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Finished!!

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From this projected I learned that articles and datasets and be manipulated to tell a story
that my not be fully true and if you want to know what really happened, you most do the work
and look throw the data, put it to geither yourself, and see if you get the same results.
This commit is contained in:
tsmith37
2025-11-16 11:38:24 -05:00
parent de80a0d4c4
commit 73ad8beabf
2 changed files with 48 additions and 60 deletions
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54
.ipynb_checkpoints/argument-checkpoint.ipynb
View File

@@ -13,8 +13,6 @@
"id": "understanding-numbers",
"metadata": {},
"source": [
"*✏️ Write 2-3 sentences describing your research.*\n",
"\n",
"It's a collection of data on the reasons fatal car crashes occur in every state of America, and it will be used to determine which region of America is the deadliest. "
]
},
@@ -31,8 +29,6 @@
"id": "appreciated-testimony",
"metadata": {},
"source": [
"*✏️ Write 2-3 sentences explaining why this question.*\n",
"\n",
"I am interested in this because I live on the Northeast Coast and we have a lot of car \n",
"accidents. People drive very fast here. The roads are not always paved properly and maintained. I want to know if it's just bad luck when people get into accidents or if it's their own fault. "
]
@@ -47,7 +43,7 @@
},
{
"cell_type": "code",
"execution_count": 18,
"execution_count": 10,
"id": "technical-evans",
"metadata": {},
"outputs": [],
@@ -59,7 +55,7 @@
},
{
"cell_type": "code",
"execution_count": 24,
"execution_count": 11,
"id": "overhead-sigma",
"metadata": {},
"outputs": [],
@@ -74,7 +70,7 @@
},
{
"cell_type": "code",
"execution_count": 25,
"execution_count": 12,
"id": "heated-blade",
"metadata": {},
"outputs": [
@@ -213,7 +209,7 @@
"4 West "
]
},
"execution_count": 25,
"execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
@@ -229,8 +225,6 @@
"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.*\n",
"\n",
"### When is this data set from?\n",
"\n",
"I got the data set from FiveThirtyEight. It was used for an article called\n",
@@ -249,7 +243,7 @@
"\n",
"### How did this data set get clean?\n",
"\n",
"I did not need to do much cleaning of the data myself, but I did add a column called \"Region\" to separate the state into 5 different regions: Northwest, Midwest, Southeast, West, and Northeast. I also excluded data on Losses incurred by insurance companies for collisions per insured driver because insurance companies are well known for finding ways to get out of paying customers for collisions, thus it is not an accurate representation of fatal car crashes. \n",
"I did not need to do much data cleaning myself, but I did add a \"Region\" column to split the states into 4 regions: Midwest, Southeast, West, and Northeast. I also excluded data on Losses incurred by insurance companies for collisions per insured driver because insurance companies are well known for finding ways to avoid paying customers for collisions, so this is not an accurate representation of fatal car crashes. \n",
"\n",
"## What specific research questions will you investigate?\n",
"\n",
@@ -265,7 +259,7 @@
},
{
"cell_type": "code",
"execution_count": 26,
"execution_count": 13,
"id": "f7bba5f3-5911-4a76-ad43-f6ce78cd4fb3",
"metadata": {},
"outputs": [
@@ -281,7 +275,7 @@
" dtype='object')"
]
},
"execution_count": 26,
"execution_count": 13,
"metadata": {},
"output_type": "execute_result"
}
@@ -300,7 +294,7 @@
},
{
"cell_type": "code",
"execution_count": 27,
"execution_count": 14,
"id": "basic-canadian",
"metadata": {},
"outputs": [
@@ -310,7 +304,7 @@
"<function seaborn.rcmod.set_theme(context='notebook', style='darkgrid', palette='deep', font='sans-serif', font_scale=1, color_codes=True, rc=None)>"
]
},
"execution_count": 27,
"execution_count": 14,
"metadata": {},
"output_type": "execute_result"
}
@@ -362,7 +356,7 @@
},
{
"cell_type": "code",
"execution_count": 28,
"execution_count": 15,
"id": "negative-highlight",
"metadata": {},
"outputs": [
@@ -377,7 +371,7 @@
"Name: percentage_drivers_fatal_alcohol_impaired, dtype: float64"
]
},
"execution_count": 28,
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
}
@@ -395,7 +389,7 @@
},
{
"cell_type": "code",
"execution_count": 29,
"execution_count": 16,
"id": "victorian-burning",
"metadata": {},
"outputs": [
@@ -405,7 +399,7 @@
"<Axes: xlabel='region', ylabel='percentage_drivers_fatal_alcohol_impaired'>"
]
},
"execution_count": 29,
"execution_count": 16,
"metadata": {},
"output_type": "execute_result"
},
@@ -473,7 +467,7 @@
},
{
"cell_type": "code",
"execution_count": 30,
"execution_count": 17,
"id": "pursuant-surrey",
"metadata": {},
"outputs": [
@@ -488,7 +482,7 @@
"Name: car_insurance_premiums, dtype: float64"
]
},
"execution_count": 30,
"execution_count": 17,
"metadata": {},
"output_type": "execute_result"
}
@@ -764,7 +758,7 @@
},
{
"cell_type": "code",
"execution_count": 35,
"execution_count": 18,
"id": "b921b74c-951a-4f30-a42e-292f011fd61a",
"metadata": {},
"outputs": [
@@ -839,7 +833,7 @@
"West 14.972727 "
]
},
"execution_count": 35,
"execution_count": 18,
"metadata": {},
"output_type": "execute_result"
}
@@ -852,7 +846,7 @@
},
{
"cell_type": "code",
"execution_count": 36,
"execution_count": 19,
"id": "c242ede2-9440-4d49-8967-e6dfce650ec1",
"metadata": {},
"outputs": [
@@ -862,7 +856,7 @@
"<Axes: xlabel='region', ylabel='percentage_drivers_fatal_speeding'>"
]
},
"execution_count": 36,
"execution_count": 19,
"metadata": {},
"output_type": "execute_result"
},
@@ -883,7 +877,7 @@
},
{
"cell_type": "code",
"execution_count": 37,
"execution_count": 20,
"id": "c8079c91-3eb2-4dfd-88c0-53f8a81c9892",
"metadata": {},
"outputs": [
@@ -893,7 +887,7 @@
"<Axes: xlabel='region', ylabel='number_drivers_fatal_billion_miles'>"
]
},
"execution_count": 37,
"execution_count": 20,
"metadata": {},
"output_type": "execute_result"
},
@@ -965,7 +959,7 @@
},
{
"cell_type": "code",
"execution_count": 38,
"execution_count": 9,
"id": "dc9fd133-418b-4f32-b1f6-0efd3578051b",
"metadata": {},
"outputs": [
@@ -1092,7 +1086,7 @@
"West 855.624545 "
]
},
"execution_count": 38,
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
@@ -1117,7 +1111,7 @@
"\n",
"✏️ *Write your answer below:*\n",
"\n",
"Through my research on the five deadliest regions to drive in across America, I discovered how much my media consumption shapes what I believe about road safety. I realized that I tend to rely on quick social media clips or headlines that focus on shocking accidents instead of looking at real data or credible reports. Once I analyzed official statistics and news articles, I noticed how different the reality was from what I often see online.\n",
"Through my research on the deadliest regions to drive in across America, I discovered how much my media consumption shapes what I believe about road safety. I realized that I tend to rely on quick social media clips or headlines that focus on shocking accidents instead of looking at real data or credible reports. Once I analyzed official statistics and news articles, I noticed how different the reality was from what I often see online.\n",
"\n",
"It was surprising to find that the West and Midwest regions both were the highest for 2 out of the six fatal collision categories. Especially since the Midwest is a less populated area than the other regions. \n",
"\n",

54
argument.ipynb
View File

@@ -13,8 +13,6 @@
"id": "understanding-numbers",
"metadata": {},
"source": [
"*✏️ Write 2-3 sentences describing your research.*\n",
"\n",
"It's a collection of data on the reasons fatal car crashes occur in every state of America, and it will be used to determine which region of America is the deadliest. "
]
},
@@ -31,8 +29,6 @@
"id": "appreciated-testimony",
"metadata": {},
"source": [
"*✏️ Write 2-3 sentences explaining why this question.*\n",
"\n",
"I am interested in this because I live on the Northeast Coast and we have a lot of car \n",
"accidents. People drive very fast here. The roads are not always paved properly and maintained. I want to know if it's just bad luck when people get into accidents or if it's their own fault. "
]
@@ -47,7 +43,7 @@
},
{
"cell_type": "code",
"execution_count": 18,
"execution_count": 10,
"id": "technical-evans",
"metadata": {},
"outputs": [],
@@ -59,7 +55,7 @@
},
{
"cell_type": "code",
"execution_count": 24,
"execution_count": 11,
"id": "overhead-sigma",
"metadata": {},
"outputs": [],
@@ -74,7 +70,7 @@
},
{
"cell_type": "code",
"execution_count": 25,
"execution_count": 12,
"id": "heated-blade",
"metadata": {},
"outputs": [
@@ -213,7 +209,7 @@
"4 West "
]
},
"execution_count": 25,
"execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
@@ -229,8 +225,6 @@
"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.*\n",
"\n",
"### When is this data set from?\n",
"\n",
"I got the data set from FiveThirtyEight. It was used for an article called\n",
@@ -249,7 +243,7 @@
"\n",
"### How did this data set get clean?\n",
"\n",
"I did not need to do much cleaning of the data myself, but I did add a column called \"Region\" to separate the state into 5 different regions: Northwest, Midwest, Southeast, West, and Northeast. I also excluded data on Losses incurred by insurance companies for collisions per insured driver because insurance companies are well known for finding ways to get out of paying customers for collisions, thus it is not an accurate representation of fatal car crashes. \n",
"I did not need to do much data cleaning myself, but I did add a \"Region\" column to split the states into 4 regions: Midwest, Southeast, West, and Northeast. I also excluded data on Losses incurred by insurance companies for collisions per insured driver because insurance companies are well known for finding ways to avoid paying customers for collisions, so this is not an accurate representation of fatal car crashes. \n",
"\n",
"## What specific research questions will you investigate?\n",
"\n",
@@ -265,7 +259,7 @@
},
{
"cell_type": "code",
"execution_count": 26,
"execution_count": 13,
"id": "f7bba5f3-5911-4a76-ad43-f6ce78cd4fb3",
"metadata": {},
"outputs": [
@@ -281,7 +275,7 @@
" dtype='object')"
]
},
"execution_count": 26,
"execution_count": 13,
"metadata": {},
"output_type": "execute_result"
}
@@ -300,7 +294,7 @@
},
{
"cell_type": "code",
"execution_count": 27,
"execution_count": 14,
"id": "basic-canadian",
"metadata": {},
"outputs": [
@@ -310,7 +304,7 @@
"<function seaborn.rcmod.set_theme(context='notebook', style='darkgrid', palette='deep', font='sans-serif', font_scale=1, color_codes=True, rc=None)>"
]
},
"execution_count": 27,
"execution_count": 14,
"metadata": {},
"output_type": "execute_result"
}
@@ -362,7 +356,7 @@
},
{
"cell_type": "code",
"execution_count": 28,
"execution_count": 15,
"id": "negative-highlight",
"metadata": {},
"outputs": [
@@ -377,7 +371,7 @@
"Name: percentage_drivers_fatal_alcohol_impaired, dtype: float64"
]
},
"execution_count": 28,
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
}
@@ -395,7 +389,7 @@
},
{
"cell_type": "code",
"execution_count": 29,
"execution_count": 16,
"id": "victorian-burning",
"metadata": {},
"outputs": [
@@ -405,7 +399,7 @@
"<Axes: xlabel='region', ylabel='percentage_drivers_fatal_alcohol_impaired'>"
]
},
"execution_count": 29,
"execution_count": 16,
"metadata": {},
"output_type": "execute_result"
},
@@ -473,7 +467,7 @@
},
{
"cell_type": "code",
"execution_count": 30,
"execution_count": 17,
"id": "pursuant-surrey",
"metadata": {},
"outputs": [
@@ -488,7 +482,7 @@
"Name: car_insurance_premiums, dtype: float64"
]
},
"execution_count": 30,
"execution_count": 17,
"metadata": {},
"output_type": "execute_result"
}
@@ -764,7 +758,7 @@
},
{
"cell_type": "code",
"execution_count": 35,
"execution_count": 18,
"id": "b921b74c-951a-4f30-a42e-292f011fd61a",
"metadata": {},
"outputs": [
@@ -839,7 +833,7 @@
"West 14.972727 "
]
},
"execution_count": 35,
"execution_count": 18,
"metadata": {},
"output_type": "execute_result"
}
@@ -852,7 +846,7 @@
},
{
"cell_type": "code",
"execution_count": 36,
"execution_count": 19,
"id": "c242ede2-9440-4d49-8967-e6dfce650ec1",
"metadata": {},
"outputs": [
@@ -862,7 +856,7 @@
"<Axes: xlabel='region', ylabel='percentage_drivers_fatal_speeding'>"
]
},
"execution_count": 36,
"execution_count": 19,
"metadata": {},
"output_type": "execute_result"
},
@@ -883,7 +877,7 @@
},
{
"cell_type": "code",
"execution_count": 37,
"execution_count": 20,
"id": "c8079c91-3eb2-4dfd-88c0-53f8a81c9892",
"metadata": {},
"outputs": [
@@ -893,7 +887,7 @@
"<Axes: xlabel='region', ylabel='number_drivers_fatal_billion_miles'>"
]
},
"execution_count": 37,
"execution_count": 20,
"metadata": {},
"output_type": "execute_result"
},
@@ -965,7 +959,7 @@
},
{
"cell_type": "code",
"execution_count": 38,
"execution_count": 9,
"id": "dc9fd133-418b-4f32-b1f6-0efd3578051b",
"metadata": {},
"outputs": [
@@ -1092,7 +1086,7 @@
"West 855.624545 "
]
},
"execution_count": 38,
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
@@ -1117,7 +1111,7 @@
"\n",
"✏️ *Write your answer below:*\n",
"\n",
"Through my research on the five deadliest regions to drive in across America, I discovered how much my media consumption shapes what I believe about road safety. I realized that I tend to rely on quick social media clips or headlines that focus on shocking accidents instead of looking at real data or credible reports. Once I analyzed official statistics and news articles, I noticed how different the reality was from what I often see online.\n",
"Through my research on the deadliest regions to drive in across America, I discovered how much my media consumption shapes what I believe about road safety. I realized that I tend to rely on quick social media clips or headlines that focus on shocking accidents instead of looking at real data or credible reports. Once I analyzed official statistics and news articles, I noticed how different the reality was from what I often see online.\n",
"\n",
"It was surprising to find that the West and Midwest regions both were the highest for 2 out of the six fatal collision categories. Especially since the Midwest is a less populated area than the other regions. \n",
"\n",