\n"
]
},
{
"cell_type": "markdown",
"id": "atmospheric-beijing",
"metadata": {},
"source": [
"Now that we have looked at these data sets seperately and partially together here is one more image with all of the together."
]
},
{
"attachments": {
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"image/png": 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iNToEXz2Lq1GMHJeq5GAM7eiHvUfejmUbu3RIn0MHXRR/vj0LfIKKhQ2XXWdH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},
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"id": "embedded-times",
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"source": [
""
]
},
{
"cell_type": "markdown",
"id": "confirmed-arcade",
"metadata": {},
"source": [
"So from this we can derive pretty muuch all the same data as before, so a recap.\n",
"\n",
"Recap 1\n",
"\n",
"
**71%** of the data-set are marked as White, **23%** of the data-set is marked as Black
\n",
"
**37%** have spouses, **63%** of data-points to not have spouses
\n",
"
**75%** of data-points have Jobs, **25%** do not have Jobs
\n",
"\n",
"Recap 2\n",
"\n",
"
**46%** of those points which have jobs also are married, **12%** of people without Jobs are listed as having Spouses, This leaves the remaining **54%** data points with Jobs without Spouses and **88%** of those without Jobs as also not having Spouses
\n",
"
**70%** of the data entires labled Black have Jobs and the remaining **30%** do not, **77** of White data entries have jobs and the remaining **23%** do not.
\n",
"
**29%** of those with Spouses are Black, this leaves the remaining **71%** of those with Spouses as White, **30%** of those without Spouses are Black and the remaining **70** are White.
\n",
"
**38%** of White lables have Spouses, **337%** of Black lables have Spouses
"
]
},
{
"cell_type": "markdown",
"id": "optimum-indie",
"metadata": {},
"source": [
"If we consider our old and new data we see some intresting trends worth taking note of\n",
"\n",
"Employment\n",
"\n",
"
If we breakdown employment on racial lines we see that amoungst the Jobless population **Black labels have an unemployment rate 7% (30.59-23.49) higher than their White counterparts**.
\n",
"\n",
"Spouses\n",
"\n",
"
If we take a look at our new visulization we see another intresting trend when comparing Employment and Spouses. We see that amoungst those who have Spouses and are Unemployed they are all almost all White. We see that in this catigory 393 are White and 77 are Black, or, (393/470) 100= **84%** are White and **16%** are Black.
\n",
"
In the normal Spouse rate we see a difference of **38%(white)-37%(black)**= **1%%** difference of Spouse rates. We see amoungst the unemployed that the difference is **84%(white)-16%(black)**= **67%** difference
"
]
},
{
"cell_type": "markdown",
"id": "assumed-apartment",
"metadata": {},
"source": [
"**Finale Thoughts**\n",
"With all the Data collected I think it is clear that what is revealed are signfigant economic disparities between the White and Black populations. I am sure that if I was to continue this project and delve into the types of jobs each group works this would bare out. It is intresting though how this manifests in the Spouse rates between the populations. What I would guess we are seeing in the comparrison's between Jobs and Spouses likly have to due with retirment rates and the need for Black populations to need to keep working later. This is my hypothosis for why the data turned out the way it did. \n",
"\n",
"There are some problems to consider with the project which are worth noting. First and foremost, I have used very dirty data. More than anything else I am certain that there are numerious misreading which are skewing the data. With cleaning also comes introducing new data set possiblities which may spread more light on how marriage is functioning within the data-set. "
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "reflected-lloyd",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
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""
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"%%HTML\n",
" "
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{
"cell_type": "markdown",
"id": "informative-tobago",
"metadata": {},
"source": [
"Return: [Main Notebook](10.RaceMarriageProfession.ipynb)"
]
}
],
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