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Project #1: Data Visualization (PUMS Data With Tableau)
Data Visualization (PUMS data with Tableau)
Student’s Name
Institution
Date
Introduction
The housing, health, and living condition of people have changed for the last two decades. In the United State, several people depend on food stamps, and in the housing sector have changed as well. Therefore, understanding the housing, health, living condition, and economic growth, including the inflation trend, require analysis of various data. This study is meant to analyze the housing and living condition or statues of residents of Oregon. The purpose of the study is to test different variables. The research focuses on the house income, inflation, and the economic or income status of mixed couples. It first analyzed the relationship between a person's weight and the age every people to determine whether there is a relationship between the age and the weight of a person
Age and person weight
This case, the relationship between weight and age of individuals were tested. This was to determine whether the age of a person affect weight. Based on the analysis, the P (T<=t) one is 0, and the P (T<=t) two is 0. In this case, it means that the p-value is less than 0.05, which is the significant value. According to Michael (2015), when the p-value is less than 0.05, it means that the null hypothesis is rejected and therefore, there is no significant value. It is, therefore, means that there is no relationship between the variance. In this case, it can, therefore, conclude that there is no relationship between age and the weight, and therefore, the age does not determine the weight of a person.
Variable 1
Variable 2
Mean
100.7445739
42.0665133
Variance
5786.708805
551.1620883
Observations
39992
39992
Pearson Correlation
-0.142522245
Hypothesized Mean Difference
0
df
39991
t Stat
141.8124539
P(T<=t) one-tail
0
t Critical one-tail
1.644891731
P(T<=t) two-tail
0
t Critical two-tail
1.96002325
The second variables tested by this study are the relationship between ADJINC and FINCP and HINCP in the housing. The analysis of the data established that there is a relationship between inflation, house income, and house ownership as well. The study shows that the income of many households depends on the type of couples. The analysis of the household income based on the kind of couples shows a unique trend; the study indicates that married couples have higher income compared to single couples. Though same-sex couples are insignificant, the analysis shows that same-sex couples have higher income compared to the rest of couples or straight couples. The study shows that the means mean income for same-sex couples across the city is $164,000, and the mean income for different couples is $142,000. According to the result of the analyzed data, it is evident that the income of the same-sex couples is higher compared to different couples. This goes to mean to single people as well since the mean income of single people is $95,021. With this study, it can be concluded that the majority of single people have less income compared to couples living in Oregon.
There are several challenges related to couples in marriage and household income. And therefore, to establish the problem or challenges faced by couples whether same-sex or straight couples, the data set of household income and people’s personal data were used. The problem was solved using a simple range by merging of the data and then subtracting to include the primary household. The average income for couples was analyzed to determine the living standard of the community. It includes the living standard of same-sex couples, parents living with grandparents, and a number of children in a family. It is, therefore, established that Based on the analyzed data, the house income of residents depend on whether both couples are working or not, and the number of children couples have. The analysis of the data establishes that couples with few kids, and both working have higher house income. The analysis of the mean of the house income is 112.0823558, and therefore, it can be concluded that the majority of residents have a good income. However, depth analysis of the income in relation to family indicates that most couples with homes or houses are both working and also having 1 to 3 children. It can, therefore, be concluded that families with fewer children have higher income and have an investment as well. It is, therefore, evident that parents with children and both are working are having higher income compared to other couples without children.
Column1
Column2
Column8
Column9
Column11
Mean
90.655872
Mean
2.1066702
Mean
2.7371307
Mean
2.8498384
Mean
1.9727127
Standard Error
0.551599
Standard Error
0.0101961
Standard Error
0.0082787
Standard Error
0.015508
Standard Error
0.0012801
Median
75
Median
2
Median
3
Median
2
Median
2
Mode
0
Mode
2
Mode
3
Mode
2
Mode
2
Standard Deviation
76.262423
Standard Deviation
1.4096838
Standard Deviation
1.0897729
Standard Deviation
2.0414033
Standard Deviation
0.1629244
Sample Variance
5815.9571
Sample Variance
1.9872083
Sample Variance
1.1876049
Sample Variance
4.1673273
Sample Variance
0.0265444
Kurtosis
7.0766569
Kurtosis
3.6741399
Kurtosis
1.2770929
Kurtosis
2.528609
Kurtosis
31.685262
Skewness
2.1115996
Skewness
1.340229
Skewness
0.1163765
Skewness
1.9230776
Skewness
-5.8035635
Range
754
Range
20
Range
7
Range
9
Range
1
Minimum
0
Minimum
0
Minimum
0
Minimum
1
Minimum
1
Maximum
754
Maximum
20
Maximum
7
Maximum
10
Maximum
2
Sum
1732887
Sum
40269
Sum
47429
Sum
49382
Sum
31954
Count
19115
Count
19115
Count
17328
Count
17328
Count
16198
It can be concluded that there is no relationship between age and weight of an individual. It is established that the income of households depends on whether the couples are working or not, and when both couples are working, the household income is higher compared to other couples.
Michael, J.., (2015), Economic condition and performing indicators. International Journal of
Economics, 25-145 (21).
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