in the dataset. What I learned is to be careful in drawing conclusions about datasets based on limited information. "
] ]
} }
], ],

62
argument.ipynb
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@@ -10,19 +10,19 @@
}, },
{ {
"cell_type": "markdown", "cell_type": "markdown",
"id": "95683a23-56f0-4077-b631-94e456daa8f4", "id": "b78e413c-505d-4ddf-9af6-ffa72a2f7564",
"metadata": {}, "metadata": {},
"source": [ "source": [
"Argument Project Research - Nelson Mason - November 4, 2025" "# Argument Project Research - Nelson Mason - November 5, 2025"
] ]
}, },
{ {
"cell_type": "markdown", "cell_type": "markdown",
"id": "greater-circular", "id": "ec64e451-1ef8-47e6-9ff3-89b179e86f97",
"metadata": {}, "metadata": {},
"source": [ "source": [
"## Overarching Question: \n", "## Overarching Question: \n",
"I want to know about what relationship exists, if any, between an adult (18 +) person's age and their weight (metric-kg.).\n" "# I want to know about what relationship exists, if any, between an adult (18 +) person's age and their weight (metric-kg.)\n"
] ]
}, },
{ {
@@ -35,7 +35,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 8, "execution_count": 1,
"id": "technical-evans", "id": "technical-evans",
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
@@ -48,7 +48,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 9, "execution_count": 2,
"id": "overhead-sigma", "id": "overhead-sigma",
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
@@ -60,10 +60,10 @@
}, },
{ {
"cell_type": "markdown", "cell_type": "markdown",
"id": "77e81e19-a1dd-43f1-bf6a-69ffa08add94", "id": "2af9e676-2cb6-4d48-893e-789d9059f75d",
"metadata": {}, "metadata": {},
"source": [ "source": [
"There is a progression of age in terms of the numbers of persons participating in this survey." "# There is a progression of age in terms of the numbers of persons participating in this survey."
] ]
}, },
{ {
@@ -99,10 +99,10 @@
}, },
{ {
"cell_type": "markdown", "cell_type": "markdown",
"id": "376d050c-1088-414a-9a33-037e9d8a97cc", "id": "6a37b581-eb94-46fe-b609-59f9d285ca66",
"metadata": {}, "metadata": {},
"source": [ "source": [
"Most persons weigh around 75 kgs. in this survey." "# Most persons weigh around 75 kgs. in this survey."
] ]
}, },
{ {
@@ -138,10 +138,10 @@
}, },
{ {
"cell_type": "markdown", "cell_type": "markdown",
"id": "7fbdae7b-c7c0-472a-a52f-87d158129e25", "id": "72bbaa32-6802-449b-9d4a-e42124d0f388",
"metadata": {}, "metadata": {},
"source": [ "source": [
"There is no individual timeline in this dataset, and therefore no direct relationship between age and weight." "# There is no individual timeline in this dataset, and therefore no direct relationship between age and weight."
] ]
}, },
{ {
@@ -177,12 +177,12 @@
}, },
{ {
"cell_type": "markdown", "cell_type": "markdown",
"id": "1503d38c-8fe9-4b12-b8f9-ed3c51550c08", "id": "e853e8c2-5c69-4638-bb10-0d70d3744668",
"metadata": {}, "metadata": {},
"source": [ "source": [
"I want to see a distribution of persons by age by weight, with outliers.\n", "# I want to see a distribution of persons by age by weight, with outliers.\n",
"There are many outliers on the upside for all age groups.\n", "# There are many outliers on the upside for all age groups.\n",
"There are very few outliers on the downside for all age groups." "# There are very few outliers on the downside for all age groups."
] ]
}, },
{ {
@@ -218,10 +218,10 @@
}, },
{ {
"cell_type": "markdown", "cell_type": "markdown",
"id": "14aec0ff-b030-4916-8ce3-3ad8c56aa08f", "id": "a266d2e8-5331-42c0-a787-f1f7f18c9486",
"metadata": {}, "metadata": {},
"source": [ "source": [
"I want to see the main distribution of persons by age by weight." "# I want to see the main distribution of persons by age by weight."
] ]
}, },
{ {
@@ -275,17 +275,17 @@
}, },
{ {
"cell_type": "markdown", "cell_type": "markdown",
"id": "a912ec72-35a8-4325-8520-4a47d806c287", "id": "0d5ab303-cac5-4327-ab8b-107e4bc1a560",
"metadata": {}, "metadata": {},
"source": [ "source": [
"- Do the results give an accurate depiction of your research question? Yes. Why or why not? The dataset is a valid cross-section of U.S. persons. There are 166,426 records in this database. \"This dataset includes data from 50 states, the District of Columbia, Guam, and Puerto Rico, collected through a combination of landline and cell phone interviews.\" - 2020 Behavioral Risk Factor Surveillance System (BRFSS) annual survey data from the Centers for Disease Control and Prevention (CDC).\n", "#### - Do the results give an accurate depiction of your research question? Yes. Why or why not? The dataset is a valid cross-section of U.S. persons. There are 166,426 records in this database. \"This dataset includes data from 50 states, the District of Columbia, Guam, and Puerto Rico, collected through a combination of landline and cell phone interviews.\" - 2020 Behavioral Risk Factor Surveillance System (BRFSS) annual survey data from the Centers for Disease Control and Prevention (CDC).\n",
"- What were limitations of your dataset? The person answering the survey has a telephone, and voluntarily and accurately answers the survey questions.\n", "#### - What were limitations of your dataset? The person answering the survey has to have a telephone, and voluntarily and accurately answers the survey questions.\n",
"- Are there any known biases in the data? No. " "#### - Are there any known biases in the data? No. "
] ]
}, },
{ {
"cell_type": "markdown", "cell_type": "markdown",
"id": "4c170ecf-38a3-484b-8188-af144918199d", "id": "d5170f98-970f-43af-b51c-23cbc9848bf1",
"metadata": { "metadata": {
"editable": true, "editable": true,
"slideshow": { "slideshow": {
@@ -294,12 +294,20 @@
"tags": [] "tags": []
}, },
"source": [ "source": [
"Conclusions - There is no significant relationship between many persons age and weight because this dataset has no individual timeline. It's only a one-time snapshot." "## Conclusions"
] ]
}, },
{ {
"cell_type": "markdown", "cell_type": "markdown",
"id": "beneficial-invasion", "id": "bbce0e95-72eb-4bf3-b42d-afbe9d763beb",
"metadata": {},
"source": [
"# There is no significant relationship between many persons age and weight because this dataset has no individual timeline. It's only a one-time snapshot."
]
},
{
"cell_type": "markdown",
"id": "38771443-d958-4849-a19a-532c58feb13d",
"metadata": { "metadata": {
"editable": true, "editable": true,
"slideshow": { "slideshow": {
@@ -313,10 +321,10 @@
}, },
{ {
"cell_type": "markdown", "cell_type": "markdown",
"id": "b2b17e2e-0d75-4865-ab30-08250f5c8427", "id": "dc90ca26-d011-4622-b1ee-8954cf81c6dd",
"metadata": {}, "metadata": {},
"source": [ "source": [
"I found out that a snapshot dataset cannot discern a direct relationship between many persons age and weight, since there's no timeline in the dataset. What I learned is to be careful in drawing conclusions about datasets based on limited information. " "### I found out that a snapshot dataset cannot discern a direct relationship between many persons age and weight, since there's no timeline in the dataset. What I learned is to be careful in drawing conclusions about datasets based on limited information. "
] ]
} }
], ],

54
argument_backup.ipynb
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