Author Archives: Christopher Mena

Assignment # 2 – Analysis of Graph

 

The New York Times: “With 8 Years of Job Gains, Unemployment Is Lowest Since 1969”

The article walks us through a series of historic events and factors which describes the following graph. Unemployment in the U.S has reached its lowest point since December of 1969 when hundreds of thousands of young Americans men were serving on Vietnam.  In September of 2008 443,000 jobs were lost as the financial system was collapsing around it, millions of jobs were lost the months following.  But after the hiring machine started, hundreds of thousands of jobs were created. 134,000 created on September alone makes it the 96th consecutive month growth. But as any other medium, this reflects into politics. The articles keep on presenting on how some economist don’t know how this milestone might not have any effects on voters on the polls as “surveys show that views of the economy are split along partisan lines, with Democrats and even many independents expressing less optimism than Republicans”.

This graph is a perfect representation on the events on the financial system in the last decade. On 2008 The financial crisis began with the lost of thousands of jobs. The years after did not show any signs of stopping as it reach its highest point on 2010. The years after are the results of carefully planning to fix the financial crisis which shows a slowly but surely slope going down as jobs are created throughout the years, landing at the lowest point at only 3.7% of unemployment.

Using the following approximation taken from the previous graph we can easily replicate and determine some interesting information:

Years 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018
Unemployment Rate (%) 5 5.1 6 10 9.4 8.4 8 6.8 5.3 5 4.6 3.7

 

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Response to :

Suggestions:
I believe that you made an even more detailed version of the original graph you selected, however I think that you could’ve further improved the graph by making a different version of it so it could truly be a reproduction of the original graph rather than a replica. Perhaps you could’ve done a bar graph rather than another line graph.

Word Problem:
In 2010 the unemployment rate was at an all time high being at up to 10% of Americans. By 2018 the unemployment rate gradually lowered down to less than 4%, how much was the unemployment rate lowered from 2010 to 2018?

Between the years 2010-2018 the difference between the employment rate is only 6.3%, where at 2010 it was at 10% and 2018 at 3.7%. This is a an astonishing decrease as it meant 1/10 of the working force or working capable people were unemployed, however, this trend started to disappear as the years progressed.

On the new bar graph we can even more clearly see what the tremendous change this country went through with the economic crisis at 2008 to the hardwork of many to bring the country back to stability.

 

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The New York Times

 

 

Introduction – Christopher Mena

Hello everyone, my name Christopher Mena. I am currently a full-time student at the New York City College of Technology majoring in Computer Science. Computer Science has always been my passion, but not my first choice. I decided to start Computer Engineering, after many ups and let down, I decided that I would only pursue something that would truly make me happy. I am a very friendly person, who loves going on hiking and explore nature. I love animals and I’m always excited to meet new species. I am very good at swimming and like very much the cold weather. While all of these sound amazing, I am extremely shy at occasions, but once I’m used to an environment, you’ll see the best of me. Statistics is a fundamental area not only for my career but also to the specialization I’m aiming for, which is AI and Data Science. Data Science and AI are both disciplinary fields that uses scientific methods to analyze large amounts of data in various forms that can be either structured or unstructured. With large amount of data is possible to train an AI to take critical decisions that would otherwise be too complex for humans being to analyze all at once. Statistics would play an incredible role is the development of such algorithms capable of dissecting large amount of data and transforming into coherent for both humans and computers to work with.