Analysis of NYCHA’s Data
Introduction
From the New York City Housing Authority, I am analyzing each resident’s demographic data set. The data contains 43 columns, consisting of many variations such as Program, Total Families, Total Female Headed Families, Total Male Headed Families. The Resident Data Book we will be analyzing involves data from March 2013 to July 2019, which will help us understand the number of housing programs and families enroll in those programs in order to see the relationship between the number of females vs males in charge of the house. At this point based on the data gathered we can ask ourselves questions like what’s the ratio of female to male household head? Or Why are there more female household heads in charge in the programs provided by NYCHA? Since a lot of the calculations and data gathering is already done for us, we will focus on the analysis of the data set, based on a variety of graphs: histograms and scatter plots as well as statistical tools: linear regression and confidence level and more to further draw a more accurate conclusions for our questions.
Single Variable Plot
Description of 1st two images The first Image illustrates the total number of families enrolled in any of the programs provided by the NYCHA. As you have noticed, the graph appears to be skewed right with a huge gap in the middle of the graphs. The gap can be attributed to lack of data gathering for certain periods of time which may have resulted in families not applying for the programs or the data was so insignificant that they discharged it. While the other image shows the types of programs families can enroll. The graph shows a steady number of enrollment across all the programs available. However, one thing to notice is that some programs are more predominant than others, meaning there is more variety such programs supported by the NYCHA ,namely: Manhattan, while others are less popular: Federal.
Description of Images Here we will look at the female and male families' household histograms. The female household head image illustrates the number of females in charge of the house based on their gross income. Whereas, the other graph shows the number of males in charge of the house. We can see that the female household chart has a larger range than the male, as both images are skewed to the right. This suggests that more women have stable and perhaps higher paying jobs than men, when looking at the NYCHA sample data set. Furthermore, similar to the Total Families Histogram, we can visibly see the huge gap in the middle caused by the small number of data gathered or lack of programs available for families to apply.
Code Available on github