Using Python, perform data analysis on the attached csv file regarding alzheimers. Then Study and analyze the dataset to find correlations between the average age of patients, average race of...

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After observing the database, the following the values are present
Out[121]:
CONDITION OUTCOME Year Geography GeoType GeoName GeoID
0 Alzheimer'sDisease Death 2017 El Cajon SRA EL CAJON 34
1 Alzheimer'sDisease Death 2017 Harbison Crest SRA HARBISON CREST 37
2 Alzheimer'sDisease Death 2017
Harbison
Crest-El Cajon NaN
HARBISON CREST-
EL CAJON 99
3 Alzheimer'sDisease Death 2017 Jamul SRA JAMUL 30
4 Alzheimer'sDisease Death 2017 La Mesa SRA LA MESA 33
... ... ... ... ... ... ... ...
3061 Alzheimer'sDisease
SNF/Intermediate
Care 2011
City of San
Marcos Municipal SAN MARCOS 15
3062 Alzheimer'sDisease
SNF/Intermediate
Care 2011 City of Santee Municipal SANTEE 16
3063 Alzheimer'sDisease
SNF/Intermediate
Care 2011
City of Solana
Beach Municipal SOLANA BEACH 17
3064 Alzheimer'sDisease
SNF/Intermediate
Care 2011 City of Vista Municipal VISTA 18
3065 Alzheimer'sDisease
SNF/Intermediate
Care 2011 Unincorporated Municipal UNINCORPORATED 19
3066 rows × 278 columns
import numpy as np
import pandas as pd
%matplotlib notebook
import matplotlib.pyplot as plt
data = pd.read_csv("alzheimersdisease.csv", delimiter=",", low_memory=False)
data
19/03/2022, 14:19 analysis - Jupyter Notebook
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races = ['White', 'Black', 'Hispanic', 'API', 'AIAN', 'Other_notAIAN']
AgeGroups =["0_14", "15_24", "25_44", "45_64", "65Plus"]
Gender = ["Male", "Female"]
def...