In “Boston’s Economic Diary,” we embark on a comprehensive journey through the economic heartbeat of Boston from 2013 to 2019. This detailed study utilizes a spectrum of data to paint a vivid picture of the city’s economic growth and challenges during this period. Key Highlights of the Analysis: Sectoral Interplay…
In our recent project, we utilized a neural network to predict job trends in Boston, focusing on the correlation between economic indicators like airport traffic and hotel rates and the number of jobs available. Key Aspects of the Neural Network Analysis: Model Composition: Our neural network, comprising multiple layers, was…
We’ve recently conducted a correlation analysis on Boston City’s economic data from 2013 to 2019, revealing some intriguing relationships between the labor market, tourism, and housing prices. Key highlights include a strong negative correlation between total jobs and housing prices, and an unexpected positive correlation between the unemployment rate and…
Below is an updated report for the Police Shooting incident happened in the USA as per The Washington Post.
The Correlation Matrix: A Window into Economic Dynamics Our correlation matrix included key indicators such as Logan Passengers, Hotel Occupancy Rate, Total Jobs, Unemployment Rate, and Median Housing Prices. This matrix serves as a roadmap, revealing how these variables move in tandem or opposition. Air Travel and Tourism: A Synchronized…
In the fast-paced world of economic analysis, understanding trends over time is crucial for making informed decisions. The Boston Redevelopment Authority’s dataset offers a goldmine of information, showcasing various economic indicators from 2013 to 2019. Our focus here is to dissect these trends through time series analysis, specifically examining Logan…
