Project 3:
Link to my Report – click here
Link to my Code – click here
MTH 522 Friday 08/09 DECEMBER
Title: Mastering the Art of Report Synthesis: Unveiling Boston’s Economic Evolution (2013-2019)
I focused on summarizing our findings from the 5 weeks of work. I had to turn complex statistical analyses and detailed observations into a clear and smooth story. This meant simplifying the information we gathered about Boston’s economy from 2013 to 2019.
I took the results from our detailed number-crunching and combined them with the ideas we had developed during our research. The goal was not just to show data but to tell a story that explained the trends and changes in Boston’s economy during the studied years.
This story was the main part of my final report. I wanted to make a document that did not just throw out numbers but also gave a good understanding of how Boston’s economy changed over time. By blending the hard facts with our research ideas, I aimed to create something that would not only inform but also interest the people reading it. The 4642 words report goes beyond just showing trends and it helps anyone interested in Boston’s economic journey from 2013 to 2019.
MTH 522 Friday 06 DECEMBER
Title: Fine-Tuning Models for Precision
As I delved into the fine-tuning phase my primary focus was on enhancing the precision of our models. This involved meticulous adjustments to hyperparameters, iterative training sessions, and continuous validation to ensure optimal performance. The goal was not just to achieve high accuracy but to fine-tune the models to capture nuanced patterns within the data. I collaborated closely leveraging collective expertise to address challenges and refine the models for a more nuanced understanding of the underlying trends.
Simultaneously, I also initiated strategic planning for the upcoming synthesis phase. Recognizing the need to distill the intricate findings into a comprehensible narrative, I outlined a structured approach. This involved identifying key themes, establishing a coherent flow of information, and determining the most effective visualizations to accompany our synthesized insights. The synthesis phase was viewed as a critical juncture where the scientific rigor of our analysis would converge with communicative clarity. Collaborative brainstorming sessions laid the foundation for a well-orchestrated synthesis process that aimed not only to convey the complexity of our results but also to empower stakeholders with actionable takeaways.
MTH 522 Friday 04 DECEMBER
Title: Making Our Models Stronger
I know that real-world data can be tricky, so I did something called sensitivity analyses to make sure our regression models are tough and reliable. Sensitivity analyses mean we carefully played around with different factors, looked at how unusual data points affect our results, and thought about other things that could mess with our predictions. The goal was to find any weak points in our models and make them better so that they work well in different situations.
When I did sensitivity analyses I learned a lot about how steady our regression models are when the data changes. I paid close attention to how strange data points and other factors could mess with our models. This careful look helps us make sure that what we conclude is not only true for specific situations but is solid overall. It’s like checking our work to be sure we can trust what I found in my research.
MTH 522 Friday 01 DECEMBER
Title: Hypothesis Testing Insights
In the part about hypothesis testing, I went deeper into checking if what we found in our regression models is valid and helps us draw important conclusions. I used statistical tests to figure out if the relationships between the different things we studied were meaningful or not. This careful approach makes our insights more reliable and gives us a strong basis for understanding what our research means.
I set up hypotheses (educated guesses) and tested them to see how strong and in what direction the connections in our data are. This strict method not only makes our results more trustworthy but also helps us make smart decisions based on the proof we find in our analyses. Including hypothesis testing in my study means that my conclusions are not just based on random connections but are supported by solid statistical evidence.
MTH 522 Wednesday 29 November
Title: Unveiling the Impact: Logan International Airport and Hotel Occupancy Rates
I focused on a fancy statistical method called regression modeling. We looked closely at two important things:
- the numbers related to Logan International Airport and how full hotels were. These things were like the main characters in our study, helping us figure out how they influenced economic indicators.
- By carefully looking at the numbers, I didn’t just find out how transportation and hotel numbers directly affect things like the economy. I also discovered hidden connections that together create a complete picture of how these factors impact the bigger economic picture. This deep dive into the data gave us important insights and helped me to understand the complex forces that shape economic trends. It reminded us how crucial it is to think about many different factors when analyzing data thoroughly.
MTH 522 Monday 27 November
Title : Introduction to Regression Modeling
Over the past few days, I delved into the realm of advanced statistical analyses, with a primary focus on regression modeling. This sophisticated technique empowered us to systematically quantify relationships between crucial variables, injecting a quantitative dimension into our previously qualitative observations. This analytical step marked a pivotal moment as we sought to unravel the intricate web of connections within our data.
MTH 522 Friday 24 November
Title: Getting Ready for Deeper Analysis
After learning a lot from our data exploration now I am gearing up for some more advanced analyses in the coming weeks. We want to find out even deeper about how different things are connected by using more complicated statistical methods like regression modeling and hypothesis testing.
This way, I can uncover more detailed insights and get a better grasp of how Boston’s economy works. It’s like moving from the basics to the next level of understanding, using fancier tools to uncover more detail in the relationships between key factors.
MTH 522 Wednesday 22 November
Title: Finding Surprises and Making Educated Guesses
As we dug into our data, we looked for things that seemed a bit unusual or unexpected stuff that stood out as maybe not fitting the usual patterns. This led us to modify our dataset and make sure it is all set for detailed analysis.
At the same time, I started to make some educated guesses, forming ideas that guide what I will look at next. One interesting idea we had was whether changes in how full hotels are might have something to do with how many people are employed. It is like a guess that helps us focus on specific parts of the economic indicators I was checking out.
MTH 522 Monday 20 November
Title: Getting Into Exploring Our Data
So I started looking more closely at our data through exploratory data analysis (EDA). Now that we had a better grip on what our dataset was all about and what we wanted to find, we began using visual tools to dive deeper.
I have used things like time series plots (which show how data changes over time) and correlation matrices (which reveal connections between different economic indicators). These tools helped us spot the first signs of patterns and relationships among the various economic indicators I was investigating. It seems like becoming a detective for a while to uncover the story hidden in the data.