Many Eyes

This graph depicts the relationship between the net number of migrants from different countries and the overall US population. The graph gives information pertaining to past, current, and predictive trends in migration to the U.S. The graph is excellent for showing the different times through history when spikes in migration have occurred from certain countries. Two particular countries are Germany and Russia. You can see the quick spikes in the amount of people immigrating and even emigrating. In the early 90's its interesting to see the emigration of people from Bosnia leaving the US.

This graph depicts death totals around the world in comparison to their overall populations. The graph gives information on past, present, and predictive amounts of population and death amounts. The most interesting part of the data set is the predictive portion. When you look at China's bubble you see just how large of a population it has. You also notice that as the population is predicted to grow it begins to slow and the death amount begins to climb significantly. Then the population begins to decrease and the death amounts continue to increase. Basically, the data set predicts that China will not be able to support its growing population and because of this the death toll will grow. Because the population reaches its threshold the deaths begin to add up and the population experiences a downturn. India on the other hand, shows that it does have the resources to expand its population. It is predicted to have a larger population than China and a fewer death total as well.

This last graph is a depiction of life expectancy at birth as compared to their population. The data compares past, present, and futuristic predictions of life expectancy at birth and their population. I know when I was looking at the data I expected the US to be right at the top of the list for life expectancy and expected to see China and India in the middle of the pack. However it was not so, the United States is not at the top and surprisingly, China and India are both within 10 years of the US's life expectancy. It is also interesting to see the various African nations that have steep drop offs in life expectancy. Rwanda, Somalia, and Cambodia all have life expectancies that drop to under 20 years with Rwanda's reaching a low of about 10 years at one point. This can be linked to the historical genocides that have happened in those countries in the last 50 years. Another interesting part of the graph is the unexpected longest life expectancy at birth going to Monaco at nearly 90 years.

Energy Production - comparing the US and China

This first graph shows the relationship between our per-capita income and our CO2 emissions. As expected the U.S. has one of the highest per-capita GDPs. On the other end of the graph is China who has a relatively low per-capita GDP. Americans, while not really taking all the steps necessary to overcome global warming, are at least aware of how much CO2 we emit in comparison to other countries. So it is understandable that the U.S. is on the high end of the spectrum for CO2 emissions and GDP per-capita. As the years have advanced we've seen a steady climb in the greenhouse gas output in America. That is not uncommon because most of the countries do have a gradual increase in the CO2 output. However, China goes through an incredible increase in the last decade in the graph. Perhaps, it is because of the economic growth that China has been experiencing that has resulted in a increase in the output of greenhouse gasses.

This second graph shows the energy production in quarts of oil with relation to GDP per-capita. On the right side of the graph the U.S. boasts their high GDP per-capita. On the left side is China with their very low GDP per capita. The graph itself shows the changes in energy production and GDP per capita over time. As the years progress their is a general trend of an increase in GDP and energy production. One interesting piece of the graph is the Russia bubble. Russia is interesting because they exhibit a massive energy production because of the nuclear energy they were harnessing for a while. After some of the issues they had with it, it falls significantly down the graph. China increase's their energy production and when compared to my other graph you can see that as their CO2 greenhouse gass has increased so has their energy production.

Yahoo Pipes 1

My pipe is meant to sort through all of the ESPN stories and just return the ones that contain the words nba or basketball.


Yahoo Pipes 1

The Big Switch

·     The cloud is very similar to the idea of a power supplier in the 1800’s. Business’ do not need to store and manage their data but can now pay google to do so on their cloud.

·      We are on the brink of a shift in the way people and businesses store data.

·       It makes more sense for companies to buy into a giant storage facility like google cloud rather than invest lots of their own money into building their own data warehouse.

·        Cloud computing challenges the assumption that businesses need to store and manage their own data and data warehouses.

·         By storing data in a cloud you can allocate more of your capital to things like innovation and R and D.

·        Clouds allow for companies to be more centralized and efficient in their data storage.

·        People’s attitudes towards cloud computing is changing for the better and evolving with the technology.

·      Cloud computing and virtualization allow companies to free up things that used to be hard assets into cheaper virtual assets.

·       The biggest sign that cloud computing is going to be big is on the consumer side. We have already began to adapt where consumers no longer have to go out and buy software in physical form and put in the disc and download the programs anymore.

·       Businesses are following the trend rather than setting the trend in cloud computing and now are starting to make the shift that consumers have already made.

Electric Telegraph

Similarities

1.       Soon after their creation electric telegraphs could transmit messages across the world almost instantly.

2.       In telegraphs and the internet the message is encoded and decoded on the other end of the spectrum.

3.       In Both cases lines are used in order to transfer data from point to point. The internets just happens to be much more complex now.

Differences

1.       The internet as we know it today does not require someone to decode the message like was necessary as the telegraph was getting started. Rather someone rights code and systems have ways of decoding that message and displaying it on your device.

2.       One obvious difference is the complexity the internet can handle. A telegraph was used for very basic messages almost like writing letters to people where now the internet allows for people to send messages with links to other messages that contain huge amounts of data.

3.       Another obvious difference is the visual aspect of the internet. Telegraphs did not allow for things to be shown visually like the internet does with pictures and videos.

Interesting Fact

1.       According to Wikipedia it took 15 years between the first commercial Morse Telegraph line being formed and the first transcontinental telegraph to be laid.